# Full Publications

## My Publications

See My Web of Science ID, Scopus, ResearchGate, ORCID, MathSciNet, zbMATH, Google Scholar, DBLP, and arXiv.

* means Corresponding author.

These materials are provided to ensure the timely dissemination of scholarly and technical work. The copyright of these papers is owned by their publishers. Misuse of any of the content posted below may result in plagiarism. By downloading any material from this site, you are assumed to agree with these terms.

Thanks to my mentors and all my collaborators! I acknowledge my family for their encouragement and support in the past, present, and future. In particular, I thank the love of my life, Ms. Shanshan Xu, for her continued Love for me.

Bing Tan has published 64 papers in some mathematical journals, including 55 SCIE, 2 ESCI, 6 EI (more than 30 EI-indexed articles), and 1 other. The first author of 43 papers and co-author of 21 papers.

By Author: By author newpage

By Topic: By topic newpage

By Chinese JCR: By Chinese JCR newpage

By Year: 2025 / 2024 / 2023 / 2022 / 2021 / 2020

## 2025

Liya Liu, Songxiao Li,

**Bing Tan***. Strong convergence of Bregman projection algorithms for solving split feasibility problems with applications.*Communications in Nonlinear Science and Numerical Simulation*. 2025, 148, Article ID 108374. (SCI, EI, MathSciNet) [PDF] [Link] [Cite]Liu, L., Li, S., Tan, B.: Strong convergence of Bregman projection algorithms for solving split feasibility problems with applications.*Commun. Nonlinear Sci. Numer. Simul.***140**, Article ID 108374 (2025)

## 2024

**Bing Tan**, Xiaolong Qin*. On relaxed inertial projection and contraction algorithms for solving monotone inclusion problems.*Advances in Computational Mathematics*. 2024, 50(4), Article ID 59. (SCI, MathSciNet) [PDF] [Link] [Cite]Tan, B., Qin, X.: On relaxed inertial projection and contraction algorithms for solving monotone inclusion problems.*Adv. Comput. Math.***50**, Article ID 59 (2024)**Bing Tan**, Xiaolong Qin*, Jen-Chih Yao. Extragradient algorithms for solving equilibrium problems on Hadamard manifolds.*Applied Numerical Mathematics*. 2024, 201, 187–216. (SCI, MathSciNet) [PDF] [Link] [BibTeX] [Cite]Tan, B., Qin, X., Yao, J.C.: Extragradient algorithms for solving equilibrium problems on Hadamard manifolds.*Appl. Numer. Math.***201**, 187--216 (2024)**Bing Tan**, Xiaolong Qin, Xianfu Wang*. Alternated inertial algorithms for split feasibility problems.*Numerical Algorithms*. 2024, 95(2), 773–812. (SCI, MathSciNet) [PDF] [Link] [Cite]Tan, B., Qin, X., Wang, X.: Alternated inertial algorithms for split feasibility problems.*Numer. Algorithms***95**, 773--812 (2024)**Bing Tan**, Songxiao Li*. Modified inertial projection and contraction algorithms with non-monotonic step sizes for solving variational inequalities and their applications.*Optimization*. 2024, 73(3), 793–832. (SCI, MathSciNet) [PDF] [Link] [Cite]Tan, B., Li, S.: Modified inertial projection and contraction algorithms with non-monotonic step sizes for solving variational inequalities and their applications.*Optimization***73**, 793--832 (2024)Xiaolong Qin, Adrian Petruşel,

**Bing Tan**, Jen-Chih Yao*. Efficient extragradient methods for bilevel pseudomonotone variational inequalities with non-Lipschitz operators and their applications.*Fixed Point Theory*. 2024, 25(1), 309–332. (SCI, MathSciNet) [PDF] [Link] [Cite]Qin, X., Petru{\c s}el, A., Tan, B., Yao, J.C.: Efficient extragradient methods for bilevel pseudomonotone variational inequalities with non-Lipschitz operators and their applications.*Fixed Point Theory***25**, 309--332 (2024)Shanshan Xu,

**Bing Tan**, Songxiao Li*. Two novel algorithms for solving variational inequality problems governed by fixed point problems and their applications.*Fixed Point Theory*. 2024, 25(2), 747–772. (SCI, MathSciNet) [PDF] [Link] [Cite]Xu, S., Tan, B., Li, S.: Two novel algorithms for solving variational inequality problems governed by fixed point problems and their applications.*Fixed Point Theory***25**, 747--772 (2024)Zheng Zhou,

