Chunfeng Wang

2.8k total citations
90 papers, 2.2k citations indexed

About

Chunfeng Wang is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Numerical Analysis. According to data from OpenAlex, Chunfeng Wang has authored 90 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computational Theory and Mathematics, 18 papers in Artificial Intelligence and 16 papers in Numerical Analysis. Recurrent topics in Chunfeng Wang's work include Metaheuristic Optimization Algorithms Research (15 papers), Advanced Optimization Algorithms Research (15 papers) and Optimization and Variational Analysis (12 papers). Chunfeng Wang is often cited by papers focused on Metaheuristic Optimization Algorithms Research (15 papers), Advanced Optimization Algorithms Research (15 papers) and Optimization and Variational Analysis (12 papers). Chunfeng Wang collaborates with scholars based in China, Taiwan and Poland. Chunfeng Wang's co-authors include Kelei Zhuo, Peiping Shen, Shouyu Yao, Dong Sun, Fang Zhen-ming, Yujuan Chen, Feiyang Cheng, Jianji Wang, Gary G. Yen and Chaoshin Chiao and has published in prestigious journals such as The Science of The Total Environment, Chemical Communications and Chemical Engineering Journal.

In The Last Decade

Chunfeng Wang

85 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chunfeng Wang China 29 538 381 315 294 278 90 2.2k
Min Dai China 27 394 0.7× 78 0.2× 323 1.0× 35 0.1× 624 2.2× 160 2.7k
Gintaras V. Reklaitis United States 38 255 0.5× 276 0.7× 391 1.2× 49 0.2× 132 0.5× 206 4.7k
Chun Su China 25 515 1.0× 23 0.1× 267 0.8× 35 0.1× 37 0.1× 142 2.4k
Mohammad Mahtab Alam Saudi Arabia 31 190 0.4× 47 0.1× 147 0.5× 33 0.1× 500 1.8× 242 3.2k
Gary Blau United States 26 555 1.0× 127 0.3× 67 0.2× 45 0.2× 90 0.3× 59 2.8k
Constantinos C. Pantelides United Kingdom 37 868 1.6× 994 2.6× 196 0.6× 607 2.1× 26 0.1× 93 5.6k
Weixuan Xu China 22 607 1.1× 82 0.2× 805 2.6× 11 0.0× 59 0.2× 39 2.0k
Venkat R. Subramanian United States 37 479 0.9× 60 0.2× 6.4k 20.4× 42 0.1× 263 0.9× 165 8.1k
Robin Smith United Kingdom 49 422 0.8× 436 1.1× 524 1.7× 57 0.2× 53 0.2× 197 7.5k
Kun Soo Chang South Korea 18 56 0.1× 130 0.3× 100 0.3× 22 0.1× 98 0.4× 107 1.3k

Countries citing papers authored by Chunfeng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chunfeng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chunfeng Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Chunfeng Wang. A scholar is included among the top collaborators of Chunfeng 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 Chunfeng Wang. Chunfeng 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.
Wang, Xionglei, Xuanbo Liu, Yuhang Zhang, et al.. (2025). Applied investigation of novel dual-anionic imidazolium-based organic polymers for CO2 conversion and iodine vapor adsorption. Chemical Engineering Journal. 507. 160676–160676. 10 indexed citations
3.
Liu, Xuanbo, Chunfeng Wang, Qing Li, et al.. (2025). Facile construction novel functionalized hyper-crosslinked porous crown-polymers for adsorbing iodine and strontium. Separation and Purification Technology. 372. 133445–133445.
4.
Wang, Chunfeng, et al.. (2025). Integrating cumulative binomial probability into artificial bee colony algorithm for global optimization in mechanical engineering design. Engineering Applications of Artificial Intelligence. 151. 110628–110628. 2 indexed citations
5.
Yun, Tao, Zhiwei Li, Xingyu Lu, et al.. (2024). Humanoid robot eyeballs driven by bubble artificial muscles. Sensors and Actuators A Physical. 378. 115744–115744.
6.
Wang, Chunfeng, et al.. (2024). Bankruptcy reform and breakthrough innovation: Evidence from the quasi-experiment in China. Finance research letters. 71. 106457–106457. 1 indexed citations
7.
Liu, Sanyang, et al.. (2024). Integrating a dimensional perturbation module into exponential distribution optimizer for solving optimization problems. Expert Systems with Applications. 255. 124865–124865. 2 indexed citations
8.
Wang, Ziwei, Chunfeng Wang, & Fang Zhen-ming. (2024). Learning from Failures of Co-owned Firms: Common Ownership and Information Disclosure Fraud. Journal of Business Ethics. 195(1). 95–119. 5 indexed citations
10.
Du, Quanzhou, Yuhua Zhao, Kelei Zhuo, et al.. (2021). 3D hierarchical porous carbon matching ionic liquid with ultrahigh specific surface area and appropriate porous distribution for supercapacitors. Nanoscale. 13(31). 13285–13293. 29 indexed citations
11.
Wang, Wanfeng, Jun Wang, Chunyou Zhu, et al.. (2018). Removal of multiple nitrosamines from aqueous solution by nanoscale zero-valent iron supported on granular activated carbon: Influencing factors and reaction mechanism. The Science of The Total Environment. 639. 934–943. 30 indexed citations
12.
Shen, Peiping & Chunfeng Wang. (2017). Linear decomposition approach for a class of nonconvex programming problems. Journal of Inequalities and Applications. 2017(1). 74–74. 19 indexed citations
13.
Shen, Peiping, Tongli Zhang, & Chunfeng Wang. (2017). Solving a class of generalized fractional programming problems using the feasibility of linear programs. Journal of Inequalities and Applications. 2017(1). 147–147. 20 indexed citations
14.
Wang, Chunfeng, Sanyang Liu, & Peiping Shen. (2011). Global minimization of a generalized linear multiplicative programming. Applied Mathematical Modelling. 36(6). 2446–2451. 35 indexed citations
15.
Liu, Lixia, Sanyang Liu, & Chunfeng Wang. (2011). Smoothing Newton methods for symmetric cone linear complementarity problem with the Cartesian $P$/$P_0$-property. Journal of Industrial and Management Optimization. 7(1). 53–66. 6 indexed citations
16.
Wang, Chunfeng, et al.. (2007). Empirical Research on Time-varying Betas and Conditional CAPM of Shenzhen Stock Market. Industrial Engineering and Engineering Management.
17.
Wang, Chunfeng. (2005). Research on common long memory between trading volume and volatility in Chinese stock market. Guanli kexue xuebao. 1 indexed citations
18.
Wang, Chunfeng, et al.. (2005). CLAIM HEDGING IN AN INCOMPLETE MARKET. 2 indexed citations
19.
Wang, Chunfeng. (2004). A Study on the Intraday Effect in Shanghai Stock Market. Journal of Beijing Institute of Technology. 2 indexed citations
20.
Wang, Chunfeng, et al.. (2004). Investigating on volatility of Chinese stock market by regime-switching ARCH model. Journal of systems engineering. 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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