Ming‐Hsien Yang

1.3k citations
52 papers · 1.1k · h-index 18

Impact in

Papers in

Ming‐Hsien Yang

51 papers receiving 995 citations

Peers

Ming‐Hsien Yang
Comparison fields: 5 of 102
  • Marketing 360
  • Information Systems and Management 189
  • Industrial and Manufacturing Engineering 272
  • Management Information Systems 189
  • Organizational Behavior and Human Resource Management 204
Replace Matteo Borghi with:
Matteo Borghi United Kingdom
Takao Enkawa Japan
Pankaj Setia United States
Jason C.H. Chen United States
Nobuyuki Fukawa United States
Hannu Kärkkäinen Finland
Suraya Miskon Malaysia
Ying‐Jiun Hsieh Taiwan
Ankit Mehrotra India
Yu-Min Wang Taiwan
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Citations per field
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Citations per year

Countries citing papers authored by Ming‐Hsien Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Hsien Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001130
2 1999110
3 2016102
4 200993
5 201282
6 200654
7 200351
8 201443
9 201038
10 199728
11 200526
12 201125
13 201325
14 201924
15 201420
16
200220
17 201118
18 200717
19 200217
20 200215

About Ming‐Hsien Yang

Ming‐Hsien Yang is a scholar working on Information Systems and Management, Industrial and Manufacturing Engineering, Sociology and Political Science, Organizational Behavior and Human Resource Management and Strategy and Management, having authored 52 papers that have together received 1.1k indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (14 papers), Customer Service Quality and Loyalty (11 papers), Technology Adoption and User Behaviour (11 papers), Advanced Manufacturing and Logistics Optimization (11 papers), Digital Marketing and Social Media (10 papers), Optimization and Packing Problems (9 papers), Outsourcing and Supply Chain Management (4 papers) and Ethics in Business and Education (4 papers). The work is most often cited by research in Marketing (360 citations), Information Systems and Management (189 citations), Industrial and Manufacturing Engineering (272 citations), Management Information Systems (189 citations) and Organizational Behavior and Human Resource Management (204 citations). Ming‐Hsien Yang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include W. L. Pearn, Ya-Yun Cheng, Houn‐Gee Chen, Yu‐Chih Liu, Binshan Lin, Gary Klein, Jason C.H. Chen, Chang‐Tang Chiang, Yuzhu Li and Chien Hsiang Liao. Their work appears in journals such as Industrial Management & Data Systems, Journal of the Operational Research Society, Journal of Computer Information Systems, International Journal of Production Economics and Electronic Commerce Research and Applications.

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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