Fei Ming

1.5k citations
36 papers · 938 · h-index 17

Impact in

Papers in

Fei Ming

33 papers receiving 915 citations

Peers

Fei Ming
Comparison fields: 5 of 58
  • Computational Theory and Mathematics 639
  • Artificial Intelligence 612
  • Industrial and Manufacturing Engineering 166
  • Control and Systems Engineering 132
  • Management Science and Operations Research 70
Replace Setsuko Sakai with:
Setsuko Sakai Japan
Saúl Zapotecas–Martínez Mexico
Adriana Lara Mexico
Yuren Zhou China
Gregorio Toscano‐Pulido Mexico
Ruwang Jiao China
Dan Guo China
Lie Meng Pang China
Cuie Yang China
Zefeng Chen China
Fei Ming relative to Setsuko Sakai Japan Setsuko Sakai's profile →
Citations per field
00.5×10×14.2×
Setsuko Sakai · 1×
Citations per year

Countries citing papers authored by Fei Ming

Since Specialization
Citations

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

Fields of papers citing papers by Fei Ming

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Fei Ming, 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 Fei Ming Line = papers co-authored together Fei Ming links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202285
2 202285
3 202177
4 202276
5 202264
6 202263
7 202251
8 202148
9 202345
10 202435
11 202435
12 202232
13 202431
14 202229
15 202326
16 202425
17 202424
18 202416
19 202216
20 202214

About Fei Ming

Fei Ming is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Civil and Structural Engineering, Control and Systems Engineering and Industrial and Manufacturing Engineering, having authored 36 papers that have together received 938 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (33 papers), Metaheuristic Optimization Algorithms Research (29 papers), Evolutionary Algorithms and Applications (12 papers), Topology Optimization in Engineering (6 papers), Scheduling and Optimization Algorithms (4 papers), Advanced Control Systems Optimization (2 papers), Advanced Manufacturing and Logistics Optimization (2 papers) and Advanced Optimization Algorithms Research (2 papers). The work is most often cited by research in Computational Theory and Mathematics (639 citations), Artificial Intelligence (612 citations), Industrial and Manufacturing Engineering (166 citations), Control and Systems Engineering (132 citations) and Management Science and Operations Research (70 citations). Fei Ming has collaborated with scholars based in China, New Zealand and Germany. Frequent co-authors include Wenyin Gong, Ling Wang, Liang Gao, Ling Wang, Zuowen Liao, Chao Lu, Yaochu Jin, Shuijia Li, Dongcheng Li and Rui Li. Their work appears in journals such as Swarm and Evolutionary Computation, IEEE Transactions on Evolutionary Computation, IEEE Transactions on Cybernetics, Knowledge-Based Systems and IEEE/CAA Journal of Automatica Sinica.

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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