Sungbum Pan

813 citations
39 papers · 512 · h-index 13

Impact in

Papers in

Sungbum Pan

36 papers receiving 480 citations

Peers

Sungbum Pan
Comparison fields: 5 of 83
  • Computer Networks and Communications 133
  • Human-Computer Interaction 31
  • Cognitive Neuroscience 103
  • Computer Vision and Pattern Recognition 89
  • Cardiology and Cardiovascular Medicine 80
Replace Turke Althobaiti with:
Turke Althobaiti Saudi Arabia
Zhenhua Jia China
Alam Noor China
Mohammad A. Haque Denmark
Fawad Fawad Pakistan
Yingnan Sun United Kingdom
Stefan Oniga Hungary
Azrina Abd Aziz Malaysia
Carlos V. Regueiro Spain
Pranesh Das India
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Citations per field
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Citations per year

Countries citing papers authored by Sungbum Pan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Sungbum Pan Line = papers co-authored together Sungbum Pan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201990
2 202355
3 201937
4 201737
5 201835
6 200534
7 202123
8 201922
9 201918
10 200817
11 201816
12 201815
13 202412
14 200812
15 202210
16 20089
17 20049
18 20249
19 20188
20 20246

About Sungbum Pan

Sungbum Pan is a scholar working on Cognitive Neuroscience, Biomedical Engineering, Computer Networks and Communications, Electrical and Electronic Engineering and Information Systems, having authored 39 papers that have together received 512 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (12 papers), Biometric Identification and Security (7 papers), User Authentication and Security Systems (7 papers), Muscle activation and electromyography studies (6 papers), Wireless Body Area Networks (5 papers), ECG Monitoring and Analysis (5 papers), Vehicular Ad Hoc Networks (VANETs) (4 papers) and Advanced Authentication Protocols Security (4 papers). The work is most often cited by research in Computer Networks and Communications (133 citations), Human-Computer Interaction (31 citations), Cognitive Neuroscience (103 citations), Computer Vision and Pattern Recognition (89 citations) and Cardiology and Cardiovascular Medicine (80 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, Pankoo Kim, Dongmin Choi, Jin-Su Kim, Kyung Hee Lee, Yongwha Chung and Gyu Ho Choi. Their work appears in journals such as IEEE Access, Sensors, Applied Sciences, Sustainability and EURASIP Journal on Wireless Communications and Networking.

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.

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