World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
5972
World Ranking
8941
National Ranking
543

Hujun Yin 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 Hujun Yin 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: 245 publications — 61st percentile

61% of scientists in this discipline score the same or lower.

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

Hujun Yin 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 Hujun Yin 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

Hujun Yin is affiliated with the University of Manchester in the United Kingdom. Their research primarily spans the fields of Computer Science and Engineering, with a strong focus on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Computational Mechanics, and Statistical and Nonlinear Physics.

The body of their scientific work covers several key topics including Model Reduction and Neural Networks, Image and Signal Denoising Methods, Remote-Sensing Image Classification, Advanced Image Processing Techniques, Fluid Dynamics and Turbulent Flows, Smart Agriculture and AI, and Spectroscopy and Chemometric Analyses.

Recent papers authored by or involving Hujun Yin include the following publications:

  • Design and Experimental Validation of Deep Reinforcement Learning-Based Fast Trajectory Planning and Control for Mobile Robot in Unknown Environment, 2022, IEEE Transactions on Neural Networks and Learning Systems
  • A Survey of Deep Learning Approaches to Image Restoration, 2022, Neurocomputing
  • Deep Learning-Based Aerial Image Segmentation with Open Data for Disaster Impact Assessment, 2021, Neurocomputing
  • Segmentation of Weeds and Crops Using Multispectral Imaging and CRF-Enhanced U-Net, 2023, Computers and Electronics in Agriculture
  • Unsupervised Domain Adaptation Through Dynamically Aligning Both the Feature and Label Spaces, 2022, IEEE Transactions on Circuits and Systems for Video Technology

Frequent collaborators in their research include:

  • Bruce Grieve
  • Halil Mertkan Sahin
  • Tajul Miftahushudur
  • Yao Peng
  • Yiqian Mao

Their works have appeared extensively in notable publication venues, including:

  • arXiv (Cornell University)
  • Physics of Fluids
  • SSRN Electronic Journal
  • Default Digital Object Group
  • Zenodo (CERN European Organization for Nuclear Research)

In addition to journal articles, Hujun Yin has contributed to book publications under Springer Science+Business Media with titles such as "Intelligent Data Engineering and Automated Learning - IDEAL 2021," published in 2021.

Best Publications

  • Advances in Neural Networks - ISNN 2006

    Jun Wang;Zhang Yi;Jacek M. Zurada;Bao-Liang Lu

  • ViSOM - a novel method for multivariate data projection and structure visualization

    Hujun Yin

  • The Self-Organizing Maps: Background, Theories, Extensions and Applications.

    Hujun Yin

  • WLAN having load balancing by access point admission/termination

    Zoran Kostic;Kin K. Leung;Hujun Yin

  • A survey of deep learning approaches to image restoration

    Unknown

  • Self-organizing mixture networks for probability density estimation

    H. Yin;N.M. Allinson

  • Intelligent Data Engineering and Automated Learning – IDEAL 2006

    Emilio Corchado;Hujun Yin;Vicente Botti;Colin Fyfe

  • WLAN having load balancing based on access point loading

    Zoran Kostic;Kin K. Leung;Hujun Yin

  • Meta-Learning with Warped Gradient Descent

    Sebastian Flennerhag;Andrei A. Rusu;Razvan Pascanu;Francesco Visin

  • Data visualisation and manifold mapping using the ViSOM

    Hujun Yin

  • Intelligent Data Engineering and Automated Learning – IDEAL 2004

    Zheng Rong Yang;Hujun Yin;Richard M. Everson

  • Exchange rate prediction using hybrid neural networks and trading indicators

    He Ni;Hujun Yin

  • Adaptive MAC fragmentation and rate selection for 802.11 wireless networks

    Leonard Joseph Cimini;Zoran Kostic;Kin K Leung;Hujun Yin

  • Image denoising using self-organizing map-based nonlinear independent component analysis

    Michel Haritopoulos;Hujun Yin;Nigel M. Allinson

  • On the distribution and convergence of feature space in self-organizing maps

    Hujun Yin;Nigel M. Allinson

  • Deep Learning Models for Denoising ECG Signals

    Corneliu T.C. Arsene;Richard Hankins;Hujun Yin

  • The Challenges Posed by Global Broadacre Crops in Delivering Smart Agri- Robotic Solutions: A Fundamental Rethink is Required

    Bruce Donaldson Grieve;Tom Duckett;Martin Collison;Lesley Boyd

  • Clustering of unevenly sampled gene expression time-series data

    C. S. Möller-Levet;F. Klawonn;K. H. Cho;H. Yin

  • Kernel self-organising maps for classification

    K. W. Lau;Hujun Yin;Simon J. Hubbard

  • Packet shaping for mixed rate 802.11 wireless networks

    Leonard Joseph Cimini;Zoran Kostic;Kin K. Leung;Hujun Yin

  • Intelligent Data Engineering and Automated Learning - Ideal 2009

    Emilio Corchado;Hujun Yin

  • Intelligent data engineering and automated learning - IDEAL 2006 : 7th International Conference Burgos, Spain, September 20-23, 2006, proceedings

    Emilio Corchado;Hujun Yin;Vicente Botti

  • Intelligent data engineering and automated learning - IDEAL 2004 : 5th International Conference, Exeter, UK, August 25-27, 2004 : proceedings

    Zheng Rong Yang;Richard Everson;Hujun Yin

Frequent Co-Authors

Yang Gao
Yang Gao Google (United Kingdom)
Emilio Corchado
Emilio Corchado University of Salamanca
Kin K. Leung
Kin K. Leung Imperial College London
Yinghuan Shi
Yinghuan Shi Nanjing University
Colin Fyfe
Colin Fyfe University of the West of Scotland
Songcan Chen
Songcan Chen Nanjing University of Aeronautics and Astronautics
Zhang Yi
Zhang Yi Sichuan University
Bao-Liang Lu
Bao-Liang Lu Shanghai Jiao Tong University
Simon J. Hubbard
Simon J. Hubbard Manchester Academic Health Science Centre
Vicente Botti
Vicente Botti Universitat Politècnica de València

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