Ye Dai

1.7k total citations · 1 hit paper
27 papers, 1.2k citations indexed

About

Ye Dai is a scholar working on Organizational Behavior and Human Resource Management, Strategy and Management and Communication. According to data from OpenAlex, Ye Dai has authored 27 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Organizational Behavior and Human Resource Management, 8 papers in Strategy and Management and 4 papers in Communication. Recurrent topics in Ye Dai's work include Job Satisfaction and Organizational Behavior (9 papers), Innovation and Knowledge Management (6 papers) and Business Strategy and Innovation (3 papers). Ye Dai is often cited by papers focused on Job Satisfaction and Organizational Behavior (9 papers), Innovation and Knowledge Management (6 papers) and Business Strategy and Innovation (3 papers). Ye Dai collaborates with scholars based in United States, South Korea and China. Ye Dai's co-authors include Donald Lange, Peggy M. Lee, Gukdo Byun, Soojin Lee, Philip T. Roundy, Steven J. Karau, Kui Du, John C. Goodale, Xi Zhu and Jay Chok and has published in prestigious journals such as Nano Letters, Journal of Management and Journal of Business Research.

In The Last Decade

Ye Dai

25 papers receiving 1.2k citations

Hit Papers

Organizational Reputation: A Review 2010 2026 2015 2020 2010 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Organizational Reputation: A Review
    2010 648 citations Donald Lange, Peggy M. Lee et al. Journal of Management profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ye Dai United States 12 712 384 294 201 191 27 1.2k
Michael J. Mannor United States 13 625 0.9× 459 1.2× 430 1.5× 168 0.8× 221 1.2× 23 1.4k
Alison Mackey United States 9 788 1.1× 568 1.5× 305 1.0× 129 0.6× 153 0.8× 15 1.3k
Bindu Arya United States 17 838 1.2× 434 1.1× 252 0.9× 165 0.8× 235 1.2× 27 1.5k
John Mezias United States 12 867 1.2× 352 0.9× 444 1.5× 151 0.8× 158 0.8× 18 1.4k
Adelaide Wilcox King United States 12 807 1.1× 349 0.9× 173 0.6× 200 1.0× 88 0.5× 22 1.3k
Abhinav Gupta United States 15 930 1.3× 500 1.3× 625 2.1× 176 0.9× 321 1.7× 30 1.7k
Patrick G. Maggitti United States 8 649 0.9× 254 0.7× 322 1.1× 196 1.0× 116 0.6× 11 1.1k
Ernst Verwaal Netherlands 16 729 1.0× 536 1.4× 226 0.8× 232 1.2× 174 0.9× 46 1.5k
David Kryscynski United States 13 777 1.1× 513 1.3× 387 1.3× 309 1.5× 173 0.9× 22 1.6k
Taco H. Reus Netherlands 16 853 1.2× 378 1.0× 600 2.0× 144 0.7× 94 0.5× 25 1.3k

Countries citing papers authored by Ye Dai

Since Specialization
Citations

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

Fields of papers citing papers by Ye Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ye Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Ye Dai. A scholar is included among the top collaborators of Ye Dai 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 Ye Dai. Ye Dai 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.
2.
Lee, Ji Hoon, et al.. (2025). Unraveling the dynamics of supervisor-subordinate knowledge sharing: a study of South Korean police officers. Journal of Knowledge Management. 29(3). 915–936.
3.
Ni, Lan, Ye Dai, & Miao Pan. (2025). I See the Problem, Why Don’t You? Examining Problem Irrecognition through the Context of COVID-19. Journal of Public Relations Research. 37(3). 297–318. 1 indexed citations
4.
5.
Ni, Lan, Ye Dai, & Wenlin Liu. (2022). Dynamics between fragmentation and unity: Identity and nonprofit relationship management in the Asian American Community. Public Relations Review. 48(2). 102157–102157. 2 indexed citations
6.
Byun, Gukdo, Soojin Lee, Steven J. Karau, & Ye Dai. (2020). The trickle-down effect of empowering leadership: a boundary condition of performance pressure. Leadership & Organization Development Journal. 41(3). 399–414. 37 indexed citations
7.
Lee, Soojin, et al.. (2020). Leader narcissism and subordinate change-oriented organizational citizenship behavior: Overall justice as a moderator. Social Behavior and Personality An International Journal. 48(7). 1–12. 11 indexed citations
8.
Byun, Gukdo, Steven J. Karau, Ye Dai, & Soojin Lee. (2018). A three-level examination of the cascading effects of ethical leadership on employee outcomes: A moderated mediation analysis. Journal of Business Research. 88. 44–53. 75 indexed citations
9.
Lee, Soojin, Gukdo Byun, & Ye Dai. (2017). The Trickle-down Effect of Ethical Leadership : The Moderating effect of Exchange Ideology. The Korean Academic Association of Business Administration. 30(4). 689–710. 1 indexed citations
10.
Byun, Gukdo, Ye Dai, Soojin Lee, & Seung‐Wan Kang. (2017). Leader Trust, Competence, LMX, and Member Performance: A Moderated Mediation Framework. Psychological Reports. 120(6). 1137–1159. 36 indexed citations
11.
Dai, Ye, et al.. (2017). Strategic Flexibility in New High‐Technology Ventures. Journal of Management Studies. 55(2). 265–294. 68 indexed citations
12.
Dai, Ye, Gukdo Byun, & Soojin Lee. (2017). Vicarious Learning across Distance and Firm Growth in High Technology New Ventures. Academy of Management Proceedings. 2017(1). 14721–14721. 1 indexed citations
13.
Du, Kui & Ye Dai. (2017). The doctrine of the mean: Reference groups and public information systems development. The Journal of Strategic Information Systems. 27(3). 257–273. 7 indexed citations
14.
Dai, Ye, Kui Du, Gukdo Byun, & Xi Zhu. (2017). Ambidexterity in new ventures: The impact of new product development alliances and transactive memory systems. Journal of Business Research. 75. 77–85. 62 indexed citations
15.
16.
Byun, Gukdo, Ye Dai, & Soojin Lee. (2016). A Structural View of Employee Voice: Propositions Based on the Social Network Perspective. The Korean Academic Association of Business Administration. 29(8). 1241–1259. 1 indexed citations
17.
Roundy, Philip T., et al.. (2016). Motivated to change? TMT regulatory focus and strategic change. Management Research Review. 39(7). 803–829. 7 indexed citations
18.
Dai, Ye & Jay Chok. (2014). Unlocking the Effects of Transactive Memory System on Performance: The Mediating Roles of EO. Academy of Management Proceedings. 2014(1). 14156–14156. 1 indexed citations
19.
Lange, Donald, Peggy M. Lee, & Ye Dai. (2010). Organizational Reputation: A Review. Journal of Management. 37(1). 153–184. 648 indexed citations breakdown →
20.
Dai, Ye. (2000). SUSTAINABLE DEVELOPMENT OF TOURIST INDUSTRY IN THE AREAS ALONG THE SOUTHERN SECTION OF BEIJING——KOWLOON RAILWAY. Tropical Geography. 1 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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