Terrence Chen

2.1k citations
90 papers · 1.5k · h-index 23

Impact in

Papers in

Terrence Chen

83 papers receiving 1.5k citations

Peers

Terrence Chen
Comparison fields: 5 of 122
  • Transplantation 75
  • Computer Vision and Pattern Recognition 651
  • Radiology, Nuclear Medicine and Imaging 406
  • Health Informatics 27
  • Artificial Intelligence 384
Replace Jeongjin Lee with:
Jeongjin Lee South Korea
Yubing Tong United States
Mustafa Alper Selver Türkiye
Matthew T. Freedman United States
Jun Wei United States
Jingfan Fan China
Shu Zhang China
Constantine Butakoff Spain
Catalina Tobon‐Gomez Spain
Shadrokh Samavi Iran
Terrence Chen relative to Jeongjin Lee South Korea Jeongjin Lee's profile →
Citations per field
00.5×5×10×15×20×25×
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 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999124
2 2020101
3 202196
4 202076
5 201767
6 200959
7 201656
8 202256
9 202248
10 202041
11 202239
12 202236
13 202035
14 201135
15 202134
16 202033
17 200930
18 201630
19 201529
20 201628

About Terrence Chen

Terrence Chen is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Computational Mechanics, Biomedical Engineering and Artificial Intelligence, having authored 90 papers that have together received 1.5k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (25 papers), Medical Imaging Techniques and Applications (12 papers), Advanced Vision and Imaging (12 papers), Human Pose and Action Recognition (11 papers), 3D Shape Modeling and Analysis (10 papers), Video Surveillance and Tracking Methods (10 papers), Surgical Simulation and Training (9 papers) and Advanced MRI Techniques and Applications (9 papers). The work is most often cited by research in Transplantation (75 citations), Computer Vision and Pattern Recognition (651 citations), Radiology, Nuclear Medicine and Imaging (406 citations), Health Informatics (27 citations) and Artificial Intelligence (384 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, Xuan Gong, David Doermann, Paul I. Terasaki, Thomas S. Huang, Rui Pei and Ren Li. Their work appears in journals such as IEEE Transactions on Medical Imaging, Lecture notes in computer science, Human Immunology, International Journal of Computer Assisted Radiology and Surgery and BioMed Research International.

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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