Jihong Wan

1.1k total citations
37 papers, 773 citations indexed

About

Jihong Wan is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems. According to data from OpenAlex, Jihong Wan has authored 37 papers receiving a total of 773 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 19 papers in Computational Theory and Mathematics and 14 papers in Information Systems. Recurrent topics in Jihong Wan's work include Rough Sets and Fuzzy Logic (19 papers), Text and Document Classification Technologies (13 papers) and Data Mining Algorithms and Applications (11 papers). Jihong Wan is often cited by papers focused on Rough Sets and Fuzzy Logic (19 papers), Text and Document Classification Technologies (13 papers) and Data Mining Algorithms and Applications (11 papers). Jihong Wan collaborates with scholars based in China, Hong Kong and Canada. Jihong Wan's co-authors include Tianrui Li, Hongmei Chen, Zhong Yuan, Binbin Sang, Hongmei Chen, Xiaoling Yang, Wei Huang, Jia Liu, Pengfei Zhang and Shi‐Jinn Horng and has published in prestigious journals such as The Journal of Chemical Physics, The Journal of Physical Chemistry C and Pattern Recognition.

In The Last Decade

Jihong Wan

32 papers receiving 762 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jihong Wan China 17 494 373 252 217 53 37 773
Xiaolong Teng China 5 436 0.9× 239 0.6× 347 1.4× 152 0.7× 30 0.6× 5 884
Keyu Liu China 19 728 1.5× 833 2.2× 314 1.2× 467 2.2× 120 2.3× 53 1.1k
Yuanjian Zhang China 10 285 0.6× 191 0.5× 89 0.4× 170 0.8× 53 1.0× 39 566
Chun-Ru Dong China 8 394 0.8× 137 0.4× 164 0.7× 101 0.5× 99 1.9× 31 644
Lixin Ding China 14 325 0.7× 172 0.5× 101 0.4× 62 0.3× 41 0.8× 65 596
Hussein Almuallim Saudi Arabia 7 687 1.4× 162 0.4× 402 1.6× 254 1.2× 28 0.5× 19 1.1k
Jin-Seon Lee South Korea 4 469 0.9× 123 0.3× 227 0.9× 66 0.3× 23 0.4× 10 760
Tapio Elomaa Finland 12 375 0.8× 110 0.3× 97 0.4× 150 0.7× 38 0.7× 39 564
Javad Hamidzadeh Iran 15 418 0.8× 94 0.3× 137 0.5× 102 0.5× 27 0.5× 43 607

Countries citing papers authored by Jihong Wan

Since Specialization
Citations

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

Fields of papers citing papers by Jihong Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jihong Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Jihong Wan. A scholar is included among the top collaborators of Jihong Wan 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 Jihong Wan. Jihong Wan 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.
2.
Yin, Tengyu, Hongmei Chen, Jihong Wan, et al.. (2025). Leveraging Fuzzy Manifold Intra-Class Correlation and Inter-Class Separability for Online Multilabel Streaming Features Analysis. IEEE Transactions on Multimedia. 27. 6933–6948. 1 indexed citations
3.
4.
Yue, Yang, Jihong Wan, Xiaoping Li, et al.. (2025). Rational linear kernelized weighted fuzzy rough attribute selection with class separability. Fuzzy Sets and Systems. 521. 109600–109600.
5.
Yang, Xiaoling, Hongmei Chen, Tianrui Li, et al.. (2025). Adaptive feature selection with weighted fuzzy rough sets for noisy data. Fuzzy Sets and Systems. 518. 109499–109499. 3 indexed citations
6.
Huang, Wei, et al.. (2024). Multimodal federated learning: Concept, methods, applications and future directions. Information Fusion. 112. 102576–102576. 27 indexed citations
7.
Yang, Yan, et al.. (2023). Domain adversarial graph neural network with cross-city graph structure learning for traffic prediction. Knowledge-Based Systems. 278. 110885–110885. 22 indexed citations
8.
Chen, Hongmei, et al.. (2023). Multiscale Fuzzy Entropy-Based Feature Selection. IEEE Transactions on Fuzzy Systems. 31(9). 3248–3262. 20 indexed citations
9.
Chen, Hongmei, et al.. (2023). Fuzzy rough dimensionality reduction: A feature set partition-based approach. Information Sciences. 644. 119266–119266. 10 indexed citations
10.
Yin, Tengyu, Hongmei Chen, Zhong Yuan, et al.. (2023). A Robust Multilabel Feature Selection Approach Based on Graph Structure Considering Fuzzy Dependency and Feature Interaction. IEEE Transactions on Fuzzy Systems. 31(12). 4516–4528. 54 indexed citations
11.
Wang, Guoyin, et al.. (2023). Gaussian mixture model with local consistency: a hierarchical minimum message length-based approach. International Journal of Machine Learning and Cybernetics. 15(2). 283–302. 1 indexed citations
12.
Yin, Tengyu, Hongmei Chen, Jihong Wan, et al.. (2023). Exploiting feature multi-correlations for multilabel feature selection in robust multi-neighborhood fuzzy β covering space. Information Fusion. 104. 102150–102150. 50 indexed citations
13.
Sang, Binbin, et al.. (2022). Feature Selection Considering Multiple Correlations Based on Soft Fuzzy Dominance Rough Sets for Monotonic Classification. IEEE Transactions on Fuzzy Systems. 30(12). 5181–5195. 19 indexed citations
14.
Chen, Hongmei, et al.. (2022). Semi-supervised feature selection via adaptive structure learning and constrained graph learning. Knowledge-Based Systems. 251. 109243–109243. 31 indexed citations
15.
Wan, Jihong, Hongmei Chen, Tianrui Li, Binbin Sang, & Zhong Yuan. (2022). Feature Grouping and Selection With Graph Theory in Robust Fuzzy Rough Approximation Space. IEEE Transactions on Fuzzy Systems. 31(1). 213–225. 36 indexed citations
16.
Chen, Hao, et al.. (2022). Robust dual-graph regularized and minimum redundancy based on self-representation for semi-supervised feature selection. Neurocomputing. 490. 104–123. 10 indexed citations
17.
Yang, Xiaoling, Hongmei Chen, Tianrui Li, Jihong Wan, & Binbin Sang. (2021). Neighborhood rough sets with distance metric learning for feature selection. Knowledge-Based Systems. 224. 107076–107076. 59 indexed citations
18.
Wan, Jihong, Hongmei Chen, Zhong Yuan, et al.. (2021). A novel hybrid feature selection method considering feature interaction in neighborhood rough set. Knowledge-Based Systems. 227. 107167–107167. 74 indexed citations
19.
Huang, Wei, Jia Liu, Tianrui Li, et al.. (2021). FedDSR: Daily Schedule Recommendation in a Federated Deep Reinforcement Learning Framework. IEEE Transactions on Knowledge and Data Engineering. 35(4). 3912–3924. 30 indexed citations
20.
Yuan, Zhong, Hongmei Chen, Pengfei Zhang, Jihong Wan, & Tianrui Li. (2021). A Novel Unsupervised Approach to Heterogeneous Feature Selection Based on Fuzzy Mutual Information. IEEE Transactions on Fuzzy Systems. 30(9). 3395–3409. 57 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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