Zhen-Jun Shi

504 total citations
26 papers, 377 citations indexed

About

Zhen-Jun Shi is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Zhen-Jun Shi has authored 26 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Numerical Analysis, 16 papers in Computational Theory and Mathematics and 5 papers in Artificial Intelligence. Recurrent topics in Zhen-Jun Shi's work include Advanced Optimization Algorithms Research (24 papers), Iterative Methods for Nonlinear Equations (14 papers) and Matrix Theory and Algorithms (9 papers). Zhen-Jun Shi is often cited by papers focused on Advanced Optimization Algorithms Research (24 papers), Iterative Methods for Nonlinear Equations (14 papers) and Matrix Theory and Algorithms (9 papers). Zhen-Jun Shi collaborates with scholars based in China, United States and Russia. Zhen-Jun Shi's co-authors include Jie Shen, Jinhua Guo, Shengquan Wang, Zhiwei Xu, Jian-Jia Chen, Lothar Thiele, Peter W. Chung, Changyu Wang, Chengyun Gao and Min Sun and has published in prestigious journals such as European Journal of Operational Research, Journal of Mathematical Analysis and Applications and Applied Mathematics and Computation.

In The Last Decade

Zhen-Jun Shi

25 papers receiving 348 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Zhen-Jun Shi China	12	276	175	98	81	48	26	377
Ubaldo M. García‐Palomares Venezuela	8	167 0.6×	156 0.9×	25 0.3×	48 0.6×	50 1.0×	30	263
Ioannis Akrotirianakis United States	7	150 0.5×	123 0.7×	30 0.3×	60 0.7×	148 3.1×	11	329
Victor Gergel Russia	9	122 0.4×	126 0.7×	18 0.2×	68 0.8×	54 1.1×	28	222
Jean-Pierre A. Haeberly United States	5	391 1.4×	374 2.1×	173 1.8×	38 0.5×	74 1.5×	6	528
Annick Sartenaer Belgium	11	365 1.3×	275 1.6×	186 1.9×	120 1.5×	80 1.7×	15	513
Detong Zhu China	12	293 1.1×	213 1.2×	76 0.8×	98 1.2×	106 2.2×	84	450
Mahmoud El-Alem Egypt	10	242 0.9×	213 1.2×	81 0.8×	57 0.7×	96 2.0×	24	358
Paul Tseng United States	8	127 0.5×	125 0.7×	124 1.3×	122 1.5×	43 0.9×	8	309
Wah June Leong Malaysia	10	243 0.9×	155 0.9×	123 1.3×	46 0.6×	17 0.4×	35	357
Adrien Taylor France	10	161 0.6×	84 0.5×	194 2.0×	158 2.0×	37 0.8×	23	329

Countries citing papers authored by Zhen-Jun Shi

Since Specialization

Citations

This map shows the geographic impact of Zhen-Jun Shi'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 Zhen-Jun Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhen-Jun Shi more than expected).

Fields of papers citing papers by Zhen-Jun Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhen-Jun Shi. 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 Zhen-Jun Shi. The network helps show where Zhen-Jun Shi may publish in the future.

Co-authorship network of co-authors of Zhen-Jun Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Zhen-Jun Shi. A scholar is included among the top collaborators of Zhen-Jun Shi 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 Zhen-Jun Shi. Zhen-Jun Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Shi, Zhen-Jun, et al.. (2017). A Hessian-free Newton–Raphson method for the configuration of physics systems featured by numerically asymmetric force field. Mathematics and Computers in Simulation. 140. 1–23. 5 indexed citations

Shi, Zhen-Jun & Shengquan Wang. (2010). Modified nonmonotone Armijo line search for descent method. Numerical Algorithms. 57(1). 1–25. 12 indexed citations

Shi, Zhen-Jun & Shengquan Wang. (2010). Nonmonotone adaptive trust region method. European Journal of Operational Research. 208(1). 28–36. 19 indexed citations

Shi, Zhen-Jun & Zhiwei Xu. (2009). The convergence of subspace trust region methods. Journal of Computational and Applied Mathematics. 231(1). 365–377. 9 indexed citations

Shi, Zhen-Jun & Jinhua Guo. (2008). A new family of conjugate gradient methods. Journal of Computational and Applied Mathematics. 224(1). 444–457. 31 indexed citations

Shi, Zhen-Jun, et al.. (2008). A new algorithm of nonlinear conjugate gradient method with strong convergence. Computational and Applied Mathematics. 27(1). 5 indexed citations

Shi, Zhen-Jun. (2007). A Class of Global Convergent Memory Gradient Methods and Its Linear Convergence Rate. Advances in Mathematics. 2 indexed citations

Shi, Zhen-Jun & Jie Shen. (2007). Memory gradient method with Goldstein line search. Computers & Mathematics with Applications. 53(1). 28–40. 4 indexed citations

Shi, Zhen-Jun & Jinhua Guo. (2007). A new trust region method for unconstrained optimization. Journal of Computational and Applied Mathematics. 213(2). 509–520. 39 indexed citations

10.

Shi, Zhen-Jun & Jie Shen. (2007). Convergence of supermemory gradient method. Journal of Applied Mathematics and Computing. 24(1-2). 367–376. 3 indexed citations

11.

Shi, Zhen-Jun. (2006). A New Super-memory Gradient Method for Unconstrained Optimization. Advances in Mathematics. 1 indexed citations

12.

Sun, Min & Zhen-Jun Shi. (2006). NON-INTERIOR CONTINUATION METHOD FOR COMPLEMENTARITY PROBLEMS IN ABSENCE OF STRICT COMPLEMENTARITY. Asia Pacific Journal of Operational Research. 23(1). 107–122. 2 indexed citations

13.

Shi, Zhen-Jun, et al.. (2005). Step-size estimation for unconstrained optimization methods. Computational and Applied Mathematics. 24(3). 2 indexed citations

14.

Shi, Zhen-Jun. (2005). Convergence of quasi-Newton method with new inexact line search. Journal of Mathematical Analysis and Applications. 315(1). 120–131. 18 indexed citations

15.

Shi, Zhen-Jun & Jie Shen. (2005). Convergence of nonmonotone line search method. Journal of Computational and Applied Mathematics. 193(2). 397–412. 30 indexed citations

16.

Shi, Zhen-Jun & Jie Shen. (2005). On step-size estimation of line search methods. Applied Mathematics and Computation. 173(1). 360–371. 1 indexed citations

17.

Shi, Zhen-Jun & Jie Shen. (2005). A new super-memory gradient method with curve search rule. Applied Mathematics and Computation. 170(1). 1–16. 15 indexed citations

18.

Shi, Zhen-Jun & Jie Shen. (2004). A new descent algorithm with curve search rule. Applied Mathematics and Computation. 161(3). 753–768. 8 indexed citations

19.

Shi, Zhen-Jun & Jie Shen. (2004). A gradient-related algorithm with inexact line searches. Journal of Computational and Applied Mathematics. 170(2). 349–370. 10 indexed citations

20.

Shi, Zhen-Jun. (2003). Convergence of line search methods for unconstrained optimization. Applied Mathematics and Computation. 157(2). 393–405. 69 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.

Explore authors with similar magnitude of impact