Yu‐Wang Chen

3.5k total citations
100 papers, 2.8k citations indexed

About

Yu‐Wang Chen is a scholar working on Artificial Intelligence, Management Science and Operations Research and Control and Systems Engineering. According to data from OpenAlex, Yu‐Wang Chen has authored 100 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Artificial Intelligence, 30 papers in Management Science and Operations Research and 24 papers in Control and Systems Engineering. Recurrent topics in Yu‐Wang Chen's work include Multi-Criteria Decision Making (27 papers), Bayesian Modeling and Causal Inference (14 papers) and Rough Sets and Fuzzy Logic (11 papers). Yu‐Wang Chen is often cited by papers focused on Multi-Criteria Decision Making (27 papers), Bayesian Modeling and Causal Inference (14 papers) and Rough Sets and Fuzzy Logic (11 papers). Yu‐Wang Chen collaborates with scholars based in United Kingdom, China and United States. Yu‐Wang Chen's 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 and has published in prestigious journals such as Scientific Reports, European Journal of Operational Research and Expert Systems with Applications.

In The Last Decade

Yu‐Wang Chen

95 papers receiving 2.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yu‐Wang Chen United Kingdom 30 1.2k 1.0k 516 488 263 100 2.8k
Jian-Bo Yang United Kingdom 15 698 0.6× 1.1k 1.1× 300 0.6× 387 0.8× 191 0.7× 19 2.2k
Xinyang Deng China 32 1.2k 1.1× 1.4k 1.3× 515 1.0× 472 1.0× 192 0.7× 108 3.1k
Junzo Watada Japan 31 1.1k 0.9× 1.3k 1.3× 280 0.5× 602 1.2× 171 0.7× 354 3.7k
Ying-Ming Wang China 26 624 0.5× 1.3k 1.3× 382 0.7× 442 0.9× 170 0.6× 69 2.3k
Xunjie Gou China 33 1.1k 0.9× 3.2k 3.1× 1.2k 2.3× 863 1.8× 211 0.8× 89 4.3k
Renato A. Krohling Brazil 29 1.3k 1.1× 982 1.0× 451 0.9× 853 1.7× 115 0.4× 75 3.6k
Hans-Jürgen Zimmermann Germany 12 986 0.8× 1.4k 1.4× 482 0.9× 649 1.3× 185 0.7× 35 3.1k
Samarjit Kar India 32 613 0.5× 1.6k 1.6× 320 0.6× 691 1.4× 134 0.5× 154 3.1k
Daniel Vanderpooten France 25 540 0.5× 865 0.8× 1.1k 2.1× 421 0.9× 387 1.5× 78 2.6k
Jiu-Ying Dong China 39 994 0.9× 3.3k 3.3× 745 1.4× 1.3k 2.7× 181 0.7× 117 4.0k

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-authorship network of co-authors of Yu‐Wang Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Yu‐Wang Chen. A scholar is included among the top collaborators of Yu‐Wang Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yu‐Wang Chen. Yu‐Wang Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Prestwich, Andrew, Claire Griffiths, Richard Allmendinger, et al.. (2025). Composite variable bias: causal analysis of weight outcomes. International Journal of Obesity. 49(6). 1043–1050.
2.
4.
Wen, Tao, Yu‐Wang Chen, & Renaud Lambiotte. (2024). Collective effect of self-learning and social learning on language dynamics: a naming game approach in social networks. Journal of The Royal Society Interface. 21(221). 20240406–20240406. 2 indexed citations
5.
Wen, Tao, et al.. (2024). Examining communication network behaviors, structure and dynamics in an organizational hierarchy: A social network analysis approach. Information Processing & Management. 62(1). 103927–103927. 7 indexed citations
6.
He, Wei, et al.. (2023). A double inference engine belief rule base for oil pipeline leakage. Expert Systems with Applications. 240. 122587–122587. 23 indexed citations
9.
Chang, Leilei, Limao Zhang, Chao Fu, & Yu‐Wang Chen. (2021). Transparent Digital Twin for Output Control Using Belief Rule Base. IEEE Transactions on Cybernetics. 52(10). 10364–10378. 113 indexed citations
10.
Zhou, Mi, Meng Hu, Yu‐Wang Chen, et al.. (2021). Towards achieving consistent opinion fusion in group decision making with complete distributed preference relations. Knowledge-Based Systems. 236. 107740–107740. 22 indexed citations
11.
Chen, Yu‐Wang, et al.. (2021). Visualising regional disparities in the risk of COVID-19 at different phases of lockdown in England. Environment and Planning A Economy and Space. 53(5). 883–886. 3 indexed citations
12.
Chang, Leilei, Zhijie Zhou, Huchang Liao, et al.. (2019). Generic Disjunctive Belief-Rule-Base Modeling, Inferencing, and Optimization. IEEE Transactions on Fuzzy Systems. 27(9). 1866–1880. 64 indexed citations
13.
Chang, Leilei, et al.. (2019). Indirect disjunctive belief rule base modeling using limited conjunctive rules: Two possible means. International Journal of Approximate Reasoning. 108. 1–20. 13 indexed citations
14.
Shi, Benyun, et al.. (2017). Exploring Voluntary Vaccinating Behaviors using Evolutionary N-person Threshold Games. Scientific Reports. 7(1). 16355–16355. 7 indexed citations
15.
Zhou, Mi, et al.. (2017). Evidential reasoning rule for MADM with both weights and reliabilities in group decision making. Knowledge-Based Systems. 143. 142–161. 118 indexed citations
16.
Kong, Guilan, Xiaofeng Yin, Tianbing Wang, et al.. (2015). Current state of trauma care in China, tools to predict death and ICU admission after arrival to hospital. Injury. 46(9). 1784–1789. 9 indexed citations
17.
Chen, Yue, Yu‐Wang Chen, Xiaobin Xu, et al.. (2015). A data-driven approximate causal inference model using the evidential reasoning rule. Knowledge-Based Systems. 88. 264–272. 50 indexed citations
18.
Wang, Yanni, Yaping Dai, Yu‐Wang Chen, & Fancheng Meng. (2014). The Evidential Reasoning Approach to Medical Diagnosis using Intuitionistic Fuzzy Dempster-Shafer Theory. International Journal of Computational Intelligence Systems. 8(1). 75–94. 20 indexed citations
19.
Jiang, Jiang, Yu‐Wang Chen, Yingwu Chen, & Kewei Yang. (2011). TOPSIS with fuzzy belief structure for group belief multiple criteria decision making. Expert Systems with Applications. 38(8). 9400–9406. 49 indexed citations
20.
Jiang, Jiang, Yingwu Chen, Dawei Tang, & Yu‐Wang Chen. (2010). TOPSIS with belief structure for group belief multiple criteria decision making. International Journal of Automation and Computing. 7(3). 359–364. 24 indexed citations

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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