Shujun Wang

3.6k total citations
30 papers, 694 citations indexed

About

Shujun Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shujun Wang has authored 30 papers receiving a total of 694 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Artificial Intelligence and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shujun Wang's work include Medical Image Segmentation Techniques (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and AI in cancer detection (4 papers). Shujun Wang is often cited by papers focused on Medical Image Segmentation Techniques (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and AI in cancer detection (4 papers). Shujun Wang collaborates with scholars based in China, Hong Kong and United States. Shujun Wang's co-authors include Lequan Yu, Pheng‐Ann Heng, Chi‐Wing Fu, Xin Yang, Kang Li, Yaxi Zhu, Huangjing Lin, Xiang‐Bo Wan, Hao Chen and Xinjuan Fan and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Frontiers in Immunology.

In The Last Decade

Shujun Wang

25 papers receiving 682 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shujun Wang China 10 407 306 263 133 103 30 694
Carson Lam United States 13 606 1.5× 275 0.9× 179 0.7× 290 2.2× 55 0.5× 25 1.1k
Sertan Serte Cyprus 15 733 1.8× 447 1.5× 263 1.0× 139 1.0× 53 0.5× 36 1.0k
Balázs Harangi Hungary 14 469 1.2× 367 1.2× 331 1.3× 301 2.3× 58 0.6× 51 948
Neil Joshi United States 13 886 2.2× 197 0.6× 230 0.9× 668 5.0× 102 1.0× 24 1.2k
Jixiang Guo China 17 534 1.3× 235 0.8× 258 1.0× 108 0.8× 164 1.6× 72 999
Rahil Garnavi Australia 20 558 1.4× 486 1.6× 454 1.7× 319 2.4× 283 2.7× 52 1.4k
Jyoti Kini India 16 326 0.8× 495 1.6× 279 1.1× 14 0.1× 75 0.7× 69 828
Adrián Colomer Spain 16 440 1.1× 323 1.1× 293 1.1× 226 1.7× 100 1.0× 56 796
Peng Tang China 11 112 0.3× 283 0.9× 156 0.6× 31 0.2× 38 0.4× 22 593

Countries citing papers authored by Shujun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shujun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shujun Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shujun Wang. A scholar is included among the top collaborators of Shujun 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 Shujun Wang. Shujun 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.
Du, Ye, et al.. (2025). Medical Knowledge Intervention Prompt Tuning for Medical Image Classification. IEEE Transactions on Medical Imaging. 44(12). 4945–4959.
2.
Chen, Qi, et al.. (2025). MMR-Mamba: Multi-modal MRI reconstruction with Mamba and spatial-frequency information fusion. Medical Image Analysis. 102. 103549–103549. 5 indexed citations
3.
Zhang, Qin, Jiaxiang Yan, Shujun Wang, et al.. (2025). A buoyant plasmonic microbubble-based SERS sensing platform for amyloid-beta protein detection in Alzheimer's disease. Journal of Materials Chemistry B. 13(29). 8883–8896. 1 indexed citations
4.
5.
Li, Yong, Ping Ji, Huiyu Wang, et al.. (2025). Plasma dynamic metabolomics during anti-tuberculosis treatment identifies an amino acid panel with diagnostic potential. SHILAP Revista de lepidopterología. 2(1). 100059–100059. 2 indexed citations
6.
7.
Yang, Zhihan, Ye Du, Yongping Zheng, et al.. (2025). ADFound: A Foundation Model for Diagnosis and Prognosis of Alzheimer’s Disease. IEEE Journal of Biomedical and Health Informatics. 29(11). 8395–8408.
8.
Deng, Zhongying, et al.. (2024). TrafficCAM: A Versatile Dataset for Traffic Flow Segmentation. IEEE Transactions on Intelligent Transportation Systems. 26(2). 2747–2759. 1 indexed citations
9.
Deng, Zhongying, Shujun Wang, Dongdong Chen, et al.. (2024). TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 1265–1273.
10.
Zhao, Xingwang, Shujun Wang, Xiaolin Liu, & Jiye Liang. (2024). Multi-view clustering via dynamic unified bipartite graph learning. Pattern Recognition. 156. 110715–110715. 9 indexed citations
11.
12.
Wang, Shujun, et al.. (2023). MulGT: Multi-Task Graph-Transformer with Task-Aware Knowledge Injection and Domain Knowledge-Driven Pooling for Whole Slide Image Analysis. Proceedings of the AAAI Conference on Artificial Intelligence. 37(3). 3606–3614. 3 indexed citations
13.
Yang, Yijun, Shujun Wang, Lei Zhu, & Lequan Yu. (2022). Hcdg: A Hierarchical Consistency Framework for Domain Generalization on Medical Image Segmentation. SSRN Electronic Journal. 5 indexed citations
14.
Wang, Shujun, Lequan Yu, Kang Li, et al.. (2020). DoFE: Domain-Oriented Feature Embedding for Generalizable Fundus Image Segmentation on Unseen Datasets. IEEE Transactions on Medical Imaging. 39(12). 4237–4248. 107 indexed citations
15.
Wang, Shujun, Lequan Yu, Xin Yang, Chi‐Wing Fu, & Pheng‐Ann Heng. (2019). Patch-Based Output Space Adversarial Learning for Joint Optic Disc and Cup Segmentation. IEEE Transactions on Medical Imaging. 38(11). 2485–2495. 199 indexed citations
16.
Wang, Shujun, Yaxi Zhu, Lequan Yu, et al.. (2019). RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification. Medical Image Analysis. 58. 101549–101549. 137 indexed citations
17.
Liu, Ying, Ping Ji, Shujun Wang, et al.. (2017). Identification of mycobacterial bacterioferritin B for immune screening of tuberculosis and latent tuberculosis infection. Tuberculosis. 107. 119–125. 7 indexed citations
18.
Li, Juan, Cheng Yang, Wenjuan Xie, et al.. (2017). Predictive role of corneal Q-value differences between nasal–temporal and superior–inferior quadrants in orthokeratology lens decentration. Medicine. 96(2). e5837–e5837. 21 indexed citations
19.
Chen, Yingying, Ping Ji, Yong Li, et al.. (2017). Determination of Lipoprotein Z-Specific IgA in Tuberculosis and Latent Tuberculosis Infection. Frontiers in Cellular and Infection Microbiology. 7. 495–495. 9 indexed citations
20.
Wang, Shujun. (2004). Application of RS encoding and decoding method in tactical data link. Applied science and technology. 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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