World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
73
Citations
18724
World Ranking
1611
National Ranking
216

Bin Hu 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 Bin Hu 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: 572 publications — 95th percentile

95% of scientists in this discipline score the same or lower.

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

Bin Hu 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 Bin Hu 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: 73 D-Index — 89th percentile

89% of scientists in this discipline score the same or lower.

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

Overview

Bin Hu is affiliated with Lanzhou University in China and specializes in research at the intersection of computer science and neuroscience. Their work encompasses a wide range of topics primarily centered on brain connectivity, brain-computer interfaces, and emotion recognition through neural data analysis.

The main fields of study for Bin Hu include:

  • Computer Science
  • Neuroscience

Their subfields of study highlight focused research areas such as:

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

Key research topics covered in Bin Hu's publications are:

  • Functional Brain Connectivity Studies
  • EEG and Brain-Computer Interfaces
  • Emotion and Mood Recognition
  • Neural dynamics and brain function
  • Mental Health Research Topics
  • Advanced Neuroimaging Techniques and Applications
  • Heart Rate Variability and Autonomic Control

Bin Hu has published extensively with frequent appearances in several key scientific venues, including:

  • arXiv (Cornell University)
  • IEEE Transactions on Computational Social Systems
  • IEEE Journal of Biomedical and Health Informatics
  • IEEE Transactions on Affective Computing
  • IEEE Transactions on Neural Systems and Rehabilitation Engineering

The scientist collaborates regularly with several co-authors, including:

  • Xiping Hu
  • Zhijun Yao
  • Kun Qian
  • Xiaowei Li
  • Björn W. Schuller

Notable recent publications by Bin Hu cover a variety of topics related to EEG-based emotion recognition and intelligent computing systems. Examples include:

  • "EEG emotion recognition using fusion model of graph convolutional neural networks and LSTM," 2020, Applied Soft Computing
  • "EEG Based Emotion Recognition: A Tutorial and Review," 2022, ACM Computing Surveys
  • "Mobile Edge Computing Enabled 5G Health Monitoring for Internet of Medical Things: A Decentralized Game Theoretic Approach," 2020, IEEE Journal on Selected Areas in Communications
  • "Intelligent Edge Computing in Internet of Vehicles: A Joint Computation Offloading and Caching Solution," 2020, IEEE Transactions on Intelligent Transportation Systems
  • "Feature-level fusion approaches based on multimodal EEG data for depression recognition," 2020, Information Fusion

Best Publications

  • Optimal parameters selection for BP neural network based on particle swarm optimization: A case study of wind speed forecasting

    Chao Ren;Ning An;Jianzhou Wang;Lian Li

  • Energy-Latency Tradeoff for Energy-Aware Offloading in Mobile Edge Computing Networks

    Jiao Zhang;Xiping Hu;Zhaolong Ning;Edith C.-H. Ngai

  • Smart Clothing: Connecting Human with Clouds and Big Data for Sustainable Health Monitoring

    Min Chen;Yujun Ma;Jeungeun Song;Chin-Feng Lai

  • EEG emotion recognition using fusion model of graph convolutional neural networks and LSTM

    Yongqiang Yin;Xiangwei Zheng;Bin Hu;Yuang Zhang

  • Differences in Critical Success Factors in ERP Systems Implementation in Australia and China: A Cultural Analysis

    Graeme G. Shanks;Anne N. Parr;Bin Hu;Brian J. Corbitt

  • Mobile Edge Computing Enabled 5G Health Monitoring for Internet of Medical Things: A Decentralized Game Theoretic Approach

    Zhaolong Ning;Peiran Dong;Xiaojie Wang;Xiping Hu

  • Intelligent Edge Computing in Internet of Vehicles: A Joint Computation Offloading and Caching Solution

    Zhaolong Ning;Kaiyuan Zhang;Xiaojie Wang;Lei Guo

  • Exploring EEG Features in Cross-Subject Emotion Recognition

    Xiang Li;Dawei Song;Peng Zhang;Yazhou Zhang

  • Feature-level fusion approaches based on multimodal EEG data for depression recognition

