Cheol Liu
Impact in
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- Job Satisfaction and Organizational Behavior
- Communication top 5%
- Knowledge Management and Sharing
Papers in
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- Public Policy and Administration Research 5
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- Knowledge Management and Sharing 5
- Co-authors
- Montgomery Van WartJohn L. MikesellXiaohu WangAlexandru V. RomanTima T. MoldogazievAlma McCarthySoonhee KimChristopher V. Hawkins
- Journals
- The American Review of Public Administration (3 papers)Public Administration Review (3 papers)International Review of Administrative Sciences (2 papers)Public Performance & Management Review (2 papers)Governance (1 paper)
- Partner nations
- United StatesHong KongSouth Korea
In The Last Decade
Cheol Liu
24 papers receiving 766 citations
Peers
Comparison fields: 5 of 70
- Organizational Behavior and Human Resource Management 152
- Communication 94
- Public Administration 44
- Information Systems and Management 78
- Human Factors and Ergonomics 24
Countries citing papers authored by Cheol Liu
This map shows the geographic impact of Cheol Liu'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 Cheol Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheol Liu more than expected).
Fields of papers citing papers by Cheol Liu
This network shows the impact of papers produced by Cheol Liu. 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 Cheol Liu. The network helps show where Cheol Liu may publish in the future.
Co-authorship network
The 15 scholars most cited alongside Cheol Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 6 | |
| 3 | 2022 | 3 | |
| 4 | 2022 | 12 | |
| 5 | 2021 | 11 | |
| 6 | 2021 | 1 | |
| 7 | 2021 | 7 | |
| 8 | 2020 | 20 | |
| 9 | 2020 | 43 | |
| 10 | 2020 | 1 | |
| 11 | 2019 | 10 | |
| 12 | 2019 | 1 | |
| 13 | 2018 | 61 | |
| 14 | 2018 | 17 | |
| 15 | 2017 | 15 | |
| 16 | 2017 | 0 | |
| 17 | 2017 | 74 | |
| 18 | 2017 | 6 | |
| 19 | 2015 | 25 | |
| 20 | 2014 | 116 |
About Cheol Liu
Cheol Liu is a scholar working on Public Administration, Communication, Management Information Systems, Economics and Econometrics and Information Systems and Management, having authored 28 papers that have together received 821 indexed citations. Recurring topics across this work include Corruption and Economic Development (10 papers), Fiscal Policies and Political Economy (8 papers), Fiscal Policy and Economic Growth (8 papers), Information Technology Governance and Strategy (6 papers), Knowledge Management and Sharing (5 papers), Public Policy and Administration Research (5 papers), Local Government Finance and Decentralization (4 papers) and Technology Adoption and User Behaviour (3 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (152 citations), Communication (94 citations), Public Administration (44 citations), Information Systems and Management (78 citations) and Human Factors and Ergonomics (24 citations). Cheol Liu has collaborated with scholars based in United States, Hong Kong and South Korea. Frequent co-authors include Montgomery Van Wart, John L. Mikesell, Xiaohu Wang, Alexandru V. Roman, Tima T. Moldogaziev, Alma McCarthy, Soonhee Kim, Christopher V. Hawkins, Can Chen and Festus Fatai Adedoyin. Their work appears in journals such as The American Review of Public Administration, Public Administration Review, International Review of Administrative Sciences, Public Performance & Management Review and Governance.
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.