World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
35
Citations
4845
World Ranking
8997
National Ranking
2515

Overview

Yingzi Lin is affiliated with Northeastern University in the United States. Their research primarily spans the field of Medicine, with significant contributions to several subfields including Cognitive Neuroscience, Computer Vision and Pattern Recognition, Cardiology and Cardiovascular Medicine, Physiology, and Anesthesiology and Pain Medicine.

The scientist's work covers a range of topics that can be grouped as follows:

  • EEG and Brain-Computer Interfaces
  • Heart Rate Variability and Autonomic Control
  • Pain Mechanisms and Treatments
  • Video Surveillance and Tracking Methods
  • Musculoskeletal pain and rehabilitation
  • Impact of Light on Environment and Health
  • Air Quality Monitoring and Forecasting

Yingzi Lin has published in various venues, with notable frequent publication venues including:

  • Proceedings of the Human Factors and Ergonomics Society Annual Meeting
  • Sensors
  • Applied Intelligence
  • SSRN Electronic Journal
  • IEEE/ASME Transactions on Mechatronics

Among recent papers attributed to or associated with the scientist, notable titles include:

  • "Design and Rapid Construction of a Cost-Effective Virtual Haptic Device" (2020), published in IEEE/ASME Transactions on Mechatronics
  • "Personalized Deep Bi-LSTM RNN Based Model for Pain Intensity Classification Using EDA Signal" (2022), published in Sensors
  • "Experimental Exploration of Objective Human Pain Assessment Using Multimodal Sensing Signals" (2022), published in Frontiers in Neuroscience
  • "An experimental study of objective pain measurement using pupillary response based on genetic algorithm and artificial neural network" (2021), published in Applied Intelligence
  • "Using EEG to detect driving fatigue based on common spatial pattern and support vector machine" (2020), published in TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES

Yingzi Lin frequently collaborates with several researchers, including:

  • Yan Xiao
  • Yikang Guo
  • Wenchao Zhu
  • Richard D. Urman
  • Shichao Liu

Best Publications

  • A driver fatigue recognition model based on information fusion and dynamic Bayesian network

    Guosheng Yang;Yingzi Lin;Prabir Bhattacharya

  • Neural-Network-Based Adaptive Leader-Following Control for Multiagent Systems With Uncertainties

    Long Cheng;Zeng-Guang Hou;Min Tan;Yingzi Lin

  • Smart manufacturing based on cyber-physical systems and beyond

    Xifan Yao;Jiajun Zhou;Yingzi Lin;Yun Li;Yun Li

  • On the principle of design of resilient systems-application to enterprise information systems

    W. J. Zhang;Y. Lin

  • Recurrent Neural Network for Non-Smooth Convex Optimization Problems With Application to the Identification of Genetic Regulatory Networks

    Long Cheng;Zeng-Guang Hou;Yingzi Lin;Min Tan

  • Toward a Resilient Holistic Supply Chain Network System: Concept, Review and Future Direction

    Junwei Wang;Raja R. Muddada;Hongfeng Wang;Jinliang Ding

  • Emerging manufacturing paradigm shifts for the incoming industrial revolution

    Xifan Yao;Yingzi Lin

  • Modeling of operators' emotion and task performance in a virtual driving environment

    Hua Cai;Yingzi Lin

  • Artificial neural network modelling of driver handling behaviour in a driver-vehicle-environment system

    Y. Lin;P Tang;WJ Zhang;Qin Yu

  • Driver drowsiness recognition based on computer vision technology

    Wei Zhang;Bo Cheng;Yingzi Lin

  • On Definition of Deep Learning

    W.J. Zhang;Guosheng Yang;Yingzi Lin;Chunli Ji

  • An Intelligent Noninvasive Sensor for Driver Pulse Wave Measurement

    Y. Lin;H. Leng;G. Yang;H. Cai

  • An adaptive multi-population differential artificial bee colony algorithm for many-objective service composition in cloud manufacturing

    Jiajun Zhou;Xifan Yao;Yingzi Lin;Felix T.S. Chan

  • Solving a modified consensus problem of linear multi-agent systems

    Long Cheng;Zeng-Guang Hou;Yingzi Lin;Min Tan

  • Using eye movement parameters for evaluating human-machine interface frameworks under normal control operation and fault detection situations

    Y. Lin;W. J. Zhang;L. G. Watson

  • Towards a novel interface design framework: function-behavior-state paradigm

    Y. Lin;W. J. Zhang

  • Cognition Digital Twins for Personalized Information Systems of Smart Cities: Proof of Concept

    Jing Du;Qi Zhu;Yangming Shi;Qi Wang

  • On a Simple and Efficient Approach to Probability Distribution Function Aggregation

    Mengya Cai;Yingzi Lin;Bin Han;Changjun Liu

  • Investigating effects of screen layout elements on interface and screen design aesthetics

    Ahamed Altaboli;Yingzi Lin

  • Adaptive Tracking Control of Hybrid Machines: A Closed-Chain Five-Bar Mechanism Case

    Long Cheng;Yingzi Lin;Zeng-Guang Hou;Min Tan

  • Modeling and control of piezoelectric inertia–friction actuators: review and future research directions

    Y. F. Liu;J. Li;X. H. Hu;Z. M. Zhang

  • Integrated design and operation management for enterprise systems

    W. J. Zhang;Junwei Wang;Yingzi Lin

  • ON THE FUNCTION-BEHAVIOR-STRUCTURE MODEL FOR DESIGN

    W. J. Zhang;Y. Lin;Niraj Sinha

Frequent Co-Authors

Wenjun Zhang
Wenjun Zhang City University of Hong Kong
Long Cheng
Long Cheng Chinese Academy of Sciences
Felix T.S. Chan
Felix T.S. Chan Macau University of Science and Technology
Liang Gao
Liang Gao Huazhong University of Science and Technology
Min Tan
Min Tan Chinese Academy of Sciences
Zeng-Guang Hou
Zeng-Guang Hou Chinese Academy of Sciences
Yun Li
Yun Li University of Electronic Science and Technology of China
Xinyu Li
Xinyu Li Huazhong University of Science and Technology
Daniel J. Cox
Daniel J. Cox University of Virginia
Zhuming Bi
Zhuming Bi Indiana University – Purdue University Fort Wayne

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