Kehua Yuan

536 total citations
13 papers, 393 citations indexed

About

Kehua Yuan is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Information Systems. According to data from OpenAlex, Kehua Yuan has authored 13 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computational Theory and Mathematics, 6 papers in Artificial Intelligence and 5 papers in Information Systems. Recurrent topics in Kehua Yuan's work include Rough Sets and Fuzzy Logic (7 papers), Data Mining Algorithms and Applications (4 papers) and Image Processing and 3D Reconstruction (3 papers). Kehua Yuan is often cited by papers focused on Rough Sets and Fuzzy Logic (7 papers), Data Mining Algorithms and Applications (4 papers) and Image Processing and 3D Reconstruction (3 papers). Kehua Yuan collaborates with scholars based in China, Canada and Poland. Kehua Yuan's co-authors include Weihua Xu, Wentao Li, Weiping Ding, Duoqian Miao, Hongyun Zhang, Witold Pedrycz, Yiyu Yao, Liang Hu, Tao Zhan and Xinjiang Wei and has published in prestigious journals such as Information Sciences, IEEE Transactions on Fuzzy Systems and IEEE Transactions on Cybernetics.

In The Last Decade

Kehua Yuan

12 papers receiving 385 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kehua Yuan China 9 240 214 120 110 67 13 393
Javad Azimi United States 9 59 0.2× 225 1.1× 57 0.5× 117 1.1× 47 0.7× 19 353
Rajen B. Bhatt India 9 259 1.1× 205 1.0× 179 1.5× 62 0.6× 80 1.2× 24 424
Sarah Vluymans Belgium 12 165 0.7× 328 1.5× 95 0.8× 83 0.8× 62 0.9× 16 467
Gangqiang Zhang China 14 440 1.8× 228 1.1× 170 1.4× 38 0.3× 256 3.8× 37 538
Yunsong Qi China 9 228 0.9× 201 0.9× 116 1.0× 37 0.3× 71 1.1× 16 368
Zongtian Liu China 11 114 0.5× 195 0.9× 112 0.9× 14 0.1× 48 0.7× 77 325
Randy Kerber United States 5 165 0.7× 320 1.5× 212 1.8× 44 0.4× 37 0.6× 5 458
Jaak Tepandi Estonia 6 47 0.2× 204 1.0× 60 0.5× 31 0.3× 45 0.7× 19 325
Jing-Cheng Shi China 6 72 0.3× 112 0.5× 46 0.4× 29 0.3× 74 1.1× 10 232
Shu Guo China 12 38 0.2× 635 3.0× 127 1.1× 68 0.6× 128 1.9× 36 702

Countries citing papers authored by Kehua Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Kehua Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kehua Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Kehua Yuan. A scholar is included among the top collaborators of Kehua Yuan 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 Kehua Yuan. Kehua Yuan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Yuan, Kehua, Yu Bai, Duoqian Miao, et al.. (2025). Multi-granularity Knowledge Fusion for Feature Selection Using Granular-ball Entropy Uncertainty Measures. International Journal of Approximate Reasoning. 189. 109590–109590.
2.
Yuan, Kehua, Duoqian Miao, Hongyun Zhang, & Witold Pedrycz. (2025). An Efficient and Robust Feature Selection Approach Based on Zentropy Measure and Neighborhood-Aware Model. IEEE Transactions on Neural Networks and Learning Systems. 36(9). 16351–16365. 6 indexed citations
3.
Yuan, Kehua, Weihua Xu, & Duoqian Miao. (2024). A local rough set method for feature selection by variable precision composite measure. Applied Soft Computing. 155. 111450–111450. 21 indexed citations
4.
Yuan, Kehua, Duoqian Miao, Witold Pedrycz, Weiping Ding, & Hongyun Zhang. (2024). Ze-HFS: Zentropy-Based Uncertainty Measure for Heterogeneous Feature Selection and Knowledge Discovery. IEEE Transactions on Knowledge and Data Engineering. 36(11). 7326–7339. 31 indexed citations
5.
Yuan, Kehua, Duoqian Miao, Witold Pedrycz, Hongyun Zhang, & Liang Hu. (2024). Multigranularity Data Analysis With Zentropy Uncertainty Measure for Efficient and Robust Feature Selection. IEEE Transactions on Cybernetics. 55(2). 740–752. 17 indexed citations
6.
Yuan, Kehua, et al.. (2023). Feature Selection Using Zentropy-Based Uncertainty Measure. IEEE Transactions on Fuzzy Systems. 32(4). 2246–2260. 34 indexed citations
7.
Xu, Weihua, Kehua Yuan, & Wentao Li. (2022). Dynamic updating approximations of local generalized multigranulation neighborhood rough set. Applied Intelligence. 52(8). 9148–9173. 62 indexed citations
8.
Xu, Weihua, Kehua Yuan, Wentao Li, & Weiping Ding. (2022). An Emerging Fuzzy Feature Selection Method Using Composite Entropy-Based Uncertainty Measure and Data Distribution. IEEE Transactions on Emerging Topics in Computational Intelligence. 7(1). 76–88. 91 indexed citations
9.
Li, Wentao, et al.. (2021). Multi-granulation-based optimal scale selection in multi-scale information systems. Computers & Electrical Engineering. 92. 107107–107107. 9 indexed citations
10.
Yuan, Kehua, et al.. (2021). A comparative experimental evaluation on performance of type-1 and interval type-2 Takagi-Sugeno fuzzy models. International Journal of Machine Learning and Cybernetics. 12(7). 2135–2150. 8 indexed citations
11.
Yuan, Kehua, Weihua Xu, Wentao Li, & Weiping Ding. (2021). An incremental learning mechanism for object classification based on progressive fuzzy three-way concept. Information Sciences. 584. 127–147. 100 indexed citations
12.
Yuan, Kehua, et al.. (2020). Opinion Dynamics with Bayesian Learning. Complexity. 2020. 1–5. 9 indexed citations
13.
Zhuge, Hai, Kehua Yuan, Jin Liu, Junsheng Zhang, & Xiaofeng Wang. (2007). Modeling language and tools for the semantic link network. Concurrency and Computation Practice and Experience. 20(7). 885–902. 5 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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