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Computer Science
Australia
2026

D-Index & Metrics

Computer Science

D-Index
94
Citations
36893
World Ranking
483
National Ranking
8

Research.com Recognitions

  • 2026 - Research.com Computer Science in Australia Leader Award
  • 2025 - Research.com Computer Science in Australia Leader Award
  • 2023 - Research.com Computer Science in Australia Leader Award
  • 2022 - Research.com Computer Science in Australia Leader Award
  • 2005 - IEEE Fellow For contributions to biologically inspired information Systems.

Overview

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:

  • arXiv (Cornell University)
  • IEEE Transactions on Fuzzy Systems
  • IEEE Transactions on Neural Systems and Rehabilitation Engineering
  • IEEE Transactions on Emerging Topics in Computational Intelligence
  • IEEE Transactions on Cognitive and Developmental Systems

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:

  • EEG-based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and their Applications, 2021, Open Publications Of UTS Scholars (University of Technology Sydney)
  • Machine Learning Techniques for the Diagnosis of Alzheimer's Disease, 2020, ACM Transactions on Multimedia Computing Communications and Applications
  • Smart Devices and Wearable Technologies to Detect and Monitor Mental Health Conditions and Stress: A Systematic Review, 2021, Sensors
  • Fuzzy Detection Aided Real-Time and Robust Visual Tracking Under Complex Environments, 2020, IEEE Transactions on Fuzzy Systems
  • EEG-Based Driver Drowsiness Estimation Using an Online Multi-View and Transfer TSK Fuzzy System, 2020, IEEE Transactions on Intelligent Transportation Systems

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.

Best Publications

  • Neural fuzzy systems: a neuro-fuzzy synergism to intelligent systems

    Chin-Teng Lin;C. S. George Lee

  • Neural-network-based fuzzy logic control and decision system

    C.-T. Lin;C.S.G. Lee

  • A review of clustering techniques and developments

    Amit Saxena;Mukesh Prasad;Akshansh Gupta;Neha Bharill

  • Neural fuzzy systems

    C. T. Lin

  • An online self-constructing neural fuzzy inference network and its applications

    Chia-Feng Juang;Chin-Teng Lin

  • Internet of Vehicles: Motivation, Layered Architecture, Network Model, Challenges, and Future Aspects

    Omprakash Kaiwartya;Abdul Hanan Abdullah;Yue Cao;Ayman Altameem

  • EEG-based drowsiness estimation for safety driving using independent component analysis

    Chin-Teng Lin;Ruei-Cheng Wu;Sheng-Fu Liang;Wen-Hung Chao

  • Reinforcement structure/parameter learning for neural-network-based fuzzy logic control systems

    Chin-Teng Lin;C.S.G. Lee

  • Edge of Things: The Big Picture on the Integration of Edge, IoT and the Cloud in a Distributed Computing Environment

    Hesham El-Sayed;Sharmi Sankar;Mukesh Prasad;Deepak Puthal

  • A recurrent self-organizing neural fuzzy inference network

    Chia-Feng Juang;Chin-Teng Lin

  • EEG-Based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and Their Applications

    Xiaotong Gu;Zehong Cao;Alireza Jolfaei;Peng Xu

  • Novel Dry Polymer Foam Electrodes for Long-Term EEG Measurement

    Chin-Teng Lin;Lun-De Liao;Yu-Hang Liu;I-Jan Wang

  • A Real-Time Wireless Brain–Computer Interface System for Drowsiness Detection

    Chin-Teng Lin;Che-Jui Chang;Bor-Shyh Lin;Shao-Hang Hung

  • Cognition in action: imaging brain/body dynamics in mobile humans

    Klaus Gramann;Joseph T. Gwin;Daniel P. Ferris;Kelvin Oie

  • Machine Learning Techniques for the Diagnosis of Alzheimer’s Disease: A Review

    M. Tanveer;B. Richhariya;R. U. Khan;A. H. Rashid

  • Gaming control using a wearable and wireless EEG-based brain-computer interface device with novel dry foam-based sensors

    Lun-De Liao;Chi-Yu Chen;I-Jan Wang;Sheng-Fu Chen

  • An ART-based fuzzy adaptive learning control network

    Cheng-Jian Lin;Chin-Teng Lin

  • A neural fuzzy control system with structure and parameter learning

    Chin-Teng Lin

  • Multi-channel EEG recordings during a sustained-attention driving task.

    Zehong Cao;Chun-Hsiang Chuang;Jung-Kai King;Chin-Teng Lin

  • Genetic reinforcement learning through symbiotic evolution for fuzzy controller design

    Chia-Feng Juang;Jiann-Yow Lin;Chin-Teng Lin

  • Wireless and Wearable EEG System for Evaluating Driver Vigilance

    Chin-Teng Lin;Chun-Hsiang Chuang;Chih-Sheng Huang;Shu-Fang Tsai

  • Support-vector-based fuzzy neural network for pattern classification

    Chin-Teng Lin;Chang-Mao Yeh;Sheng-Fu Liang;Jen-Feng Chung

Frequent Co-Authors

Li-Wei Ko
Li-Wei Ko National Yang Ming Chiao Tung University
Tzyy-Ping Jung
Tzyy-Ping Jung University of California, San Diego
Dongrui Wu
Dongrui Wu Huazhong University of Science and Technology
Zehong Cao
Zehong Cao University of South Australia
Nikhil R. Pal
Nikhil R. Pal Indian Statistical Institute
Weiping Ding
Weiping Ding Nantong University
Klaus Gramann
Klaus Gramann Technical University of Berlin
Chia-Feng Juang
Chia-Feng Juang National Chung Hsing University
Shuu-Jiun Wang
Shuu-Jiun Wang National Yang Ming Chiao Tung University
Deepak Puthal
Deepak Puthal United Arab Emirates University

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