World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
56
Citations
14341
World Ranking
4028
National Ranking
1921

Jie Yang publication distribution in Computer Science in 2026

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 Jie Yang sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 160 publications — 31st percentile

31% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Jie Yang D-index placement in Computer Science in 2026

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 Jie Yang sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 56 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Jie Yang is affiliated with Carnegie Mellon University in the United States and conducts research primarily in engineering and neuroscience. Their work spans several subfields, including electrical and electronic engineering, cognitive neuroscience, cellular and molecular neuroscience, biomedical engineering, and computer vision and pattern recognition.

Their research addresses various topics, notably EEG and brain-computer interfaces, neuroscience and neural engineering, advanced memory and neural computing, analog and mixed-signal circuit design, epilepsy research and treatment, blind source separation techniques, and CCD and CMOS imaging sensors.

Selected recent papers by Jie Yang and collaborators include:

  • From Seizure Detection to Smart and Fully Embedded Seizure Prediction Engine: A Review (2020), published in IEEE Transactions on Biomedical Circuits and Systems
  • Energy-Efficient Neural Network for Epileptic Seizure Prediction (2021), published in IEEE Transactions on Biomedical Engineering
  • Transfer Learning on Electromyography (EMG) Tasks: Approaches and Beyond (2023), published in IEEE Transactions on Neural Systems and Rehabilitation Engineering
  • Multichannel Synthetic Preictal EEG Signals to Enhance the Prediction of Epileptic Seizures (2022), published in IEEE Transactions on Biomedical Engineering
  • Recent Trends and Future Prospects of Neural Recording Circuits and Systems: A Tutorial Brief (2022), published in IEEE Transactions on Circuits & Systems II Express Briefs

Jie Yang frequently collaborates with other researchers, including Mohamad Sawan, Shiqi Zhao, Chaoming Fang, Fengshi Tian, and Jinbo Chen.

Their work has been published in various venues, highlighting a pattern of contribution to topics related to biomedical circuits and systems as well as general neuroscience and engineering:

  • arXiv (Cornell University)
  • IEEE Transactions on Biomedical Circuits and Systems
  • IEEE Transactions on Circuits & Systems II Express Briefs
  • 2022 IEEE International Symposium on Circuits and Systems (ISCAS)
  • IEEE Transactions on Biomedical Engineering

Best Publications

  • A direct LDA algorithm for high-dimensional data — with application to face recognition

    Hua Yu;Jie Yang

  • A real-time face tracker

    Jie Yang;A. Waibel

  • Skin-Color Modeling and Adaptation

    Jie Yang;Weier Lu;Alex Waibel

  • Predicting human interruptibility with sensors

    James Fogarty;Scott E. Hudson;Christopher G. Atkeson;Daniel Avrahami

  • Automatic detection and recognition of signs from natural scenes

    Xilin Chen;Jie Yang;Jing Zhang;A. Waibel

  • Sensor fusion using Dempster-Shafer theory [for context-aware HCI]

    Huadong Wu;M. Siegel;R. Stiefelhagen;Jie Yang

  • Predicting human interruptibility with sensors: a Wizard of Oz feasibility study

    Scott Hudson;James Fogarty;Christopher Atkeson;Daniel Avrahami

  • Gestures over video streams to support remote collaboration on physical tasks

    Susan R. Fussell;Leslie D. Setlock;Jie Yang;Jiazhi Ou

  • Smart Sight: a tourist assistant system

    Jie Yang;Weiyi Yang;M. Denecke;A. Waibel

  • Human action learning via hidden Markov model

    Jie Yang;Yangsheng Xu;C.S. Chen

  • PFID: Pittsburgh fast-food image dataset

    Mei Chen;Kapil Dhingra;Wen Wu;Lei Yang

  • Sensor Fusion Using Dempster-Shafer Theory

    Huadong Wu;Mel Siegel;Rainer Stiefelhagen;Jie Yang

  • Hidden Markov model approach to skill learning and its application in telerobotics

    Jie Yang;Yangsheng Xu;C.S. Chen

  • Subpixel eye gaze tracking

    Jie Zhu;Jie Yang

  • Segmenting hands of arbitrary color

    Xiaojin Zhu;Jie Yang;A. Waibel

  • Automatically labeling video data using multi-class active learning

    Yan;Jie Yang;Hauptmann

  • Modeling focus of attention for meeting indexing based on multiple cues

    R. Stiefelhagen;Jie Yang;A. Waibel

  • Detection of text on road signs from video

    Wen Wu;Xilin Chen;Jie Yang

  • Sparsity induced similarity measure for label propagation

    Hong Cheng;Zicheng Liu;Jie Yang

  • A Model-Based Gaze Tracking System

    Rainer Stiefelhagen;Rainer Stiefelhagen;Jie Yang;Jie Yang;Alex Waibel;Alex Waibel

Frequent Co-Authors

Alex Waibel
Alex Waibel Carnegie Mellon University
Xilin Chen
Xilin Chen University of Chinese Academy of Sciences
Rainer Stiefelhagen
Rainer Stiefelhagen Karlsruhe Institute of Technology
Yangsheng Xu
Yangsheng Xu Chinese University of Hong Kong, Shenzhen
Susan R. Fussell
Susan R. Fussell Cornell University
Kenneth R. Koedinger
Kenneth R. Koedinger Carnegie Mellon University
Nanning Zheng
Nanning Zheng Xi'an Jiaotong University
Rong Yan
Rong Yan Snapchat
Hong Cheng
Hong Cheng University of Electronic Science and Technology of China
Zicheng Liu
Zicheng Liu Microsoft (United States)

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