Chin‐Tu Chen

1.3k citations
40 papers · 746 indexed · h-index 9
Topics
Radiation Detection and Scintillator Technologies (14 papers)Medical Imaging Techniques and Applications (13 papers)Medical Image Segmentation Techniques (7 papers)
Partner nations
United StatesChinaTaiwan

In The Last Decade

Chin‐Tu Chen

38 papers receiving 724 citations

Peers

Chin‐Tu Chen
Comparison fields: 5 of 92
  • Biomedical Engineering 324
  • Radiology, Nuclear Medicine and Imaging 263
  • Computer Vision and Pattern Recognition 159
  • Materials Chemistry 150
  • Biomaterials 142
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-authorship network of co-authors of Chin‐Tu Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Chin‐Tu Chen. A scholar is included among the top collaborators of Chin‐Tu Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chin‐Tu Chen. Chin‐Tu Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 1
3 1
4 7
5 8
6 1
7 72
8 8
9 1
10 260
11 24
12 3
13 3
14 0
15 5
16 1
17 82
18 106
19 12
20 3

About Chin‐Tu Chen

Chin‐Tu Chen is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Computer Graphics and Computer-Aided Design, 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) and Medical Image Segmentation Techniques (7 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (263 citations), Biomaterials (142 citations) and Radiation (80 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, Maryellen L. Giger, Jeffrey S. Souris, Charles E. Kahn, Kyongtae T. Bae, Chung‐Shi Yang, Chia‐Hung Lee, Nai‐Tzu Chen and Yujing Wang. Their work appears in journals such as Angewandte Chemie International Edition, Advanced Functional Materials 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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