World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
9889
World Ranking
10001
National Ranking
400

Hui Jiang 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 Hui Jiang 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: 176 publications — 37th percentile

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

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

Hui Jiang 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 Hui Jiang 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: 38 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Overview

Hui Jiang is affiliated with York University in Canada and has contributed extensively to the field of computer science, particularly focusing on artificial intelligence, computer vision and pattern recognition, and information systems. Their research portfolio includes topics such as topic modeling, natural language processing techniques, handwritten text recognition techniques, advanced neural network applications, sentiment analysis and opinion mining, text and document classification technologies, and mathematical and theoretical epidemiology and ecology models.

The scientist's recent papers reflect a range of contributions to diverse areas. Notable publications include:

  • Enhanced aspect-based sentiment analysis models with progressive self-supervised attention learning, 2021, Artificial Intelligence
  • Customized Federated Learning for accelerated edge computing with heterogeneous task targets, 2020, Computer Networks
  • A study of regional homogeneity of resting-state Functional Magnetic Resonance Imaging in mild cognitive impairment, 2021, Behavioural Brain Research
  • Dynamical behaviors of a heroin population model with standard incidence rates between distinct patches, 2021, Journal of the Franklin Institute
  • On Approximation Capabilities of ReLU Activation and Softmax Output Layer in Neural Networks, 2020, arXiv (Cornell University)

Hui Jiang often collaborates with a core group of researchers, including:

  • Jinsong Su
  • Yubin Ge
  • Linfeng Song
  • Yunlu Xu
  • Zhanzhan Cheng

Their frequent publication venues indicate a focus on foundational and applied computer science outlets with multiple publications in arXiv (Cornell University), as well as contributions in Applied Ecology and Environmental Research, Artificial Intelligence, Computer Networks, and Behavioural Brain Research.

Their work spans 41 publications in computer science, with 21 of those specifically related to artificial intelligence. Other significant subfields include computer vision and pattern recognition (13 publications), information systems (4 publications), plant science (4 publications), and radiology, nuclear medicine, and imaging (3 publications).

Best Publications

  • Convolutional neural networks for speech recognition

    Ossama Abdel-Hamid;Abdel-Rahman Mohamed;Hui Jiang;Li Deng

  • Enhanced LSTM for Natural Language Inference

    Qian Chen;Xiaodan Zhu;Zhen-Hua Ling;Si Wei

  • Applying Convolutional Neural Networks concepts to hybrid NN-HMM model for speech recognition

    Ossama Abdel-Hamid;Abdel-rahman Mohamed;Hui Jiang;Gerald Penn

  • Confidence measures for speech recognition: A survey

    Hui Jiang

  • Fast speaker adaptation of hybrid NN/HMM model for speech recognition based on discriminative learning of speaker code

    Ossama Abdel-Hamid;Hui Jiang

  • Generating images with recurrent adversarial networks

    Daniel Jiwoong Im;Chris Dongjoo Kim;Hui Jiang;Roland Memisevic

  • Large margin hidden Markov models for speech recognition

    Hui Jiang;Xinwei Li;Chaojun Liu

  • Fast adaptation of deep neural network based on discriminant codes for speech recognition

    Shaofei Xue;Ossama Abdel-Hamid;Hui Jiang;Lirong Dai

  • Learning Semantic Word Embeddings based on Ordinal Knowledge Constraints

    Quan Liu;Hui Jiang;Si Wei;Zhen-Hua Ling

  • A Local Detection Approach for Named Entity Recognition and Mention Detection

    Mingbin Xu;Hui Jiang;Sedtawut Watcharawittayakul

  • Investigation of deep neural networks (DNN) for large vocabulary continuous speech recognition: Why DNN surpasses GMMS in acoustic modeling

    Jia Pan;Cong Liu;Zhiguo Wang;Yu Hu

  • Enhancing and Combining Sequential and Tree LSTM for Natural Language Inference.

    Qian Chen;Xiaodan Zhu;Zhen-Hua Ling;Si Wei

  • Discriminative training of HMMs for automatic speech recognition: A survey

    Hui Jiang

  • Distraction-based neural networks for modeling documents

    Qian Chen;Xiaodan Zhu;Zhenhua Ling;Si Wei

  • Discriminative training of language models for speech recognition

    Hong-Kwang Jeff Kuo;Eric Fosler-Lussier;Hui Jiang;Chin-Hui Lee

  • Recurrent Neural Network-Based Sentence Encoder with Gated Attention for Natural Language Inference

    Qian Chen;Xiaodan Zhu;Zhen-Hua Ling;Si Wei

  • Probabilistic Reasoning via Deep Learning: Neural Association Models.

    Quan Liu;Hui Jiang;Zhen-Hua Ling;Si Wei

  • Distraction-Based Neural Networks for Document Summarization.

    Qian Chen;Xiaodan Zhu;Zhen-Hua Ling;Si Wei

  • Leverage Financial News to Predict Stock Price Movements Using Word Embeddings and Deep Neural Networks

    Yangtuo Peng;Hui Jiang

  • The Fixed-Size Ordinally-Forgetting Encoding Method for Neural Network Language Models

    ShiLiang Zhang;Hui Jiang;MingBin Xu;JunFeng Hou

  • Robust speech recognition based on a Bayesian prediction approach

    Hui Jiang;K. Hirose;Qiang Huo

  • A Bayesian predictive classification approach to robust speech recognition

    Qiang Huo;Hui Jiang;Chin-Hui Lee

Frequent Co-Authors

Li-Rong Dai
Li-Rong Dai University of Science and Technology of China
Zhen-Hua Ling
Zhen-Hua Ling University of Science and Technology of China
Xiaodan Zhu
Xiaodan Zhu Queen's University
Chin-Hui Lee
Chin-Hui Lee Georgia Institute of Technology
Frank K. Soong
Frank K. Soong Microsoft Research Asia (China)
Li Deng
Li Deng Citadel
Diana Inkpen
Diana Inkpen University of Ottawa
Qian-Jie Fu
Qian-Jie Fu University of California, Los Angeles
Jun Du
Jun Du University of Science and Technology of China
Andrew Emili
Andrew Emili Boston University

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