World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
5810
World Ranking
9393
National Ranking
1190

Zheru Chi 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 Zheru Chi 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: 225 publications — 55th percentile

55% of scientists in this discipline score the same or lower.

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

Zheru Chi 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 Zheru Chi 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: 40 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Overview

Zheru Chi is affiliated with Hong Kong Polytechnic University in China. Their research spans multiple areas within computer science and neuroscience, focusing notably on computer vision, pattern recognition, and cognitive neuroscience.

Chi's main fields of study include:

  • Computer Science
  • Neuroscience

Their work further explores several subfields, such as:

  • Computer Vision and Pattern Recognition
  • Cognitive Neuroscience
  • Experimental and Cognitive Psychology
  • Artificial Intelligence
  • Radiology, Nuclear Medicine and Imaging

The principal topics addressed in Chi's publications cover:

  • Human Pose and Action Recognition
  • Anomaly Detection Techniques and Applications
  • Sleep and Wakefulness Research
  • EEG and Brain-Computer Interfaces
  • Obstructive Sleep Apnea Research
  • Sleep and Related Disorders
  • Sleep and Work-Related Fatigue

Frequent co-authors collaborating with Chi include:

  • Wei Qu
  • Zhiyong Wang
  • Hong Hong
  • Ronald R. Grunstein
  • Christopher J. Gordon

Key recent publications by Zheru Chi are:

  • "A Residual Based Attention Model for EEG Based Sleep Staging" (2020), published in IEEE Journal of Biomedical and Health Informatics
  • "Single-channel EEG based insomnia detection with domain adaptation" (2021), published in Computers in Biology and Medicine
  • "Iterative brain tumor retrieval for MR images based on user's intention model" (2022), published in Pattern Recognition
  • "Multi-Person Pose Tracking With Sparse Key-Point Flow Estimation and Hierarchical Graph Distance Minimization" (2024), published in IEEE Transactions on Image Processing
  • "Action Progression Networks for Temporal Action Detection in Videos" (2024), published in IEEE Access

Chi's research has appeared in a variety of publication venues, including:

  • IEEE Journal of Biomedical and Health Informatics
  • Computers in Biology and Medicine
  • Pattern Recognition
  • IEEE Transactions on Image Processing
  • IEEE Access

Best Publications

  • Fuzzy Algorithms: With Applications to Image Processing and Pattern Recognition

    Zheru Chi;Hong Yan;Tuan Pham

  • Shape based leaf image retrieval

    Z. Wang;Zheru Chi;D. Feng

  • Facial Expression Recognition in Video with Multiple Feature Fusion

    Junkai Chen;Zenghai Chen;Zheru Chi;Hong Fu

  • Handwritten numeral recognition using self-organizing maps and fuzzy rules

    Zheru Chi;Jing Wu;Hong Yan

  • A Residual Based Attention Model for EEG Based Sleep Staging

    Wei Qu;Zhiyong Wang;Hong Hong;Zheru Chi

  • A neural root finder of polynomials based on root moments

    De-Shuang Huang;Horace H. S. Ip;Zheru Chi

  • Combined thresholding and neural network approach for vein pattern extraction from leaf images

    H. Fu;Zheru Chi

  • Leaf Image Retrieval with Shape Features

    Zhiyong Wang;Zheru Chi;Dagan Feng;Qing Wang

  • Emotion Recognition in the Wild with Feature Fusion and Multiple Kernel Learning

    JunKai Chen;Zenghai Chen;Zheru Chi;Hong Fu

  • Zeroing polynomials using modified constrained neural network approach

    De-Shuang Huang;H.H.S. Ip;K.C.K. Law;Zheru Chi

  • A robust eye detection method using combined binary edge and intensity information

    Jiatao Song;Zheru Chi;Jilin Liu

  • A background-thinning-based approach for separating and recognizing connected handwritten digit strings

    Zhongkang Lu;Zheru Chi;Wan-Chi Siu;Pengfei Shi

  • Document Image Recognition based on template matching of component block projections

    Hanchuan Peng;Fuhui Long;Zheru Chi

  • Realistic Human Action Recognition With Multimodal Feature Selection and Fusion

    Qiuxia Wu;Zhiyong Wang;Feiqi Deng;Zheru Chi

  • Attention-driven image interpretation with application to image retrieval

    Hong Fu;Zheru Chi;Dagan Feng

  • Two-stage segmentation of unconstrained handwritten Chinese characters

    Shuyan Zhao;Shuyan Zhao;Zheru Chi;Pengfei Shi;Hong Yan

  • Leaf Vein Extraction Using Independent Component Analysis

    Yan Li;Zheru Chi;David D. Feng

  • ID3-derived fuzzy rules and optimized defuzzification for handwritten numeral recognition

    Zheru Chi;Hong Yan

  • MR Brain Image Segmentation Based on Self-Organizing Map Network

    Yan Li;Zheru Chi

  • Fuzzy integral for leaf image retrieval

    Zhiyong Wang;Zheru Chi;Dagan Feng

  • Strabismus Recognition Using Eye-Tracking Data and Convolutional Neural Networks

    Zenghai Chen;Hong Fu;Wai Lun Lo;Zheru Chi

Frequent Co-Authors

Dagan Feng
Dagan Feng University of Sydney
Wan-Chi Siu
Wan-Chi Siu Hong Kong Polytechnic University
Hong Yan
Hong Yan City University of Hong Kong
De-Shuang Huang
De-Shuang Huang Tongji University
Bingang Xu
Bingang Xu Hong Kong Polytechnic University
Hanchuan Peng
Hanchuan Peng Southeast University
Horace H. S. Ip
Horace H. S. Ip City University of Hong Kong
Xiaoming Tao
Xiaoming Tao Hong Kong Polytechnic University
Ah Chung Tsoi
Ah Chung Tsoi University of Wollongong
Philip H. W. Leong
Philip H. W. Leong University of Sydney

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