Hui Tang

2.1k total citations
40 papers, 1.1k citations indexed

About

Hui Tang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Hui Tang has authored 40 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 17 papers in Artificial Intelligence and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Hui Tang's work include Domain Adaptation and Few-Shot Learning (9 papers), Topic Modeling (5 papers) and Face recognition and analysis (4 papers). Hui Tang is often cited by papers focused on Domain Adaptation and Few-Shot Learning (9 papers), Topic Modeling (5 papers) and Face recognition and analysis (4 papers). Hui Tang collaborates with scholars based in China, United States and Hong Kong. Hui Tang's co-authors include Kui Jia, Ke Chen, Yabin Zhang, Mingkui Tan, Michael R. Abraham, Yaowei Wang, Norbert J. Pienta, Joseph J. Topczewski, Bin Deng and Lei Zhang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Medical Imaging and Pattern Recognition.

In The Last Decade

Hui Tang

35 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hui Tang China 12 654 595 138 78 67 40 1.1k
Fenglin Liu China 18 586 0.9× 446 0.7× 126 0.9× 44 0.6× 7 0.1× 62 1.2k
Leonid Karlinsky United States 17 665 1.0× 658 1.1× 132 1.0× 22 0.3× 6 0.1× 45 1.0k
Muhammad Ghifary Indonesia 4 542 0.8× 389 0.7× 52 0.4× 67 0.9× 5 0.1× 13 692
Xiaoguang Li China 16 146 0.2× 404 0.7× 115 0.8× 20 0.3× 9 0.1× 120 899
Xiaoyu Tao China 15 441 0.7× 376 0.6× 68 0.5× 29 0.4× 8 0.1× 28 801
Mengmeng Jing China 15 619 0.9× 420 0.7× 77 0.6× 86 1.1× 4 0.1× 29 797
Da-Wei Zhou China 12 548 0.8× 278 0.5× 54 0.4× 12 0.2× 8 0.1× 23 724
Kele Xu China 17 355 0.5× 232 0.4× 255 1.8× 17 0.2× 4 0.1× 125 891

Countries citing papers authored by Hui Tang

Since Specialization
Citations

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

Fields of papers citing papers by Hui Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hui Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Hui Tang. A scholar is included among the top collaborators of Hui Tang 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 Hui Tang. Hui Tang 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.
Tang, Hui, et al.. (2025). DDaTR: Dynamic Difference-Aware Temporal Residual Network for Longitudinal Radiology Report Generation. IEEE Transactions on Medical Imaging. 44(12). 5345–5357. 1 indexed citations
2.
Zhai, Tingting, Xinyi Zhang, Wenwen Wang, et al.. (2025). Improving multi-trait genomic prediction by incorporating local genetic correlations. Communications Biology. 8(1). 307–307. 1 indexed citations
3.
Tang, Hui, et al.. (2025). Adaptive label modification based on uncertainty learning for facial expression recognition in the wild. International Journal of Machine Learning and Cybernetics. 16(9). 5673–5688.
4.
Zhao, Chuang, Hui Tang, Jiheng Zhang, & Xiaomeng Li. (2025). Unveiling Discrete Clues: Superior Healthcare Predictions for Rare Diseases. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1747–1758.
5.
6.
Tang, Hui, et al.. (2024). An Improved STARK Tracker with Gaussian Distributed Focal Loss. 33. 1981–1986.
7.
8.
Cai, Xiong, Hui Tang, & Li Chai. (2023). Micro Expression Recognition based on Graph Convolutional Networks with LSTM. 5449–5453.
9.
Chen, Yuhang, et al.. (2022). Evaluating and Visualizing the Contribution of ECG Characteristic Waveforms for PPG-Based Blood Pressure Estimation. Micromachines. 13(9). 1438–1438. 4 indexed citations
10.
Tang, Hui, et al.. (2021). Geometry-Aware Self-Training for Unsupervised Domain Adaptation on Object Point Clouds. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 6383–6392. 46 indexed citations
11.
Tang, Hui & Kui Jia. (2021). Vicinal and categorical domain adaptation. Pattern Recognition. 115. 107907–107907. 14 indexed citations
12.
Tang, Hui, Xiatian Zhu, Ke Chen, Kui Jia, & C. L. Philip Chen. (2021). Towards Uncovering the Intrinsic Data Structures for Unsupervised Domain Adaptation Using Structurally Regularized Deep Clustering. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(10). 6517–6533. 25 indexed citations
13.
Yi, Jingru, Hui Tang, Pengxiang Wu, et al.. (2020). Object-Guided Instance Segmentation for Biological Images. Proceedings of the AAAI Conference on Artificial Intelligence. 34(7). 12677–12684. 10 indexed citations
14.
Huang, Chao, Hui Tang, Wei Fan, et al.. (2020). Self-Supervised, Semi-Supervised, Multi-Context Learning for the Combined Classification and Segmentation of Medical Images (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence. 34(10). 13815–13816. 5 indexed citations
15.
Xue, Yuan, Hui Tang, Zhi Qiao, et al.. (2020). Shape-Aware Organ Segmentation by Predicting Signed Distance Maps. Proceedings of the AAAI Conference on Artificial Intelligence. 34(7). 12565–12572. 80 indexed citations
16.
Shu, Xin, Hui Tang, & Shucheng Huang. (2020). Face spoofing detection based on chromatic ED-LBP texture feature. Multimedia Systems. 27(2). 161–176. 24 indexed citations
17.
Qiao, Zhi, Zhen Qian, Hui Tang, et al.. (2020). CorGAN: Context aware Recurrent Generative Adversarial Network for Medical Image Generation. 6 indexed citations
18.
Huang, Guimin, et al.. (2020). BERT-based Contextual Semantic analysis for English Preposition Error Correction. Journal of Physics Conference Series. 1693(1). 12115–12115. 2 indexed citations
19.
Wang, Hongzhi, et al.. (2018). Fast anatomy segmentation by combining coarse scale multi-atlas label fusion with fine scale corrective learning. Computerized Medical Imaging and Graphics. 68. 16–24. 10 indexed citations
20.
Tang, Hui, David J. Beebe, & Arthur F. Kramer. (2001). A multilevel input system with force-sensitive elements. International Journal of Human-Computer Studies. 54(4). 495–507. 10 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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