    Hanshu Cai;Zhidiao Qu;Zhe Li;Yi Zhang

  • A Cooperative Quality-Aware Service Access System for Social Internet of Vehicles

    Zhaolong Ning;Xiping Hu;Zhikui Chen;MengChu Zhou

  • A Joint Intrinsic-Extrinsic Prior Model for Retinex

    Bolun Cai;Xianming Xu;Kailing Guo;Kui Jia

  • Modifying the DPClus algorithm for identifying protein complexes based on new topological structures.

    Min Li;Jian-er Chen;Jian-er Chen;Jian-xin Wang;Bin Hu

  • Emotion recognition from multi-channel EEG data through Convolutional Recurrent Neural Network

    Xiang Li;Dawei Song;Peng Zhang;Guangliang Yu

  • A Pervasive Approach to EEG-Based Depression Detection

    Hanshu Cai;Jiashuo Han;Yunfei Chen;Xiaocong Sha

  • Joint Computing and Caching in 5G-Envisioned Internet of Vehicles: A Deep Reinforcement Learning-Based Traffic Control System

    Zhaolong Ning;Kaiyuan Zhang;Xiaojie Wang;Mohammad S. Obaidat

  • Job scheduling algorithm based on Berger model in cloud environment

    Baomin Xu;Chunyan Zhao;Enzhao Hu;Bin Hu

  • Augmented Skeleton Based Contrastive Action Learning with Momentum LSTM for Unsupervised Action Recognition

    Haocong Rao;Haocong Rao;Shihao Xu;Shihao Xu;Xiping Hu;Xiping Hu;Jun Cheng

  • Wearable Circular Ring Slot Antenna With EBG Structure for Wireless Body Area Network

    Guo-Ping Gao;Bin Hu;Shao-Fei Wang;Chen Yang

  • RNN Models for Dynamic Matrix Inversion: A Control-Theoretical Perspective

    Long Jin;Shuai Li;Bin Hu

  • Design of Highly Nonlinear Substitution Boxes Based on I-Ching Operators

    Tong Zhang;C. L. Philip Chen;Long Chen;Xiangmin Xu

  • Partial Computation Offloading and Adaptive Task Scheduling for 5G-enabled Vehicular Networks

    Zhaolong Ning;Peiran Dong;Xiaojie Wang;Xiping Hu

  • A Wearable PIFA With an All-Textile Metasurface for 5 GHz WBAN Applications

    Guo-Ping Gao;Chen Yang;Bin Hu;Rui-Feng Zhang

  • A Noise-Suppressing Neural Algorithm for Solving the Time-Varying System of Linear Equations: A Control-Based Approach

    Long Jin;Shuai Li;Bin Hu;Mei Liu

  • Emotion Recognition From Multimodal Physiological Signals Using a Regularized Deep Fusion of Kernel Machine

    Xiaowei Zhang;Jinyong Liu;Jian Shen;Shaojie Li

  • EEG-based mild depressive detection using feature selection methods and classifiers

    Xiaowei Li;Bin Hu;Shuting Sun;Hanshu Cai

Frequent Co-Authors

Xiping Hu
Xiping Hu Lanzhou University
Zhaolong Ning
Zhaolong Ning Chongqing University of Posts and Telecommunications
Ning Zhong
Ning Zhong Maebashi Institute of Technology
Dawei Song
Dawei Song The Open University
Long Jin
Long Jin Lanzhou University
Lei Guo
Lei Guo Beijing University of Posts and Telecommunications
Tingshao Zhu
Tingshao Zhu University of Chinese Academy of Sciences
Shuai Li
Shuai Li University of Oulu
Fei-Yue Wang
Fei-Yue Wang Chinese Academy of Sciences
MengChu Zhou
MengChu Zhou New Jersey Institute of Technology

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