**Bing Tan**, Songxiao Li*. Inertial algorithms with adaptive stepsizes for split variational inclusion problems and their applications to signal recovery problem.*Mathematical Methods in the Applied Sciences*. 2024, 47(12), 9431–9449. (SCI, MathSciNet) [PDF] [Link] [Cite]Zhou, Z., Tan, B., Li, S.: Inertial algorithms with adaptive stepsizes for split variational inclusion problems and their applications to signal recovery problem.*Math. Methods Appl. Sci.***47**, 9431--9449 (2024)Zheng Zhou*,

**Bing Tan**, Songxiao Li. Self-adaptive-type CQ algorithms for split equality problems.*Fixed Point Theory*. 2024, 25(1), 435–456. (SCI, MathSciNet) [PDF] [Link] [Cite]Zhou, Z., Tan, B., Li, S.: Self-adaptive-type CQ algorithms for split equality problems.*Fixed Point Theory***25**, 435--456 (2024)Zhongbing Xie, Gang Cai*,

**Bing Tan**. Inertial subgradient extragradient method for solving pseudomonotone equilibrium probelms and fixed point problems in Hilbert spaces.*Optimization*. 2024, 73(5), 1329–1354. (SCI, MathSciNet) [PDF] [Link] [Cite]Xie, Z., Cai, G., Tan, B.: Inertial subgradient extragradient method for solving pseudomonotone equilibrium probelms and fixed point problems in Hilbert spaces.*Optimization***73**, 1329--1354 (2024)Xiaolin Zhou, Gang Cai*,

**Bing Tan**, Qiao-Li Dong. A modified generalized version of projected reflected gradient method in Hilbert spaces.*Numerical Algorithms*. 2024, 95(1), 117–147. (SCI, MathSciNet) [PDF] [Link] [Cite]Zhou, X., Cai, G., Tan, B., Dong, Q.-L.: A modified generalized version of projected reflected gradient method in Hilbert spaces.*Numer. Algorithms***95**, 117--147 (2024)

## 2023

**Bing Tan**, Xiaolong Qin*. An alternated inertial algorithm with weak and linear convergence for solving monotone inclusions.*Annals of Mathematical Sciences and Applications*. 2023, 8(2), 321–345. (ESCI, MathSciNet) [PDF] [Link] [Cite]Tan, B., Qin, X.: An alternated inertial algorithm with weak and linear convergence for solving monotone inclusions.*Ann. Math. Sci. Appl.***8**, 321--345 (2023)**Bing Tan**, Aviv Gibali*, Xiaolong Qin. Three approximation methods for solving constraint variational inequalities and related problems.*Pure and Applied Functional Analysis*. 2023, 8(3), 965–986. (MathSciNet) [PDF] [Link] [Cite]Tan, B., Gibali, A., Qin, X.: Three approximation methods for solving constraint variational inequalities and related problems.*Pure Appl. Funct. Anal.***8**, 965--986 (2023)**Bing Tan**, Songxiao Li*. Adaptive inertial subgradient extragradient methods for finding minimum-norm solutions of pseudomonotone variational inequalities.*Journal of Industrial and Management Optimization*. 2023, 19(10), 7640–7659. (SCI, EI, MathSciNet) [PDF] [Link] [Cite]Tan, B., Li, S.: Adaptive inertial subgradient extragradient methods for finding minimum-norm solutions of pseudomonotone variational inequalities.*J. Ind. Manag. Optim.***19**, 7640--7659 (2023)**Bing Tan**, Songxiao Li, Sun Young Cho*. Inertial projection and contraction methods for pseudomonotone variational inequalities with non-Lipschitz operators and applications.*Applicable Analysis*. 2023, 102(4), 1199–1221. (SCI, MathSciNet) [PDF] [Link] [Cite]Tan, B., Li, S., Cho, S.Y.: Inertial projection and contraction methods for pseudomonotone variational inequalities with non-Lipschitz operators and applications.*Appl. Anal.***102**, 1199--1221 (2023)**Bing Tan**, Pongsakorn Sunthrayuth*, Prasit Cholamjiak, Yeol Je Cho. Modified inertial extragradient methods for finding minimum-norm solution of the variational inequality problem with applications to optimal control problem.*International Journal of Computer Mathematics*. 2023, 100(3), 525–545. (SCI, EI, MathSciNet) [PDF] [Link] [Cite]Tan, B., Sunthrayuth, P., Cholamjiak, P., Cho, Y.J.: Modified inertial extragradient methods for finding minimum-norm solution of the variational inequality problem with applications to optimal control problem.*Int. J. Comput. Math.***100**, 525--545 (2023)Yinglin Luo,

