Tai‐Been Chen

840 total citations
62 papers, 582 citations indexed

About

Tai‐Been Chen is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Tai‐Been Chen has authored 62 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Biomedical Engineering and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Tai‐Been Chen's work include Radiomics and Machine Learning in Medical Imaging (13 papers), AI in cancer detection (7 papers) and Advanced X-ray and CT Imaging (6 papers). Tai‐Been Chen is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (13 papers), AI in cancer detection (7 papers) and Advanced X-ray and CT Imaging (6 papers). Tai‐Been Chen collaborates with scholars based in Taiwan, Japan and Israel. Tai‐Been Chen's co-authors include Yu‐Hua Lin, Henry Horng‐Shing Lu, Kang Lu, Po‐Chou Liliang, Cheng‐Loong Liang, Weichang Du, Kuo‐Wei Wang, Hao‐Kuang Wang, I‐Lynn Lee and Yichen Wu and has published in prestigious journals such as Scientific Reports, Molecules and Sensors.

In The Last Decade

Tai‐Been Chen

57 papers receiving 562 citations

Peers

Tai‐Been Chen
Comparison fields: 5 of 113
  • Surgery 119
  • Radiology, Nuclear Medicine and Imaging 86
  • Pulmonary and Respiratory Medicine 78
  • Biomedical Engineering 72
  • Physiology 70
Replace Manish Goyal with:
Manish Goyal India
Ancor Sanz‐García Spain
Luca Vizioli Italy
Gregory J. Zarow United States
Crina Sinescu Romania
Jeremy Lynch United Kingdom
Jan Stepánek United States
Wenliang Guo China
Mona Arbab United States
Roberto Sanz‐Requena Spain
Manish Goyal India View profile →
Citations per field, relative to Tai‐Been Chen
Tai‐Been Chen · 1×
Citations per year, relative to Tai‐Been Chen
Tai‐Been Chen · 1×

Countries citing papers authored by Tai‐Been Chen

Since Specialization
Citations

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

Fields of papers citing papers by Tai‐Been Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tai‐Been Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Tai‐Been Chen. A scholar is included among the top collaborators of Tai‐Been 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 Tai‐Been Chen. Tai‐Been 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
# Work Indexed citations
1 1
2 0
3 0
4 0
5 6
6 8
7 1
8 1
9 0
10 3
11 5
12 4
13 9
14 11
15 28
16 14
17 43
18 1
19 27
20 23

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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