Yuh‐Min Chen

8.8k citations
235 papers · 4.0k · h-index 32

Impact in

Papers in

Yuh‐Min Chen

219 papers receiving 3.8k citations

Peers

Yuh‐Min Chen
Comparison fields: 5 of 175
  • Pulmonary and Respiratory Medicine 1.3k
  • Industrial and Manufacturing Engineering 381
  • Management of Technology and Innovation 243
  • Oncology 828
  • Management Information Systems 169
Replace Gerhard Friedrich with:
Gerhard Friedrich Austria
Yuh-Min Chen Taiwan
Wim H. van Harten Netherlands
Dong‐Hoon Yang South Korea
Mitsuru Ikeda Japan
Qingpeng Zhang China
James L. Fisher United States
Claire O’Brien United Kingdom
Francis Lau Canada
Silvana Quaglini Italy
Yuh‐Min Chen relative to Gerhard Friedrich Austria Gerhard Friedrich's profile →
Citations per field
00.5×5.5×
Gerhard Friedrich · 1×
Citations per year

Countries citing papers authored by Yuh‐Min Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yuh‐Min Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 235 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005277
2 2012178
3 2010145
4 2004113
5 200089
6 202280
7 200973
8 202164
9 201860
10 201250
11 201150
12 201049
13 201248
14 200848
15 201747
16 201047
17 200046
18 199743
19 200242
20 200941

About Yuh‐Min Chen

Yuh‐Min Chen is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Artificial Intelligence, Information Systems and Industrial and Manufacturing Engineering, having authored 235 papers that have together received 4.0k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (57 papers), Lung Cancer Research Studies (31 papers), Manufacturing Process and Optimization (22 papers), Semantic Web and Ontologies (21 papers), Lung Cancer Diagnosis and Treatment (19 papers), Service-Oriented Architecture and Web Services (14 papers), Colorectal Cancer Treatments and Studies (11 papers) and Business Process Modeling and Analysis (10 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (1.3k citations), Industrial and Manufacturing Engineering (381 citations), Management of Technology and Innovation (243 citations), Oncology (828 citations) and Management Information Systems (169 citations). Yuh‐Min Chen has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Reury-Perng Perng, Chun‐Ming Tsai, Hui‐Chuan Chu, Chao‐Hua Chiu, Yuh‐Jen Chen, Tsung‐Yi Chen, Heng‐Sheng Chao, Hwa‐Yen Chiu, Kun‐Ta Chou and Teh‐Ying Chou. Their work appears in journals such as Expert Systems with Applications, Lung Cancer, Journal of Clinical Oncology, International Journal of Computer Integrated Manufacturing and Robotics and Computer-Integrated Manufacturing.

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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