**Bing Tan**, Songxiao Li*. Inertial splitting algorithms for nonlinear operators of pseudocontractive and accretive types.*Optimization*. 2023, 72(3), 647–675. (SCI, MathSciNet) [PDF] [Link] [Cite]Luo, Y., Tan, B., Li, S.: Inertial splitting algorithms for nonlinear operators of pseudocontractive and accretive types.*Optimization***72**, 647--675 (2023)Shaotao Hu, Yuanheng Wang*,

**Bing Tan**, Fenghui Wang. Inertial iterative method for solving variational inequality problems of pseudo-monotone operators and fixed point problems of nonexpansive mappings in Hilbert spaces.*Journal of Industrial and Management Optimization*. 2023, 19(4), 2655–2675. (SCI, EI, MathSciNet) [PDF] [Link] [Cite]Hu, S., Wang, Y., Tan, B., Wang, F.: Inertial iterative method for solving variational inequality problems of pseudo-monotone operators and fixed point problems of nonexpansive mappings in Hilbert spaces.*J. Ind. Manag. Optim.***19**, 2655--2675 (2023)

## 2022

**Bing Tan**, Xiaolong Qin*, Sun Young Cho. Revisiting subgradient extragradient methods for solving variational inequalities.*Numerical Algorithms*. 2022, 90(4), 1593–1615. (SCI, MathSciNet)**(**[PDF] [Link] [Cite]*ESI Highly Cited Paper*)Tan, B., Qin, X., Cho, S.Y.: Revisiting subgradient extragradient methods for solving variational inequalities.*Numer. Algorithms***90**, 1593--1615 (2022)**Bing Tan**, Xiaolong Qin*, Jen-Chih Yao. Strong convergence of inertial projection and contraction methods for pseudomonotone variational inequalities with applications to optimal control problems.*Journal of Global Optimization*. 2022, 82(3), 523–557. (SCI, EI, MathSciNet) [PDF] [Link] [Cite]Tan, B., Qin, X., Yao, J.-C.: Strong convergence of inertial projection and contraction methods for pseudomonotone variational inequalities with applications to optimal control problems.*J. Global Optim.***82**, 523--557 (2022)**Bing Tan**, Xiaolong Qin*. Modified inertial projection and contraction algorithms for solving variational inequality problems with non-Lipschitz continuous operators.*Analysis and Mathematical Physics*. 2022, 12(1), Article ID 26. (SCI, MathSciNet) [PDF] [Link] [Cite]Tan, B., Qin, X.: Modified inertial projection and contraction algorithms for solving variational inequality problems with non-Lipschitz continuous operators.*Anal. Math. Phys.***12**, Article ID 26 (2022)**Bing Tan**, Adrian Petruşel, Xiaolong Qin*, Jen-Chih Yao. Global and linear convergence of alternated inertial single projection algorithms for pseudo-monotone variational inequalities.*Fixed Point Theory*. 2022, 23(1), 391–426. (SCI, MathSciNet) [PDF] [Link] [Cite]Tan, B., Petru{\c s}el, A., Qin, X., Yao, J.-C.: Global and linear convergence of alternated inertial single projection algorithms for pseudo-monotone variational inequalities.*Fixed Point Theory***23**, 391--426 (2022)**Bing Tan**, Xiaolong Qin*. Adaptive modified inertial projection and contraction methods for pseudomonotone variational inequalities.*Journal of Applied and Numerical Optimization*. 2022, 4(2), 221–243. (EI) [PDF] [Link] [Cite]Tan, B., Qin, X.: Adaptive modified inertial projection and contraction methods for pseudomonotone variational inequalities.*J. Appl. Numer. Optim.***4**, 221--243 (2022)**Bing Tan**, Xiaolong Qin*. Self adaptive viscosity-type inertial extragradient algorithms for solving variational inequalities with applications.*Mathematical Modelling and Analysis*. 2022, 27(1), 41–58. (SCI, EI, MathSciNet)**(**[PDF] [Link] [Cite])*ESI Highly Cited Paper*Tan, B., Qin, X.: Self adaptive viscosity-type inertial extragradient algorithms for solving variational inequalities with applications.*Math. Model. Anal.***27**, 41--58 (2022)**Bing Tan**, Liya Liu*, Xiaolong Qin. Strong convergence of inertial extragradient algorithms for solving variational inequalitis and fixed point problems.*Fixed Point Theory*. 2022, 23(2), 707–728. (SCI, MathSciNet) [PDF] [Link] [Cite]Tan, B., Liu, L., Qin, X.: Strong convergence of inertial extragradient algorithms for solving variational inequalitis and fixed point problems.