The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Chin-Teng Lin sits on this spectrum.
This scientist: 672 publications — 97th percentile
97% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Chin-Teng Lin sits on this spectrum.
This scientist: 94 D-Index — 97th percentile
97% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Chin-Teng Lin is affiliated with the University of Technology Sydney in Australia. Their research spans fields primarily within Computer Science and Neuroscience, with a notable emphasis on Cognitive Neuroscience and Artificial Intelligence. The scope of their work covers various specialized subfields, including Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology, and Electrical and Electronic Engineering.
Their main topics of investigation include EEG and Brain-Computer Interfaces, Neural dynamics and brain function, Neural Networks and Applications, Advanced Memory and Neural Computing, Sleep and Work-Related Fatigue, Functional Brain Connectivity Studies, and Face and Expression Recognition.
Frequent co-authors in their collaborations are Yu-Kai Wang, Yu-Cheng Chang, Thomas Do, Avinash Kumar Singh, and Zehong Cao.
Chin-Teng Lin has contributed extensively to multiple publication venues. Their frequent publication venues include:
Their recent papers reflect a range of topics associated with brain-computer interface technologies, machine learning applications in medical diagnosis, wearable technology for mental health, and fuzzy systems for visual tracking and driver drowsiness estimation. Notable recent publications include:
Regarding scholarly books, Chin-Teng Lin has authored titles published by Springer Nature including "Recent Advances in Artificial Intelligence and Data Engineering" (2021), "Educating Engineers for Future Industrial Revolutions" (2021), and "Intelligent Computing and Applications" (2020).
In recognition of contributions to biologically inspired information systems, Chin-Teng Lin was named an IEEE Fellow in 2005.
Chin-Teng Lin;C. S. George Lee
C.-T. Lin;C.S.G. Lee
Amit Saxena;Mukesh Prasad;Akshansh Gupta;Neha Bharill
C. T. Lin
Chia-Feng Juang;Chin-Teng Lin
Omprakash Kaiwartya;Abdul Hanan Abdullah;Yue Cao;Ayman Altameem
Chin-Teng Lin;Ruei-Cheng Wu;Sheng-Fu Liang;Wen-Hung Chao
Chin-Teng Lin;C.S.G. Lee
Hesham El-Sayed;Sharmi Sankar;Mukesh Prasad;Deepak Puthal
Chia-Feng Juang;Chin-Teng Lin
Xiaotong Gu;Zehong Cao;Alireza Jolfaei;Peng Xu
Chin-Teng Lin;Lun-De Liao;Yu-Hang Liu;I-Jan Wang
Chin-Teng Lin;Che-Jui Chang;Bor-Shyh Lin;Shao-Hang Hung
Klaus Gramann;Joseph T. Gwin;Daniel P. Ferris;Kelvin Oie
M. Tanveer;B. Richhariya;R. U. Khan;A. H. Rashid
Lun-De Liao;Chi-Yu Chen;I-Jan Wang;Sheng-Fu Chen
Cheng-Jian Lin;Chin-Teng Lin
Chin-Teng Lin
Zehong Cao;Chun-Hsiang Chuang;Jung-Kai King;Chin-Teng Lin
Chia-Feng Juang;Jiann-Yow Lin;Chin-Teng Lin
Chin-Teng Lin;Chun-Hsiang Chuang;Chih-Sheng Huang;Shu-Fang Tsai
Chin-Teng Lin;Chang-Mao Yeh;Sheng-Fu Liang;Jen-Feng Chung
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