Xuming Wang

2.8k total citations · 1 hit paper
86 papers, 973 citations indexed

About

Xuming Wang is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Xuming Wang has authored 86 papers receiving a total of 973 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Statistical and Nonlinear Physics, 14 papers in Artificial Intelligence and 11 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Xuming Wang's work include Metaheuristic Optimization Algorithms Research (8 papers), Evolutionary Algorithms and Applications (7 papers) and Advanced Multi-Objective Optimization Algorithms (7 papers). Xuming Wang is often cited by papers focused on Metaheuristic Optimization Algorithms Research (8 papers), Evolutionary Algorithms and Applications (7 papers) and Advanced Multi-Objective Optimization Algorithms (7 papers). Xuming Wang collaborates with scholars based in China, United States and Taiwan. Xuming Wang's co-authors include Xiaobing Yu, Mingyuan Li, Guoguang Mu, Zhaoqi Wang, Le Cai, Allison Rabkin Golden, Zhenggang Bi, Yuhui He, Jie Zhao and Depeng Zuo and has published in prestigious journals such as Management Science, Journal of Hazardous Materials and Scientific Reports.

In The Last Decade

Xuming Wang

77 papers receiving 931 citations

Hit Papers

A hybrid algorithm based on grey wolf optimizer and diffe... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xuming Wang China 17 173 153 117 114 84 86 973
Xiaodong Zhou China 19 154 0.9× 110 0.7× 26 0.2× 184 1.6× 85 1.0× 108 1.2k
Robert Matthews United States 24 122 0.7× 95 0.6× 210 1.8× 112 1.0× 118 1.4× 57 1.9k
Qi Li China 22 263 1.5× 246 1.6× 47 0.4× 24 0.2× 160 1.9× 127 1.7k
Yijun Zhao United States 16 52 0.3× 93 0.6× 89 0.8× 35 0.3× 24 0.3× 66 972
Ji Wu China 21 184 1.1× 859 5.6× 77 0.7× 41 0.4× 152 1.8× 130 2.0k
John P. Nolan United States 22 110 0.6× 213 1.4× 25 0.2× 55 0.5× 170 2.0× 61 1.8k
Yiren Chen China 20 45 0.3× 105 0.7× 183 1.6× 127 1.1× 130 1.5× 83 1.1k
Guangyi Wang China 21 158 0.9× 178 1.2× 64 0.5× 46 0.4× 430 5.1× 126 1.7k
Luning Sun China 12 65 0.4× 177 1.2× 107 0.9× 231 2.0× 88 1.0× 56 1.7k
Cristina Stoica France 16 75 0.4× 88 0.6× 24 0.2× 81 0.7× 36 0.4× 85 940

Countries citing papers authored by Xuming Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xuming Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuming Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xuming Wang. A scholar is included among the top collaborators of Xuming Wang 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 Xuming Wang. Xuming Wang 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.
Zhang, Pengjuan, et al.. (2025). Directed transport of two-coupled Brownian particles in a rough potential. Chaos Solitons & Fractals. 194. 116204–116204. 1 indexed citations
2.
Wang, Xuming, Jiaqi Zhou, & Xiaobing Yu. (2025). An optimized extreme learning machine composite framework for point, probabilistic, and quantile regression forecasting of carbon price. Process Safety and Environmental Protection. 195. 106772–106772. 2 indexed citations
3.
Wang, Xuming & Wen Zhang. (2025). Dynamic opposition learning-based rank-driven teaching learning optimizer for parameter extraction of photovoltaic models. Alexandria Engineering Journal. 117. 325–339. 2 indexed citations
4.
Yu, Xiaobing, et al.. (2025). Optimizing islanded microgrid scheduling with reinforcement learning enhanced multi-strategy cuckoo search algorithm. Applied Soft Computing. 186. 114251–114251.
5.
Yu, Xiaobing, et al.. (2025). A multi-stage multi-task evolutionary algorithm for constrained multi-objective optimization. Information Sciences. 721. 122559–122559. 1 indexed citations
6.
Zhang, Jiqiang, et al.. (2024). Emergence of anti-coordinated patterns in snowdrift game by reinforcement learning. Chaos Solitons & Fractals. 184. 114971–114971. 7 indexed citations
7.
Yu, Xiaobing, et al.. (2024). Reinforcement learning-based differential evolution algorithm for constrained multi-objective optimization problems. Engineering Applications of Artificial Intelligence. 131. 107817–107817. 14 indexed citations
8.
Yu, Xiaobing, et al.. (2023). Ranking teaching–learning-based optimization algorithm to estimate the parameters of solar models. Engineering Applications of Artificial Intelligence. 123. 106225–106225. 30 indexed citations
9.
Jia, Zhi, Pengfei Zhang, Huifang Wang, et al.. (2023). Thermal Deformation Characteristics and Dynamic Recrystallization Mechanism of Incoloy 800H Alloy under Different Deformations. Advanced Engineering Materials. 25(22). 1 indexed citations
10.
Yang, Qinghua, et al.. (2023). A cross-sectional study on the relationship between visceral adiposity index and periodontitis in different age groups. Scientific Reports. 13(1). 5839–5839. 3 indexed citations
11.
Li, Mingyuan, et al.. (2023). A modified whale optimization algorithm with multi-strategy mechanism for global optimization problems. Neural Computing and Applications. 37(27). 22339–22352. 17 indexed citations
12.
Wang, Xuming, et al.. (2022). First-principles study of strain effect on magnetic and optical properties in (Ga, Mo)Sb. Acta Physica Sinica. 71(9). 96103–96103.
13.
Lin, Xueling, et al.. (2021). The magnetic and optical properties of Zr doped GaSb: the first-principles calculation study. Japanese Journal of Applied Physics. 60(6). 63001–63001. 1 indexed citations
14.
15.
Wang, Xuming, et al.. (2019). Ethnic disparities in prevalence and patterns of smoking and nicotine dependence in rural southwest China: a cross-sectional study. BMJ Open. 9(9). e028770–e028770. 7 indexed citations
16.
Wang, Xuming, et al.. (2018). CuドープアナターゼTiO 2 の強磁性:第一原理計算研究. Japanese Journal of Applied Physics. 57(10). 1–103002. 1 indexed citations
17.
Liu, Haifeng, et al.. (2016). Simplified method for Euler buckling load of closely star-battened angle column about Y axis. Thin-Walled Structures. 107. 620–626. 5 indexed citations
18.
Wang, Xuming, Mingzhi Zheng, Jianping Jiang, et al.. (2016). Mechanism of uncoupling protein 2-mediated myocardial injury in hypothermic preserved rat hearts. Molecular Medicine Reports. 14(2). 1857–1864. 10 indexed citations
19.
Yan, Zhonghua, Wei Liu, Chuanchao Zhang, et al.. (2016). Quantitative correlation between facets defects of RDX crystals and their laser sensitivity. Journal of Hazardous Materials. 313. 103–111. 12 indexed citations
20.
Wang, Xuming, Xuan Huang, Zhengqi Fu, et al.. (2014). Biphasic ER-α36-mediated estrogen signaling regulates growth of gastric cancer cells. International Journal of Oncology. 45(6). 2325–2330. 12 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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