Qingfei Min

2.3k total citations · 2 hit papers
58 papers, 1.7k citations indexed

About

Qingfei Min is a scholar working on Sociology and Political Science, Information Systems and Management and Organizational Behavior and Human Resource Management. According to data from OpenAlex, Qingfei Min has authored 58 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Sociology and Political Science, 31 papers in Information Systems and Management and 10 papers in Organizational Behavior and Human Resource Management. Recurrent topics in Qingfei Min's work include Technology Adoption and User Behaviour (30 papers), Digital Marketing and Social Media (28 papers) and Customer Service Quality and Loyalty (8 papers). Qingfei Min is often cited by papers focused on Technology Adoption and User Behaviour (30 papers), Digital Marketing and Social Media (28 papers) and Customer Service Quality and Loyalty (8 papers). Qingfei Min collaborates with scholars based in China, Canada and United States. Qingfei Min's co-authors include Shaobo Ji, Shengnan Han, Gang Qu, Chao Su, Bo Wang, Xiaogang Li, Zilong Liu, Yanbo Wang, Qingguo Zhai and Russell Smyth and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers in Human Behavior and Frontiers in Psychology.

In The Last Decade

Qingfei Min

56 papers receiving 1.6k citations

Hit Papers

Machine Learning based Digital Twin Framework for Product... 2019 2026 2021 2023 2019 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qingfei Min China 18 858 638 289 281 187 58 1.7k
Kamel Rouibah Kuwait 19 609 0.7× 664 1.0× 134 0.5× 258 0.9× 102 0.5× 55 1.4k
Kanliang Wang China 21 796 0.9× 572 0.9× 119 0.4× 319 1.1× 130 0.7× 93 2.0k
Cheng‐Kiang Farn Taiwan 15 683 0.8× 657 1.0× 106 0.4× 374 1.3× 241 1.3× 36 1.5k
Alexander Richter Germany 25 872 1.0× 464 0.7× 233 0.8× 292 1.0× 812 4.3× 138 2.2k
Pedro R. Palos‐Sánchez Spain 28 913 1.1× 479 0.8× 95 0.3× 476 1.7× 133 0.7× 101 2.4k
Sherah Kurnia Australia 26 703 0.8× 783 1.2× 153 0.5× 344 1.2× 217 1.2× 159 2.5k
Vincent Cho Hong Kong 25 806 0.9× 552 0.9× 55 0.2× 299 1.1× 191 1.0× 76 2.0k
Frans Feldberg Netherlands 16 748 0.9× 462 0.7× 77 0.3× 446 1.6× 97 0.5× 30 1.8k
Henner Gimpel Germany 20 603 0.7× 223 0.3× 148 0.5× 416 1.5× 101 0.5× 109 1.9k
Sutirtha Chatterjee United States 19 513 0.6× 383 0.6× 75 0.3× 149 0.5× 154 0.8× 48 1.4k

Countries citing papers authored by Qingfei Min

Since Specialization
Citations

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

Fields of papers citing papers by Qingfei Min

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingfei Min

This figure shows the co-authorship network connecting the top 25 collaborators of Qingfei Min. A scholar is included among the top collaborators of Qingfei Min 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 Qingfei Min. Qingfei Min 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, Zhenzhen & Qingfei Min. (2025). Self-recovery or human Intervention? understanding the role of task type and failure frequency in chatbot failure recovery. Journal of Retailing and Consumer Services. 87. 104444–104444. 1 indexed citations
2.
Chen, Shang, et al.. (2024). A Dual-Role Trust Model for Social Media Influencers: The Paradox of Perceived Friendship. Social Science Computer Review. 44(2). 351–374.
3.
Lu, Zhenzhen, et al.. (2024). The effect of the anthropomorphic design of chatbots on customer switching intention when the chatbot service fails: An expectation perspective. International Journal of Information Management. 76. 102767–102767. 37 indexed citations
4.
Min, Qingfei, et al.. (2024). Exploring continued usage of an AI teaching assistant among university students: A temporal distance perspective. Information & Management. 61(6). 104012–104012. 5 indexed citations
5.
Chen, Shang, et al.. (2022). Understanding the Relative Impact of Dual Identification on Brand Loyalty on Social Media: The Regulatory Fit Perspective in Different Cultures. Frontiers in Psychology. 13. 901706–901706. 1 indexed citations
6.
Liu, Zhiyong, et al.. (2021). A digital twin-enabled value stream mapping approach for production process reengineering in SMEs. International Journal of Computer Integrated Manufacturing. 34(7-8). 764–782. 38 indexed citations
7.
Min, Qingfei, et al.. (2021). What Motivates People Make Music Playlists? A Social Value Orientation Perspective.. Journal of the Association for Information Systems. 5. 1 indexed citations
8.
Wang, Xiaodi, et al.. (2020). User Switching Behavior: AI Chatbots or Human Agents?. Journal of the Association for Information Systems. 1 indexed citations
9.
Min, Qingfei, et al.. (2020). Understanding Live Streaming Shopping Intentions: A Vicarious Learning Perspective.. Journal of the Association for Information Systems. 108. 4 indexed citations
10.
Min, Qingfei, et al.. (2019). Understanding Members' Active Participation in a DAO: An Empirical Study on Steemit.. Journal of the Association for Information Systems. 197. 3 indexed citations
11.
Liu, Zilong, et al.. (2018). Social Cues in SNS Advertising. Journal of the Association for Information Systems. 1 indexed citations
12.
Min, Qingfei, et al.. (2017). Combined Effect of Economic Variables on Fraud, a Survey of Developing Countries. Economics & Sociology. 10(2). 267–278. 10 indexed citations
13.
Wang, Yanbo, Qingfei Min, & Shengnan Han. (2015). Understanding the effects of trust and risk on individual behavior toward social media platforms: A meta-analysis of the empirical evidence. Computers in Human Behavior. 56. 34–44. 114 indexed citations
14.
Liu, Zhenhua, Qingfei Min, & Zilong Liu. (2014). The Impact of Perceived Interactivity on Individual Participation in micro-Blogging.. Journal of the Association for Information Systems. 69. 3 indexed citations
15.
Wang, Yanbo, Qingfei Min, & Zhenhua Liu. (2014). A META-ANALYTIC REVIEW OF SOCIAL MEDIA STUDIES. Journal of the Association for Information Systems. 62. 3 indexed citations
16.
Liu, Zilong, et al.. (2014). The Impact of Mobile TradeManager on Fashion Product Sales: From Usability Perspective. Mathematical Problems in Engineering. 2014(1). 1 indexed citations
17.
Min, Qingfei, Yuping Li, & Shaobo Ji. (2009). The Effects of Individual-Level Culture on Mobile Commerce Adoption: An Empirical Study. 15. 305–312. 13 indexed citations
18.
Min, Qingfei, et al.. (2009). An Empirical Study of M-Commerce Adoption from Usability Perspective. 215–220. 10 indexed citations
19.
Min, Qingfei, et al.. (2008). Study on Trust in Mobile Commerce Adoption - A Conceptual Model. 246–249. 10 indexed citations
20.
Ji, Shaobo, et al.. (2004). Overview of Information Systems Research in China: An Empirical Study. Journal of the Association for Information Systems. 13. 4 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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