World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
3968
World Ranking
12776
National Ranking
1575

Bin Deng 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 Deng 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: 199 publications — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Bin Deng 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 Deng 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: 33 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Overview

Bin Deng is affiliated with Tianjin University in China and has made contributions primarily within the fields of Neuroscience and Engineering. Their work spans subfields such as Cognitive Neuroscience, Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Artificial Intelligence, and Aerospace Engineering.

The scientist's research focuses on topics including Neural dynamics and brain function, Advanced Memory and Neural Computing, Neuroscience and Neural Engineering, EEG and Brain-Computer Interfaces, Neural Networks and Reservoir Computing, Ferroelectric and Negative Capacitance Devices, and Functional Brain Connectivity Studies.

Bin Deng has an extensive list of recent papers published in notable academic venues. These include:

  • "BiCoSS: Toward Large-Scale Cognition Brain With Multigranular Neuromorphic Architecture" (2021), IEEE Transactions on Neural Networks and Learning Systems
  • "Neuromorphic Context-Dependent Learning Framework With Fault-Tolerant Spike Routing" (2021), IEEE Transactions on Neural Networks and Learning Systems
  • "Efficient Spike-Driven Learning With Dendritic Event-Based Processing" (2021), Frontiers in Neuroscience
  • "CerebelluMorphic: Large-Scale Neuromorphic Model and Architecture for Supervised Motor Learning" (2021), IEEE Transactions on Neural Networks and Learning Systems
  • "SAM: A Unified Self-Adaptive Multicompartmental Spiking Neuron Model for Learning With Working Memory" (2022), Frontiers in Neuroscience

The frequent co-authors with whom Bin Deng collaborates include Jiang Wang, Shuangming Yang, Guosheng Yi, Xile Wei, and Jixuan Wang.

Publications by Bin Deng have appeared in key academic journals and conference series such as:

  • IEEE Transactions on Biomedical Circuits and Systems
  • IEEE Transactions on Neural Networks and Learning Systems
  • Frontiers in Neuroscience
  • IEEE Transactions on Neural Systems and Rehabilitation Engineering
  • Neural Networks

Best Publications

  • Scalable Digital Neuromorphic Architecture for Large-Scale Biophysically Meaningful Neural Network With Multi-Compartment Neurons

    Shuangming Yang;Bin Deng;Jiang Wang;Huiyan Li

  • Power spectral density and coherence analysis of Alzheimer’s EEG

    Ruofan Wang;Jiang Wang;Haitao Yu;Xile Wei

  • An IoT-Enabled Stroke Rehabilitation System Based on Smart Wearable Armband and Machine Learning

    Geng Yang;Jia Deng;Gaoyang Pang;Hao Zhang

  • BiCoSS: Toward Large-Scale Cognition Brain With Multigranular Neuromorphic Architecture.

    Shuangming Yang;Jiang Wang;Xinyu Hao;Huiyan Li

  • Neuromorphic context-dependent learning framework with fault-tolerant spike routing

    Shuangming Yang;Jiang Wang;Bin Deng;Mostafa Rahimi Azghadi

  • Vibrational resonance in neuron populations

    Bin Deng;Jiang Wang;Xile Wei;Kai-ming Tsang

  • Efficient Spike-Driven Learning With Dendritic Event-Based Processing.

    Shuangming Yang;Tian Gao;Jiang Wang;Bin Deng

  • CerebelluMorphic: large-scale neuromorphic model and architecture for supervised motor learning

    Shuangming Yang;Jiang Wang;Nan Zhang;Bin Deng

  • Real-Time Neuromorphic System for Large-Scale Conductance-Based Spiking Neural Networks

    Shuangming Yang;Jiang Wang;Bin Deng;Chen Liu

  • Decreased coherence and functional connectivity of electroencephalograph in Alzheimer's disease.

    Ruofan Wang;Jiang Wang;Haitao Yu;Xile Wei

  • H∞ Variable universe adaptive fuzzy control for chaotic system

    Unknown

  • Observer-based robust adaptive variable universe fuzzy control for chaotic system

    Jiang Wang;Guo-Dong Qiao;Bin Deng

  • Chaotic phase synchronization in small-world networks of bursting neurons

    Haitao Yu;Jiang Wang;Bin Deng;Xile Wei

  • Cost-efficient FPGA implementation of basal ganglia and their Parkinsonian analysis

    Shuangming Yang;Jiang Wang;Shunan Li;Bin Deng

  • Adaptive backstepping sliding mode control for chaos synchronization of two coupled neurons in the external electrical stimulation

    Haitao Yu;Jiang Wang;Bin Deng;Xile Wei

  • Vibrational resonance in excitable neuronal systems

    Haitao Yu;Jiang Wang;Chen Liu;Bin Deng

  • Multivariate multi-scale weighted permutation entropy analysis of EEG complexity for Alzheimer's disease.

    Bin Deng;Lihui Cai;Shunan Li;Ruofan Wang

  • Complexity of resting-state EEG activity in the patients with early-stage Parkinson’s disease

    Guo-Sheng Yi;Jiang Wang;Bin Deng;Xi-Le Wei

  • Functional Integration and Segregation in Multiplex Brain Networks for Alzheimer's Disease.

    Lihui Cai;Xile Wei;Jing Liu;Lin Zhu

  • Synchronization of FitzHugh-Nagumo neurons in external electrical stimulation via nonlinear control

    Jiang Wang;Ting Zhang;Bin Deng

  • Synchronization of coupled FitzHugh–Nagumo systems via MIMO feedback linearization control

    Ting Zhang;Jiang Wang;Xiangyang Fei;Bin Deng

  • Multiple feature extraction and classification of electroencephalograph signal for Alzheimers' with spectrum and bispectrum

    Ruofan Wang;Jiang Wang;Shunan Li;Haitao Yu

  • Training Spiking Neural Networks for Cognitive Tasks: A Versatile Framework Compatible With Various Temporal Codes

    Chaofei Hong;Xile Wei;Jiang Wang;Bin Deng

  • Digital implementations of thalamocortical neuron models and its application in thalamocortical control using FPGA for Parkinson's disease

    Shuangming Yang;Jiang Wang;Shunan Li;Huiyan Li

  • Variable universe fuzzy closed-loop control of tremor predominant Parkinsonian state based on parameter estimation

    Chen Liu;Chen Liu;Jiang Wang;Bin Deng;Xi-Le Wei

Frequent Co-Authors

Kenneth A. Loparo
Kenneth A. Loparo Case Western Reserve University
Bernabé Linares-Barranco
Bernabé Linares-Barranco University of Seville
Shuangxia Niu
Shuangxia Niu Hong Kong Polytechnic University
Bo Li
Bo Li Hong Kong University of Science and Technology

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