Ming‐Hsien Chen

15 papers receiving 463 citations

Peers

Ming‐Hsien Chen
Comparison fields: 5 of 90
  • Experimental and Cognitive Psychology 99
  • Clinical Psychology 139
  • Physical Therapy, Sports Therapy and Rehabilitation 16
  • Industrial and Manufacturing Engineering 30
  • Geriatrics and Gerontology 8
Replace Amer Cavalheiro Hamdan with:
Amer Cavalheiro Hamdan Brazil
Ran Wu China
Peter Wallin Sweden
John Manley United States
Dongmei Wu China
Azrulhizam Shapi’i Malaysia
Steffi Kreuzfeld Germany
Harm op den Akker Netherlands
John P. Young United States
Ming‐Hsien Chen relative to Amer Cavalheiro Hamdan Brazil Amer Cavalheiro Hamdan's profile →
Citations per field
00.5×2.8×
Amer Cavalheiro Hamdan · 1×
Citations per year

Countries citing papers authored by Ming‐Hsien Chen

Since Specialization
Citations

This map shows the geographic impact of Ming‐Hsien 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‐Hsien 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‐Hsien Chen more than expected).

Fields of papers citing papers by Ming‐Hsien Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Ming‐Hsien 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 Ming‐Hsien Chen Line = papers co-authored together Ming‐Hsien Chen links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2008171
2 2010102
3 200886
4 201256
5 200720
6 202215
7 201110
8 20209
9 20227
10 20145
11
Psychological Barriers and Prices Behaviour of TAIFEX Futures
20115
12 20143
13 20022
14 20102
15 20001
16 20240
17 20240
18
Study Knowledge Flows Moving in Business Groups with the Perspectives of Organizational Learning
20070

About Ming‐Hsien Chen

Ming‐Hsien Chen is a scholar working on Information Systems, Artificial Intelligence, Clinical Psychology, Finance and Economics and Econometrics, having authored 18 papers that have together received 494 indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (2 papers), Teaching and Learning Programming (2 papers), Metaheuristic Optimization Algorithms Research (2 papers), Mindfulness and Compassion Interventions (2 papers), Education and Learning Interventions (2 papers), Complex Systems and Time Series Analysis (2 papers), Advanced Clustering Algorithms Research (1 paper) and Educational Research and Pedagogy (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (99 citations), Clinical Psychology (139 citations), Physical Therapy, Sports Therapy and Rehabilitation (16 citations), Industrial and Manufacturing Engineering (30 citations) and Geriatrics and Gerontology (8 citations). Ming‐Hsien Chen has collaborated with scholars based in Taiwan, Indonesia and United Kingdom. Frequent co-authors include Kuei‐Min Chen, Chun‐Huw Li, Huey‐Shyan Lin, Hsuan‐Man Hung, Yu‐Cheng Kao, Yi-Ting Huang, Han-Lin Li, Nian‐Shing Chen, Hsiu‐Hung Wang and Sheng‐Chieh Huang. Their work appears in journals such as Journal of Clinical Nursing, Journal of Nursing Research, International Journal of Nursing Studies, Computers in Biology and Medicine and Review of Derivatives Research.

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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