Shitong Wang

9.2k total citations
406 papers, 6.9k citations indexed

About

Shitong Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Shitong Wang has authored 406 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 253 papers in Artificial Intelligence, 179 papers in Computer Vision and Pattern Recognition and 57 papers in Control and Systems Engineering. Recurrent topics in Shitong Wang's work include Face and Expression Recognition (134 papers), Neural Networks and Applications (78 papers) and Fuzzy Logic and Control Systems (62 papers). Shitong Wang is often cited by papers focused on Face and Expression Recognition (134 papers), Neural Networks and Applications (78 papers) and Fuzzy Logic and Control Systems (62 papers). Shitong Wang collaborates with scholars based in China, Hong Kong and United States. Shitong Wang's co-authors include Fu-Lai Chung, Zhaohong Deng, Kup‐Sze Choi, Jun Wang, Yizhang Jiang, Pengjiang Qian, Hisao Ishibuchi, Yizhang Jiang, Yuanpeng Zhang and Lin Zhu and has published in prestigious journals such as Bioinformatics, The Science of The Total Environment and Journal of Agricultural and Food Chemistry.

In The Last Decade

Shitong Wang

369 papers receiving 6.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shitong Wang China 44 3.9k 2.4k 862 580 526 406 6.9k
Shiliang Sun China 43 3.7k 1.0× 2.7k 1.1× 582 0.7× 747 1.3× 598 1.1× 197 7.2k
Jun Wang China 37 2.5k 0.6× 1.9k 0.8× 815 0.9× 514 0.9× 290 0.6× 327 6.5k
Fu-Lai Chung Hong Kong 43 3.6k 0.9× 2.1k 0.9× 421 0.5× 901 1.6× 416 0.8× 248 6.1k
Adel M. Alimi Tunisia 40 3.1k 0.8× 3.3k 1.4× 777 0.9× 564 1.0× 885 1.7× 643 8.3k
Mika Sirén Germany 12 2.4k 0.6× 2.8k 1.2× 357 0.4× 776 1.3× 576 1.1× 17 5.9k
Vladimir Cherkassky United States 30 2.5k 0.6× 1.3k 0.5× 697 0.8× 587 1.0× 274 0.5× 128 6.9k
Fuhui Long United States 20 3.0k 0.8× 2.4k 1.0× 789 0.9× 652 1.1× 746 1.4× 31 9.5k
Chen Ding China 20 3.4k 0.9× 2.4k 1.0× 658 0.8× 806 1.4× 535 1.0× 125 9.0k
M. Tanveer India 38 2.5k 0.6× 1.9k 0.8× 539 0.6× 464 0.8× 216 0.4× 185 5.0k
Barbara Hammer Germany 35 3.0k 0.8× 1.5k 0.6× 310 0.4× 489 0.8× 305 0.6× 347 4.9k

Countries citing papers authored by Shitong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shitong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shitong Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shitong Wang. A scholar is included among the top collaborators of Shitong 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 Shitong Wang. Shitong 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.
Tan, Chengjun, et al.. (2025). DTS-MixNet: Dynamic Spatiotemporal Graph Mixed Network for Anomaly Detection in Multivariate Time Series. Big Data and Cognitive Computing. 9(10). 245–245.
2.
Lu, Hu, et al.. (2025). Local-Aware Residual Attention Vision Transformer for Visible-Infrared Person Re-Identification. ACM Transactions on Multimedia Computing Communications and Applications. 21(5). 1–24. 2 indexed citations
3.
Ning, Xin, Pengjiang Qian, Wenjun Hu, et al.. (2025). Distribution entropy regularized multimodal subspace support vector data description for anomaly detection. Pattern Recognition. 172. 112478–112478.
4.
Cheng, Ke, et al.. (2024). MSCMNet: Multi-scale Semantic Correlation Mining for Visible-Infrared Person Re-Identification. Pattern Recognition. 159. 111090–111090. 10 indexed citations
5.
Liu, Liu, Shitong Wang, Sichen Wang, et al.. (2024). Empagliflozin alleviates neuroinflammation by inhibiting astrocyte activation in the brain and regulating gut microbiota of high-fat diet mice. Journal of Affective Disorders. 360. 229–241. 7 indexed citations
6.
Zhou, Jie, et al.. (2023). Weighted adaptively ensemble clustering method based on fuzzy Co-association matrix. Information Fusion. 103. 102099–102099. 8 indexed citations
7.
Zhang, Jin, et al.. (2023). Hybrid-ensemble-based interpretable TSK fuzzy classifier for imbalanced data. Information Fusion. 98. 101845–101845. 9 indexed citations
8.
Chung, Fu-Lai, et al.. (2023). Fuzzy style flat-based clustering. Information Sciences. 644. 119321–119321. 3 indexed citations
10.
Pan, Xiaoyong, Hong‐Bin Shen, Kup‐Sze Choi, et al.. (2022). MDGF-MCEC: a multi-view dual attention embedding model with cooperative ensemble learning for CircRNA-disease association prediction. Briefings in Bioinformatics. 23(5). 14 indexed citations
11.
Pan, Xiaoyong, Hong‐Bin Shen, Kup‐Sze Choi, et al.. (2021). circRNA-binding protein site prediction based on multi-view deep learning, subspace learning and multi-view classifier. Briefings in Bioinformatics. 23(1). 20 indexed citations
12.
Wang, Shitong. (2013). Multi-classification method applied to face recognition based on mixed Gaussian distribution. Jisuanji yingyong yanjiu. 1 indexed citations
13.
Deng, Zhaohong, Fu-Lai Chung, & Shitong Wang. (2011). Clustering-Inverse: A Generalized Model for Pattern-Based Time Series Segmentation. 3(1). 26–36. 5 indexed citations
14.
Wang, Shitong. (2011). Improved fuzzy C-means clustering algorithm. Computer Engineering and Applications Journal.
15.
Wang, Shitong. (2009). Clustering with outliers-based anomalous intrusion detection. Systems engineering and electronics. 2 indexed citations
16.
Wang, Shitong. (2008). Fuzzy Clustering Algorithm for Categorical Data Using Quantum Mechanics. Jisuanji fangzhen. 2 indexed citations
17.
Wang, Shitong. (2007). Combined unsupervised image segmentation using watershed and hierarchical clustering with MRF. Journal of Computer Applications. 1 indexed citations
18.
Wang, Shitong. (2007). Model of Chinese words rough segmentation based on bi-gram and N-most-probability method. Journal of Computer Applications.
19.
Wang, Shitong. (2007). Improved Algorithm of Quantum Clustering. Jisuanji gongcheng. 7 indexed citations
20.
Wang, Shitong. (2006). Application of MAP estimation based on Gaussian Markov random field in gaussian noise filter. Journal of Computer Applications. 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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