Feng-Feng Wei

529 total citations
23 papers, 311 citations indexed

About

Feng-Feng Wei is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Feng-Feng Wei has authored 23 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 10 papers in Computational Theory and Mathematics and 4 papers in Computer Networks and Communications. Recurrent topics in Feng-Feng Wei's work include Metaheuristic Optimization Algorithms Research (12 papers), Advanced Multi-Objective Optimization Algorithms (9 papers) and Evolutionary Algorithms and Applications (9 papers). Feng-Feng Wei is often cited by papers focused on Metaheuristic Optimization Algorithms Research (12 papers), Advanced Multi-Objective Optimization Algorithms (9 papers) and Evolutionary Algorithms and Applications (9 papers). Feng-Feng Wei collaborates with scholars based in China, South Korea and Hong Kong. Feng-Feng Wei's co-authors include Jun Zhang, Wei–Neng Chen, Jeremiah D. Deng, Hu Jin, Xiaonan Luo, Qiang Yang, Xiao-Min Hu, Zhi‐Hui Zhan, Ting Huang and Sang-Woon Jeon and has published in prestigious journals such as IEEE Transactions on Cybernetics, IEEE Transactions on Evolutionary Computation and IEEE Transactions on Systems Man and Cybernetics Systems.

In The Last Decade

Feng-Feng Wei

16 papers receiving 307 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feng-Feng Wei China 8 206 125 29 24 23 23 311
Raffaele Mascella Italy 8 206 1.0× 100 0.8× 32 1.1× 44 1.8× 36 1.6× 18 303
Abdelmonem M. Ibrahim Egypt 11 239 1.2× 126 1.0× 22 0.8× 35 1.5× 47 2.0× 15 348
Borhan Kazimipour Australia 8 380 1.8× 286 2.3× 27 0.9× 30 1.3× 22 1.0× 13 476
Christian L. Camacho‐Villalón Belgium 6 184 0.9× 107 0.9× 38 1.3× 23 1.0× 26 1.1× 7 288
Shakhnaz Akhmedova Russia 9 351 1.7× 227 1.8× 10 0.3× 39 1.6× 18 0.8× 40 423
Yuxiao Huang China 7 167 0.8× 121 1.0× 23 0.8× 14 0.6× 26 1.1× 14 259
Christopher K. Monson United States 7 210 1.0× 96 0.8× 49 1.7× 45 1.9× 16 0.7× 13 285
Bingshui Da Singapore 7 325 1.6× 260 2.1× 26 0.9× 9 0.4× 59 2.6× 9 398
Marie Farrell United Kingdom 7 113 0.5× 99 0.8× 39 1.3× 37 1.5× 21 0.9× 25 253

Countries citing papers authored by Feng-Feng Wei

Since Specialization
Citations

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

Fields of papers citing papers by Feng-Feng Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Feng-Feng Wei. 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 Feng-Feng Wei. The network helps show where Feng-Feng Wei may publish in the future.

