Bing Su

837 total citations
54 papers, 520 citations indexed

About

Bing Su is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Bing Su has authored 54 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Computer Vision and Pattern Recognition, 19 papers in Artificial Intelligence and 8 papers in Signal Processing. Recurrent topics in Bing Su's work include Human Pose and Action Recognition (15 papers), Multimodal Machine Learning Applications (9 papers) and Domain Adaptation and Few-Shot Learning (9 papers). Bing Su is often cited by papers focused on Human Pose and Action Recognition (15 papers), Multimodal Machine Learning Applications (9 papers) and Domain Adaptation and Few-Shot Learning (9 papers). Bing Su collaborates with scholars based in China, United States and Hong Kong. Bing Su's co-authors include Ying Wu, Xiaoqing Ding, Gang Hua, Jiahuan Zhou, Zhewei Wei, Changwen Zheng, Wenwen Qiang, Jiahao Chen, Xiaoqing Ding and Ji-Rong Wen and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and International Journal of Computer Vision.

In The Last Decade

Bing Su

49 papers receiving 503 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bing Su China 14 314 191 86 67 38 54 520
Liping Zhao China 11 252 0.8× 161 0.8× 114 1.3× 26 0.4× 38 1.0× 39 487
Amin Shoukry Egypt 12 217 0.7× 154 0.8× 29 0.3× 42 0.6× 32 0.8× 42 425
Zi-Rui Wang China 11 294 0.9× 374 2.0× 71 0.8× 18 0.3× 73 1.9× 23 661
Bin Shen China 14 445 1.4× 217 1.1× 49 0.6× 21 0.3× 89 2.3× 51 691
Hao Hu China 12 185 0.6× 164 0.9× 20 0.2× 30 0.4× 15 0.4× 41 469
Hirotaka Hachiya Japan 14 146 0.5× 332 1.7× 47 0.5× 20 0.3× 17 0.4× 40 542
Zhiming Cui China 12 287 0.9× 167 0.9× 28 0.3× 16 0.2× 54 1.4× 69 560
Huanhuan Zhang China 13 236 0.8× 114 0.6× 152 1.8× 47 0.7× 16 0.4× 50 527

Countries citing papers authored by Bing Su

Since Specialization
Citations

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

Fields of papers citing papers by Bing Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bing Su

This figure shows the co-authorship network connecting the top 25 collaborators of Bing Su. A scholar is included among the top collaborators of Bing 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 Bing Su. Bing 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.
Su, Bing, et al.. (2025). Deep learning enables label-free nanoparticle localization from bright-field microscopy images. Colloids and Surfaces A Physicochemical and Engineering Aspects. 709. 136061–136061. 1 indexed citations
2.
Su, Bing, et al.. (2025). Variational global clue inference for weakly supervised video moment retrieval. Knowledge-Based Systems. 311. 113071–113071.
3.
Cui, Shuang, et al.. (2025). Continual Test-Time Adaptation for Single Image Defocus Deblurring via Causal Siamese Networks. International Journal of Computer Vision. 133(7). 4134–4157. 1 indexed citations
4.
Su, Bing, et al.. (2024). Instance-Specific Semantic Augmentation for Long-Tailed Image Classification. IEEE Transactions on Image Processing. 33. 2544–2557. 1 indexed citations
5.
Qiang, Wenwen, et al.. (2023). Meta Attention-Generation Network for Cross-Granularity Few-Shot Learning. International Journal of Computer Vision. 131(5). 1211–1233. 13 indexed citations
6.
Chen, Jiahao & Bing Su. (2023). Transfer Knowledge from Head to Tail: Uncertainty Calibration under Long-tailed Distribution. 19978–19987. 20 indexed citations
7.
Zhang, Heng, et al.. (2023). Modeling Video as Stochastic Processes for Fine-Grained Video Representation Learning. 2225–2234. 5 indexed citations
8.
Su, Bing, et al.. (2023). Temporal-enhanced Cross-modality Fusion Network for Video Sentence Grounding. 1487–1492. 4 indexed citations
9.
Zhou, Jiahuan, Bing Su, & Ying Wu. (2022). Discriminative Self-Paced Group-Metric Adaptation for Online Visual Identification. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(4). 1–16. 2 indexed citations
10.
Qiang, Wenwen, et al.. (2022). Modeling Multiple Views via Implicitly Preserving Global Consistency and Local Complementarity. IEEE Transactions on Knowledge and Data Engineering. 1–17. 5 indexed citations
11.
12.
Zhou, Jiahuan, Bing Su, & Ying Wu. (2020). Online Joint Multi-Metric Adaptation From Frequent Sharing-Subset Mining for Person Re-Identification. 2906–2915. 38 indexed citations
13.
Su, Bing & Ying Wu. (2019). Learning distance for sequences by learning a ground metric. International Conference on Machine Learning. 6015–6025. 5 indexed citations
14.
Zhou, Jiahuan, Bing Su, & Ying Wu. (2018). Easy Identification from Better Constraints: Multi-shot Person Re-identification from Reference Constraints. 5373–5381. 11 indexed citations
15.
Su, Bing & Ying Wu. (2018). Learning Low-Dimensional Temporal Representations. 4761–4770. 3 indexed citations
16.
Su, Bing, et al.. (2017). Discriminative Transformation for Multi-dimensional Temporal Sequences. IEEE Transactions on Image Processing. 26(7). 1–1. 10 indexed citations
17.
Su, Bing, Jiahuan Zhou, Xiaoqing Ding, & Ying Wu. (2017). Unsupervised Hierarchical Dynamic Parsing and Encoding for Action Recognition. IEEE Transactions on Image Processing. 26(12). 5784–5799. 18 indexed citations
18.
Su, Bing, et al.. (2015). Heteroscedastic max-min distance analysis. 4539–4547. 19 indexed citations
19.
Su, Bing, Xiaoqing Ding, Liangrui Peng, & Changsong Liu. (2013). A Novel Baseline-independent Feature Set for Arabic Handwriting Recognition. 30. 1250–1254. 13 indexed citations
20.
Hu, Yu‐Chen, et al.. (2008). Colour image coding scheme using absolute moment block truncation coding and block prediction technique. The Imaging Science Journal. 56(5). 254–270. 13 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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