Heonho Kim
Impact in
- Information Systems top 2%
- Data Mining Algorithms and Applications
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- Rough Sets and Fuzzy Logic
Papers in
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- Data Mining Algorithms and Applications 18
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- Imbalanced Data Classification Techniques 9
- Data Stream Mining Techniques 6
- Neural Networks and Applications 2
- Co-authors
- Unil Yun (21 shared papers)Yoonji Baek (10 shared papers)Jerry Chun‐Wei Lin (11 shared papers)Bay Vo (8 shared papers)Bay Vo (6 shared papers)Witold Pedrycz (8 shared papers)Eunchul Yoon (4 shared papers)Hyoju Nam (5 shared papers)
- Journals
- Knowledge-Based Systems (5 papers)Future Generation Computer Systems (3 papers)IEEE Internet of Things Journal (2 papers)Information Sciences (2 papers)Expert Systems with Applications (2 papers)
- Partner nations
- South KoreaVietnamNorway
In The Last Decade
Heonho Kim
21 papers receiving 424 citations
Peers
Comparison fields: 5 of 37
- Information Systems 367
- Computational Theory and Mathematics 241
- Signal Processing 115
- Artificial Intelligence 250
- Computer Networks and Communications 53
Countries citing papers authored by Heonho Kim
This map shows the geographic impact of Heonho Kim'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 Heonho Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heonho Kim more than expected).
Fields of papers citing papers by Heonho Kim
This network shows the impact of papers produced by Heonho Kim. 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 Heonho Kim. The network helps show where Heonho Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Heonho Kim, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 48 | |
| 2 | 2019 | 47 | |
| 3 | 2020 | 38 | |
| 4 | 2021 | 35 | |
| 5 | 2020 | 33 | |
| 6 | 2022 | 29 | |
| 7 | 2023 | 27 | |
| 8 | 2022 | 27 | |
| 9 | 2020 | 22 | |
| 10 | 2022 | 16 | |
| 11 | 2022 | 16 | |
| 12 | 2022 | 15 | |
| 13 | 2020 | 15 | |
| 14 | 2023 | 13 | |
| 15 | 2011 | 13 | |
| 16 | 2021 | 13 | |
| 17 | 2024 | 7 | |
| 18 | 2024 | 6 | |
| 19 | 2024 | 3 | |
| 20 | 2011 | 1 |
About Heonho Kim
Heonho Kim is a scholar working on Information Systems, Artificial Intelligence, Computational Theory and Mathematics, Signal Processing and Computer Networks and Communications, having authored 23 papers that have together received 425 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (18 papers), Rough Sets and Fuzzy Logic (13 papers), Imbalanced Data Classification Techniques (9 papers), Data Stream Mining Techniques (6 papers), Data Management and Algorithms (3 papers), Time Series Analysis and Forecasting (3 papers), Neural Networks and Applications (2 papers) and Software System Performance and Reliability (1 paper). The work is most often cited by research in Information Systems (367 citations), Computational Theory and Mathematics (241 citations), Signal Processing (115 citations), Artificial Intelligence (250 citations) and Computer Networks and Communications (53 citations). Heonho Kim has collaborated with scholars based in South Korea, Vietnam and Norway. Frequent co-authors include Unil Yun, Yoonji Baek, Jerry Chun‐Wei Lin, Bay Vo, Bay Vo, Witold Pedrycz, Eunchul Yoon, Hyoju Nam, Chanhee Lee and Hyunsoo Kim. Their work appears in journals such as Knowledge-Based Systems, Future Generation Computer Systems, IEEE Internet of Things Journal, Information Sciences and Expert Systems with Applications.
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.