Ming-Shu Chen

591 citations
30 papers · 410 indexed · h-index 12
Topics
Healthcare Policy and Management (5 papers)Artificial Intelligence in Healthcare (4 papers)Healthcare Systems and Reforms (3 papers)
Journals
SHILAP Revista de lepidopterologíaACS NanoAmerican Journal of Public Health
Partner nations
TaiwanChinaUnited States

In The Last Decade

Ming-Shu Chen

27 papers receiving 395 citations

Peers

Ming-Shu Chen
Comparison fields: 5 of 125
  • Biomedical Engineering 85
  • Health Information Management 63
  • Molecular Biology 61
  • Economics and Econometrics 54
  • General Health Professions 53
Replace Young‐Taek Park with:
Young‐Taek Park South Korea
James J. Rooney United Kingdom
Sebastian Salas-Vega United States
Patrick D. Tyler United States
Seyed Mojtaba Hosseini Iran
Sue Simpson United Kingdom
Jaeyoung Kim South Korea
Mireya Martínez-García Mexico
Serhat Simsek United States
Qingxia Kong China
Ming-Shu Chen relative to Young‐Taek Park South Korea Young‐Taek Park's profile →
Citations per field
00.5×1.5×2.4×
Young‐Taek Park · 1×
Citations per year

Countries citing papers authored by Ming-Shu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Shu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming-Shu 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 Ming-Shu Chen. The network helps show where Ming-Shu Chen may publish in the future.

Co-authorship network of co-authors of Ming-Shu Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Ming-Shu Chen. A scholar is included among the top collaborators of Ming-Shu 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 Ming-Shu Chen. Ming-Shu 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 1
2 5
3 0
4 3
5 114
6 11
7 6
8 12
9 1
10 25
11 1
12 1
13 7
14 33
15 0
16 12
17 11
18 20
19 2
20 27

About Ming-Shu Chen

Ming-Shu Chen is a scholar working on Chemical Health and Safety, Health Information Management and Statistics, Probability and Uncertainty, having authored 30 papers that have together received 410 indexed citations. Recurring topics across this work include Healthcare Policy and Management (5 papers), Artificial Intelligence in Healthcare (4 papers) and Healthcare Systems and Reforms (3 papers). The work is most often cited by research in Chemical Health and Safety (11 citations), Health Information Management (63 citations) and Health Informatics (9 citations). Ming-Shu Chen has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Miroslav Mastilica, Bernard C. Jiang, Xin Zhou, Di Nie, Yuge Zhao, Yunqiu Miao, Yuting Yang, Yong Gan, Chih‐Hung Jen and Chien-Chih Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, ACS Nano and American Journal of Public Health.

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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