Weihua Xu

6.2k total citations · 1 hit paper
185 papers, 4.8k citations indexed

About

Weihua Xu is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Information Systems. According to data from OpenAlex, Weihua Xu has authored 185 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 160 papers in Computational Theory and Mathematics, 87 papers in Artificial Intelligence and 67 papers in Information Systems. Recurrent topics in Weihua Xu's work include Rough Sets and Fuzzy Logic (158 papers), Data Mining Algorithms and Applications (65 papers) and Multi-Criteria Decision Making (43 papers). Weihua Xu is often cited by papers focused on Rough Sets and Fuzzy Logic (158 papers), Data Mining Algorithms and Applications (65 papers) and Multi-Criteria Decision Making (43 papers). Weihua Xu collaborates with scholars based in China, Macao and Canada. Weihua Xu's co-authors include Wentao Li, Wen‐Xiu Zhang, Xiaoyan Zhang, Yanting Guo, Jianhang Yu, Yuhua Qian, Weiping Ding, Eric C.C. Tsang, Binbin Sang and Qiaorong Wang and has published in prestigious journals such as IEEE Transactions on Power Systems, Expert Systems with Applications and Pattern Recognition.

In The Last Decade

Weihua Xu

177 papers receiving 4.7k citations

Hit Papers

Granular Computing Approach to Two-Way Learning Based on ... 2014 2026 2018 2022 2014 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Granular Computing Approach to Two-Way Learning Based on Formal Concept Analysis in Fuzzy Datasets
    2014 241 citations Weihua Xu, Wentao Li profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weihua Xu China 38 3.8k 2.2k 1.7k 1.2k 833 185 4.8k
William Zhu China 33 3.7k 1.0× 2.2k 1.0× 1.6k 1.0× 872 0.7× 1.0k 1.3× 176 5.4k
Xibei Yang China 38 3.1k 0.8× 2.1k 0.9× 1.6k 0.9× 978 0.8× 716 0.9× 192 4.4k
Eric C.C. Tsang China 37 3.1k 0.8× 2.3k 1.0× 1.5k 0.9× 1.3k 1.0× 743 0.9× 160 4.7k
Degang Chen China 46 6.3k 1.7× 3.4k 1.5× 3.2k 1.9× 2.2k 1.7× 1.1k 1.3× 184 7.5k
JingTao Yao Canada 29 1.4k 0.4× 1.2k 0.6× 714 0.4× 722 0.6× 252 0.3× 133 4.7k
Xianzhong Zhou China 27 1.6k 0.4× 922 0.4× 641 0.4× 1.0k 0.8× 250 0.3× 132 2.5k
Pawan Lingras Canada 28 1.1k 0.3× 975 0.4× 771 0.5× 339 0.3× 263 0.3× 121 2.5k
Miqing Li United Kingdom 31 3.8k 1.0× 3.6k 1.6× 771 0.5× 977 0.8× 168 0.2× 105 5.5k
Xin Yang China 25 934 0.2× 1.1k 0.5× 512 0.3× 326 0.3× 1.1k 1.3× 88 2.8k
Yaojin Lin China 32 1.4k 0.4× 2.2k 1.0× 1.1k 0.7× 227 0.2× 1.5k 1.8× 102 3.3k

