Terrence Chen

2.0k citations
54 papers · 952 indexed · h-index 19

Impact in

Papers in

Terrence Chen

52 papers receiving 939 citations

Peers

Terrence Chen
Comparison fields: 5 of 109
  • Transplantation 80
  • Computer Vision and Pattern Recognition 327
  • Radiology, Nuclear Medicine and Imaging 298
  • Health Informatics 15
  • Artificial Intelligence 284
Replace Andreas Wahle with:
Andreas Wahle United States
Juan Shan United States
Maximilian Baust Germany
Dibendu Betal United Kingdom
Federico Bolelli Italy
Ali Abbasian Ardakani Iran
Brian Cho United States
Ángel Cruz-Roa Colombia
Tomasz Markiewicz Poland
Terrence Chen relative to Andreas Wahle United States Andreas Wahle's profile →
Citations per field
00.5×7.7×
Andreas Wahle · 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 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999113
2 202189
3 202082
4 200953
5 201648
6 202245
7 202237
8 202230
9 202029
10 201527
11 200927
12 202226
13 202026
14 201125
15 201624
16 202122
17 201620
18 201419
19 201319
20 201116

About Terrence Chen

Terrence Chen is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Health Informatics, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 54 papers that have together received 952 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (16 papers), Advanced Vision and Imaging (10 papers), Video Surveillance and Tracking Methods (7 papers), Human Pose and Action Recognition (6 papers), 3D Shape Modeling and Analysis (5 papers), Surgical Simulation and Training (5 papers), COVID-19 diagnosis using AI (4 papers) and Advanced MRI Techniques and Applications (4 papers). The work is most often cited by research in Transplantation (80 citations), Computer Vision and Pattern Recognition (327 citations), Radiology, Nuclear Medicine and Imaging (298 citations), Health Informatics (15 citations) and Artificial Intelligence (284 citations). Terrence Chen has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Dorin Comaniciu, Ziyan Wu, Srikrishna Karanam, Shanhui Sun, Rui Pei, Paul I. Terasaki, David Doermann, Xuan Gong, Peng Wang and S. Kevin Zhou. Their work appears in journals such as IEEE Transactions on Medical Imaging, Lecture notes in computer science, International Journal of Computer Assisted Radiology and Surgery, Human Immunology and Pattern Recognition Letters.

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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