Jae Kwon Bae
Impact in
- Accounting top 5%
- Financial Distress and Bankruptcy Prediction
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- Stock Market Forecasting Methods
- Forecasting Techniques and Applications
Papers in
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- Imbalanced Data Classification Techniques 8
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- Data Mining Algorithms and Applications 6
- Co-authors
- Byeonghwa Park (1 shared paper)Sungbin Cho (1 shared paper)Daewon Kim (1 shared paper)Dae‐Won Kim (1 shared paper)Namho Lee (2 shared papers)Chulmo Koo (2 shared papers)Jungwoo Lee (1 shared paper)Kyung Jin (1 shared paper)
- Journals
- Expert Systems with Applications (9 papers)Information Systems Frontiers (1 paper)Journal of Convergence Information Technology (2 papers)International Journal of Distributed Sensor Networks (1 paper)GLOBAL BUSINESS & FINANCE REVIEW (2 papers)
- Partner nations
- South Korea
In The Last Decade
Jae Kwon Bae
31 papers receiving 538 citations
Peers
Comparison fields: 5 of 98
- Accounting 126
- Management Science and Operations Research 116
- Economics and Econometrics 180
- Information Systems and Management 44
- Marketing 51
Countries citing papers authored by Jae Kwon Bae
This map shows the geographic impact of Jae Kwon Bae'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 Jae Kwon Bae with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jae Kwon Bae more than expected).
Fields of papers citing papers by Jae Kwon Bae
This network shows the impact of papers produced by Jae Kwon Bae. 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 Jae Kwon Bae. The network helps show where Jae Kwon Bae may publish in the future.
Co-authors
The 8 scholars most cited alongside Jae Kwon Bae, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 252 | |
| 2 | 2011 | 63 | |
| 3 | 2007 | 59 | |
| 4 | 2012 | 51 | |
| 5 | 2009 | 24 | |
| 6 | 2020 | 16 | |
| 7 | 2012 | 16 | |
| 8 | 2008 | 15 | |
| 9 | 2010 | 10 | |
| 10 | 2011 | 9 | |
| 11 | 2015 | 9 | |
| 12 | 2020 | 9 | |
| 13 | 2009 | 8 | |
| 14 | 2018 | 8 | |
| 15 | 2010 | 8 | |
| 16 | 2013 | 5 | |
| 17 | A Study on the Information Cascades Effects of the Offline WOM and Online Review | 2010 | 4 |
| 18 | 2016 | 4 | |
| 19 | 2014 | 3 | |
| 20 | 2023 | 2 |
About Jae Kwon Bae
Jae Kwon Bae is a scholar working on Artificial Intelligence, Information Systems, Accounting, Information Systems and Management and Management Science and Operations Research, having authored 35 papers that have together received 593 indexed citations. Recurring topics across this work include Financial Distress and Bankruptcy Prediction (9 papers), Technology Adoption and User Behaviour (8 papers), Imbalanced Data Classification Techniques (8 papers), Data Mining Algorithms and Applications (6 papers), Stock Market Forecasting Methods (6 papers), Digital Marketing and Social Media (4 papers), Innovation in Digital Healthcare Systems (4 papers) and Consumer Perception and Purchasing Behavior (3 papers). The work is most often cited by research in Accounting (126 citations), Management Science and Operations Research (116 citations), Economics and Econometrics (180 citations), Information Systems and Management (44 citations) and Marketing (51 citations). Jae Kwon Bae has collaborated with scholars based in South Korea. Frequent co-authors include Byeonghwa Park, Sungbin Cho, Daewon Kim, Dae‐Won Kim, Namho Lee, Chulmo Koo, Jungwoo Lee and Kyung Jin. Their work appears in journals such as Expert Systems with Applications, Information Systems Frontiers, Journal of Convergence Information Technology, International Journal of Distributed Sensor Networks and GLOBAL BUSINESS & FINANCE REVIEW.
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.