Yongchuan Tang

2.1k total citations
76 papers, 1.7k citations indexed

About

Yongchuan Tang is a scholar working on Management Science and Operations Research, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Yongchuan Tang has authored 76 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Management Science and Operations Research, 29 papers in Artificial Intelligence and 21 papers in Control and Systems Engineering. Recurrent topics in Yongchuan Tang's work include Multi-Criteria Decision Making (32 papers), Rough Sets and Fuzzy Logic (21 papers) and Risk and Safety Analysis (15 papers). Yongchuan Tang is often cited by papers focused on Multi-Criteria Decision Making (32 papers), Rough Sets and Fuzzy Logic (21 papers) and Risk and Safety Analysis (15 papers). Yongchuan Tang collaborates with scholars based in China, United Kingdom and Hong Kong. Yongchuan Tang's co-authors include Deyun Zhou, Wen Jiang, Chunhe Xie, Dongdong Wu, Boya Wei, Zichang He, Yu Luo, Felix T.S. Chan, Yubo Huang and Zijing Liu and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Yongchuan Tang

73 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yongchuan Tang China 24 734 590 386 372 303 76 1.7k
Xiaoyan Su China 18 557 0.8× 472 0.8× 366 0.9× 197 0.5× 267 0.9× 65 1.3k
Liguo Fei China 25 888 1.2× 582 1.0× 197 0.5× 273 0.7× 308 1.0× 57 1.7k
Anne-Laure Jousselme Canada 16 746 1.0× 1.1k 1.9× 197 0.5× 178 0.5× 335 1.1× 83 1.9k
Leilei Chang China 24 474 0.6× 862 1.5× 245 0.6× 539 1.4× 362 1.2× 78 1.9k
Éloi Bossé Canada 24 732 1.0× 1.4k 2.4× 183 0.5× 323 0.9× 333 1.1× 118 2.5k
Gilles Mauris France 20 537 0.7× 453 0.8× 306 0.8× 236 0.6× 112 0.4× 82 1.7k
Yafei Song China 26 963 1.3× 1.1k 1.8× 117 0.3× 330 0.9× 430 1.4× 138 2.2k
Peyman Mohajerin Esfahani Netherlands 18 694 0.9× 290 0.5× 233 0.6× 948 2.5× 274 0.9× 74 2.1k
Lev V. Utkin Russia 21 384 0.5× 472 0.8× 380 1.0× 189 0.5× 165 0.5× 160 1.4k
Piero P. Bonissone United States 24 527 0.7× 1.1k 1.9× 75 0.2× 454 1.2× 374 1.2× 112 2.1k

Countries citing papers authored by Yongchuan Tang

Since Specialization
Citations

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

Fields of papers citing papers by Yongchuan Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongchuan Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Yongchuan Tang. A scholar is included among the top collaborators of Yongchuan Tang 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 Yongchuan Tang. Yongchuan Tang 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.
Tang, Yongchuan, et al.. (2025). Failure Mode and Effects Analysis Method on the Air System of an Aircraft Turbofan Engine in Multi-Criteria Open Group Decision-Making Environment. Cybernetics & Systems. 56(7). 1053–1084. 6 indexed citations
2.
Tang, Yongchuan, et al.. (2025). Probabilistic transformation of basic probability assignment based on weighted visibility graph networks. Applied Soft Computing. 184. 113821–113821. 1 indexed citations
3.
Tang, Yongchuan, et al.. (2024). Negation of permutation mass function in random permutation sets theory for uncertain information modeling. Complex & Intelligent Systems. 10(6). 7697–7709.
4.
Tang, Yongchuan, Lei Wu, Yubo Huang, & Deyun Zhou. (2023). A new classification method using the generalized basic probability assignment. Warwick Research Archive Portal (University of Warwick). 1–6.
5.
6.
Wu, Lei, et al.. (2023). Uncertainty Management in Assessment of FMEA Expert Based on Negation Information and Belief Entropy. Entropy. 25(5). 800–800. 4 indexed citations
7.
Li, Li & Yongchuan Tang. (2023). A New Method of Human Reliability Analysis Based on the Correlation Coefficient in the Evidence Theory and Analytic Hierarchy Process Method. Arabian Journal for Science and Engineering. 48(8). 10713–10726. 3 indexed citations
8.
Tang, Yongchuan, et al.. (2023). BDWRPN: Belief divergence weighted risk priority number for failure modes ranking and its application. Warwick Research Archive Portal (University of Warwick). 1–6. 1 indexed citations
9.
Liu, Yiyi, Yongchuan Tang, Zhengyi Yang, et al.. (2023). Improved fuzzy evidential DEMATEL method based on two-dimensional correlation coefficient and negation evidence. Soft Computing. 27(16). 11177–11192. 6 indexed citations
10.
Tang, Yongchuan, et al.. (2023). Failure mode and effects analysis using an improved pignistic probability transformation function and grey relational projection method. Complex & Intelligent Systems. 10(2). 2233–2247. 25 indexed citations
11.
Tang, Yongchuan, et al.. (2022). An Improved Failure Mode and Effects Analysis Method Using Belief Jensen–Shannon Divergence and Entropy Measure in the Evidence Theory. Arabian Journal for Science and Engineering. 48(5). 7163–7176. 41 indexed citations
12.
Zhang, Ziyuan, et al.. (2021). Recognition Method of Digital Meter Readings in Substation Based on Connected Domain Analysis Algorithm. Actuators. 10(8). 170–170. 10 indexed citations
13.
Tang, Yongchuan, Dongdong Wu, & Zijing Liu. (2021). A new approach for generation of generalized basic probability assignment in the evidence theory. Pattern Analysis and Applications. 24(3). 1007–1023. 41 indexed citations
14.
Tang, Yongchuan, et al.. (2017). An Improved Physarum Solver for Supply Chain Network with Fuzzy Numbers.. International journal of unconventional computing. 13. 161–184. 6 indexed citations
15.
Tang, Yongchuan, et al.. (2017). An Improved Evidential-IOWA Sensor Data Fusion Approach in Fault Diagnosis. Sensors. 17(9). 2143–2143. 13 indexed citations
16.
Jiang, Wen, Chunhe Xie, Boya Wei, & Yongchuan Tang. (2017). Failure Mode and Effects Analysis based on Z-numbers. Intelligent Automation & Soft Computing. 24(1). 165–172. 31 indexed citations
17.
Zhou, Deyun, et al.. (2017). An Improved Belief Entropy and Its Application in Decision-Making. Complexity. 2017. 1–15. 28 indexed citations
18.
Jiang, Wen, Chunhe Xie, Yu Luo, & Yongchuan Tang. (2016). Ranking Z-numbers with an improved ranking method for generalized fuzzy numbers. Journal of Intelligent & Fuzzy Systems. 32(3). 1931–1943. 85 indexed citations
19.
Tang, Yongchuan, Deyun Zhou, & Wen Jiang. (2016). A New Fuzzy-Evidential Controller for Stabilization of the Planar Inverted Pendulum System. PLoS ONE. 11(8). e0160416–e0160416. 33 indexed citations
20.
Qi, Qian, Dongmei Deng, Feng Liu, & Yongchuan Tang. (2011). Stabilization of the double inverted pendulum based on discrete-time model predictive control. 26. 243–247. 6 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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