Sungbum Pan
Impact in
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
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- Advanced Authentication Protocols Security
- IoT and Edge/Fog Computing
Papers in
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- EEG and Brain-Computer Interfaces 15
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- Muscle activation and electromyography studies 7
- Wireless Body Area Networks 6
- Co-authors
- Keun-Chang Kwak (5 shared papers)Muhammad Yeasir Arafat (4 shared papers)Ilyong Chung (4 shared papers)Haowen Tan (4 shared papers)Dongmin Choi (3 shared papers)Pankoo Kim (3 shared papers)Jin-Su Kim (7 shared papers)Kyung Hee Lee (1 shared paper)
- Journals
- IEEE Access (5 papers)Sensors (3 papers)Applied Sciences (2 papers)Sustainability (2 papers)Symmetry (2 papers)
- Partner nations
- South KoreaChinaIndia
In The Last Decade
Sungbum Pan
39 papers receiving 481 citations
Peers
Comparison fields: 5 of 83
- Cognitive Neuroscience 119
- Computer Networks and Communications 131
- Human-Computer Interaction 31
- Computer Vision and Pattern Recognition 92
- Cardiology and Cardiovascular Medicine 93
Countries citing papers authored by Sungbum Pan
This map shows the geographic impact of Sungbum Pan'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 Sungbum Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sungbum Pan more than expected).
Fields of papers citing papers by Sungbum Pan
This network shows the impact of papers produced by Sungbum Pan. 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 Sungbum Pan. The network helps show where Sungbum Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Sungbum Pan, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 88 | |
| 2 | 2023 | 52 | |
| 3 | 2017 | 37 | |
| 4 | 2019 | 36 | |
| 5 | 2018 | 35 | |
| 6 | 2005 | 34 | |
| 7 | 2021 | 23 | |
| 8 | 2019 | 21 | |
| 9 | 2019 | 18 | |
| 10 | 2008 | 17 | |
| 11 | 2018 | 16 | |
| 12 | 2018 | 15 | |
| 13 | 2024 | 12 | |
| 14 | 2008 | 12 | |
| 15 | 2022 | 10 | |
| 16 | 2020 | 9 | |
| 17 | 2004 | 9 | |
| 18 | 2024 | 9 | |
| 19 | 2008 | 8 | |
| 20 | 2018 | 7 |
About Sungbum Pan
Sungbum Pan is a scholar working on Cognitive Neuroscience, Biomedical Engineering, Cardiology and Cardiovascular Medicine, Computer Networks and Communications and Signal Processing, having authored 45 papers that have together received 517 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (15 papers), ECG Monitoring and Analysis (9 papers), Biometric Identification and Security (8 papers), Muscle activation and electromyography studies (7 papers), User Authentication and Security Systems (7 papers), Wireless Body Area Networks (6 papers), Advanced Authentication Protocols Security (4 papers) and Face and Expression Recognition (4 papers). The work is most often cited by research in Cognitive Neuroscience (119 citations), Computer Networks and Communications (131 citations), Human-Computer Interaction (31 citations), Computer Vision and Pattern Recognition (92 citations) and Cardiology and Cardiovascular Medicine (93 citations). Sungbum Pan has collaborated with scholars based in South Korea, China and India. Frequent co-authors include Keun-Chang Kwak, Muhammad Yeasir Arafat, Ilyong Chung, Haowen Tan, Dongmin Choi, Pankoo Kim, Jin-Su Kim, Kyung Hee Lee, Gyu Ho Choi and Yongwha Chung. Their work appears in journals such as IEEE Access, Sensors, Applied Sciences, Sustainability and Symmetry.
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.