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 Chia-Feng Juang sits on this spectrum.
This scientist: 179 publications — 23rd percentile
23% 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 Chia-Feng Juang sits on this spectrum.
This scientist: 50 D-Index — 60th percentile
60% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 111 D-Index or more.
Chia-Feng Juang is affiliated with National Chung Hsing University in Taiwan. Their research spans multiple fields including Computer Science, Engineering, and Medicine, with a focus on subfields such as Artificial Intelligence, Computer Vision and Pattern Recognition, Biomedical Engineering, Electrical and Electronic Engineering, and Control and Systems Engineering.
Their main research topics cover areas including Non-Invasive Vital Sign Monitoring, Robotic Path Planning Algorithms, Fuzzy Logic and Control Systems, Neural Networks and Applications, Obstructive Sleep Apnea Research, Heart Rate Variability and Autonomic Control, and ECG Monitoring and Analysis.
Notable recent papers authored or co-authored by Juang include:
The scientist has frequently published in venues such as IEEE Transactions on Fuzzy Systems, Biomedical Signal Processing and Control, IEEE Transactions on Cybernetics, International Journal of Fuzzy Systems, and Journal of the Chinese Institute of Engineers.
Frequent co-authors include Mousmi Ajay Chaurasia, Stefan Mozar, Chun-Liang Lin, Bin Huang, and Weihai Chen.
Juang has contributed to book publications with Springer International Publishing and Springer Science+Business Media. Titles include "Emerging IT/ICT and AI Technologies Affecting Society" (2022) and "Machine Learning Applications in Renewable Energy" (2025).
In recognition of contributions to data-driven fuzzy systems, Juang was awarded the IEEE Fellow distinction in 2019.
Chia-Feng Juang
Chia-Feng Juang;Chin-Teng Lin
Chia-Feng Juang
Chia-Feng Juang;Chin-Teng Lin
Chia-Feng Juang;Yu-Wei Tsao
Chia-Feng Juang;Jiann-Yow Lin;Chin-Teng Lin
Chia-Feng Juang;Chia-Hung Hsu
Chia-Feng Juang;Chia-Ming Chang
Chia-Feng Juang;Yu-Cheng Chang
Jiangfeng Cheng;Jiangfeng Cheng;He Zhang;Fei Tao;Chia-Feng Juang
Chia-Feng Juang;Po-Han Chang
Chia-Feng Juang;Ren-Bo Huang;Yang-Yin Lin
C.-F. Juang;C.-F. Lu
Chia-Feng Juang;Ren-Bo Huang;Wei-Yuan Cheng
Chia-Feng Juang;Yu-Wei Tsao
Chia-Feng Juang;Che-Meng Hsiao;Chia-Hung Hsu
Chia-Hung Hsu;Chia-Feng Juang
Chia-Feng Juang;Yang-Yin Lin;Chiu-Chuan Tu
Chia-Feng Juang;Chun-Ming Lu;Chiang Lo;Chi-Yen Wang
Chia-Feng Juang;Shih-Hsuan Chiu;Shu-Wew Chang
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