Sutong Wang

945 total citations
29 papers, 637 citations indexed

About

Sutong Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Automotive Engineering. According to data from OpenAlex, Sutong Wang has authored 29 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 3 papers in Automotive Engineering. Recurrent topics in Sutong Wang's work include Synthetic Aperture Radar (SAR) Applications and Techniques (3 papers), Topic Modeling (2 papers) and Colorectal Cancer Screening and Detection (2 papers). Sutong Wang is often cited by papers focused on Synthetic Aperture Radar (SAR) Applications and Techniques (3 papers), Topic Modeling (2 papers) and Colorectal Cancer Screening and Detection (2 papers). Sutong Wang collaborates with scholars based in China, United Kingdom and Hong Kong. Sutong Wang's co-authors include Dujuan Wang, Yanzhang Wang, Yunqiang Yin, Yaochu Jin, Yuyan Wang, T.C.E. Cheng, Joshua Ignatius, Yujie Han, Lin Yang and Dongwei Li and has published in prestigious journals such as Journal of Hazardous Materials, European Journal of Operational Research and Cerebral Cortex.

In The Last Decade

Sutong Wang

26 papers receiving 616 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sutong Wang China 14 184 86 81 72 64 29 637
Jingyang Wang China 17 212 1.2× 231 2.7× 39 0.5× 31 0.4× 33 0.5× 89 1.7k
Lei Fan China 17 132 0.7× 89 1.0× 44 0.5× 42 0.6× 24 0.4× 69 851
Jia Guo China 18 136 0.7× 58 0.7× 60 0.7× 32 0.4× 16 0.3× 111 848
Xia Fang China 17 53 0.3× 94 1.1× 79 1.0× 12 0.2× 35 0.5× 82 898
Bhushankumar Nemade India 10 195 1.1× 24 0.3× 32 0.4× 55 0.8× 16 0.3× 27 808
Adi Wibowo Indonesia 14 302 1.6× 29 0.3× 15 0.2× 34 0.5× 63 1.0× 94 683
Ali Yaşar Türkiye 15 222 1.2× 58 0.7× 26 0.3× 36 0.5× 19 0.3× 36 732
Radomír Goňo Czechia 17 243 1.3× 11 0.1× 24 0.3× 63 0.9× 55 0.9× 86 1.1k
Taoying Li China 13 167 0.9× 52 0.6× 31 0.4× 42 0.6× 7 0.1× 54 683
Himanshu Agrawal India 15 150 0.8× 137 1.6× 19 0.2× 26 0.4× 8 0.1× 80 863

Countries citing papers authored by Sutong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Sutong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sutong Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Sutong Wang. A scholar is included among the top collaborators of Sutong 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 Sutong Wang. Sutong 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, Dujuan, et al.. (2025). SMR-agents: Synergistic medical reasoning agents for zero-shot medical visual question answering with MLLMs. Information Processing & Management. 63(1). 104297–104297.
2.
3.
Wang, Sutong, Yaqing Li, Yutao Tian, et al.. (2024). Ultrasound Stimulation Attenuates CRS-Induced Depressive Behavior by Modulating Dopamine Release in the Prefrontal Cortex. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 32. 1314–1323. 9 indexed citations
4.
Wang, Sutong, et al.. (2024). Thresholding of Polarimetric SAR Images of Coastal Zones Based on Three-Component Decomposition and Likelihood Ratio. IEEE Geoscience and Remote Sensing Letters. 21. 1–5. 1 indexed citations
5.
Wang, Sutong, et al.. (2023). A novel clustering-based resampling with cost-sensitive boosting method to model and map wildfire susceptibility. Reliability Engineering & System Safety. 242. 109742–109742. 5 indexed citations
6.
Wang, Faqi, Qiuquan Cai, Sutong Wang, et al.. (2023). Low-intensity focused ultrasound ameliorates depression-like behaviors associated with improving the synaptic plasticity in the vCA1-mPFC pathway. Cerebral Cortex. 33(12). 8024–8034. 14 indexed citations
7.
Wang, Sutong, et al.. (2023). Expanded feature space-based gradient boosting ensemble learning for risk prediction of type 2 diabetes complications. Applied Soft Computing. 144. 110451–110451. 10 indexed citations
8.
Li, Ting, et al.. (2023). Genetic variation of E6 and E7 genes of human papillomavirus type 16 from central China. Virology Journal. 20(1). 217–217. 4 indexed citations
9.
10.
Zhang, Chunlin, et al.. (2023). Association of TLR4 and TLR9 gene polymorphisms with cervical HR-HPV infection status in Chinese Han population. BMC Infectious Diseases. 23(1). 152–152. 7 indexed citations
11.
Liu, Chun, Sutong Wang, & Jian Yang. (2023). Context Feature Based Bridge Detection for Polarimetric SAR Images.
12.
Wang, Dujuan, Xinwei Wang, Sutong Wang, & Yunqiang Yin. (2022). Explainable Multitask Shapley Explanation Networks for Real-Time Polyp Diagnosis in Videos. IEEE Transactions on Industrial Informatics. 19(6). 7780–7789. 9 indexed citations
13.
Wang, Sutong, et al.. (2022). Interpretable boosting tree ensemble method for multisource building fire loss prediction. Reliability Engineering & System Safety. 225. 108587–108587. 19 indexed citations
14.
Cui, Shaoze, et al.. (2021). Two-stage stacking heterogeneous ensemble learning method for gasoline octane number loss prediction. Applied Soft Computing. 113. 107989–107989. 18 indexed citations
15.
Wang, Sutong, et al.. (2021). Interpretable Multi-Modal Stacking-Based Ensemble Learning Method for Real Estate Appraisal. IEEE Transactions on Multimedia. 25. 315–328. 11 indexed citations
16.
Wang, Sutong, Yunqiang Yin, Dujuan Wang, Yanzhang Wang, & Yaochu Jin. (2021). Interpretability-Based Multimodal Convolutional Neural Networks for Skin Lesion Diagnosis. IEEE Transactions on Cybernetics. 52(12). 12623–12637. 76 indexed citations
17.
Yang, Lin, Ying Wei, Na Li, et al.. (2019). Declined cadmium accumulation in Na+/H+ antiporter (NHX1) transgenic duckweed under cadmium stress. Ecotoxicology and Environmental Safety. 182. 109397–109397. 20 indexed citations
18.
Zuo, Zhaojiang, et al.. (2018). Effects of nitrogen nutrients on the volatile organic compound emissions from Microcystis aeruginosa. Ecotoxicology and Environmental Safety. 161. 214–220. 36 indexed citations
19.
Yang, Lin, Yujie Han, Yong Wang, et al.. (2017). Salt and cadmium stress tolerance caused by overexpression of the Glycine Max Na+/H+ Antiporter (GmNHX1) gene in duckweed (Lemna turionifera 5511). Aquatic Toxicology. 192. 127–135. 46 indexed citations
20.
Wan, Daiwei, Shunli Shen, Shunjun Fu, et al.. (2016). miR-203 Suppresses the Proliferation and Metastasis of Hepatocellular Carcinoma by Targeting Oncogene ADAM9 and Oncogenic Long Non-coding RNA HULC. Anti-Cancer Agents in Medicinal Chemistry. 16(4). 414–423. 43 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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