Ming Chi

552 total citations
23 papers, 355 citations indexed

About

Ming Chi is a scholar working on Strategy and Management, Marketing and Sociology and Political Science. According to data from OpenAlex, Ming Chi has authored 23 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Strategy and Management, 7 papers in Marketing and 6 papers in Sociology and Political Science. Recurrent topics in Ming Chi's work include Blockchain Technology Applications and Security (6 papers), Construction Project Management and Performance (5 papers) and Organizational and Employee Performance (3 papers). Ming Chi is often cited by papers focused on Blockchain Technology Applications and Security (6 papers), Construction Project Management and Performance (5 papers) and Organizational and Employee Performance (3 papers). Ming Chi collaborates with scholars based in China, Australia and United States. Ming Chi's co-authors include Yongshun Xu, Heap‐Yih Chong, Guoliang Liu, Paul Harrigan, Xinhua Bi, Chuanyun Li, Xia Cao, Cen-Ying Lee, Lin Wang and Yanli Chen and has published in prestigious journals such as PLoS ONE, Journal of Business Research and Computers in Human Behavior.

In The Last Decade

Ming Chi

20 papers receiving 338 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 Chi China 10 141 118 67 66 58 23 355
Yongshun Xu China 13 176 1.2× 174 1.5× 119 1.8× 98 1.5× 79 1.4× 36 506
Aneesh Zutshi Portugal 10 108 0.8× 105 0.9× 58 0.9× 24 0.4× 76 1.3× 24 351
Berk Küçükaltan Türkiye 9 84 0.6× 168 1.4× 56 0.8× 25 0.4× 113 1.9× 26 358
Maria Papadaki United Arab Emirates 7 249 1.8× 60 0.5× 47 0.7× 51 0.8× 124 2.1× 19 365
Mounir M. El Khatib United Arab Emirates 8 68 0.5× 143 1.2× 44 0.7× 158 2.4× 180 3.1× 10 633
Amer Hani Al-Kassem Pakistan 14 46 0.3× 104 0.9× 44 0.7× 153 2.3× 133 2.3× 17 485
Muhammad Mahboob Khurshid Pakistan 9 35 0.2× 79 0.7× 31 0.5× 28 0.4× 76 1.3× 18 254
Ricardo Martins Portugal 6 75 0.5× 85 0.7× 38 0.6× 50 0.8× 107 1.8× 13 338
Antònia Mas Spain 13 244 1.7× 75 0.6× 34 0.5× 27 0.4× 165 2.8× 38 550
Jaspreet Kaur India 5 123 0.9× 85 0.7× 27 0.4× 33 0.5× 86 1.5× 7 336

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-authorship network of co-authors of Ming Chi

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Chi. A scholar is included among the top collaborators of Ming Chi 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 Chi. Ming Chi 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.
Chi, Ming, et al.. (2025). Dark sides of algorithmic control in app-based gig work: An objectification perspective. Journal of Business Research. 195. 115407–115407. 3 indexed citations
2.
3.
Xu, Yongshun, Ming Chi, Cen-Ying Lee, Heap‐Yih Chong, & Martin Skitmore. (2025). Effect of blockchain and inter-organizational trust on collaboration between contractors and supply chain partners. Ain Shams Engineering Journal. 16(6). 103396–103396.
4.
Wu, Yicheng, Ming Chi, Yongshun Xu, & Yanli Chen. (2025). The double-edged sword effects of self-objectification on app workers’ proactive service behavior in the gig economy. Computers in Human Behavior. 166. 108577–108577. 2 indexed citations
5.
Wang, Lin, et al.. (2025). The effect of blockchain on construction supply chain resilience: A mediated moderation model. Ain Shams Engineering Journal. 16(2). 103253–103253. 3 indexed citations
6.
Chi, Ming, et al.. (2025). Critical success factors for metaverse implementation in the service industry: A hybrid ISM-DEMATEL approach. Journal of Retailing and Consumer Services. 87. 104424–104424. 1 indexed citations
7.
Chong, Heap‐Yih, et al.. (2025). Dynamic interplay for blockchain-smart contracts (SC) adoption among government, private owners and general contractors across stages of contract development. Engineering Construction & Architectural Management. 1 indexed citations
8.
Chi, Ming, et al.. (2024). How does the anthropomorphism of service robots impact employees’ role service behavior in the workplace?. International Journal of Hospitality Management. 122. 103857–103857. 16 indexed citations
9.
Xu, Yongshun, Ming Chi, Heap‐Yih Chong, Cen-Ying Lee, & Keyu Chen. (2024). When BIM meets blockchain: a mixed-methods literature review. Journal of Civil Engineering and Management. 30(7). 646–669. 2 indexed citations
10.
Chi, Ming, et al.. (2024). Modelling barriers to metaverse adoption in the hospitality and tourism industry. Information Technology & Tourism. 26(4). 711–743. 12 indexed citations
11.
Liu, Guoliang, et al.. (2024). WHAT HINDERS INTERNET OF THINGS (IOT) ADOPTION IN THE CHINESE CONSTRUCTION INDUSTRY: A MIXED-METHOD. Journal of Civil Engineering and Management. 30(1). 1–18. 6 indexed citations
12.
Chong, Heap‐Yih, et al.. (2023). The Adoption Intentions of Wearable Technology for Construction Safety. Buildings. 13(11). 2747–2747. 7 indexed citations
13.
Chi, Ming, Heap‐Yih Chong, & Yongshun Xu. (2022). The effects of shared vision on value co-creation in megaprojects: A multigroup analysis between clients and main contractors. International Journal of Project Management. 40(3). 218–234. 32 indexed citations
14.
Xu, Yongshun, Ming Chi, & Heap‐Yih Chong. (2022). Interaction Aspects of Value Co-Creation Process toward Shared Vision in Megaprojects. Buildings. 12(11). 1956–1956.
15.
Xu, Yongshun, Heap‐Yih Chong, & Ming Chi. (2021). Blockchain in the AECO industry: Current status, key topics, and future research agenda. Automation in Construction. 134. 104101–104101. 74 indexed citations
16.
Liu, Guoliang, et al.. (2021). When Blockchain Meets the AEC Industry: Present Status, Benefits, Challenges, and Future Research Opportunities. Buildings. 11(8). 340–340. 33 indexed citations
17.
Xu, Yongshun, Heap‐Yih Chong, & Ming Chi. (2021). Impact of Contractual Flexibility on BIM-Enabled PPP Project Performance during the Construction Phase. Journal of Infrastructure Systems. 28(1). 19 indexed citations
18.
Liu, Guoliang, et al.. (2021). Enhancing Trust Between PPP Partners: The Role of Contractual Functions and Information Transparency. SAGE Open. 11(3). 12 indexed citations
19.
Xu, Yongshun, Heap‐Yih Chong, & Ming Chi. (2021). A Review of Smart Contracts Applications in Various Industries: A Procurement Perspective. Advances in Civil Engineering. 2021(1). 32 indexed citations
20.
Li, Chuanyun, Xia Cao, & Ming Chi. (2020). Research on an evolutionary game model and simulation of a cluster innovation network based on fairness preference. PLoS ONE. 15(1). e0226777–e0226777. 5 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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