Terrence Chen

2.0k citations
83 papers · 1.4k · h-index 23

Impact in

Papers in

Terrence Chen

78 papers receiving 1.4k citations

Peers

Terrence Chen
Comparison fields: 5 of 120
  • Transplantation 73
  • Computer Vision and Pattern Recognition 611
  • Radiology, Nuclear Medicine and Imaging 393
  • Health Informatics 25
  • Artificial Intelligence 365
Replace Jeongjin Lee with:
Jeongjin Lee South Korea
Matthew T. Freedman United States
Jun Wei United States
Jelmer M. Wolterink Netherlands
Chuang Zhu China
Sebastian Wirkert Germany
Zhijian Song China
Liansheng Wang China
Jingfan Fan China
Hélder P. Oliveira Portugal
Terrence Chen relative to Jeongjin Lee South Korea Jeongjin Lee's profile →
Citations per field
00.5×10×15×20×24.3×
Jeongjin Lee · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Terrence Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Terrence Chen Line = papers co-authored together Terrence Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999118
2 202095
3 202194
4 201767
5 202065
6 200957
7 201654
8 202251
9 202244
10 202039
11 201134
12 202033
13 202233
14 202033
15 200931
16 202230
17 202130
18 201529
19 201628
20 201627

About Terrence Chen

Terrence Chen is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Artificial Intelligence and Computational Mechanics, having authored 83 papers that have together received 1.4k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (25 papers), Medical Imaging Techniques and Applications (11 papers), Advanced Vision and Imaging (11 papers), Human Pose and Action Recognition (10 papers), Video Surveillance and Tracking Methods (10 papers), Surgical Simulation and Training (9 papers), 3D Shape Modeling and Analysis (9 papers) and Advanced Neural Network Applications (7 papers). The work is most often cited by research in Transplantation (73 citations), Computer Vision and Pattern Recognition (611 citations), Radiology, Nuclear Medicine and Imaging (393 citations), Health Informatics (25 citations) and Artificial Intelligence (365 citations). Terrence Chen has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Ziyan Wu, Dorin Comaniciu, Srikrishna Karanam, Shanhui Sun, David Doermann, Xuan Gong, Rui Pei, Paul I. Terasaki, Thomas S. Huang and Ren Li. Their work appears in journals such as IEEE Transactions on Medical Imaging, Lecture notes in computer science, Pattern Recognition Letters, Human Immunology and International Journal of Computer Assisted Radiology and Surgery.

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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