World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
67
Citations
14971
World Ranking
2228
National Ranking
306

Dongrui Wu 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 Dongrui Wu 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: 255 publications — 64th percentile

64% of scientists in this discipline score the same or lower.

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

Dongrui Wu 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 Dongrui Wu 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: 67 D-Index — 85th percentile

85% of scientists in this discipline score the same or lower.

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

Overview

Dongrui Wu is affiliated with Huazhong University of Science and Technology in China. Their research predominantly focuses on computer science, with significant work in the subfields of artificial intelligence, cognitive neuroscience, electrical and electronic engineering, computer vision and pattern recognition, and cellular and molecular neuroscience.

The main topics covered by Dongrui Wu's work include:

  • EEG and Brain-Computer Interfaces
  • Advanced Memory and Neural Computing
  • Neuroscience and Neural Engineering
  • Neural Networks and Applications
  • Neural dynamics and brain function
  • Machine Learning and Data Classification
  • Fuzzy Logic and Control Systems

Some of their recent papers are:

  • "EEG-based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and their Applications" (2021), published in Open Publications Of UTS Scholars (University of Technology Sydney)
  • "Transfer Learning for EEG-Based Brain-Computer Interfaces: A Review of Progress Made Since 2016" (2020), published in IEEE Transactions on Cognitive and Developmental Systems
  • "A Survey on Negative Transfer" (2022), published in IEEE/CAA Journal of Automatica Sinica
  • "Wasserstein distance based deep adversarial transfer learning for intelligent fault diagnosis with unlabeled or insufficient labeled data" (2020), published in Neurocomputing
  • "Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces" (2020), published in IEEE Transactions on Neural Systems and Rehabilitation Engineering

Dongrui Wu frequently publishes in the following venues:

  • arXiv (Cornell University)
  • IEEE Transactions on Systems Man and Cybernetics Systems
  • IEEE Transactions on Neural Systems and Rehabilitation Engineering
  • IEEE Computational Intelligence Magazine
  • IEEE Transactions on Human-Machine Systems

Frequent coauthors collaborating with Dongrui Wu include:

  • Giancarlo Fortino
  • Sam Kwong
  • Karen Panetta
  • Gina Tang
  • Tiago H. Falk

Best Publications

  • Enhanced Karnik--Mendel Algorithms

    Dongrui Wu;J.M. Mendel

  • Perceptual Computing: Aiding People in Making Subjective Judgments

    Jerry Mendel;Dongrui Wu

  • Uncertainty measures for interval type-2 fuzzy sets

    Dongrui Wu;Jerry M. Mendel

  • A comparative study of ranking methods, similarity measures and uncertainty measures for interval type-2 fuzzy sets

    Dongrui Wu;Jerry M. Mendel

  • Transfer Learning for Brain–Computer Interfaces: A Euclidean Space Data Alignment Approach

    He He;Dongrui Wu

  • 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

  • A Survey on Negative Transfer

    Unknown

  • On the Fundamental Differences Between Interval Type-2 and Type-1 Fuzzy Logic Controllers

    Dongrui Wu

  • Aggregation Using the Linguistic Weighted Average and Interval Type-2 Fuzzy Sets

    Dongrui Wu;J.M. Mendel

  • Transfer Learning for EEG-Based Brain-Computer Interfaces: A Review of Progress Made Since 2016

    Dongrui Wu;Yifan Xu;Bao-Liang Lu

  • Genetic learning and performance evaluation of interval type-2 fuzzy logic controllers

    Dongrui Wu;Woei Wan Tan

  • Approaches for Reducing the Computational Cost of Interval Type-2 Fuzzy Logic Systems: Overview and Comparisons

    Dongrui Wu

  • Comparison and practical implementation of type-reduction algorithms for type-2 fuzzy sets and systems

    Dongrui Wu;Maowen Nie

  • Wasserstein distance based deep adversarial transfer learning for intelligent fault diagnosis with unlabeled or insufficient labeled data

    Cheng Cheng;Beitong Zhou;Guijun Ma;Dongrui Wu

  • A vector similarity measure for linguistic approximation: Interval type-2 and type-1 fuzzy sets

    Dongrui Wu;Jerry M. Mendel

  • Seizure Classification From EEG Signals Using Transfer Learning, Semi-Supervised Learning and TSK Fuzzy System

    Yizhang Jiang;Dongrui Wu;Zhaohong Deng;Pengjiang Qian

  • A type-2 fuzzy logic controller for the liquid-level process

    D. Wu;W.W. Tan

  • Enhanced Interval Approach for Encoding Words Into Interval Type-2 Fuzzy Sets and Its Convergence Analysis

    Dongrui Wu;J. M. Mendel;S. Coupland

  • Interval Type-2 Fuzzy Logic Modeling and Control of a Mobile Two-Wheeled Inverted Pendulum

    Jian Huang;MyongHyok Ri;Dongrui Wu;Songhyok Ri

  • Optimal Arousal Identification and Classification for Affective Computing Using Physiological Signals: Virtual Reality Stroop Task

    Dongrui Wu;C G Courtney;B J Lance;S S Narayanan

  • Computing With Words for Hierarchical Decision Making Applied to Evaluating a Weapon System

    Dongrui Wu;Jerry M Mendel

  • Wasserstein Distance based Deep Adversarial Transfer Learning for Intelligent Fault Diagnosis.

    Cheng Cheng;Beitong Zhou;Guijun Ma;Dongrui Wu

Frequent Co-Authors

Jerry M. Mendel
Jerry M. Mendel University of Southern California
Chin-Teng Lin
Chin-Teng Lin University of Technology Sydney
Jian Huang
Jian Huang University of Iowa
Tzyy-Ping Jung
Tzyy-Ping Jung University of California, San Diego
Thomas D. Parsons
Thomas D. Parsons University of North Texas
Saeid Nahavandi
Saeid Nahavandi Swinburne University of Technology
Abbas Khosravi
Abbas Khosravi Deakin University
Shitong Wang
Shitong Wang Jiangnan University
Zhigang Zeng
Zhigang Zeng Huazhong University of Science and Technology
Hai-Tao Zhang
Hai-Tao Zhang Huazhong University of Science and Technology

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