*Fixed Point Theory***23**, 707--728 (2022)**Bing Tan**, Songxiao Li*. Revisiting projection and contraction algorithms for solving variational inequalities and applications.*Applied Set-Valued Analysis and Optimization*. 2022, 4(2), 167–183. (EI) [PDF] [Link] [Cite]Tan, B., Li, S.: Revisiting projection and contraction algorithms for solving variational inequalities and applications.*Appl. Set-Valued Anal. Optim.***4**, 167--183 (2022)**Bing Tan**, Zheng Zhou, Songxiao Li*. Viscosity-type inertial extragradient algorithms for solving variational inequality problems and fixed point problems.*Journal of Applied Mathematics and Computing*. 2022, 68(2), 1387–1411. (SCI, EI, MathSciNet) [PDF] [Link] [Cite]Tan, B., Zhou, Z., Li, S.: Viscosity-type inertial extragradient algorithms for solving variational inequality problems and fixed point problems.*J. Appl. Math. Comput.***68**, 1387--1411 (2022)**Bing Tan**, Songxiao Li*, Sun Young Cho. Revisiting inertial subgradient extragradient algorithms for solving bilevel variational inequality problems.*Journal of Applied and Numerical Optimization*. 2022, 4(3), 425–444. (EI) [PDF] [Link] [Cite]Tan, B., Li, S., Cho, S.Y.: Revisiting inertial subgradient extragradient algorithms for solving bilevel variational inequality problems.*J. Appl. Numer. Optim.***4**, 425--444 (2022)**Bing Tan**, Sun Young Cho*, Jen-Chih Yao. Accelerated inertial subgradient extragradient algorithms with non-monotonic step sizes for equilibrium problems and fixed point problems.*Journal of Nonlinear and Variational Analysis*. 2022, 6(1), 89–122. (SCI, EI) [PDF] [Link] [Cite]Tan, B., Cho, S.Y., Yao, J.-C.: Accelerated inertial subgradient extragradient algorithms with non-monotonic step sizes for equilibrium problems and fixed point problems.*J. Nonlinear Var. Anal.***6**, 89--122 (2022)**Bing Tan**, Sun Young Cho*. Two adaptive modified subgradient extragradient methods for bilevel pseudomonotone variational inequalities with applications.*Communications in Nonlinear Science and Numerical Simulation*. 2022, 107, Article ID 106160. (SCI, EI, MathSciNet) [PDF] [Link] [Cite]Tan, B., Cho, S.Y.: Two adaptive modified subgradient extragradient methods for bilevel pseudomonotone variational inequalities with applications.*Commun. Nonlinear Sci. Numer. Simul.***107**, Article ID 106160 (2022)**Bing Tan**, Sun Young Cho*. Two projection-based methods for bilevel pseudomonotone variational inequalities involving non-Lipschitz operators.*Revista de la Real Academia de Ciencias Exactas, Físicas y Naturales. Serie A. Matemáticas*. 2022, 116(2), Article ID 64. (SCI, EI, MathSciNet) [PDF] [Link] [Cite]Tan, B., Cho, S.Y.: Two projection-based methods for bilevel pseudomonotone variational inequalities involving non-Lipschitz operators.*Rev. R. Acad. Cienc. Exactas F{\' i}s. Nat. Ser. A Mat. RACSAM***116**, Article ID 64 (2022)**Bing Tan**, Sun Young Cho*. Strong convergence of inertial forward-backward methods for solving monotone inclusions.*Applicable Analysis*. 2022, 101(15), 5386–5414. (SCI, MathSciNet)**(**[PDF] [Link] [Cite]*ESI Highly Cited Paper*)Tan, B., Cho, S.Y.: Strong convergence of inertial forward-backward methods for solving monotone inclusions.*Appl. Anal.***101**, 5386--5414 (2022)**Bing Tan**, Sun Young Cho*. Inertial extragradient algorithms with non-monotone stepsizes for pseudomonotone variational inequalities and applications.*Computational and Applied Mathematics*. 2022, 41(3), Article ID 121. (SCI, EI, MathSciNet) [PDF] [Link] [Cite]Tan, B., Cho, S.Y.: Inertial extragradient algorithms with non-monotone stepsizes for pseudomonotone variational inequalities and applications.*Comput. Appl. Math.***41**, Article ID 121 (2022)**Bing Tan**, Sun Young Cho*. Two new projection algorithms for variational inequalities in Hilbert spaces.*Journal of Nonlinear and Convex Analysis*. 2022, 23(11), 2523–2534. (SCI, MathSciNet) [PDF] [Link] [Cite]Tan, B., Cho, S.Y.: Two new projection algorithms for variational inequalities in Hilbert spaces.*J. Nonlinear Convex Anal.***23**, 2523--2534 (2022)Zheng Zhou,

