Suping Xu

465 total citations
17 papers, 357 citations indexed

About

Suping Xu is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems. According to data from OpenAlex, Suping Xu has authored 17 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 7 papers in Computational Theory and Mathematics and 6 papers in Information Systems. Recurrent topics in Suping Xu's work include Rough Sets and Fuzzy Logic (7 papers), Text and Document Classification Technologies (5 papers) and Data Mining Algorithms and Applications (4 papers). Suping Xu is often cited by papers focused on Rough Sets and Fuzzy Logic (7 papers), Text and Document Classification Technologies (5 papers) and Data Mining Algorithms and Applications (4 papers). Suping Xu collaborates with scholars based in China, Canada and Macao. Suping Xu's co-authors include Xibei Yang, Hualong Yu, Jingyu Yang, Eric C.C. Tsang, Dong‐Jun Yu, Hengrong Ju, Lin Shang, Shaozi Li, Songzhi Su and Zhihui Liu and has published in prestigious journals such as Information Sciences, IEEE Transactions on Fuzzy Systems and Applied Soft Computing.

In The Last Decade

Suping Xu

15 papers receiving 354 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Suping Xu China	11	262	192	144	113	35	17	357
Manuel S. Lazo-Cortés Mexico	9	144 0.5×	76 0.4×	62 0.4×	34 0.3×	24 0.7×	28	220
Jintao Huang China	11	299 1.1×	143 0.7×	106 0.7×	194 1.7×	11 0.3×	32	370
Lanying Wang China	4	242 0.9×	309 1.6×	162 1.1×	96 0.8×	15 0.4×	6	396
Aida de Haro-García Spain	13	354 1.4×	53 0.3×	57 0.4×	115 1.0×	13 0.4×	22	414
Muhammad Summair Raza Pakistan	11	108 0.4×	171 0.9×	175 1.2×	20 0.2×	29 0.8×	23	291
Bruno Crémilleux France	9	147 0.6×	84 0.4×	141 1.0×	29 0.3×	82 2.3×	25	258
Beata Zielosko Poland	11	201 0.8×	218 1.1×	156 1.1×	14 0.1×	22 0.6×	54	308
Zhehuang Huang China	10	159 0.6×	301 1.6×	164 1.1×	82 0.7×	39 1.1×	22	367
Liam Cervante China	5	236 0.9×	117 0.6×	22 0.2×	48 0.4×	12 0.3×	5	298
Du Zhang United States	7	164 0.6×	61 0.3×	116 0.8×	27 0.2×	8 0.2×	11	286

Countries citing papers authored by Suping Xu

Since Specialization

Citations

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

Fields of papers citing papers by Suping Xu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suping Xu

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

All Works

Sort: Min cites: Since: Top N: Style:

17 of 17 papers shown

Xu, Suping, Lin Shang, Keyu Liu, et al.. (2025). Margin-Aware Fuzzy Rough Feature Selection: Bridging Uncertainty Characterization and Pattern Classification. IEEE Transactions on Fuzzy Systems. 34(1). 138–151.

Ju, Hengrong, Jiarong Li, Weiping Ding, et al.. (2025). Class-specific semi-supervised feature selection with fuzzy convex balling information granularity. Information Sciences. 700. 121821–121821.

Ju, Hengrong, Weiping Ding, Jiashuang Huang, et al.. (2024). Dual-Channel Fuzzy Interaction Information Fused Feature Selection With Fuzzy Sparse and Shared Granularities. IEEE Transactions on Fuzzy Systems. 32(11). 6056–6068. 4 indexed citations

Xu, Suping, Lin Shang, Furao Shen, Xibei Yang, & Witold Pedrycz. (2024). Incomplete label distribution learning via label correlation decomposition. Information Fusion. 113. 102600–102600. 5 indexed citations

Zhang, Jiadong, Keyu Liu, Xibei Yang, Hengrong Ju, & Suping Xu. (2023). Multi-label learning with Relief-based label-specific feature selection. Applied Intelligence. 53(15). 18517–18530. 10 indexed citations

Liu, Keyu, et al.. (2022). A Q-learning approach to attribute reduction. Applied Intelligence. 53(4). 3750–3765. 11 indexed citations

Ju, Hengrong, Weiping Ding, Xibei Yang, Hamido Fujita, & Suping Xu. (2021). Robust supervised rough granular description model with the principle of justifiable granularity. Applied Soft Computing. 110. 107612–107612. 38 indexed citations

Zhou, Yujie, et al.. (2021). Attribute-driven image captioning via soft-switch pointer. Pattern Recognition Letters. 152. 34–41. 10 indexed citations

Xu, Suping, et al.. (2021). Research on Comprehensive Evaluation of Data Source Quality in Big Data Environment. International Journal of Computational Intelligence Systems. 14(1). 1831–1831. 2 indexed citations

10.

Liu, Keyu, et al.. (2021). Triple-G: a new MGRS and attribute reduction. International Journal of Machine Learning and Cybernetics. 13(2). 337–356. 19 indexed citations

11.

Xu, Suping, et al.. (2020). Label distribution learning: A local collaborative mechanism. International Journal of Approximate Reasoning. 121. 59–84. 32 indexed citations

12.

Xu, Suping, Lin Shang, & Furao Shen. (2019). Latent Semantics Encoding for Label Distribution Learning. 3982–3988. 13 indexed citations

13.

Yang, Xibei, et al.. (2016). Multigranulation rough set: A multiset based strategy. International Journal of Computational Intelligence Systems. 10(1). 277–277. 23 indexed citations

14.

Xu, Suping, et al.. (2016). Neighborhood collaborative classifiers. 11 indexed citations

15.

Xu, Suping, Xibei Yang, Hualong Yu, et al.. (2016). Multi-label learning with label-specific feature reduction. Knowledge-Based Systems. 104. 52–61. 131 indexed citations

16.

Xu, Suping, Xibei Yang, Xiaoning Song, & Hualong Yu. (2015). Prediction of protein structural classes by decreasing nearest neighbor error rate. 7–13. 4 indexed citations

17.

Su, Songzhi, Zhihui Liu, Suping Xu, Shaozi Li, & Rongrong Ji. (2014). Sparse auto-encoder based feature learning for human body detection in depth image. Signal Processing. 112. 43–52. 44 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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