Hoon Ko
Impact in
-
- Network Security and Intrusion Detection
- IoT and Edge/Fog Computing
- Software-Defined Networks and 5G
- Information Systems top 5%
- Blockchain Technology Applications and Security
- AI and Big Data Applications
Papers in
-
- IoT and Edge/Fog Computing 8
- Network Security and Intrusion Detection 7
- Internet of Things and Social Network Interactions 6
- Co-authors
- Amit Kumar Singh (5 shared papers)Jaehoon Jeong (2 shared papers)Hyoungshick Kim (3 shared papers)Zhihan Lv (2 shared papers)Marek R. Ogiela (6 shared papers)Anand Mohan (1 shared paper)Ashima Anand (1 shared paper)Goreti Marreiros (15 shared papers)
- Journals
- Sensors (4 papers)Electronics (3 papers)IEEE Access (2 papers)Journal of Medical Systems (2 papers)ACM Transactions on Multimedia Computing Communications and Applications (2 papers)
- Partner nations
- South KoreaPortugalCzechia
In The Last Decade
Hoon Ko
78 papers receiving 582 citations
Peers
Comparison fields: 5 of 106
- Computer Networks and Communications 167
- Information Systems 158
- Health Information Management 24
- Computer Vision and Pattern Recognition 102
- Signal Processing 48
Countries citing papers authored by Hoon Ko
This map shows the geographic impact of Hoon Ko'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 Hoon Ko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hoon Ko more than expected).
Fields of papers citing papers by Hoon Ko
This network shows the impact of papers produced by Hoon Ko. 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 Hoon Ko. The network helps show where Hoon Ko may publish in the future.
Co-authors
The 25 scholars most cited alongside Hoon Ko, 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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 59 | |
| 2 | 2021 | 53 | |
| 3 | 2015 | 48 | |
| 4 | 2019 | 30 | |
| 5 | 2021 | 24 | |
| 6 | 2020 | 23 | |
| 7 | 2019 | 19 | |
| 8 | 2016 | 17 | |
| 9 | 2020 | 17 | |
| 10 | 2012 | 17 | |
| 11 | 2020 | 16 | |
| 12 | 2021 | 15 | |
| 13 | 2022 | 14 | |
| 14 | 2020 | 13 | |
| 15 | 2020 | 12 | |
| 16 | 2020 | 12 | |
| 17 | 2021 | 11 | |
| 18 | 2019 | 10 | |
| 19 | 2021 | 9 | |
| 20 | 2000 | 9 |
About Hoon Ko
Hoon Ko is a scholar working on Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition, Artificial Intelligence and Health Information Management, having authored 85 papers that have together received 607 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (9 papers), IoT and Edge/Fog Computing (8 papers), Innovation in Digital Healthcare Systems (8 papers), EEG and Brain-Computer Interfaces (7 papers), Network Security and Intrusion Detection (7 papers), ECG Monitoring and Analysis (6 papers), Internet of Things and Social Network Interactions (6 papers) and Biometric Identification and Security (5 papers). The work is most often cited by research in Computer Networks and Communications (167 citations), Information Systems (158 citations), Health Information Management (24 citations), Computer Vision and Pattern Recognition (102 citations) and Signal Processing (48 citations). Hoon Ko has collaborated with scholars based in South Korea, Portugal and Czechia. Frequent co-authors include Amit Kumar Singh, Jaehoon Jeong, Hyoungshick Kim, Zhihan Lv, Marek R. Ogiela, Anand Mohan, Ashima Anand, Goreti Marreiros, Junho Choi and Sung Bum Pan. Their work appears in journals such as Sensors, Electronics, IEEE Access, Journal of Medical Systems and ACM Transactions on Multimedia Computing Communications and 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.