Yu‐Wang Chen

3.5k citations
100 papers · 2.8k indexed · h-index 30

Impact in

Papers in

Yu‐Wang Chen

95 papers receiving 2.7k citations

Peers

Yu‐Wang Chen
Comparison fields: 5 of 134
  • Management Science and Operations Research 1.0k
  • Artificial Intelligence 1.2k
  • Statistics, Probability and Uncertainty 237
  • Computational Theory and Mathematics 516
  • Industrial and Manufacturing Engineering 210
Replace Jian-Bo Yang with:
Jian-Bo Yang United Kingdom
Ying-Ming Wang China
Xinyang Deng China
Renato A. Krohling Brazil
Piero P. Bonissone United States
Pranab K. Muhuri India
Samarjit Kar India
Steven Li Australia
Hans-Jürgen Zimmermann Germany
Zhang‐peng Tian China
Yu‐Wang Chen relative to Jian-Bo Yang United Kingdom Jian-Bo Yang's profile →
Citations per field
00.5×4.8×
Jian-Bo Yang · 1×
Citations per year

Countries citing papers authored by Yu‐Wang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐Wang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016169
2 2017136
3 2017118
4 2018115
5 2021113
6 2015105
7 201986
8 201184
9 201382
10 202374
11 202274
12 201765
13 201964
14 202060
15 200759
16 201558
17 201555
18 202152
19 201550
20 201450

About Yu‐Wang Chen

Yu‐Wang Chen is a scholar working on Artificial Intelligence, Management Science and Operations Research, Control and Systems Engineering, Information Systems and Computational Theory and Mathematics, having authored 100 papers that have together received 2.8k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (27 papers), Bayesian Modeling and Causal Inference (14 papers), Fault Detection and Control Systems (11 papers), Rough Sets and Fuzzy Logic (11 papers), Complex Network Analysis Techniques (9 papers), Metaheuristic Optimization Algorithms Research (9 papers), Optimization and Mathematical Programming (7 papers) and Fuzzy Logic and Control Systems (7 papers). The work is most often cited by research in Management Science and Operations Research (1.0k citations), Artificial Intelligence (1.2k citations), Statistics, Probability and Uncertainty (237 citations), Computational Theory and Mathematics (516 citations) and Industrial and Manufacturing Engineering (210 citations). Yu‐Wang Chen has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Jianbo Yang, Dong‐Ling Xu, Mi Zhou, Xiaobin Xu, Jian Wu, Leilei Chang, Zhijie Zhou, Yong-Zai Lu, Genke Yang and Chao Fu. Their work appears in journals such as Knowledge-Based Systems, Expert Systems with Applications, International Journal of Computational Intelligence Systems, European Journal of Operational Research and Applied Soft 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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