Chin-Tu Chen

1.3k citations
23 papers · 954 · h-index 10

Impact in

Papers in

Chin-Tu Chen

22 papers receiving 929 citations

Peers

Chin-Tu Chen
Comparison fields: 5 of 112
  • Psychiatry and Mental health 167
  • Pulmonary and Respiratory Medicine 248
  • Developmental Neuroscience 29
  • Anesthesiology and Pain Medicine 30
  • Radiology, Nuclear Medicine and Imaging 116
Replace Hongyoon Choi with:
Hongyoon Choi South Korea
Yong Hao China
Phedias Diamandis Canada
K. Eberhardt Germany
Carina Marí Aparici United States
James L. Lear United States
Philippe Schucht Switzerland
Michel J. Berg United States
Andrea Ciarmiello Italy
Marie Foley Kijewski United States
Chin-Tu Chen relative to Hongyoon Choi South Korea Hongyoon Choi's profile →
Citations per field
00.5×10×
Hongyoon Choi · 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 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010207
2 2013170
3 2012144
4 2015136
5 201574
6 199347
7 199637
8 201832
9 201329
10 19889
11 19899
12 19919
13 20128
14 19918
15 20137
16 20047
17 19906
18 20145
19 19884
20 19933

About Chin-Tu Chen

Chin-Tu Chen is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Radiation and Artificial Intelligence, having authored 23 papers that have together received 954 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (6 papers), Image Retrieval and Classification Techniques (4 papers), Medical Imaging Techniques and Applications (3 papers), Optical measurement and interference techniques (2 papers), Radiation Detection and Scintillator Technologies (2 papers), Advanced Vision and Imaging (2 papers), Neural Networks and Applications (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). The work is most often cited by research in Psychiatry and Mental health (167 citations), Pulmonary and Respiratory Medicine (248 citations), Developmental Neuroscience (29 citations), Anesthesiology and Pain Medicine (30 citations) and Radiology, Nuclear Medicine and Imaging (116 citations). Chin-Tu Chen has collaborated with scholars based in United States, Taiwan and Canada. Frequent co-authors include Ravi Salgia, Frances E. Lennon, Hannah J. Zhang, Chad R. Haney, Lin Piao, John Ryan, Péter T. Tóth, Erik Morrow, Glenn Marsboom and Stephen L. Archer. Their work appears in journals such as American Journal of Respiratory and Critical Care Medicine, Langmuir, Engineering Applications of Artificial Intelligence, PLoS ONE and Nature Reviews Clinical Oncology.

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.

Explore authors with similar magnitude of impact