**Bing Tan**, Songxiao Li*. Adaptive hybrid steepest descent algorithms involving an inertial extrapolation term for split monotone variational inclusion problems.*Mathematical Methods in the Applied Sciences*. 2022, 45(15), 8835–8853. (SCI, EI, MathSciNet) [PDF] [Link] [Cite]Zhou, Z., Tan, B., Li, S.: Adaptive hybrid steepest descent algorithms involving an inertial extrapolation term for split monotone variational inclusion problems.*Math. Methods Appl. Sci.***45**, 8835--8853 (2022)Zheng Zhou,

**Bing Tan**, Songxiao Li*. Two self-adaptive inertial projection algorithms for solving split variational inclusion problems.*AIMS Mathematics*. 2022, 7(4), 4960–4973. (SCI, MathSciNet) [PDF] [Link] [Cite]Zhou, Z., Tan, B., Li, S.: Two self-adaptive inertial projection algorithms for solving split variational inclusion problems.*AIMS Math.***7**, 4960--4973 (2022)Zheng Zhou,

**Bing Tan**, Sun Young Cho*. Alternated inertial subgradient extragradient methods for solving variational inequalities.*Journal of Nonlinear and Convex Analysis*. 2022, 23(11), 2593–2604. (SCI, MathSciNet) [PDF] [Link] [Cite]Zhou, Z., Tan, B., Cho, S.Y.: Alternated inertial subgradient extragradient methods for solving variational inequalities.*J. Nonlinear Convex Anal.***23**, 2593--2604 (2022)Jingjing Fan, Xiaolong Qin*,

**Bing Tan**. Tseng's extragradient algorithm for pseudomonotone variational inequalities on Hadamard manifolds.*Applicable Analysis*. 2022, 101(6), 2372–2385. (SCI, MathSciNet) [PDF] [Link] [Cite]Fan, J., Qin, X., Tan, B.: Tseng's extragradient algorithm for pseudomonotone variational inequalities on Hadamard manifolds.*Appl. Anal.***101**, 2372--2385 (2022)

