Ming Chi

22 papers receiving 397 citations

Peers

Ming Chi
Comparison fields: 5 of 60
  • Strategy and Management 126
  • Management Information Systems 68
  • Information Systems 159
  • Management Science and Operations Research 74
  • Information Systems and Management 37
Replace Yongshun Xu with:
Yongshun Xu China
Berk Küçükaltan Türkiye
Tahereh Nodehi Portugal
Mírian Picinini Méxas Brazil
Danijela Gračanin Serbia
Douglas N. Hales United States
Ahmad A. Khanfar Australia
Muhammad Mahboob Khurshid Pakistan
Sumera Ahmad Malaysia
Amgad Badewi United Kingdom
Ming Chi relative to Yongshun Xu China Yongshun Xu's profile →
Citations per field
00.5×1.5×
Yongshun Xu · 1×
Citations per year

Countries citing papers authored by Ming Chi

Since Specialization
Citations

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

Fields of papers citing papers by Ming Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Ming Chi, 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 Chi Line = papers co-authored together Ming Chi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202181
2 202172
3 202138
4 202136
5 202133
6 202233
7 202119
8 202418
9 202415
10 202114
11 20238
12 20246
13 20246
14 20256
15 20255
16 20205
17 20254
18 20253
19 20253
20 20251

About Ming Chi

Ming Chi is a scholar working on Strategy and Management, Marketing, Sociology and Political Science, Information Systems and Artificial Intelligence, having authored 25 papers that have together received 408 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (6 papers), Construction Project Management and Performance (5 papers), Sustainable Supply Chain Management (3 papers), Organizational and Employee Performance (3 papers), Digital Transformation in Industry (3 papers), Digital Economy and Work Transformation (3 papers), Supply Chain Resilience and Risk Management (3 papers) and Sharing Economy and Platforms (3 papers). The work is most often cited by research in Strategy and Management (126 citations), Management Information Systems (68 citations), Information Systems (159 citations), Management Science and Operations Research (74 citations) and Information Systems and Management (37 citations). Ming Chi has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Yongshun Xu, Heap‐Yih Chong, Guoliang Liu, Paul Harrigan, Xinhua Bi, Haitao Wu, Cen-Ying Lee, Chuanyun Li, Xia Cao and Yicheng Wu. Their work appears in journals such as Buildings, Engineering Construction & Architectural Management, Ain Shams Engineering Journal, Journal of Civil Engineering and Management and International Journal of Hospitality Management.

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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