World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
35
Citations
4845
World Ranking
8999
National Ranking
2516

Yingzi Lin publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Yingzi Lin sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 132 publications — 20th percentile

20% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Yingzi Lin D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Yingzi Lin sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 35 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

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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