The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Youngwoo Kwon sits on this spectrum.
This scientist: 278 publications — 52nd percentile
52% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 1,065 publications or more.
The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Youngwoo Kwon sits on this spectrum.
This scientist: 35 D-Index — 21st percentile
21% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 111 D-Index or more.
Youngwoo Kwon is affiliated with Seoul National University in South Korea. Their research primarily spans the fields of Computer Science and Engineering, with a focus on Artificial Intelligence, Geophysics, Signal Processing, Electrical and Electronic Engineering, and Computer Networks and Communications.
The main topics of their work include Seismology and Earthquake Studies, Earthquake Detection and Analysis, Seismic Waves and Analysis, Advanced Malware Detection Techniques, Anomaly Detection Techniques and Applications, Geophysics and Sensor Technology, and Network Security and Intrusion Detection.
Youngwoo Kwon's recent papers reflect their multidisciplinary approach, combining machine learning and sensor technologies within geophysical contexts:
Their frequent publication venues demonstrate a focus on both academic journals and conferences related to engineering, communications, and data:
Collaborations have been a significant aspect of Youngwoo Kwon's career, with frequent coauthors including:
These collaborations contribute to the interdisciplinary nature of their research in areas such as seismic data analysis, machine learning applications for earthquake detection, and signal processing technologies. The work cited includes studies on real-time P-wave detection, power amplifier design, and IoT-enabled earthquake early warning systems.
Hong-Teuk Kim;Jae-Hyoung Park;Sanghyo Lee;Seongho Kim
Hong-Teuk Kim;Jae-Hyoung Park;Yong-Kweon Kim;Youngwoo Kwon
Hong-Teuk Kim;Jae-Hyoung Park;Yong-Kweon Kim;Youngwoo Kwon
Hong-Teuk Kim;Sanghwa Jung;Kyungteh Kang;Jae-Hyoung Park
Jin Wook Choi;Jeiwon Cho;Yangsoo Lee;Jounghwa Yim
Chang-Wook Baek;Seunghyun Song;Jae-Hyoung Park;Sanghyo Lee
Hong-Teuk Kim;Jae-Hyoung Park;Jounghwa Yim;Yong-Kweon Kim
Jinho Jeon;Youngwoo Kwon;Sunyoung Lee;Changyul Cheon
Hyeonseok Hwang;Jounghwa Yim;Jei-Won Cho;Changyul Cheon
Y. Kwon;D. Pavlidis;T.L. Brock;D.C. Streit
Junghyun Kim;Won Ko;Sung-Ho Kim;Jinho Jeong
Youngmin Kim;Youngwoo Kwon
Hong-Teuk Kim;Jae-Hyoung Park;Yong-Kweon Kim;Youngwoo Kwon
Jeonghoon Yoon;Jeiwon Cho;Namgon Kim;Dae Duk Kim
Unha Kim;Sungyoon Kang;Jungrin Woo;Youngwoo Kwon
Byoungjoong Kang;Jeiwon Cho;Changyul Cheon;Youngwoo Kwon
Moon-Que Lee;Seung-June Yi;Sangwook Nam;Youngwoo Kwon
Jae-Hyoung Park;Hong-Teuk Kim;Youngwoo Kwon;Yong-Kweon Kim
Hong-Teuk Kim;Sanghwa Jung;Jae-Hyoung Park;Chang-Wook Baek
Y. Kwon;D. Pavlidis;T. Brock;D.C. Streit
Jaehong Park;E.S. Shim;Wooyeol Choi;Youngmin Kim
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