Xiaozhuan Gao

650 total citations
22 papers, 502 citations indexed

About

Xiaozhuan Gao is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computational Theory and Mathematics. According to data from OpenAlex, Xiaozhuan Gao has authored 22 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 13 papers in Management Science and Operations Research and 7 papers in Computational Theory and Mathematics. Recurrent topics in Xiaozhuan Gao's work include Multi-Criteria Decision Making (12 papers), Rough Sets and Fuzzy Logic (6 papers) and Bayesian Modeling and Causal Inference (5 papers). Xiaozhuan Gao is often cited by papers focused on Multi-Criteria Decision Making (12 papers), Rough Sets and Fuzzy Logic (6 papers) and Bayesian Modeling and Causal Inference (5 papers). Xiaozhuan Gao collaborates with scholars based in China, Japan and Switzerland. Xiaozhuan Gao's co-authors include Yong Deng, Lipeng Pan, Fan Liu, Jie Zhao, Sang‐Bing Tsai, Kang Hao Cheong, Danilo Pelusi, Jiahui Chen and Bingyi Kang and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Information Sciences.

In The Last Decade

Xiaozhuan Gao

21 papers receiving 486 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaozhuan Gao China 13 288 261 129 99 79 22 502
Lipeng Pan China 12 303 1.1× 308 1.2× 142 1.1× 90 0.9× 59 0.7× 26 551
Fuyuan Xiao China 4 194 0.7× 277 1.1× 122 0.9× 44 0.4× 66 0.8× 6 453
Boya Wei China 9 355 1.2× 201 0.8× 129 1.0× 64 0.6× 48 0.6× 9 566
Qianli Zhou China 12 185 0.6× 234 0.9× 101 0.8× 52 0.5× 53 0.7× 28 408
Zichang He United States 11 227 0.8× 242 0.9× 97 0.8× 33 0.3× 48 0.6× 26 464
Johan Schubert Sweden 14 236 0.8× 339 1.3× 86 0.7× 42 0.4× 21 0.3× 51 544
Nasreen Kausar Türkiye 14 381 1.3× 143 0.5× 192 1.5× 104 1.1× 23 0.3× 120 753
Matthias C. M. Troffaes United Kingdom 16 201 0.7× 257 1.0× 94 0.7× 142 1.4× 18 0.2× 53 734

Countries citing papers authored by Xiaozhuan Gao

Since Specialization
Citations

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

Fields of papers citing papers by Xiaozhuan Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaozhuan Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaozhuan Gao. A scholar is included among the top collaborators of Xiaozhuan Gao 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 Xiaozhuan Gao. Xiaozhuan Gao 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.
Gao, Xiaozhuan & Lipeng Pan. (2025). An information fusion model of mutual influence between focal elements: A perspective on interference effects in Dempster–Shafer evidence theory. Information Fusion. 124. 103286–103286. 1 indexed citations
2.
Gao, Xiaozhuan, et al.. (2025). Quantum-like evidence networks decision-making model. Engineering Applications of Artificial Intelligence. 157. 111368–111368. 1 indexed citations
3.
Pan, Lipeng, et al.. (2025). Influence factor-based transformation method for translating mass function to probability in Dempster–Shafer evidence theory. Engineering Applications of Artificial Intelligence. 149. 110385–110385. 1 indexed citations
4.
Gao, Xiaozhuan, et al.. (2025). Complex-valued belief divergence measure and its application on information fusion. Computational and Applied Mathematics. 44(6).
5.
Pan, Lipeng & Xiaozhuan Gao. (2023). Evidential Markov decision-making model based on belief entropy to predict interference effects. Information Sciences. 633. 10–26. 20 indexed citations
6.
Gao, Xiaozhuan, Lipeng Pan, Danilo Pelusi, & Yong Deng. (2022). Fuzzy Markov Decision-Making Model for Interference Effects. IEEE Transactions on Fuzzy Systems. 31(1). 199–212. 10 indexed citations
7.
Pan, Lipeng, Xiaozhuan Gao, & Yong Deng. (2022). A distance of quantum mass function and its application in multi-source information fusion method based on discount coefficient. Engineering Applications of Artificial Intelligence. 116. 105407–105407. 4 indexed citations
8.
Gao, Xiaozhuan & Yong Deng. (2022). Inferable dynamic Markov model to predict interference effects. Engineering Applications of Artificial Intelligence. 117. 105512–105512. 6 indexed citations
9.
Pan, Lipeng, Xiaozhuan Gao, & Yong Deng. (2022). Quantum algorithm of Dempster rule of combination. Applied Intelligence. 53(8). 8799–8808. 7 indexed citations
10.
Pan, Lipeng, Xiaozhuan Gao, Yong Deng, & Kang Hao Cheong. (2022). Enhanced mass Jensen–Shannon divergence for information fusion. Expert Systems with Applications. 209. 118065–118065. 19 indexed citations
11.
Gao, Xiaozhuan, Lipeng Pan, & Yong Deng. (2021). A generalized divergence of information volume and its applications. Engineering Applications of Artificial Intelligence. 108. 104584–104584. 29 indexed citations
12.
Gao, Xiaozhuan, Lipeng Pan, & Yong Deng. (2021). Quantum Pythagorean Fuzzy Evidence Theory: A Negation of Quantum Mass Function View. IEEE Transactions on Fuzzy Systems. 30(5). 1313–1327. 40 indexed citations
13.
Gao, Xiaozhuan, Lipeng Pan, & Yong Deng. (2021). Cross entropy of mass function and its application in similarity measure. Applied Intelligence. 52(8). 8337–8350. 11 indexed citations
14.
Gao, Xiaozhuan & Yong Deng. (2021). Generating method of Pythagorean fuzzy sets from the negation of probability. Engineering Applications of Artificial Intelligence. 105. 104403–104403. 24 indexed citations
15.
Gao, Xiaozhuan, et al.. (2020). Pignistic Belief Transform: A New Method of Conflict Measurement. IEEE Access. 8. 15265–15272. 15 indexed citations
16.
Gao, Xiaozhuan & Yong Deng. (2020). The Pseudo-Pascal Triangle of Maximum Deng Entropy. International Journal of Computers Communications & Control. 15(1). 47 indexed citations
17.
Gao, Xiaozhuan & Yong Deng. (2019). The Negation of Basic Probability Assignment. IEEE Access. 7. 107006–107014. 42 indexed citations
18.
Gao, Xiaozhuan, et al.. (2019). A Generalized Expression for Information Quality of Basic Probability Assignment. IEEE Access. 7. 174734–174739. 24 indexed citations
19.
Liu, Fan, Xiaozhuan Gao, Jie Zhao, & Yong Deng. (2019). Generalized Belief Entropy and Its Application in Identifying Conflict Evidence. IEEE Access. 7. 126625–126633. 67 indexed citations
20.
Gao, Xiaozhuan, Fan Liu, Lipeng Pan, Yong Deng, & Sang‐Bing Tsai. (2019). Uncertainty measure based on Tsallis entropy in evidence theory. International Journal of Intelligent Systems. 34(11). 3105–3120. 66 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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