Jingyong Su

1.4k total citations
56 papers, 825 citations indexed

About

Jingyong Su is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Jingyong Su has authored 56 papers receiving a total of 825 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Vision and Pattern Recognition, 16 papers in Artificial Intelligence and 11 papers in Biomedical Engineering. Recurrent topics in Jingyong Su's work include Morphological variations and asymmetry (9 papers), Human Pose and Action Recognition (8 papers) and Face and Expression Recognition (7 papers). Jingyong Su is often cited by papers focused on Morphological variations and asymmetry (9 papers), Human Pose and Action Recognition (8 papers) and Face and Expression Recognition (7 papers). Jingyong Su collaborates with scholars based in China, United States and Hong Kong. Jingyong Su's co-authors include Anuj Srivastava, Boulbaba Ben Amor, Pavan Turaga, Rushil Anirudh, Zhe‐Ming Lu, Jeng‐Shyang Pan, Xiaolong Wang, Jiaya Jia, Xiaoyang Wu and Chengyao Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Medical Imaging.

In The Last Decade

Jingyong Su

51 papers receiving 796 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jingyong Su China 16 525 218 153 91 80 56 825
Hedi Tabia France 13 649 1.2× 164 0.8× 113 0.7× 106 1.2× 32 0.4× 42 788
Mathieu Aubry France 14 1.1k 2.1× 172 0.8× 158 1.0× 57 0.6× 20 0.3× 30 1.6k
Matt Feiszli Israel 10 698 1.3× 465 2.1× 91 0.6× 58 0.6× 36 0.5× 20 942
Sen Wang China 15 872 1.7× 124 0.6× 59 0.4× 60 0.7× 16 0.2× 63 1.2k
Avinash Ravichandran United States 11 831 1.6× 465 2.1× 118 0.8× 62 0.7× 46 0.6× 18 1.1k
Mohammed El Hassouni Morocco 16 374 0.7× 141 0.6× 72 0.5× 7 0.1× 54 0.7× 100 846
Alessandro Bissacco United States 11 944 1.8× 222 1.0× 102 0.7× 43 0.5× 10 0.1× 18 1.1k
M.G. Strintzis Greece 16 573 1.1× 197 0.9× 131 0.9× 37 0.4× 41 0.5× 72 1.1k
Raviteja Vemulapalli United States 9 1.4k 2.8× 684 3.1× 682 4.5× 393 4.3× 45 0.6× 17 1.6k
Sergey Tulyakov United States 23 1.2k 2.3× 245 1.1× 225 1.5× 34 0.4× 80 1.0× 90 1.9k

Countries citing papers authored by Jingyong Su

Since Specialization
Citations

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

Fields of papers citing papers by Jingyong Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingyong Su

This figure shows the co-authorship network connecting the top 25 collaborators of Jingyong Su. A scholar is included among the top collaborators of Jingyong Su 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 Jingyong Su. Jingyong Su 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.
Liu, Zhenyang, Yitian Shao, Qiliang Li, & Jingyong Su. (2025). Transformer-based material recognition via short-time contact sensing. Pattern Recognition. 163. 111448–111448.
2.
Jiang, Xi, et al.. (2025). Decomposition of high-density sEMG signals: Extracting multiple spikes from single time windows. Biomedical Signal Processing and Control. 107. 107771–107771.
3.
Zhang, Tong, et al.. (2025). Semi-supervised medical image segmentation via weak-to-strong perturbation consistency and edge-aware contrastive representation. Medical Image Analysis. 101. 103450–103450. 4 indexed citations
4.
Wang, Ruixuan, et al.. (2025). Boundary-Guided Contrastive Learning for Semi-Supervised Medical Image Segmentation. IEEE Transactions on Medical Imaging. 44(7). 2973–2988.
5.
Zeng, Haijin, et al.. (2025). Vision-Language Gradient Descent-driven All-in-One Deep Unfolding Networks. 7524–7533. 2 indexed citations
6.
Guo, Weiyu, et al.. (2024). Cross-Subject Lifelong Learning for Continuous Estimation From Surface Electromyographic Signal. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 32. 1965–1973. 2 indexed citations
7.
Chen, Yongyong, et al.. (2024). Feature Distribution Matching by Optimal Transport for Effective and Robust Coreset Selection. Proceedings of the AAAI Conference on Artificial Intelligence. 38(8). 9196–9204.
8.
Yang, Zhipeng, et al.. (2023). A Riemannian Framework for Structurally Curated Functional Clustering of Brain White Matter Fibers. IEEE Transactions on Medical Imaging. 42(8). 2414–2424. 4 indexed citations
9.
Zhang, Tong, et al.. (2023). A Deep Transfer Learning Network for Structural Condition Identification with Limited Real-World Training Data. Structural Control and Health Monitoring. 2023. 1–18. 35 indexed citations
10.
He, Daojing, Jiayu Dai, Hongjie Gu, et al.. (2022). A Malicious Domains Detection Method Based on File Sandbox Traffic. IEEE Network. 37(6). 182–188. 2 indexed citations
11.
Luo, Xiaoling, et al.. (2022). RV-ESA: A novel computer-aided elastic shape analysis system for retinal vessels in diabetic retinopathy. Computers in Biology and Medicine. 152. 106406–106406. 5 indexed citations
12.
Wang, Xiaolong, et al.. (2021). Statistical analysis of the community lockdown for COVID-19 pandemic. Applied Intelligence. 52(4). 3465–3482. 2 indexed citations
13.
Tang, Linlin, et al.. (2019). Kernel nearest-farthest subspace classifier for face recognition. Multimedia Tools and Applications. 78(22). 32007–32021. 1 indexed citations
14.
Anirudh, Rushil, Pavan Turaga, Jingyong Su, & Anuj Srivastava. (2016). Elastic Functional Coding of Riemannian Trajectories. IEEE Transactions on Pattern Analysis and Machine Intelligence. 39(5). 922–936. 32 indexed citations
15.
Amor, Boulbaba Ben, Jingyong Su, & Anuj Srivastava. (2015). Action Recognition Using Rate-Invariant Analysis of Skeletal Shape Trajectories. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
16.
Sarkar, Sudeep, et al.. (2014). Pattern Theory-Based Interpretation of Activities. 16. 106–111. 5 indexed citations
17.
Kurtek, Sebastian, et al.. (2013). Statistical analysis of manual segmentations of structures in medical images. Computer Vision and Image Understanding. 117(9). 1036–1050. 15 indexed citations
18.
Yu, Faxin, et al.. (2008). Multi-feature based fire detection in video. International journal of innovative computing, information & control. 4(8). 4 indexed citations
19.
Su, Jingyong, et al.. (2006). A Fire-Alarming Method Based on Video Processing. 359–364. 18 indexed citations
20.
Su, Jingyong, et al.. (2006). A Fire-Alarming Method Based on Video Processing. 359–364. 23 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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Breakdown of academic impact, for papers by Hedi Tabia Breakdown of academic impact, for papers by Mathieu Aubry Breakdown of academic impact, for papers by Matt Feiszli Breakdown of academic impact, for papers by Sen Wang Breakdown of academic impact, for papers by Avinash Ravichandran Breakdown of academic impact, for papers by Mohammed El Hassouni Breakdown of academic impact, for papers by Alessandro Bissacco Breakdown of academic impact, for papers by M.G. Strintzis Breakdown of academic impact, for papers by Raviteja Vemulapalli Breakdown of academic impact, for papers by Sergey Tulyakov
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2026