## 2021

**Bing Tan**, Xiaolong Qin*, Jen-Chih Yao. Strong convergence of self-adaptive inertial algorithms for solving split variational inclusion problems with applications.*Journal of Scientific Computing*. 2021, 87(1), Article ID 20. (SCI, EI, MathSciNet)**(**[PDF] [Link] [Cite]*ESI Highly Cited Paper*)Tan, B., Qin, X., Yao, J.-C.: Strong convergence of self-adaptive inertial algorithms for solving split variational inclusion problems with applications.*J. Sci. Comput.***87**, Article ID 20 (2021)**Bing Tan**, Xiaolong Qin*, Jen-Chih Yao. Two modified inertial projection algorithms for bilevel pseudomonotone variational inequalities with applications to optimal control problems.*Numerical Algorithms*. 2021, 88(4), 1757–1786. (SCI, MathSciNet) [PDF] [Link] [Cite]Tan, B., Qin, X., Yao, J.-C.: Two modified inertial projection algorithms for bilevel pseudomonotone variational inequalities with applications to optimal control problems.*Numer. Algorithms***88**, 1757--1786 (2021)**Bing Tan**, Liya Liu, Xiaolong Qin*. Self adaptive inertial extragradient algorithms for solving bilevel pseudomonotone variational inequality problems.*Japan Journal of Industrial and Applied Mathematics*. 2021, 38(2), 519–543. (SCI, EI, MathSciNet)**(**[PDF] [Link] [Cite])*ESI Highly Cited Paper*Tan, B., Liu, L., Qin, X.: Self adaptive inertial extragradient algorithms for solving bilevel pseudomonotone variational inequality problems.*Jpn. J. Ind. Appl. Math.***38**, 519--543 (2021)**Bing Tan**, Jingjing Fan, Xiaolong Qin*. Inertial extragradient algorithms with non-monotonic step sizes for solving variational inequalities and fixed point problems.*Advances in Operator Theory*. 2021, 6(4), Article ID 61. (ESCI, MathSciNet) [PDF] [Link] [Cite]Tan, B., Fan, J., Qin, X.: Inertial extragradient algorithms with non-monotonic step sizes for solving variational inequalities and fixed point problems.*Adv. Oper. Theory***6**, Article ID 61 (2021)**Bing Tan**, Songxiao Li*, Xiaolong Qin. Self-adaptive inertial single projection methods for variational inequalities involving non-Lipschitz and Lipschitz operators with their applications to optimal control problems.*Applied Numerical Mathematics*. 2021, 170, 219–241. (SCI, EI, MathSciNet) [PDF] [Link] [Cite]Tan, B., Li, S., Qin, X.: Self-adaptive inertial single projection methods for variational inequalities involving non-Lipschitz and Lipschitz operators with their applications to optimal control problems.*Appl. Numer. Math.***170**, 219--241 (2021)**Bing Tan**, Songxiao Li*, Xiaolong Qin. An accelerated extragradient algorithm for bilevel pseudomonotone variational inequality problems with application to optimal control problems.*Revista de la Real Academia de Ciencias Exactas, Físicas y Naturales. Serie A. Matemáticas*. 2021, 115(4), Article ID 174. (SCI, EI, MathSciNet) [PDF] [Link] [Cite]Tan, B., Li, S., Qin, X.: An accelerated extragradient algorithm for bilevel pseudomonotone variational inequality problems with application to optimal control problems.*Rev. R. Acad. Cienc. Exactas F{\' i}s. Nat. Ser. A Mat. RACSAM***115**, Article ID 174 (2021)**Bing Tan**, Songxiao Li*, Xiaolong Qin. On modified subgradient extragradient methods for pseudomonotone variational inequality problems with applications.*Computational and Applied Mathematics*. 2021, 40(7), Article ID 253. (SCI, EI, MathSciNet) [PDF] [Link] [Cite]Tan, B., Li, S., Qin, X.: On modified subgradient extragradient methods for pseudomonotone variational inequality problems with applications.*Comput. Appl. Math.***40**, Article ID 253 (2021)**Bing Tan**, Jingjing Fan, Songxiao Li*. Self-adaptive inertial extragradient algorithms for solving variational inequality problems.*Computational and Applied Mathematics*. 2021, 40(1), Article ID 19. (SCI, EI, MathSciNet)**(**[PDF] [Link] [Cite])*ESI Highly Cited Paper*Tan, B., Fan, J., Li, S.: Self-adaptive inertial extragradient algorithms for solving variational inequality problems.*Comput. Appl. Math.***40**, Article ID 19 (2021)**Bing Tan**, Sun Young Cho*. Self-adaptive inertial shrinking projection algorithms for solving pseudomonotone variational inequalities.*Journal of Nonlinear and Convex Analysis*. 2021, 22(3), 613–627. (SCI, MathSciNet) [PDF] [Link] [Cite]Tan, B., Cho, S.Y.: Self-adaptive inertial shrinking projection algorithms for solving pseudomonotone variational inequalities.*J. Nonlinear Convex Anal.***22**, 613--627 (2021)**Bing Tan**, Sun Young Cho*. Inertial extragradient methods for solving pseudomonotone variational inequalities with non-Lipschitz mappings and their optimization applications.*Applied Set-Valued Analysis and Optimization*. 2021, 3(2), 165–192. (EI) [PDF] [Link] [Cite]Tan, B., Cho, S.Y.: Inertial extragradient methods for solving pseudomonotone variational inequalities with non-Lipschitz mappings and their optimization applications.*Appl. Set-Valued Anal. Optim.***3**, 165--192 (2021)Liya Liu,

