World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
4449
World Ranking
9001
National Ranking
277

Zehong Cao 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 Zehong Cao 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: 141 publications — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Zehong Cao 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 Zehong Cao 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: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Overview

Zehong Cao is affiliated with the University of South Australia in Australia. The primary fields of study for this researcher include Computer Science and Neuroscience, with a substantial focus on Cognitive Neuroscience and Artificial Intelligence as subfields. Their scientific contributions integrate topics such as EEG and Brain-Computer Interfaces, neural dynamics and brain function, and functional brain connectivity studies.

The researcher has published extensively across well-recognized venues. Frequent publication outlets include arXiv (Cornell University), IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Fuzzy Systems, Information Sciences, and IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Zehong Cao's collaborative network features frequent co-authors, including Chin-Teng Lin, Fali Li, Peng Xu, Feng Shi, and Dinggang Shen. These co-authors have contributed to a variety of projects, demonstrating an interdisciplinary approach that spans neural engineering, fuzzy logic, and decision-making systems.

Recent publications highlight a range of research topics. Notable papers include:

  • EEG-based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and their Applications, 2021, Open Publications Of UTS Scholars (University of Technology Sydney)
  • A Novel Conflict Measurement in Decision-Making and Its Application in Fault Diagnosis, 2020, IEEE Transactions on Fuzzy Systems
  • Attribute reduction with fuzzy rough self-information measures, 2020, Information Sciences
  • A Reinforcement Learning-Based Vehicle Platoon Control Strategy for Reducing Energy Consumption in Traffic Oscillations, 2021, IEEE Transactions on Neural Networks and Learning Systems
  • Seizure Prediction Using Directed Transfer Function and Convolution Neural Network on Intracranial EEG, 2020, IEEE Transactions on Neural Systems and Rehabilitation Engineering

The scientist's research topics cover diverse areas including multi-criteria decision making, rough sets and fuzzy logic, traffic control and management, and neural networks and applications. These topics reflect a blend of computational intelligence methods and their applications in neuroscience and engineering domains.

Best Publications

  • 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

  • Multi-channel EEG recordings during a sustained-attention driving task.

    Zehong Cao;Chun-Hsiang Chuang;Jung-Kai King;Chin-Teng Lin

  • Real-time detection of gene expression in cancer cells using molecular beacon imaging: new strategies for cancer research.

    Xiang-Hong Peng;Ze-Hong Cao;Jin-Tang Xia;Grant W. Carlson

  • Inherent Fuzzy Entropy for the Improvement of EEG Complexity Evaluation

    Zehong Cao;Chin-Teng Lin

  • A Novel Conflict Measurement in Decision-Making and Its Application in Fault Diagnosis

    Fuyuan Xiao;Zehong Cao;Alireza Jolfaei

  • Attribute reduction with fuzzy rough self-information measures

    Changzhong Wang;Yang Huang;Weiping Ding;Zehong Cao;Zehong Cao

  • Cloud-Assisted Multiview Video Summarization Using CNN and Bidirectional LSTM

    Tanveer Hussain;Khan Muhammad;Amin Ullah;Zehong Cao

  • A Complex Weighted Discounting Multisource Information Fusion With its Application in Pattern Classification

    Unknown

  • Development of Receptor Targeted Magnetic Iron Oxide Nanoparticles for Efficient Drug Delivery and Tumor Imaging.

    Lily Yang;Zehong Cao;Hari Krishna Sajja;Hui Mao

  • A Reinforcement Learning-Based Vehicle Platoon Control Strategy for Reducing Energy Consumption in Traffic Oscillations.

    Meng Li;Zehong Cao;Zhibin Li

  • Extraction of SSVEPs-Based Inherent Fuzzy Entropy Using a Wearable Headband EEG in Migraine Patients

    Zehong Cao;Chin-Teng Lin;Kuan-Lin Lai;Li-Wei Ko

  • Seizure Prediction Using Directed Transfer Function and Convolution Neural Network on Intracranial EEG

    Gang Wang;Dong Wang;Changwang Du;Kuo Li

  • Effects of repetitive SSVEPs on EEG complexity using multiscale inherent fuzzy entropy

    Zehong Cao;Weiping Ding;Yu-Kai Wang;Farookh Khadeer Hussain

  • Deep Neuro-Cognitive Co-Evolution for Fuzzy Attribute Reduction by Quantum Leaping PSO With Nearest-Neighbor Memeplexes

    Weiping Ding;Chin-Teng Lin;Zehong Cao

  • uPAR-targeted optical imaging contrasts as theranostic agents for tumor margin detection.

    Lily Yang;Hari Krishna Sajja;Zehong Cao;Wei Ping Qian

  • An interval-valued Pythagorean prioritized operator-based game theoretical framework with its applications in multicriteria group decision making

    Yuzhen Han;Yuzhen Han;Yong Deng;Yong Deng;Zehong Cao;Zehong Cao;Chin-Teng Lin

  • Reliability of EEG microstate analysis at different electrode densities during propofol-induced transitions of brain states

    Kexu Zhang;Wen Shi;Chang Wang;Yamin Li

  • A review of artificial intelligence for EEG‐based brain−computer interfaces and applications:

    Zehong Cao

  • Predicting individual decision-making responses based on single-trial EEG

    Yajing Si;Fali Li;Keyi Duan;Qin Tao

  • A Fuzzy Interval Time-Series Energy and Financial Forecasting Model Using Network-Based Multiple Time-Frequency Spaces and the Induced-Ordered Weighted Averaging Aggregation Operation

    Gang Liu;Fuyuan Xiao;Chin-Teng Lin;Zehong Cao

  • Enhancing Transferability of Deep Reinforcement Learning-Based Variable Speed Limit Control Using Transfer Learning

    Zemian Ke;Zhibin Li;Zehong Cao;Pan Liu

  • Multigranulation Supertrust Model for Attribute Reduction

    Weiping Ding;Witold Pedrycz;Isaac Triguero;Zehong Cao

  • A fuzzy preference-based Dempster-Shafer evidence theory for decision fusion

    Chaosheng Zhu;Bowen Qin;Fuyuan Xiao;Zehong Cao

  • A Layered-Coevolution-Based Attribute-Boosted Reduction Using Adaptive Quantum-Behavior PSO and Its Consistent Segmentation for Neonates Brain Tissue

    Weiping Ding;Chin-Teng Lin;Mukesh Prasad;Zehong Cao

Frequent Co-Authors

Chin-Teng Lin
Chin-Teng Lin University of Technology Sydney
Weiping Ding
Weiping Ding Nantong University
William C. Wood
William C. Wood Emory University
Shuming Nie
Shuming Nie University of Illinois at Urbana-Champaign
Dezhong Yao
Dezhong Yao University of Electronic Science and Technology of China
Alireza Jolfaei
Alireza Jolfaei Flinders University
Shuu-Jiun Wang
Shuu-Jiun Wang National Yang Ming Chiao Tung University
Nikhil R. Pal
Nikhil R. Pal Indian Statistical Institute
Peng Xu
Peng Xu Chinese Academy of Sciences
Xiaohu Gao
Xiaohu Gao University of Washington

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