Feng-Feng Wei

529 citations
23 papers · 311 · h-index 8

Impact in

Papers in

Feng-Feng Wei

16 papers receiving 307 citations

Peers

Feng-Feng Wei
Comparison fields: 5 of 48
  • Computational Theory and Mathematics 125
  • Artificial Intelligence 206
  • Industrial and Manufacturing Engineering 23
  • Computer Science Applications 8
  • Computer Networks and Communications 29
Replace Bingshui Da with:
Bingshui Da Singapore
Raffaele Mascella Italy
Christopher K. Monson United States
Kavitesh Kumar Bali Singapore
Yiran Zhao China
Hongyao Tang China
Borhan Kazimipour Australia
Quentin Cappart Canada
Marie Farrell United Kingdom
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Citations per year

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-authors

The 25 scholars most cited alongside Feng-Feng Wei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Feng-Feng Wei Line = papers co-authored together Feng-Feng Wei links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202089
2 202180
3 202234
4 202425
5 202222
6 202319
7 202314
8 20247
9 20246
10 20244
11 20194
12 20242
13 20222
14 20251
15 20251
16 20251
17 20250
18 20240
19 20240
20 20230

About Feng-Feng Wei

Feng-Feng Wei is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Control and Systems Engineering and Computer Science Applications, having authored 23 papers that have together received 311 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (12 papers), Evolutionary Algorithms and Applications (9 papers), Advanced Multi-Objective Optimization Algorithms (9 papers), Data Stream Mining Techniques (3 papers), Vehicle Routing Optimization Methods (2 papers), Mobile Crowdsensing and Crowdsourcing (2 papers), Advanced Text Analysis Techniques (1 paper) and Optimization and Search Problems (1 paper). The work is most often cited by research in Computational Theory and Mathematics (125 citations), Artificial Intelligence (206 citations), Industrial and Manufacturing Engineering (23 citations), Computer Science Applications (8 citations) and Computer Networks and Communications (29 citations). Feng-Feng Wei has collaborated with scholars based in China, South Korea and Hong Kong. Frequent co-authors include Jun Zhang, Wei–Neng Chen, Jeremiah D. Deng, Hu Jin, Xiaonan Luo, Qiang Yang, Xiao-Min Hu, Ying Lin, Sang-Woon Jeon and Sam Kwong. Their work appears in journals such as IEEE Transactions on Evolutionary Computation, IEEE Transactions on Cybernetics, IEEE Transactions on Emerging Topics in Computational Intelligence, IEEE Transactions on Systems Man and Cybernetics Systems and IEEE Transactions on Services Computing.

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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