Chen Zhong

420 total citations
28 papers, 313 citations indexed

About

Chen Zhong is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Artificial Intelligence. According to data from OpenAlex, Chen Zhong has authored 28 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computational Theory and Mathematics, 8 papers in Numerical Analysis and 8 papers in Artificial Intelligence. Recurrent topics in Chen Zhong's work include Optimization and Variational Analysis (5 papers), Advanced Optimization Algorithms Research (5 papers) and Fractional Differential Equations Solutions (4 papers). Chen Zhong is often cited by papers focused on Optimization and Variational Analysis (5 papers), Advanced Optimization Algorithms Research (5 papers) and Fractional Differential Equations Solutions (4 papers). Chen Zhong collaborates with scholars based in China, South Korea and United States. Chen Zhong's co-authors include Zhongping Wan, Yulan Wang, Temuer Chaolu, Yibing Lv, Yue Zheng, Tao Zhang, Xuning Guo, Lei Xiao, Shihua Chen and Wen Sun and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and Energy.

In The Last Decade

Chen Zhong

22 papers receiving 288 citations

Peers

Chen Zhong
Chen Zhong
Citations per year, relative to Chen Zhong Chen Zhong (= 1×) peers Jiang Weisun

Countries citing papers authored by Chen Zhong

Since Specialization
Citations

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

Fields of papers citing papers by Chen Zhong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chen Zhong

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

All Works

20 of 20 papers shown
1.
Zhong, Chen, et al.. (2026). Federated self-Expanding neural network learning framework for heterogeneous devices. Expert Systems with Applications. 311. 131199–131199.
2.
Zhong, Chen, et al.. (2025). Flexible and Efficient Multi-Authorization Data Sharing Scheme With Enhanced Privacy Protection. International Journal of Intelligent Information Technologies. 21(1). 1–27. 2 indexed citations
5.
Wang, Cailing, Chen Zhong, & Guo‐Ping Jiang. (2022). Learning speed equalization network for few-shot learning. Journal of Electronic Imaging. 31(1).
6.
7.
Zhong, Chen, et al.. (2019). A new reproducing kernel method with higher convergence order for solving a Volterra–Fredholm integral equation. Applied Mathematics Letters. 102. 106117–106117. 19 indexed citations
9.
Zhong, Chen. (2012). Optimazation study on ultra-short term wind speed forecasting of wind farms based on BP neural network and genetic algorithm. Renewable Energy Resources. 2 indexed citations
10.
Sun, Wen, et al.. (2011). Impulsive synchronization of a general nonlinear coupled complex network. Communications in Nonlinear Science and Numerical Simulation. 16(11). 4501–4507. 28 indexed citations
11.
Zhong, Chen & Xian‐Da Zhang. (2011). Power and Time Allocation Between Multiple Channels in Cognitive Radio Networks. Wireless Personal Communications. 64(4). 783–794. 3 indexed citations
12.
Lv, Yibing, Chen Zhong, & Zhongping Wan. (2010). A neural network for solving a convex quadratic bilevel programming problem. Journal of Computational and Applied Mathematics. 234(2). 505–511. 30 indexed citations
13.
Zhong, Chen. (2010). Parallel Iterative Methods for Nonlinear Programming Problems. Advanced materials research. 159. 105–110. 1 indexed citations
14.
Zhong, Chen & Guangmin Wang. (2009). A PENALTY FUNCTION METHOD FOR SOLVING NONLINEAR-LINEAR BILEVEL PROGRAMMING PROBLEM. Xitong kexue yu shuxue.
15.
Lv, Yibing, Chen Zhong, & Zhongping Wan. (2009). A penalty function method based on bilevel programming for solving inverse optimal value problems. Applied Mathematics Letters. 23(2). 170–175. 11 indexed citations
16.
Zhong, Chen, et al.. (2005). Blind source separation of multichannel electroencephalogram based on wavelet transform and ICA. Chinese Physics. 14(11). 2176–2180. 20 indexed citations
17.
Zhong, Chen, et al.. (2004). Study on phase-space reconstruction of chaotic signal based on wavelet transform. Acta Physica Sinica. 53(9). 2882–2882. 11 indexed citations
18.
Cui, Minggen & Chen Zhong. (2003). How to solve nonlinear operator equation A(v2)+Cv=f. Applied Mathematics and Computation. 153(2). 403–416. 4 indexed citations
19.
Jiang, Zhu, Chen Zhong, & Y. J. Cho. (2000). Generalized Variational Principle and Vector Optimization. Journal of Optimization Theory and Applications. 106(1). 201–217. 16 indexed citations
20.
Zhong, Chen, et al.. (1995). A parallel algorithm for constrained optimization problems. Journal of Computational and Applied Mathematics. 61(2). 225–230. 1 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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