Feng-Feng Wei

623 citations
28 papers · 419 · h-index 9

Impact in

Papers in

Feng-Feng Wei

23 papers receiving 417 citations

Peers

Feng-Feng Wei
Comparison fields: 5 of 51
  • Computational Theory and Mathematics 152
  • Artificial Intelligence 239
  • Industrial and Manufacturing Engineering 33
  • Computer Networks and Communications 42
  • Computer Science Applications 9
Replace Michael J. Hirsch with:
Michael J. Hirsch United States
Murat Samil Aslan Türkiye
Heiner Zille Germany
Zhengyi Chai China
Bingshui Da Singapore
Jaza Mahmood Abdullah Iraq
Yintong Li China
Borhan Kazimipour Australia
Lingying Huang China
Minglei Yin China
Feng-Feng Wei relative to Michael J. Hirsch United States Michael J. Hirsch's profile →
Citations per field
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Michael J. Hirsch · 1×
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 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020105
2 202191
3 202242
4 202436
5 202229
6 202324
7 202319
8 202414
9 202413
10 20238
11 20196
12 20246
13 20255
14 20245
15 20253
16 20243
17 20223
18 20252
19 20251
20 20241

About Feng-Feng Wei

Feng-Feng Wei is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Industrial and Manufacturing Engineering, Computer Science Applications and Control and Systems Engineering, having authored 28 papers that have together received 419 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (13 papers), Advanced Multi-Objective Optimization Algorithms (10 papers), Evolutionary Algorithms and Applications (9 papers), Data Stream Mining Techniques (3 papers), Mobile Crowdsensing and Crowdsourcing (2 papers), Vehicle Routing Optimization Methods (2 papers), Traffic control and management (2 papers) and COVID-19 epidemiological studies (1 paper). The work is most often cited by research in Computational Theory and Mathematics (152 citations), Artificial Intelligence (239 citations), Industrial and Manufacturing Engineering (33 citations), Computer Networks and Communications (42 citations) and Computer Science Applications (9 citations). Feng-Feng Wei has collaborated with scholars based in China, South Korea and Hong Kong. Frequent co-authors include Wei–Neng Chen, Jun ZHANG, Xiao-Qi Guo, Hu Jin, Xiaonan Luo, Qiang Yang, Jeremiah D. Deng, Xiao-Min Hu, Sang-Woon Jeon and Zhi‐Hui Zhan. 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 Swarm and Evolutionary Computation.

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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