Sung Bum Pan

1.4k citations
94 papers · 875 indexed · h-index 15

Impact in

Papers in

Sung Bum Pan

84 papers receiving 787 citations

Peers

Sung Bum Pan
Comparison fields: 5 of 102
  • Signal Processing 267
  • Computer Vision and Pattern Recognition 304
  • Cognitive Neuroscience 216
  • Cardiology and Cardiovascular Medicine 244
  • Human-Computer Interaction 32
Replace Enrique Muñoz with:
Enrique Muñoz Italy
Baha Şen Türkiye
Vojtěch Franc Czechia
P. Karthigaikumar India
Xiaomao Fan China
Muhammad Ehatisham-ul-Haq Pakistan
Mohamed Khalil-Hani Malaysia
K. Vasanth India
Eduardo Luz Brazil
José Mira Spain
Sung Bum Pan relative to Enrique Muñoz Italy Enrique Muñoz's profile →
Citations per field
00.5×1.6×
Enrique Muñoz · 1×
Citations per year

Countries citing papers authored by Sung Bum Pan

Since Specialization
Citations

This map shows the geographic impact of Sung Bum 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 Sung Bum Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sung Bum Pan more than expected).

Fields of papers citing papers by Sung Bum Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sung Bum 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 Sung Bum Pan. The network helps show where Sung Bum Pan may publish in the future.

Co-authors

The 25 scholars most cited alongside Sung Bum 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 Sung Bum Pan Line = papers co-authored together Sung Bum Pan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20221
2 20214
3 20207
4 20182
5 20182
6
A Study on EMG-based Biometrics
201725
7 20170
8 201630
9 201529
10
The LDA-based Long Distance Face Recognition using Multiple Distance Face Image and Bilinear Interpolation
20130
11 20131
12 20132
13
Facial Expression Recognition by Tensor Representation from Video
20122
14
Fast polynomial reconstruction attack against fuzzy fingerprint vault
20111
15 201013
16 20096
17 20096
18 20037
19 20027
20
Implementation of a Fast Hierarchical Motion Vector Estimation Algorithm Using Mean Pyramid on Tms320C80 Dsp Board
19980

About Sung Bum Pan

Sung Bum Pan is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Human-Computer Interaction, Cognitive Neuroscience and Cardiology and Cardiovascular Medicine, having authored 94 papers that have together received 875 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (22 papers), ECG Monitoring and Analysis (21 papers), Biometric Identification and Security (20 papers), User Authentication and Security Systems (11 papers), Non-Invasive Vital Sign Monitoring (10 papers), Face recognition and analysis (9 papers), Advanced Data Compression Techniques (9 papers) and Face and Expression Recognition (9 papers). The work is most often cited by research in Signal Processing (267 citations), Computer Vision and Pattern Recognition (304 citations), Cognitive Neuroscience (216 citations), Cardiology and Cardiovascular Medicine (244 citations) and Human-Computer Interaction (32 citations). Sung Bum Pan has collaborated with scholars based in South Korea, United States and Czechia. Frequent co-authors include Pankoo Kim, Rae‐Hong Park, Daesung Moon, Jin-Su Kim, Yongwha Chung, Gyu Ho Choi, Chang Ho Seo, Seung‐Hoon Chae, Kiho Lim and Ikkyun Kim. Their work appears in journals such as IEEE Access, Sensors, ETRI Journal, Multimedia Tools and Applications and IEEE Transactions on Circuits and Systems for Video Technology.

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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