Congxin Wu

75 papers receiving 2.4k citations

Congxin Wu's Hit Papers

Neighborhood rough set based heterogeneous feature subset selection 2008 · 883 citations
8830+6+12Years since publication250500750

Peers

Congxin Wu
Comparison fields: 5 of 73
  • Statistics and Probability 988
  • Computational Theory and Mathematics 1.2k
  • Modeling and Simulation 285
  • Applied Mathematics 648
  • Management Science and Operations Research 600
Replace Zengtai Gong with:
Zengtai Gong China
William L. Voxman United States
Barnabás Bede Romania
Cătălin Negoiță Romania
Jin Han Park South Korea
Roy H. Goetschel United States
Yurilev Chalco-Cano Chile
Yao Ouyang China
Alexander M. Rubinov Australia
Harro Walk Germany
Congxin Wu relative to Zengtai Gong China Zengtai Gong's profile →
Citations per field
00.5×2×3.1×
Zengtai Gong · 1×
Citations per year

Countries citing papers authored by Congxin Wu

Since Specialization
Citations

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

Fields of papers citing papers by Congxin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Congxin Wu, 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 Congxin Wu Line = papers co-authored together Congxin Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Neighborhood rough set based heterogeneous feature subset selection
Hit paper breakdown →
2008883
2 2001206
3 2005113
4 2000108
5 200767
6 201165
7 199659
8 200358
9 200054
10 200852
11 201147
12 201143
13 200840
14 199937
15 200235
16 200234
17 200233
18 200229
19 200728
20 201027

About Congxin Wu

Congxin Wu is a scholar working on Statistics and Probability, Management Science and Operations Research, Computational Theory and Mathematics, Geometry and Topology and Applied Mathematics, having authored 80 papers that have together received 2.5k indexed citations. Recurring topics across this work include Fuzzy Systems and Optimization (48 papers), Multi-Criteria Decision Making (28 papers), Optimization and Variational Analysis (21 papers), Fuzzy Logic and Control Systems (14 papers), Fixed Point Theorems Analysis (13 papers), Fuzzy and Soft Set Theory (12 papers), Optimization and Mathematical Programming (9 papers) and Rough Sets and Fuzzy Logic (8 papers). The work is most often cited by research in Statistics and Probability (988 citations), Computational Theory and Mathematics (1.2k citations), Modeling and Simulation (285 citations), Applied Mathematics (648 citations) and Management Science and Operations Research (600 citations). Congxin Wu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Qinghua Hu, Jinfu Liu, Daren Yu, Zengtai Gong, Shiji Song, Guixiang Wang, Huan Cheng Huang, Fei Guo, Lishan Liu and Qiang He. Their work appears in journals such as Fuzzy Sets and Systems, Information Sciences, Journal of Mathematical Analysis and Applications, Computers & Mathematics with Applications and Abstract and Applied Analysis.

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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