Tianshui Chen

3.3k total citations
59 papers, 1.8k citations indexed

About

Tianshui Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Tianshui Chen has authored 59 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Computer Vision and Pattern Recognition, 30 papers in Artificial Intelligence and 6 papers in Experimental and Cognitive Psychology. Recurrent topics in Tianshui Chen's work include Advanced Image and Video Retrieval Techniques (20 papers), Multimodal Machine Learning Applications (16 papers) and Domain Adaptation and Few-Shot Learning (16 papers). Tianshui Chen is often cited by papers focused on Advanced Image and Video Retrieval Techniques (20 papers), Multimodal Machine Learning Applications (16 papers) and Domain Adaptation and Few-Shot Learning (16 papers). Tianshui Chen collaborates with scholars based in China, Hong Kong and United States. Tianshui Chen's co-authors include Liang Lin, Guanbin Li, Hefeng Wu, Weihao Yu, Ruijia Xu, Xiaonan Luo, Zhouxia Wang, Lingbo Liu, Yuan Xie and Xuelong Li 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 Image Processing.

In The Last Decade

Tianshui Chen

51 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tianshui Chen China 18 1.4k 891 118 114 78 59 1.8k
Hakan Bilen United Kingdom 17 1.4k 1.0× 985 1.1× 63 0.5× 65 0.6× 38 0.5× 51 1.9k
Bo Dai China 21 1.7k 1.2× 768 0.9× 186 1.6× 90 0.8× 19 0.2× 55 2.2k
Weidong Min China 24 1.2k 0.9× 374 0.4× 49 0.4× 332 2.9× 55 0.7× 126 1.8k
Tat‐Jen Cham Singapore 23 1.8k 1.3× 369 0.4× 102 0.9× 257 2.3× 30 0.4× 86 2.1k
Saad Ali United States 17 2.8k 2.0× 1.4k 1.6× 43 0.4× 82 0.7× 71 0.9× 37 3.1k
Anbang Yao China 15 1.2k 0.9× 288 0.3× 44 0.4× 127 1.1× 203 2.6× 29 1.5k
Yongbin Gao China 20 631 0.5× 171 0.2× 84 0.7× 155 1.4× 47 0.6× 88 1.3k
Jian Zhao China 28 1.7k 1.3× 567 0.6× 117 1.0× 78 0.7× 69 0.9× 109 2.3k
Shilei Wen China 22 1.7k 1.2× 830 0.9× 42 0.4× 77 0.7× 14 0.2× 31 1.9k
Raymond Ptucha United States 18 624 0.4× 333 0.4× 61 0.5× 143 1.3× 75 1.0× 76 1.1k

Countries citing papers authored by Tianshui Chen

Since Specialization
Citations

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

Fields of papers citing papers by Tianshui Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianshui Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Tianshui Chen. A scholar is included among the top collaborators of Tianshui Chen 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 Tianshui Chen. Tianshui Chen 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.
2.
Wu, Hefeng, et al.. (2025). SQLNet: Scale-Modulated Query and Localization Network for Few-Shot Class-Agnostic Counting. IEEE Transactions on Image Processing. 34. 4631–4645.
3.
Hu, Yunqing, et al.. (2025). Knowledge-embedded graph representation learning for document-level relation extraction. Expert Systems with Applications. 295. 128872–128872.
4.
Chen, Tianshui, et al.. (2025). Heterogeneous Correlation Aware Regularization for Sequential Confidence Calibration. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(6). 4597–4613.
5.
Wang, Zeqing, Ke Gong, Keze Wang, et al.. (2024). Mimic: Speaking Style Disentanglement for Speech-Driven 3D Facial Animation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(2). 1770–1777. 6 indexed citations
6.
Peng, Siyuan, et al.. (2024). A weighted prior tensor train decomposition method for community detection in multi-layer networks. Neural Networks. 179. 106523–106523. 3 indexed citations
7.
Chen, Tianshui, et al.. (2024). Contrastive representation enhancement and learning for handwritten mathematical expression recognition. Pattern Recognition Letters. 186. 14–20. 1 indexed citations
8.
Wu, Hefeng, et al.. (2024). Category-Adaptive Label Discovery and Noise Rejection for Multi-Label Recognition With Partial Positive Labels. IEEE Transactions on Multimedia. 26. 9591–9602. 2 indexed citations
9.
10.
Yang, Zhijing, et al.. (2024). Learning Semantic-aware Representation in Visual-Language Models for Multi-label Recognition with Partial Labels. ACM Transactions on Multimedia Computing Communications and Applications. 21(3). 1–19.
11.
Chen, Tianshui, et al.. (2024). Dynamic Correlation Learning and Regularization for Multi-Label Confidence Calibration. IEEE Transactions on Image Processing. 33. 4811–4823. 4 indexed citations
12.
Chen, Tianshui, et al.. (2024). Learning Adaptive Spatial Coherent Correlations for Speech-Preserving Facial Expression Manipulation. 7267–7276. 2 indexed citations
13.
Chen, Tianshui, et al.. (2024). Heterogeneous Semantic Transfer for Multi-label Recognition with Partial Labels. International Journal of Computer Vision. 132(12). 6091–6106. 13 indexed citations
14.
Wu, Hefeng, et al.. (2023). Semantic representation and dependency learning for multi-label image recognition. Neurocomputing. 526. 121–130. 10 indexed citations
15.
Chen, Ruihan, et al.. (2023). Asymmetric low-rank double-level cooperation for scalable discrete cross-modal hashing. Expert Systems with Applications. 237. 121703–121703. 4 indexed citations
16.
Yang, Zhijing, et al.. (2023). OccluMix: Towards De-Occlusion Virtual Try-on by Semantically-Guided Mixup. IEEE Transactions on Multimedia. 25. 1477–1488. 11 indexed citations
17.
Yang, Zhijing, et al.. (2022). Progressive Transformer Machine for Natural Character Reenactment. ACM Transactions on Multimedia Computing Communications and Applications. 19(2s). 1–22. 8 indexed citations
18.
Liu, Lingbo, Zewei Yang, Guanbin Li, et al.. (2022). Aerial Images Meet Crowdsourced Trajectories: A New Approach to Robust Road Extraction. IEEE Transactions on Neural Networks and Learning Systems. 34(7). 3308–3322. 19 indexed citations
19.
Chen, Tianshui, et al.. (2019). Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition. 522–531. 211 indexed citations
20.
Wang, Zhouxia, Tianshui Chen, Guanbin Li, Ruijia Xu, & Liang Lin. (2017). Multi-label Image Recognition by Recurrently Discovering Attentional Regions. 464–472. 208 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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