Chin‐Tu Chen

1.3k citations
40 papers · 746 · h-index 9

Impact in

Papers in

Chin‐Tu Chen

38 papers receiving 724 citations

Peers

Chin‐Tu Chen
Comparison fields: 5 of 92
  • Radiology, Nuclear Medicine and Imaging 263
  • Biomaterials 142
  • Radiation 80
  • Computer Vision and Pattern Recognition 159
  • Biomedical Engineering 324
Replace Greta S. P. Mok with:
Greta S. P. Mok Macao
Shouhua Luo China
Changjun Tie China
Mohammad Ali Oghabian Iran
Ting Song China
Wenxue Zhang China
Paolo Fumene Feruglio United States
Vincent Jaouen France
Ioannis Lavdas United Kingdom
Jinzi Zheng Canada
Chin‐Tu Chen relative to Greta S. P. Mok Macao Greta S. P. Mok's profile →
Citations per field
00.5×3.9×
Greta S. P. Mok · 1×
Citations per year

Countries citing papers authored by Chin‐Tu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Chin‐Tu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chin‐Tu 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 Chin‐Tu Chen Line = papers co-authored together Chin‐Tu Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008260
2 1993106
3 199482
4 201372
5 202051
6 200724
7 202319
8 202014
9 199212
10 20218
11 20108
12 20028
13 20227
14 20107
15 20036
16 20176
17 20076
18 19955
19 19975
20 20025

About Chin‐Tu Chen

Chin‐Tu Chen is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation, Computer Vision and Pattern Recognition, Biomedical Engineering and Molecular Biology, having authored 40 papers that have together received 746 indexed citations. Recurring topics across this work include Radiation Detection and Scintillator Technologies (14 papers), Medical Imaging Techniques and Applications (13 papers), Medical Image Segmentation Techniques (7 papers), Advanced X-ray and CT Imaging (4 papers), 3D Shape Modeling and Analysis (4 papers), Atomic and Subatomic Physics Research (4 papers), Advanced MRI Techniques and Applications (3 papers) and Nuclear Physics and Applications (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (263 citations), Biomaterials (142 citations), Radiation (80 citations), Computer Vision and Pattern Recognition (159 citations) and Biomedical Engineering (324 citations). Chin‐Tu Chen has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Leu‐Wei Lo, Shih‐Hsun Cheng, Jeffrey S. Souris, Maryellen L. Giger, Charles E. Kahn, Kyongtae T. Bae, Chung‐Yuan Mou, Yujing Wang, Nai‐Tzu Chen and Chia‐Hung Lee. Their work appears in journals such as Medical Physics, IEEE Transactions on Nuclear Science, IEEE Transactions on Radiation and Plasma Medical Sciences, Applied Radiation and Isotopes and International Journal of Molecular Sciences.

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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