Changzhong Wang

5.3k total citations · 2 hit papers
194 papers, 4.1k citations indexed

About

Changzhong Wang is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Changzhong Wang has authored 194 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Computational Theory and Mathematics, 44 papers in Artificial Intelligence and 40 papers in Molecular Biology. Recurrent topics in Changzhong Wang's work include Rough Sets and Fuzzy Logic (63 papers), Data Mining Algorithms and Applications (34 papers) and Antifungal resistance and susceptibility (28 papers). Changzhong Wang is often cited by papers focused on Rough Sets and Fuzzy Logic (63 papers), Data Mining Algorithms and Applications (34 papers) and Antifungal resistance and susceptibility (28 papers). Changzhong Wang collaborates with scholars based in China, Germany and United States. Changzhong Wang's co-authors include Degang Chen, Qinghua Hu, Mingwen Shao, Yuhua Qian, Yang Huang, Xiaodong Fan, Jing Shao, Daqiang Wu, Weiping Ding and Yali Qi and has published in prestigious journals such as Chemical Communications, Journal of Bacteriology and Construction and Building Materials.

In The Last Decade

Changzhong Wang

181 papers receiving 4.1k citations

Hit Papers

A Fitting Model for Feature Selection With Fuzzy Rough Sets 2016 2026 2019 2022 2016 2024 50 100 150 200

Peers

Changzhong Wang
Wei Fang China
Yu Jiang China
Lin Sun China
Suvajyoti Guha United States
Jaume Bacardit United Kingdom
Chee Keong Kwoh Singapore
Changzhong Wang
Citations per year, relative to Changzhong Wang Changzhong Wang (= 1×) peers Jianjun Qi

Countries citing papers authored by Changzhong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Changzhong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changzhong Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Changzhong Wang. A scholar is included among the top collaborators of Changzhong Wang 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 Changzhong Wang. Changzhong Wang 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.
Wang, Changzhong, et al.. (2025). Vision Transformer with window sequence merging mechanism for image classification. Applied Soft Computing. 171. 112811–112811. 3 indexed citations
2.
Wang, Yan, et al.. (2025). Multi-label feature selection via nonlinear mapping and manifold regularization. Information Sciences. 704. 121965–121965. 1 indexed citations
3.
Cui, Xinyu, Changzhong Wang, Shuang An, & Yuhua Qian. (2024). Adaptive fuzzy neighborhood decision tree. Applied Soft Computing. 167. 112435–112435. 5 indexed citations
4.
An, Shuang, et al.. (2024). A locally distributed rough set model for feature selection and prototype learning. Fuzzy Sets and Systems. 498. 109137–109137. 2 indexed citations
5.
Yang, Taoli, Changzhong Wang, Yiying Chen, & Tingquan Deng. (2024). A robust multi-label feature selection based on label significance and fuzzy entropy. International Journal of Approximate Reasoning. 176. 109310–109310. 7 indexed citations
6.
Hu, Mengxue, Feng Jin, Jing Shao, et al.. (2024). Sodium houttuyfonate induces bacterial lipopolysaccharide shedding to promote macrophage M1 polarization against acute bacterial lung infection. Biomedicine & Pharmacotherapy. 179. 117358–117358. 3 indexed citations
7.
Wang, Changzhong, et al.. (2024). Multi-label feature selection based on nonlinear mapping. Information Sciences. 680. 121168–121168. 4 indexed citations
8.
Zhang, Ping, Xiaojuan Jiang, Gaoxiang Shi, et al.. (2024). Effect of the Pulsatilla decoction n-butanol extract on vulvovaginal candidiasis caused by Candida glabrata and on its virulence factors. Fitoterapia. 173. 105825–105825. 3 indexed citations
9.
Jiang, Xiaojuan, Ping Zhang, Dan Xia, et al.. (2024). Effect of Pulsatilla decoction on vulvovaginal candidiasis in mice. Evidences for its mechanisms of action. Phytomedicine. 128. 155515–155515. 3 indexed citations
10.
An, Shuang, Yanan Zhang, & Changzhong Wang. (2024). Relative neighborhood rough feature selection and robust classification for multi-density data. Pattern Recognition. 161. 111303–111303. 2 indexed citations
11.
Li, Can, Wei Qiu, Daqiang Wu, et al.. (2024). Transcriptomics analysis reveals the effect of Pulsatilla decoction butanol extract on endoplasmic reticulum and peroxisome function of Candida albicans in hyphal state. Journal of Ethnopharmacology. 337(Pt 1). 118826–118826. 2 indexed citations
12.
Wang, Yibin, Hui Wu, Juan Sun, et al.. (2024). Effects of the N-Butanol Extract of Pulsatilla Decoction on Neutrophils in a Mouse Model of Ulcerative Colitis. Pharmaceuticals. 17(8). 1077–1077. 2 indexed citations
13.
Zhang, Yang, et al.. (2024). Adaptive Relative Fuzzy Rough Learning for Classification. IEEE Transactions on Fuzzy Systems. 32(11). 6267–6276. 12 indexed citations
14.
Wang, Jianan, Changzhong Wang, Weiping Ding, & Cheng Li. (2024). YOlOv5s-ACE: Forest Fire Object Detection Algorithm Based on Improved YOLOv5s. Fire Technology. 60(6). 4023–4043. 5 indexed citations
15.
An, Shuang, Mengru Zhang, Changzhong Wang, & Weiping Ding. (2023). Robust fuzzy rough approximations with kNN granules for semi-supervised feature selection. Fuzzy Sets and Systems. 461. 108476–108476. 33 indexed citations
16.
Feng, Xin, Hao Zhang, Gaoxiang Shi, et al.. (2023). Longdan Xiegan decoction ameliorates vulvovaginal candidiasis by inhibiting the NLRP3 inflammasome via the Toll-like receptor /MyD88 pathway. Journal of Ethnopharmacology. 318(Pt A). 116869–116869. 8 indexed citations
17.
Wang, Changzhong, et al.. (2023). Missing multi-label learning based on the fusion of two-level nonlinear mappings. Information Fusion. 103. 102105–102105. 15 indexed citations
18.
Ma, Kelong, Zhijun Han, Min Pan, et al.. (2020). [Therapeutic effect of cinnamaldehyde on ulcerative colitis in mice induced by dextran sulfate sodium with Candida albicans colonization and its effect on dectin-1/TLRs/NF-κB signaling pathway].. China Journal of Chinese Materia Medica. 45(13). 3211–3219. 2 indexed citations
19.
Wang, Changzhong, Yang Huang, Mingwen Shao, Qinghua Hu, & Degang Chen. (2019). Feature Selection Based on Neighborhood Self-Information. IEEE Transactions on Cybernetics. 50(9). 4031–4042. 213 indexed citations
20.
Guan, Yan, et al.. (2010). Inhibitory activity of Phillyrin and Baicalin against Staphylococcus epidermidis biofilm.. Zhongguo weishengtaixue zazhi. 22(10). 886–893. 1 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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