Ming Tian

465 total citations
39 papers, 338 citations indexed

About

Ming Tian is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Computational Mechanics. According to data from OpenAlex, Ming Tian has authored 39 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computational Theory and Mathematics, 28 papers in Numerical Analysis and 9 papers in Computational Mechanics. Recurrent topics in Ming Tian's work include Optimization and Variational Analysis (31 papers), Advanced Optimization Algorithms Research (28 papers) and Sparse and Compressive Sensing Techniques (9 papers). Ming Tian is often cited by papers focused on Optimization and Variational Analysis (31 papers), Advanced Optimization Algorithms Research (28 papers) and Sparse and Compressive Sensing Techniques (9 papers). Ming Tian collaborates with scholars based in China, Spain and Japan. Ming Tian's co-authors include Bingnan Jiang, Xin Jin, Bin Yu, Neng Wan, Lei Liu, Yang Xu, Yuda Zhao, Dong Pu, Wenjing Jie and Yu Kang and has published in prestigious journals such as ACS Applied Materials & Interfaces, Nanoscale and Hydrometallurgy.

In The Last Decade

Ming Tian

36 papers receiving 323 citations

Peers

Ming Tian

CTM

EEE

Nikolai V. Ivanov Russia

Azzurra Pulimeno Italy

M.L. Edwards United States

Taleana Huff Canada

J.M. Rollett United Kingdom

N. Aruna Kumari India

Charles Proteus Steinmetz United States

Carles Puente Baliarda Spain

Kushal Das Australia

M. Syrzycki Canada

Nikolai V. Ivanov Russia

Ming Tian

73 ×0.3

CTM

0 ×0.0

401 ×3.3

9 ×0.2

EEE

355 ×8.7

Citations per year, relative to Ming Tian Ming Tian (= 1×) peers Nikolai V. Ivanov

Countries citing papers authored by Ming Tian

Since Specialization

Citations

This map shows the geographic impact of Ming Tian's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ming Tian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Tian more than expected).

Fields of papers citing papers by Ming Tian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming Tian. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ming Tian. The network helps show where Ming Tian may publish in the future.

Co-authorship network of co-authors of Ming Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Tian. A scholar is included among the top collaborators of Ming Tian based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ming Tian. Ming Tian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Chen, Haohan, Yu Kang, Dong Pu, et al.. (2023). Introduction of defects in hexagonal boron nitride for vacancy-based 2D memristors. Nanoscale. 15(9). 4309–4316. 34 indexed citations

Tian, Ming & Gang Xu. (2021). Inertial modified projection algorithm with self-adaptive technique for solving pseudo-monotone variational inequality problems in Hilbert spaces. Optimization. 71(13). 3965–3980. 1 indexed citations

Tian, Ming, et al.. (2020). Inertial modified Tseng’s extragradient algorithms for solving monotone variational inequalities and fixed point problems. Journal of Nonlinear Functional Analysis. 2020(1). 13 indexed citations

Tian, Ming, et al.. (2020). Strong convergence of the Tseng extragradient method for solving variational inequalities. 2(1). 4 indexed citations

Tian, Ming, et al.. (2019). A self-adaptive Armijo-like step size method for solving monotone variational inequality problems in Hilbert spaces. Journal of Nonlinear Functional Analysis. 2019(1). 4 indexed citations

Tian, Ming. (2019). Research on Polar-region Coarse Alignment Algorithm Based on Grid System. IOP Conference Series Materials Science and Engineering. 688(3). 33033–33033. 1 indexed citations

Tian, Ming, et al.. (2017). The regularized CQ algorithm without a priori knowledge of operator norm for solving the split feasibility problem. Journal of Inequalities and Applications. 2017(1). 207–207. 6 indexed citations

Tian, Ming & Bingnan Jiang. (2017). Weak convergence theorem for a class of split variational inequality problems and applications in a Hilbert space. Journal of Inequalities and Applications. 2017(1). 123–123. 30 indexed citations

Tian, Ming, et al.. (2017). Regularized gradient-projection methods for finding the minimum-norm solution of the constrained convex minimization problem. Journal of Inequalities and Applications. 2017(1). 13–13. 5 indexed citations

10.

Tian, Ming & Bingnan Jiang. (2017). Weak convergence theorem for zero points of inverse strongly monotone mapping and fixed points of nonexpansive mapping in Hilbert space. Optimization. 66(10). 1689–1698. 9 indexed citations

11.

Tian, Ming, et al.. (2013). Regularized gradient-projection methods for equilibrium and constrained convex minimization problems. Journal of Inequalities and Applications. 2013(1). 1 indexed citations

12.

Tian, Ming, et al.. (2013). Iterative methods for constrained convex minimization problem in Hilbert spaces. Fixed Point Theory and Applications. 2013(1). 8 indexed citations

13.

Tian, Ming & Xin Jin. (2012). A GENERAL MODIFIED MANN'S ALGORITHM FOR $k$-STRICTLY PSEUDO CONTRACTIONS IN HILBERT SPACE. Journal of applied mathematics & informatics. 30. 613–622. 1 indexed citations

14.

Xing, Yan, Miguel A. Gosálvez, K. Satō, Ming Tian, & Hong Yi. (2012). Evolutionary determination of kinetic Monte Carlo rates for the simulation of evolving surfaces in anisotropic etching of silicon. Journal of Micromechanics and Microengineering. 22(8). 85020–85020. 16 indexed citations

15.

Tian, Ming & Lei Liu. (2012). Iterative algorithms based on the viscosity approximation method for equilibrium and constrained convex minimization problem. Fixed Point Theory and Applications. 2012(1). 6 indexed citations

16.

Tian, Ming, et al.. (2011). A GENERAL ITERATIVE METHOD BASED ON THE HYBRID STEEPEST DESCENT SCHEME FOR VARIATIONAL INCLUSIONS, EQUILIBRIUM PROBLEMS. Journal of applied mathematics & informatics. 29. 603–619. 1 indexed citations

17.

Tian, Ming & Xin Jin. (2011). Strong convergent result for quasi-nonexpansive mappings in Hilbert spaces. Fixed Point Theory and Applications. 2011(1). 5 indexed citations

18.

Tian, Ming. (2011). An Application of Hybrid Steepest Descent Methods for Equilibrium Problems and Strict Pseudocontractions in Hilbert Spaces. Journal of Inequalities and Applications. 2011(1). 173430–173430. 3 indexed citations

19.

Xing, Yan, Miguel A. Gosálvez, Ming Tian, & K. Satō. (2011). A genetic algorithm based Kinetic Monte Carlo simulation for the evolution of complex surface in anisotropic wet etching. 20. 374–377. 1 indexed citations

20.

Cheng, Yun & Ming Tian. (2008). Strong Convergence Theorem by Monotone Hybrid Algorithm for Equilibrium Problems, Hemirelatively Nonexpansive Mappings, and Maximal Monotone Operators. Fixed Point Theory and Applications. 2008(1). 5 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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