Naimin Zhang

620 total citations
40 papers, 488 citations indexed

About

Naimin Zhang is a scholar working on Computational Theory and Mathematics, Atomic and Molecular Physics, and Optics and Numerical Analysis. According to data from OpenAlex, Naimin Zhang has authored 40 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computational Theory and Mathematics, 17 papers in Atomic and Molecular Physics, and Optics and 15 papers in Numerical Analysis. Recurrent topics in Naimin Zhang's work include Matrix Theory and Algorithms (28 papers), Electromagnetic Scattering and Analysis (17 papers) and Advanced Numerical Methods in Computational Mathematics (12 papers). Naimin Zhang is often cited by papers focused on Matrix Theory and Algorithms (28 papers), Electromagnetic Scattering and Analysis (17 papers) and Advanced Numerical Methods in Computational Mathematics (12 papers). Naimin Zhang collaborates with scholars based in China, Taiwan and Hong Kong. Naimin Zhang's co-authors include Yimin Wei, Pan Shen, Tzon‐Tzer Lu, Haifeng Ma, Jing Li, Lijing Lin, Guanghao Chen, Yang Zhao, Wei Xu and Michael K. Ng and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neural Computation and Neural Networks.

In The Last Decade

Naimin Zhang

35 papers receiving 472 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Naimin Zhang China	13	382	222	210	167	57	40	488
Igor Kaporin Russia	12	319 0.8×	159 0.7×	114 0.5×	214 1.3×	20 0.4×	35	460
Fatemeh Panjeh Ali Beik Iran	12	372 1.0×	152 0.7×	161 0.8×	144 0.9×	17 0.3×	47	460
Jun-Feng Yin China	10	569 1.5×	240 1.1×	401 1.9×	189 1.1×	15 0.3×	24	636
Jennifer Pestana United Kingdom	13	271 0.7×	143 0.6×	119 0.6×	229 1.4×	27 0.5×	35	507
F. Toutounian Iran	13	336 0.9×	104 0.5×	373 1.8×	85 0.5×	30 0.5×	61	607
Gunhild Lindskog Sweden	5	323 0.8×	137 0.6×	136 0.6×	213 1.3×	14 0.2×	11	423
Shao‐Liang Zhang Japan	9	180 0.5×	109 0.5×	105 0.5×	49 0.3×	39 0.7×	41	303
Ana Marco Spain	11	266 0.7×	54 0.2×	150 0.7×	131 0.8×	14 0.2×	26	352
Shu-Qian Shen China	10	202 0.5×	79 0.4×	104 0.5×	75 0.4×	30 0.5×	30	295
Ivan Slapničar Croatia	13	304 0.8×	90 0.4×	155 0.7×	38 0.2×	30 0.5×	36	447

Countries citing papers authored by Naimin Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Naimin Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Naimin Zhang. 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 Naimin Zhang. The network helps show where Naimin Zhang may publish in the future.

Co-authorship network of co-authors of Naimin Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Naimin Zhang. A scholar is included among the top collaborators of Naimin Zhang 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 Naimin Zhang. Naimin Zhang 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

Cai, Bin, et al.. (2025). A cooperative jamming decision-making method based on multi-agent reinforcement learning. SHILAP Revista de lepidopterología. 5(1).

Zhang, Naimin, et al.. (2024). A novel predefined-time neurodynamic approach for mixed variational inequality problems and applications. Neural Networks. 174. 106247–106247. 1 indexed citations

Zhang, Naimin, et al.. (2024). Two Block Splitting Iteration Methods for Solving Complex Symmetric Linear Systems from Complex Helmholtz Equation. Mathematics. 12(12). 1888–1888.

Liu, Jinlan, et al.. (2024). An Iterative Algorithm for Quaternion Eigenvalue Problems in Signal Processing. IEEE Signal Processing Letters. 31. 2505–2509. 2 indexed citations

Jiang, Wenhan, Jinlan Liu, Naimin Zhang, & Dongpo Xu. (2024). DMAdam: Dual averaging enhanced adaptive gradient method for deep neural networks. Knowledge-Based Systems. 309. 112886–112886.

Liang, Yuqing, Dongpo Xu, Naimin Zhang, & Danilo P. Mandic. (2023). Almost sure convergence of stochastic composite objective mirror descent for non-convex non-smooth optimization. Optimization Letters. 18(9). 2113–2131.

Zhang, Naimin, et al.. (2021). On the preconditioned conjugate gradient method for complex symmetric systems. Applied Mathematics Letters. 120. 107250–107250. 1 indexed citations

Zhang, Naimin, et al.. (2019). A note on the optimal parameters of USSOR method for solving linear least squares problems. Filomat. 33(17). 5441–5450.

Zhang, Xun & Naimin Zhang. (2018). A Study on the Convergence of Gradient Method with Momentum for Sigma-Pi-Sigma Neural Networks. Journal of Applied Mathematics and Physics. 6(4). 880–887. 2 indexed citations

10.

Li, Jing & Naimin Zhang. (2016). A triple-parameter modified SSOR method for solving singular saddle point problems. BIT Numerical Mathematics. 56(2). 501–521. 10 indexed citations

11.

Zhang, Naimin. (2015). On parameter acceleration methods for saddle point problems. Journal of Computational and Applied Mathematics. 288. 169–179. 3 indexed citations

12.

Zhang, Naimin, et al.. (2015). On the optimal parameters of GMSSOR method for saddle point problems. Applied Mathematics Letters. 55. 54–62. 3 indexed citations

13.

Zhang, Naimin, et al.. (2014). Optimal parameters of the generalized symmetric SOR method for augmented systems. Journal of Computational and Applied Mathematics. 266. 52–60. 24 indexed citations

14.

Zhang, Naimin, et al.. (2014). Semi-convergence analysis of GMSSOR methods for singular saddle point problems. Computers & Mathematics with Applications. 68(5). 596–605. 14 indexed citations

15.

Zhang, Naimin, Tzon‐Tzer Lu, & Yimin Wei. (2013). Semi-convergence analysis of Uzawa methods for singular saddle point problems. Journal of Computational and Applied Mathematics. 255. 334–345. 59 indexed citations

16.

Ma, Haifeng & Naimin Zhang. (2011). A note on block-diagonally preconditioned PIU methods for singular saddle point problems. International Journal of Computer Mathematics. 88(16). 3448–3457. 17 indexed citations

17.

Lin, Lijing, Yimin Wei, & Naimin Zhang. (2008). Convergence and quotient convergence of iterative methods for solving singular linear equations with index one. Linear Algebra and its Applications. 430(5-6). 1665–1674. 13 indexed citations

18.

Zhang, Naimin & Yimin Wei. (2004). Solving EP singular linear systems. International Journal of Computer Mathematics. 81(11). 1395–1405. 24 indexed citations

19.

Wei, Yimin & Naimin Zhang. (2003). Condition number related with generalized inverse AT,S(2) and constrained linear systems. Journal of Computational and Applied Mathematics. 157(1). 57–72. 17 indexed citations

20.

Wei, Yimin & Naimin Zhang. (2003). A note on the representation and approximation of the outer inverse AT,S(2) of a matrix A. Applied Mathematics and Computation. 147(3). 837–841. 10 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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