**Bing Tan**, Abdul Latif*. Approximation of fixed points for a semigroup of Bregman quasi-nonexpansive mappings in Banach spaces.*Journal of Nonlinear and Variational Analysis*. 2021, 5(1), 9–22. (SCI, EI) [PDF] [Link] [Cite]Liu, L., Tan, B., Latif, A.: Approximation of fixed points for a semigroup of Bregman quasi-nonexpansive mappings in Banach spaces.*J. Nonlinear Var. Anal.***5**, 9--22 (2021)Zheng Zhou*,

**Bing Tan**, Songxiao Li. An accelerated hybrid projection method with a self-adaptive step-size sequence for solving split common fixed point problems.*Mathematical Methods in the Applied Sciences*. 2021, 44(8), 7294–7303. (SCI, EI, MathSciNet)**(**[PDF] [Link] [Cite])*ESI Highly Cited Paper*Zhou, Z., Tan, B., Li, S.: An accelerated hybrid projection method with a self-adaptive step-size sequence for solving split common fixed point problems.*Math. Methods Appl. Sci.***44**, 7294--7303 (2021)Jingjing Fan*,

**Bing Tan**, Songxiao Li. An explicit extragradient algorithm for equilibrium problems on Hadamard manifolds.*Computational and Applied Mathematics*. 2021, 40(2), Article ID 68. (SCI, EI, MathSciNet) [PDF] [Link] [Cite]Fan, J., Tan, B., Li, S.: An explicit extragradient algorithm for equilibrium problems on Hadamard manifolds.*Comput. Appl. Math.***40**, Article ID 68 (2021)Jingjing Fan, Xiaolong Qin*,

**Bing Tan**. Convergence of an inertial shadow Douglas-Rachford splitting algorithm for monotone inclusions.*Numerical Functional Analysis and Optimization*. 2021, 42(14), 1627–1644. (SCI, EI, MathSciNet) [PDF] [Link] [Cite]Fan, J., Qin, X., Tan, B.: Convergence of an inertial shadow Douglas-Rachford splitting algorithm for monotone inclusions.*Numer. Funct. Anal. Optim.***42**, 1627--1644 (2021)

