Kae H. Chung
- Organizational Behavior and Human Resource Management top 1%
- Strategy and Management top 2%
- Sociology and Political Science top 5%
- Accounting top 5%
- Communication top 5%
- Co-authors
- William G. OuchiMichael LubatkinRonald C. RogersJames E. OwersFrederic B. KraftLeon C. MegginsonT. J. PempelMichael J. Ferris
- Topics
- Family Business Performance and Succession (4 papers)Corporate Finance and Governance (4 papers)Human Behavior and Motivation (2 papers)
- Cited by
- Organizational Behavior and Human Resource ManagementPublic AdministrationStrategy and Management
- Partner nations
- United StatesJapanSouth Korea
In The Last Decade
Kae H. Chung
25 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Organizational Behavior and Human Resource Management 594
- Strategy and Management 447
- Sociology and Political Science 286
- Accounting 203
- Communication 162
Countries citing papers authored by Kae H. Chung
This map shows the geographic impact of Kae H. Chung'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 Kae H. Chung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kae H. Chung more than expected).
Fields of papers citing papers by Kae H. Chung
This network shows the impact of papers produced by Kae H. Chung. 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 Kae H. Chung. The network helps show where Kae H. Chung may publish in the future.
Co-authorship network of co-authors of Kae H. Chung
This figure shows the co-authorship network connecting the top 25 collaborators of Kae H. Chung. A scholar is included among the top collaborators of Kae H. Chung 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 Kae H. Chung. Kae H. Chung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 43 | |
| 3 | 42 | |
| 4 | 31 | |
| 5 | Korean managerial dynamics | 52 |
| 6 | 12 | |
| 7 | 3 | |
| 8 | Do Insiders Make Better CEOs than | 2 |
| 9 | 8 | |
| 10 | Theory Z: How American Business Can Meet the Japanese Challengebreakdown → | 1117 |
| 11 | 16 | |
| 12 | Organizational behavior: Developing managerial skills | 22 |
| 13 | Motivational theories and practices | 35 |
| 14 | 11 | |
| 15 | 29 | |
| 16 | 1 | |
| 17 | 3 | |
| 18 | 1 | |
| 19 | 0 | |
| 20 | 1 |
About Kae H. Chung
Kae H. Chung is a scholar working on Organizational Behavior and Human Resource Management, General Decision Sciences and Applied Psychology, having authored 27 papers that have together received 1.5k indexed citations. Recurring topics across this work include Family Business Performance and Succession (4 papers), Corporate Finance and Governance (4 papers) and Human Behavior and Motivation (2 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (594 citations), Public Administration (108 citations) and Strategy and Management (447 citations). Kae H. Chung has collaborated with scholars based in United States, Japan and South Korea. Frequent co-authors include William G. Ouchi, Michael Lubatkin, Ronald C. Rogers, James E. Owers, Frederic B. Kraft, Leon C. Megginson, T. J. Pempel and Michael J. Ferris. Their work appears in journals such as Academy of Management Review, Academy of Management Journal and Administrative Science Quarterly.
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.