Zefeng Chen

487 citations
28 papers · 361 · h-index 12

Impact in

Papers in

Zefeng Chen

24 papers receiving 357 citations

Peers

Zefeng Chen
Comparison fields: 5 of 54
  • Computational Theory and Mathematics 230
  • Artificial Intelligence 252
  • Management Science and Operations Research 49
  • Industrial and Manufacturing Engineering 36
  • Computational Mathematics 1
Replace Langchun Si with:
Langchun Si China
Yuanchao Liu China
Borhan Kazimipour Australia
Xuanxuan Ban China
Jie Tian China
Yugen You China
Raquel Hernández Gómez Mexico
Jiajie Mo China
Kaname Narukawa Japan
Haiming Lu United States
Zefeng Chen relative to Langchun Si China Langchun Si's profile →
Citations per field
00.5×10×15.8×
Langchun Si · 1×
Citations per year

Countries citing papers authored by Zefeng Chen

Since Specialization
Citations

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

Fields of papers citing papers by Zefeng Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Zefeng Chen, 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 Zefeng Chen Line = papers co-authored together Zefeng Chen 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 2018100
2 201829
3 201825
4 201724
5 201924
6 201921
7 202018
8 201815
9 201915
10 202015
11 201914
12 202111
13 20249
14 20198
15 20198
16 20057
17 20234
18 20224
19 20252
20 20182

About Zefeng Chen

Zefeng Chen is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Management Science and Operations Research and Industrial and Manufacturing Engineering, having authored 28 papers that have together received 361 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (15 papers), Advanced Multi-Objective Optimization Algorithms (9 papers), Evolutionary Algorithms and Applications (8 papers), Optimal Experimental Design Methods (4 papers), Distributed and Parallel Computing Systems (3 papers), Vehicle Routing Optimization Methods (2 papers), Neural Networks and Applications (2 papers) and Scheduling and Optimization Algorithms (2 papers). The work is most often cited by research in Computational Theory and Mathematics (230 citations), Artificial Intelligence (252 citations), Management Science and Operations Research (49 citations), Industrial and Manufacturing Engineering (36 citations) and Computational Mathematics (1 citation). Zefeng Chen has collaborated with scholars based in China, Singapore and Hong Kong. Frequent co-authors include Yuren Zhou, Xiaoyu He, Qingfu Zhang, Zhengxin Huang, Yi Xiang, Jun Zhang, Xiaoyun Xia, Siyu Jiang, Wei–Neng Chen and Jiahai Wang. Their work appears in journals such as IEEE Transactions on Cybernetics, IEEE Transactions on Evolutionary Computation, Applied Soft Computing, Swarm and Evolutionary Computation and Acta Astronautica.

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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