Dae-Ki Kang
Impact in
- Accounting top 5%
- Financial Distress and Bankruptcy Prediction
- Artificial Intelligence top 2%
- Imbalanced Data Classification Techniques
- Anomaly Detection Techniques and Applications
Papers in
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- Imbalanced Data Classification Techniques 11
- Domain Adaptation and Few-Shot Learning 8
- Anomaly Detection Techniques and Applications 8
- Text and Document Classification Technologies 7
- Adversarial Robustness in Machine Learning 6
- Machine Learning and Data Classification 6
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- Advanced Neural Network Applications 6
- Co-authors
- Imrus Salehin (1 shared paper)Hong Bae Kim (1 shared paper)Vasant Honavar (4 shared papers)Adrian Silvescu (3 shared papers)Ahmed Abdulhakim Al-Absi (7 shared papers)Prasant Kumar Pattnaik (2 shared papers)Jun Zhang (1 shared paper)Zhiyong Wang (3 shared papers)
- Journals
- Applied Intelligence (8 papers)Expert Systems with Applications (6 papers)Applied Sciences (6 papers)Electronics (4 papers)Sensors (4 papers)
- Partner nations
- South KoreaChinaUnited States
In The Last Decade
Dae-Ki Kang
81 papers receiving 1.0k citations
Dae-Ki Kang's Hit Papers
Peers
Comparison fields: 5 of 132
- Accounting 249
- Artificial Intelligence 569
- Signal Processing 136
- Finance 97
- Information Systems 180
Countries citing papers authored by Dae-Ki Kang
This map shows the geographic impact of Dae-Ki Kang'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 Dae-Ki Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dae-Ki Kang more than expected).
Fields of papers citing papers by Dae-Ki Kang
This network shows the impact of papers produced by Dae-Ki Kang. 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 Dae-Ki Kang. The network helps show where Dae-Ki Kang may publish in the future.
Co-authors
The 25 scholars most cited alongside Dae-Ki Kang, 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 91 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 204 | |
| 2 | 2014 | 141 | |
| 3 | 2018 | 102 | |
| 4 | 2005 | 101 | |
| 5 | A Review on Dropout Regularization Approaches for Deep Neural Networks within the Scholarly Domain Hit paper breakdown → | 2023 | 95 |
| 6 | 2012 | 64 | |
| 7 | 2005 | 32 | |
| 8 | 2021 | 27 | |
| 9 | 2015 | 24 | |
| 10 | 2020 | 18 | |
| 11 | 2017 | 15 | |
| 12 | 2005 | 15 | |
| 13 | 2017 | 14 | |
| 14 | 2021 | 14 | |
| 15 | 2008 | 12 | |
| 16 | 2016 | 12 | |
| 17 | 2020 | 10 | |
| 18 | 2024 | 9 | |
| 19 | 2021 | 9 | |
| 20 | 2012 | 8 |
About Dae-Ki Kang
Dae-Ki Kang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Computer Networks and Communications and Signal Processing, having authored 91 papers that have together received 1.1k indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (11 papers), Domain Adaptation and Few-Shot Learning (8 papers), Anomaly Detection Techniques and Applications (8 papers), Text and Document Classification Technologies (7 papers), Network Security and Intrusion Detection (7 papers), Adversarial Robustness in Machine Learning (6 papers), Advanced Neural Network Applications (6 papers) and Machine Learning and Data Classification (6 papers). The work is most often cited by research in Accounting (249 citations), Artificial Intelligence (569 citations), Signal Processing (136 citations), Finance (97 citations) and Information Systems (180 citations). Dae-Ki Kang has collaborated with scholars based in South Korea, China and United States. Frequent co-authors include Imrus Salehin, Hong Bae Kim, Vasant Honavar, Adrian Silvescu, Ahmed Abdulhakim Al-Absi, Prasant Kumar Pattnaik, Jun Zhang, Zhiyong Wang, Byung-Gook Lee and Hao Sun. Their work appears in journals such as Applied Intelligence, Expert Systems with Applications, Applied Sciences, Electronics and Sensors.
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.