Co-authorship network of co-authors of Feng-Feng Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Feng-Feng Wei. A scholar is included among the top collaborators of Feng-Feng Wei 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 Feng-Feng Wei. Feng-Feng Wei 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.
Chen, Wei–Neng, et al.. (2025). The Confluence of Evolutionary Computation and Multi-Agent Systems: A Survey. IEEE/CAA Journal of Automatica Sinica. 12(11). 2175–2193.
2.
Wan, Rong, Feng-Feng Wei, & Wei–Neng Chen. (2025). GA-ComFit: A Genetic Algorithm With Community Fitness Sharing Niching for Multimodal Opinion Maximization. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(6). 4161–4174. 1 indexed citations
3.
Wei, Feng-Feng, et al.. (2025). An Asynchronous Distributed Cooperative Coevolutionary Algorithm for Multilayer Influence Maximization. IEEE Transactions on Computational Social Systems. 12(5). 2562–2575. 1 indexed citations
4.
Chen, Beining, Feng-Feng Wei, & Wei–Neng Chen. (2025). Evolutionary Reinforcement Learning with LLM-Based Hyperparameter Adaptation. 87–94.
5.
Chen, Wei–Neng, et al.. (2025). A Distributed Ant Colony System with Pheromone Transfer for Multiagent Traveling Salesmen Problem. IEEE Transactions on Evolutionary Computation. 1–1. 1 indexed citations
6.
Chen, Xiangling, et al.. (2024). An Order-aware Adaptive Iterative Local Search Metaheuristic for Multi-depot UAV Pickup and Delivery Problem. Proceedings of the Genetic and Evolutionary Computation Conference. 1183–1191. 2 indexed citations
7.
Wei, Feng-Feng, et al.. (2024). An Improved Evolutionary Reinforcement Learning Algorithm for UAV Online Target Tracking. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 323–326.
8.
Wei, Feng-Feng, Wei–Neng Chen, Xiaoqi Guo, et al.. (2024). CrowdEC: Crowdsourcing-Based Evolutionary Computation for Distributed Optimization. IEEE Transactions on Services Computing. 17(6). 3286–3299. 4 indexed citations
9.
Wei, Feng-Feng, et al.. (2024). AIEA: An Asynchronous Influence-Based Evolutionary Algorithm for Expensive Many-Objective Optimization. IEEE Transactions on Cybernetics. 55(2). 786–799.
10.
Chen, Wei–Neng, et al.. (2024). Multiagent Swarm Optimization With Adaptive Internal and External Learning for Complex Consensus-Based Distributed Optimization. IEEE Transactions on Evolutionary Computation. 29(4). 906–920. 6 indexed citations
11.
12.
Zhao, Bowen, Wei–Neng Chen, Feng-Feng Wei, et al.. (2024). PEGA: A Privacy-Preserving Genetic Algorithm for Combinatorial Optimization. IEEE Transactions on Cybernetics. 54(6). 3638–3651. 25 indexed citations
13.
14.
Wei, Feng-Feng, Wei–Neng Chen, & Jun Zhang. (2023). A Hybrid Regressor and Classifier-Assisted Evolutionary Algorithm for Expensive Optimization With Incomplete Constraint Information. IEEE Transactions on Systems Man and Cybernetics Systems. 53(8). 5071–5083. 19 indexed citations
15.
Wei, Feng-Feng, Wei–Neng Chen, Qing Li, Sang-Woon Jeon, & Jun Zhang. (2022). Distributed and Expensive Evolutionary Constrained Optimization With On-Demand Evaluation. IEEE Transactions on Evolutionary Computation. 27(3). 671–685. 34 indexed citations
16.
Wei, Feng-Feng, et al.. (2022). A swarm-optimizer-assisted simulation and prediction model for emerging infectious diseases based on SEIR. Complex & Intelligent Systems. 9(2). 2189–2204. 2 indexed citations
17.
Chen, Wei–Neng, et al.. (2022). Edge–Cloud Co-Evolutionary Algorithms for Distributed Data-Driven Optimization Problems. IEEE Transactions on Cybernetics. 53(10). 6598–6611. 22 indexed citations
18.
Zhan, Zhi‐Hui, Jun Zhang, Ying Lin, et al.. (2021). Matrix-Based Evolutionary Computation. IEEE Transactions on Emerging Topics in Computational Intelligence. 6(2). 315–328. 80 indexed citations
19.
Wei, Feng-Feng, Wei–Neng Chen, Qiang Yang, et al.. (2020). A Classifier-Assisted Level-Based Learning Swarm Optimizer for Expensive Optimization. IEEE Transactions on Evolutionary Computation. 25(2). 219–233. 89 indexed citations
20.
Wei, Feng-Feng, Wei–Neng Chen, Xiao-Min Hu, & Jun Zhang. (2019). An Empirical Study on Evolutionary Algorithms for Traveling Salesman Problem. 4 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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2026