Countries citing papers authored by Weihua Xu

Since Specialization
Citations

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

Fields of papers citing papers by Weihua Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weihua Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Weihua Xu. A scholar is included among the top collaborators of Weihua 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 Weihua Xu. Weihua Xu 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.
Li, Jin, et al.. (2025). Binary relations-preserving incremental pseudo-equiconcept reduction for symmetric formal context. Expert Systems with Applications. 276. 127086–127086.
2.
Xu, Weihua, et al.. (2025). Multi-label feature selection for imbalanced data via KNN-based multi-label rough set theory. Information Sciences. 715. 122220–122220. 3 indexed citations
3.
Cui, Shaoguo, et al.. (2024). Distance metric learning-based multi-granularity neighborhood rough sets for attribute reduction. Applied Soft Computing. 159. 111656–111656. 6 indexed citations
4.
Liu, Shihu, et al.. (2024). Similarity Measurement for Graph Data: An Improved Centrality and Geometric Perspective-Based Approach. Big Data Research. 36. 100462–100462. 1 indexed citations
5.
Deng, Tingquan, et al.. (2024). Three-way concept lattice from adjunctive positive and negative concepts. International Journal of Approximate Reasoning. 174. 109272–109272. 3 indexed citations
6.
Xu, Weihua, et al.. (2024). Matrix-based incremental feature selection method using weight-partitioned multigranulation rough set. Information Sciences. 681. 121219–121219. 2 indexed citations
7.
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
8.
Wang, Wanting, et al.. (2024). A method of data analysis based on division-mining-fusion strategy. Information Sciences. 666. 120450–120450. 3 indexed citations
9.
Tsang, Eric C.C., et al.. (2024). Correlation concept-cognitive learning model for multi-label classification. Knowledge-Based Systems. 290. 111566–111566. 15 indexed citations
10.
Xu, Weihua, et al.. (2024). A Novel Unsupervised Feature Selection for High-Dimensional Data Based on FCM and k-Nearest Neighbor Rough Sets. IEEE Transactions on Neural Networks and Learning Systems. 36(6). 10889–10898. 11 indexed citations
11.
Zhang, Chengling, et al.. (2023). Dynamic updating variable precision three-way concept method based on two-way concept-cognitive learning in fuzzy formal contexts. Information Sciences. 655. 119818–119818. 14 indexed citations
12.
Xu, Weihua, et al.. (2023). A novel information fusion method using improved entropy measure in multi-source incomplete interval-valued datasets. International Journal of Approximate Reasoning. 164. 109081–109081. 13 indexed citations
13.
Guo, Doudou & Weihua Xu. (2023). Fuzzy-based concept-cognitive learning: An investigation of novel approach to tumor diagnosis analysis. Information Sciences. 639. 118998–118998. 34 indexed citations
14.
Deng, Tingquan, et al.. (2023). Adjunctive three-way concepts from positive and negative concepts in lattice-valued formal contexts. International Journal of Approximate Reasoning. 161. 108989–108989. 3 indexed citations
15.
Guo, Doudou, Weihua Xu, Yuhua Qian, & Weiping Ding. (2023). M-FCCL: Memory-based concept-cognitive learning for dynamic fuzzy data classification and knowledge fusion. Information Fusion. 100. 101962–101962. 56 indexed citations
16.
Li, Wentao, Weihua Xu, Witold Pedrycz, et al.. (2022). Feature Selection Approach Based on Improved Fuzzy C-Means With Principle of Refined Justifiable Granularity. IEEE Transactions on Fuzzy Systems. 31(7). 2112–2126. 44 indexed citations
17.
Sang, Binbin, Hongmei Chen, Lei Yang, et al.. (2021). Feature selection for dynamic interval-valued ordered data based on fuzzy dominance neighborhood rough set. Knowledge-Based Systems. 227. 107223–107223. 47 indexed citations
18.
Sang, Binbin, Hongmei Chen, Lei Yang, Tianrui Li, & Weihua Xu. (2021). Incremental Feature Selection Using a Conditional Entropy Based on Fuzzy Dominance Neighborhood Rough Sets. IEEE Transactions on Fuzzy Systems. 30(6). 1683–1697. 95 indexed citations
19.
Zhang, Xiaoyan & Weihua Xu. (2011). Lower Approximation Reduction in Ordered Information System with Fuzzy Decision. Applied Mathematics. 2(7). 918–921. 5 indexed citations
20.
Xu, Weihua. (2007). Cognitive Model Based on Granular Computing. Gongcheng shuxue xuebao. 21 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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