Yu‐Wang Chen

3.6k citations
102 papers · 2.8k · h-index 30

Impact in

Papers in

Yu‐Wang Chen

98 papers receiving 2.8k citations

Peers

Yu‐Wang Chen
Comparison fields: 5 of 132
  • Management Science and Operations Research 1.0k
  • Artificial Intelligence 1.2k
  • Statistics, Probability and Uncertainty 239
  • Computational Theory and Mathematics 520
  • Control and Systems Engineering 497
Replace Jian-Bo Yang with:
Jian-Bo Yang United Kingdom
Xinyang Deng China
Alistair Smith United Kingdom
Zhen‐Song Chen China
Renato A. Krohling Brazil
Jindong Qin China
Piero P. Bonissone United States
Pranab K. Muhuri India
L. Mikhailov United Kingdom
Samarjit Kar India
Yu‐Wang Chen relative to Jian-Bo Yang United Kingdom Jian-Bo Yang's profile →
Citations per field
00.5×4.7×
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 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016169
2 2017136
3 2017119
4 2021118
5 2018117
6 2015105
7 201988
8 201187
9 201383
10 202379
11 202276
12 201768
13 201966
14 202062
15 200758
16 201558
17 201555
18 201552
19 202152
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 102 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), Rough Sets and Fuzzy Logic (11 papers), Fault Detection and Control Systems (11 papers), Metaheuristic Optimization Algorithms Research (9 papers), Complex Network Analysis Techniques (9 papers), Fuzzy Logic and Control Systems (7 papers) and Optimization and Mathematical Programming (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 (239 citations), Computational Theory and Mathematics (520 citations) and Control and Systems Engineering (497 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, Yong-Zai Lu, Genke Yang, Chao Fu and Changchun Pan. 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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