Ming-Shu Chen

591 total citations
30 papers, 410 citations indexed

About

Ming-Shu Chen is a scholar working on Physiology, Economics and Econometrics and General Health Professions. According to data from OpenAlex, Ming-Shu Chen has authored 30 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Physiology, 5 papers in Economics and Econometrics and 4 papers in General Health Professions. Recurrent topics in Ming-Shu Chen's work include Healthcare Policy and Management (5 papers), Artificial Intelligence in Healthcare (4 papers) and Healthcare Systems and Reforms (3 papers). Ming-Shu Chen is often cited by papers focused on Healthcare Policy and Management (5 papers), Artificial Intelligence in Healthcare (4 papers) and Healthcare Systems and Reforms (3 papers). Ming-Shu Chen collaborates with scholars based in Taiwan, China and United States. Ming-Shu Chen's co-authors include Miroslav Mastilica, Bernard C. Jiang, Yuting Yang, Yuge Zhao, Xin Zhou, Di Nie, Yong Gan, Yunqiu Miao, Chien-Chih Wang and Chih‐Hung Jen and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Nano and American Journal of Public Health.

In The Last Decade

Ming-Shu Chen

27 papers receiving 395 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ming-Shu Chen Taiwan 12 85 63 61 54 53 30 410
Young‐Taek Park South Korea 15 36 0.4× 159 2.5× 41 0.7× 31 0.6× 101 1.9× 73 569
Patrick D. Tyler United States 13 70 0.8× 52 0.8× 90 1.5× 21 0.4× 36 0.7× 31 623
Mireya Martínez-García Mexico 10 25 0.3× 32 0.5× 94 1.5× 11 0.2× 38 0.7× 35 536
Sue Simpson United Kingdom 14 58 0.7× 9 0.1× 61 1.0× 194 3.6× 109 2.1× 32 590
Ahmadreza Jodati Iran 13 25 0.3× 41 0.7× 169 2.8× 10 0.2× 35 0.7× 36 603
Sebastian Salas-Vega United States 12 11 0.1× 49 0.8× 22 0.4× 171 3.2× 54 1.0× 21 713
Komal Smriti India 11 115 1.4× 58 0.9× 70 1.1× 15 0.3× 58 1.1× 43 871
George Ruiz United States 10 27 0.3× 18 0.3× 58 1.0× 16 0.3× 19 0.4× 31 384
Elsie Ross United States 14 44 0.5× 75 1.2× 92 1.5× 25 0.5× 18 0.3× 41 657
Marika Vezzoli Italy 15 46 0.5× 4 0.1× 94 1.5× 52 1.0× 38 0.7× 52 706

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
1.
Lu, Quan, et al.. (2025). Multimodal assessment of a BCI system for stroke rehabilitation integrating motor imagery and motor attempts: a randomized controlled trial. Journal of NeuroEngineering and Rehabilitation. 22(1). 185–185. 1 indexed citations
2.
Chen, Ming-Shu, et al.. (2023). Machine Learning Predictive Models for Evaluating Risk Factors Affecting Sperm Count: Predictions Based on Health Screening Indicators. Journal of Clinical Medicine. 12(3). 1220–1220. 5 indexed citations
3.
Chen, Ming-Shu, et al.. (2023). Service Quality Methods and Practices to Improve Library Administration: A Pilot Study. SHILAP Revista de lepidopterología. 3(2). 187–197.
4.
Lu, Chi-Jie, et al.. (2023). Using a Decision Tree Algorithm Predictive Model for Sperm Count Assessment and Risk Factors in Health Screening Population. Risk Management and Healthcare Policy. Volume 16. 2469–2478. 3 indexed citations
5.
Miao, Yunqiu, Yuting Yang, Ming-Shu Chen, et al.. (2022). Cell Membrane-Camouflaged Nanocarriers with Biomimetic Deformability of Erythrocytes for Ultralong Circulation and Enhanced Cancer Therapy. ACS Nano. 16(4). 6527–6540. 114 indexed citations
6.
7.
Chen, Ming-Shu, et al.. (2022). Evaluating the comparative efficiency of medical centers in Taiwan: a dynamic data envelopment analysis application. BMC Health Services Research. 22(1). 435–435. 11 indexed citations
8.
Chen, Ming-Shu, et al.. (2021). Risk assessment of metabolic syndrome prevalence involving sedentary occupations and socioeconomic status. BMJ Open. 11(12). e042802–e042802. 12 indexed citations
9.
Chen, Ming-Shu, et al.. (2021). Data analysis of ambient intelligence in a healthcare simulation system: a pilot study in high-end health screening process improvement. BMC Health Services Research. 21(1). 936–936. 1 indexed citations
10.
Chiu, Yen‐Ling, et al.. (2021). Health Data-Driven Machine Learning Algorithms Applied to Risk Indicators Assessment for Chronic Kidney Disease. Risk Management and Healthcare Policy. Volume 14. 4401–4412. 25 indexed citations
11.
Chen, Ming-Shu & Shih-Hsin Chen. (2018). A Data-Driven Assessment of the Metabolic Syndrome Criteria for Adult Health Management in Taiwan. International Journal of Environmental Research and Public Health. 16(1). 92–92. 7 indexed citations
12.
Chen, Ming-Shu, et al.. (2017). Risk assessment and quality improvement of liquid waste management in Taiwan University chemical laboratories. Waste Management. 71. 578–588. 33 indexed citations
13.
Chen, Ming-Shu. (2016). Improvement of the Quality of Work in a Biochemistry Laboratory via Measurement System Analysis. The Chinese Journal of Physiology. 59(5). 293–299.
14.
15.
Chen, Ming-Shu & Bernard C. Jiang. (2014). Resistance Training Exercise Program for Intervention to Enhance Gait Function in Elderly Chronically Ill Patients: Multivariate Multiscale Entropy for Center of Pressure Signal Analysis. Computational and Mathematical Methods in Medicine. 2014. 1–10. 20 indexed citations
16.
Chen, Ming-Shu. (2014). Application of Indices Cp and Cpk to Improve Quality Control Capability in Clinical Biochemistry Laboratories. The Chinese Journal of Physiology. 57(2). 63–68. 11 indexed citations
17.
Chen, Ming-Shu, et al.. (2012). The Study of High Speed Micro-Drilling Performance and Machining Quality of Coated Micro-Drills with Zr-C:H Coatings. Advanced materials research. 591-593. 342–346. 2 indexed citations
18.
Chen, Hsiao‐Ching, et al.. (2008). The relationship between teacher’s performance and the merit system based on GM(1,N). 10. 645–649. 1 indexed citations
19.
Chen, Ming-Shu & Miroslav Mastilica. (1998). Health care reform in Croatia: for better or for worse?. American Journal of Public Health. 88(8). 1156–1160. 27 indexed citations
20.
Mastilica, Miroslav & Ming-Shu Chen. (1998). Health care reform in Croatia: the consumers' perspective.. PubMed. 39(3). 256–66. 17 indexed citations

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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Breakdown of academic impact, for papers by Young‐Taek Park Breakdown of academic impact, for papers by Patrick D. Tyler Breakdown of academic impact, for papers by Mireya Martínez-García Breakdown of academic impact, for papers by Sue Simpson Breakdown of academic impact, for papers by Ahmadreza Jodati Breakdown of academic impact, for papers by Sebastian Salas-Vega Breakdown of academic impact, for papers by Komal Smriti Breakdown of academic impact, for papers by George Ruiz Breakdown of academic impact, for papers by Elsie Ross Breakdown of academic impact, for papers by Marika Vezzoli
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