Chin‐Tu Chen

1.3k citations
40 papers · 759 · h-index 10

Impact in

Papers in

Chin‐Tu Chen

38 papers receiving 738 citations

Peers

Chin‐Tu Chen
Comparison fields: 5 of 88
  • Radiology, Nuclear Medicine and Imaging 227
  • Biomaterials 136
  • Radiation 78
  • Computer Vision and Pattern Recognition 149
  • Biomedical Engineering 297
Replace Greta S. P. Mok with:
Greta S. P. Mok Macao
Shouhua Luo China
Ting Song China
Paolo Fumene Feruglio United States
Wenxue Zhang China
Vincent Jaouen France
Parham Geramifar Iran
Jinzi Zheng Canada
Ioannis Lavdas United Kingdom
Tingfeng Chen China
Chin‐Tu Chen relative to Greta S. P. Mok Macao Greta S. P. Mok's profile →
Citations per field
00.5×5.0×
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 2008261
2 1993106
3 199482
4 201373
5 202052
6 202324
7 200724
8 202016
9 199212
10 20219
11 20108
12 20228
13 20028
14 20107
15 20176
16 20036
17 20076
18 19955
19 19975
20 20025

About Chin‐Tu Chen

Chin‐Tu Chen is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Biomedical Engineering and Molecular Biology, having authored 40 papers that have together received 759 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 (6 papers), Advanced X-ray and CT Imaging (4 papers), Atomic and Subatomic Physics Research (4 papers), 3D Shape Modeling and Analysis (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 (227 citations), Biomaterials (136 citations), Radiation (78 citations), Computer Vision and Pattern Recognition (149 citations) and Biomedical Engineering (297 citations). Chin‐Tu Chen has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Shih‐Hsun Cheng, Leu‐Wei Lo, Jeffrey S. Souris, Maryellen L. Giger, Charles E. Kahn, Kyongtae T. Bae, Chung‐Yuan Mou, Yujing Wang, Yu‐Ching Chen and Nai‐Tzu Chen. Their work appears in journals such as Medical Physics, IEEE Transactions on Nuclear Science, IEEE Transactions on Radiation and Plasma Medical Sciences, Advanced Functional Materials and Nanomaterials.

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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