Terrence Chen

2.0k total citations
54 papers, 952 citations indexed

About

Terrence Chen is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Terrence Chen has authored 54 papers receiving a total of 952 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Vision and Pattern Recognition, 15 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Artificial Intelligence. Recurrent topics in Terrence Chen's work include Medical Image Segmentation Techniques (16 papers), Advanced Vision and Imaging (10 papers) and Video Surveillance and Tracking Methods (7 papers). Terrence Chen is often cited by papers focused on Medical Image Segmentation Techniques (16 papers), Advanced Vision and Imaging (10 papers) and Video Surveillance and Tracking Methods (7 papers). Terrence Chen collaborates with scholars based in United States, Germany and China. Terrence Chen's co-authors include Dorin Comaniciu, Ziyan Wu, Srikrishna Karanam, Shanhui Sun, Paul I. Terasaki, Rui Pei, David Doermann, Xuan Gong, Peng Wang and S. Kevin Zhou and has published in prestigious journals such as IEEE Transactions on Medical Imaging, BioMed Research International and Pattern Recognition Letters.

In The Last Decade

Terrence Chen

52 papers receiving 939 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Terrence Chen United States 19 327 298 284 157 148 54 952
Maximilian Baust Germany 14 637 1.9× 499 1.7× 743 2.6× 186 1.2× 53 0.4× 33 1.5k
Dibendu Betal United Kingdom 11 571 1.7× 360 1.2× 764 2.7× 50 0.3× 178 1.2× 29 1.2k
Shanhui Sun United States 14 265 0.8× 361 1.2× 139 0.5× 140 0.9× 104 0.7× 31 677
Julien Abinahed Qatar 19 356 1.1× 257 0.9× 156 0.5× 303 1.9× 273 1.8× 51 967
Shun Miao United States 16 524 1.6× 456 1.5× 197 0.7× 416 2.6× 182 1.2× 41 1.2k
Rudi Deklerck Belgium 16 401 1.2× 384 1.3× 210 0.7× 232 1.5× 92 0.6× 54 946
Justin Ker Singapore 5 356 1.1× 537 1.8× 513 1.8× 176 1.1× 94 0.6× 6 1.3k
Shekhar S. Chandra Australia 15 192 0.6× 347 1.2× 146 0.5× 244 1.6× 186 1.3× 70 876
Adrian Barbu United States 19 810 2.5× 399 1.3× 292 1.0× 300 1.9× 107 0.7× 73 1.5k
Yuting He China 12 512 1.6× 449 1.5× 348 1.2× 262 1.7× 84 0.6× 36 1.3k

Countries citing papers authored by Terrence Chen

Since Specialization
Citations

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

Fields of papers citing papers by Terrence Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Terrence Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Terrence Chen. A scholar is included among the top collaborators of Terrence 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 Terrence Chen. Terrence 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.
Tran, Hieu, et al.. (2025). LEAF: Learning and Evaluation Augmented by Fact-Checking to Improve Factualness in Large Language Models. PubMed. 2025(Industry Track). 338–363. 1 indexed citations
2.
Gao, Zhongpai, Meng Zheng, Bin Wang, et al.. (2025). Seq2Time: Sequential Knowledge Transfer for Video LLM Temporal Grounding. 13766–13775. 1 indexed citations
3.
Gao, Zhongpai, et al.. (2024). Disguise without Disruption: Utility-Preserving Face De-identification. Proceedings of the AAAI Conference on Artificial Intelligence. 38(2). 918–926. 7 indexed citations
4.
Gong, Xuan, Liangchen Song, Meng Zheng, et al.. (2023). Progressive Multi-View Human Mesh Recovery with Self-Supervision. Proceedings of the AAAI Conference on Artificial Intelligence. 37(1). 676–684. 4 indexed citations
5.
Gong, Xuan, Liangchen Song, Abhishek Sharma, et al.. (2022). Federated Learning With Privacy-Preserving Ensemble Attention Distillation. IEEE Transactions on Medical Imaging. 42(7). 2057–2067. 26 indexed citations
6.
Wang, Puyang, et al.. (2022). Pyramid Convolutional RNN for MRI Image Reconstruction. IEEE Transactions on Medical Imaging. 41(8). 2033–2047. 37 indexed citations
7.
Zheng, Meng, et al.. (2022). PseudoClick: Interactive Image Segmentation with Click Imitation. Lecture notes in computer science. 13666. 728–745. 30 indexed citations
8.
Gong, Xuan, Abhishek Sharma, Srikrishna Karanam, et al.. (2021). Ensemble Attention Distillation for Privacy-Preserving Federated Learning. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 15056–15066. 89 indexed citations
9.
Karanam, Srikrishna, Ren Li, Fan Yang, et al.. (2020). Towards Contactless Patient Positioning. IEEE Transactions on Medical Imaging. 39(8). 2701–2710. 26 indexed citations
10.
Xia, Yin, Sarfaraz Hussein, Vivek Kumar Singh, et al.. (2016). Context region discovery for automatic motion compensation in fluoroscopy. International Journal of Computer Assisted Radiology and Surgery. 11(6). 977–985. 3 indexed citations
11.
Zhang, Lei, et al.. (2015). Robust object tracking using semi-supervised appearance dictionary learning. Pattern Recognition Letters. 62. 17–23. 27 indexed citations
12.
Mountney, Peter, Razvan Ionasec, Terrence Chen, et al.. (2012). Ultrasound and Fluoroscopic Images Fusion by Autonomous Ultrasound Probe Detection. Lecture notes in computer science. 15(Pt 2). 544–551. 14 indexed citations
13.
Chen, Terrence, et al.. (2012). Real Time Assistance for Stent Positioning and Assessment by Self-initialized Tracking. Lecture notes in computer science. 15(Pt 1). 405–413. 4 indexed citations
14.
Chen, Terrence, Gareth Funka-Lea, & Dorin Comaniciu. (2011). Robust and Fast Contrast Inflow Detection for 2D X-ray Fluoroscopy. Lecture notes in computer science. 14(Pt 1). 243–250. 5 indexed citations
15.
Brost, Alexander, Martín Koch, Andreas Wimmer, et al.. (2011). Combined Cardiac and Respiratory Motion Compensation for Atrial Fibrillation Ablation Procedures. Lecture notes in computer science. 14(Pt 1). 540–547. 7 indexed citations
16.
Wang, Peng, et al.. (2011). Image-Based Device Tracking for the Co-registration of Angiography and Intravascular Ultrasound Images. Lecture notes in computer science. 14(Pt 1). 161–168. 16 indexed citations
17.
Chen, Terrence, Peng Wang, S. Kevin Zhou, et al.. (2011). Learning-based hypothesis fusion for robust catheter tracking in 2D X-ray fluoroscopy. 1097–1104. 25 indexed citations
18.
Wang, Peng, et al.. (2010). Graph Based Interactive Detection of Curve Structures in 2D Fluoroscopy. Lecture notes in computer science. 13(Pt 3). 269–277. 8 indexed citations
19.
Zhu, Ying, et al.. (2009). Dynamic Layer Separation for Coronary DSA and Enhancement in Fluoroscopic Sequences. Lecture notes in computer science. 12(Pt 2). 877–884. 15 indexed citations
20.
Pei, Rui, et al.. (1999). Flow cytometric detection of HLA antibodies using a spectrum of microbeads. Human Immunology. 60(12). 1293–1302. 113 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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