## 2020

**Bing Tan**, Zheng Zhou, Xiaolong Qin*. Accelerated projection-based forward-backward splitting algorithms for monotone inclusion problems.*Journal of Applied Analysis and Computation*. 2020, 10(5), 2184–2197. (SCI, MathSciNet) [PDF] [Link] [Cite]Tan, B., Zhou, Z., Qin, X.: Accelerated projection-based forward-backward splitting algorithms for monotone inclusion problems.*J. Appl. Anal. Comput.***10**, 2184--2197 (2020)**Bing Tan**, Shanshan Xu, Songxiao Li*. Inertial shrinking projection algorithms for solving hierarchical variational inequality problems.*Journal of Nonlinear and Convex Analysis*. 2020, 21(4), 871–884. (SCI, MathSciNet)**(**[PDF] [Link] [Cite])*ESI Highly Cited Paper*Tan, B., Xu, S., Li, S.: Inertial shrinking projection algorithms for solving hierarchical variational inequality problems.*J. Nonlinear Convex Anal.***21**, 871--884 (2020)**Bing Tan**, Shanshan Xu, Songxiao Li*. Inertial hybrid and shrinking projection algorithms for solving variational inequality problems.*Journal of Nonlinear and Convex Analysis*. 2020, 21(10), 2193–2206. (SCI, MathSciNet) [PDF] [Link] [Cite]Tan, B., Xu, S., Li, S.: Inertial hybrid and shrinking projection algorithms for solving variational inequality problems.*J. Nonlinear Convex Anal.***21**, 2193--2206 (2020)**Bing Tan**, Shanshan Xu, Songxiao Li*. Modified inertial hybrid and shrinking projection algorithms for solving fixed point problems.*Mathematics*. 2020, 8(2), Article ID 236. (SCI) [PDF] [Link] [Cite]Tan, B., Xu, S., Li, S.: Modified inertial hybrid and shrinking projection algorithms for solving fixed point problems.*Mathematics***8**, Article ID 236 (2020)**Bing Tan**, Zheng Zhou, Songxiao Li*. Strong convergence of modified inertial Mann algorithms for nonexpansive mappings.*Mathematics*. 2020, 8(4), Article ID 462. (SCI) [PDF] [Link] [Cite]Tan, B., Zhou, Z., Li, S.: Strong convergence of modified inertial Mann algorithms for nonexpansive mappings.*Mathematics***8**, Article ID 462 (2020)**Bing Tan***, Songxiao Li. Strong convergence of inertial Mann algorithms for solving hierarchical fixed point problems.*Journal of Nonlinear and Variational Analysis*. 2020, 4(3), 337–355. (SCI, EI) [PDF] [Link] [Cite]Tan, B., Li, S.: Strong convergence of inertial Mann algorithms for solving hierarchical fixed point problems.*J. Nonlinear Var. Anal.***4**, 337--355 (2020)**Bing Tan***, Shanshan Xu. Strong convergence of two inertial projection algorithms in Hilbert spaces.*Journal of Applied and Numerical Optimization*. 2020, 2(2), 171–186. (EI) [PDF] [Link] [Cite]Tan, B., Xu, S.: Strong convergence of two inertial projection algorithms in Hilbert spaces.*J. Appl. Numer. Optim.***2**, 171--186 (2020)**Bing Tan**, Sun Young Cho*. An inertial Mann-like algorithm for fixed points of nonexpansive mappings in Hilbert spaces.*Journal of Applied and Numerical Optimization*. 2020, 2(3), 335–351. (EI) [PDF] [Link] [Cite]Tan, B., Cho, S.Y.: An inertial Mann-like algorithm for fixed points of nonexpansive mappings in Hilbert spaces.*J. Appl. Numer. Optim.***2**, 335--351 (2020)Liya Liu,

**Bing Tan**, Sun Young Cho*. On the resolution of variational inequality problems with a double-hierarchical structure.*Journal of Nonlinear and Convex Analysis*. 2020, 21(2), 377–386. (SCI, MathSciNet)**(**[PDF] [Link] [Cite]*ESI Highly Cited Paper*)Liu, L., Tan, B., Cho, S.Y.: On the resolution of variational inequality problems with a double-hierarchical structure.*J. Nonlinear Convex Anal.***21**, 377--386 (2020)Zheng Zhou*,

**Bing Tan**, Songxiao Li. A new accelerated self-adaptive stepsize algorithm with excellent stability for split common fixed point problems.*Computational and Applied Mathematics*. 2020, 39(3), Article ID 220. (SCI, EI, MathSciNet) [PDF] [Link] [Cite]Zhou, Z., Tan, B., Li, S.: A new accelerated self-adaptive stepsize algorithm with excellent stability for split common fixed point problems.*Comput. Appl. Math.***39**, Article ID 220 (2020)Zheng Zhou*,

**Bing Tan**, Songxiao Li. An inertial shrinking projection algorithm for split common fixed point problems.*Journal of Applied Analysis and Computation*. 2020, 10(5), 2104–2120. (SCI, MathSciNet) [PDF] [Link] [Cite]Zhou, Z., Tan, B., Li, S.: An inertial shrinking projection algorithm for split common fixed point problems.*J. Appl. Anal. Comput.***10**, 2104--2120 (2020)Yinglin Luo, Meijuan Shang*,

**Bing Tan**. A general inertial viscosity type method for nonexpansive mappings and its applications in signal processing.*Mathematics*. 2020, 8(2), Article ID 288. (SCI) [PDF] [Link] [Cite]Luo, Y., Shang, M., Tan, B.: A general inertial viscosity type method for nonexpansive mappings and its applications in signal processing.*Mathematics***8**, Article ID 288 (2020)

## Visitor Stats.