World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
10574
World Ranking
7446
National Ranking
981

Yunming Ye 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 Yunming Ye 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: 233 publications — 57th percentile

57% of scientists in this discipline score the same or lower.

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

Yunming Ye 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 Yunming Ye 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: 44 D-Index — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Overview

Yunming Ye is affiliated with the Harbin Institute of Technology in China and has a significant body of work in computer science, with a focus on artificial intelligence, computer vision and pattern recognition, and atmospheric science.

Their research spans several subfields, including:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Atmospheric Science
  • Media Technology
  • Electrical and Electronic Engineering

Ye has contributed to main topics such as:

  • Domain Adaptation and Few-Shot Learning
  • Meteorological Phenomena and Simulations
  • Remote-Sensing Image Classification
  • Precipitation Measurement and Analysis
  • Multimodal Machine Learning Applications
  • Advanced Image and Video Retrieval Techniques
  • Flood Risk Assessment and Management

Their publications are primarily found in these venues:

  • IEEE Transactions on Geoscience and Remote Sensing
  • arXiv (Cornell University)
  • IEEE Transactions on Circuits and Systems for Video Technology
  • SSRN Electronic Journal
  • Pattern Recognition

Notable recent papers include:

  • "Multisource Data Reconstruction-Based Deep Unsupervised Hashing for Unisource Remote Sensing Image Retrieval," 2022, IEEE Transactions on Geoscience and Remote Sensing
  • "PFST-LSTM: A SpatioTemporal LSTM Model With Pseudoflow Prediction for Precipitation Nowcasting," 2020, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • "Knowledge Guided Capsule Attention Network for Aspect-Based Sentiment Analysis," 2020, IEEE/ACM Transactions on Audio Speech and Language Processing
  • "A Novel LSTM Model with Interaction Dual Attention for Radar Echo Extrapolation," 2021, Remote Sensing
  • "Synergistic 2D/3D Convolutional Neural Network for Hyperspectral Image Classification," 2020, Remote Sensing

Ye collaborates frequently with several coauthors who contribute across different aspects of their research. Prominent collaborators include:

  • Xutao Li
  • Baoquan Zhang
  • Shanshan Feng
  • Chuyao Luo
  • Bowen Zhang

The diversity of coauthors and publication venues reflects a broad interdisciplinary approach integrating machine learning techniques with remote sensing, meteorology, and multimedia technologies.

Best Publications

  • DeepFM: a factorization-machine based neural network for CTR prediction

    Huifeng Guo;Ruiming Tang;Yunming Ye;Zhenguo Li

  • DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

    Huifeng Guo;Ruiming Tang;Yunming Ye;Zhenguo Li

  • Hyperspectral Image Classification With Deep Learning Models

    Xiaofei Yang;Yunming Ye;Xutao Li;Raymond Y. K. Lau

  • Multisource Data Reconstruction-Based Deep Unsupervised Hashing for Unisource Remote Sensing Image Retrieval

    Unknown

  • Security Issues and Challenges for Cyber Physical System

    Eric Ke Wang;Yunming Ye;Xiaofei Xu;S. M. Yiu

  • Stratified sampling for feature subspace selection in random forests for high dimensional data

    Yunming Ye;Qingyao Wu;Joshua Zhexue Huang;Michael K. Ng

  • Road Detection and Centerline Extraction Via Deep Recurrent Convolutional Neural Network U-Net

    Xiaofei Yang;Xutao Li;Yunming Ye;Raymond Y. K. Lau

  • TW-k-means: Automated two-level variable weighting clustering algorithm for multiview data

    Xiaojun Chen;Xiaofei Xu;J. Z. Huang;Yunming Ye

  • A feature group weighting method for subspace clustering of high-dimensional data

    Xiaojun Chen;Yunming Ye;Xiaofei Xu;Joshua Zhexue Huang

  • Time series k-means

    Xiaohui Huang;Yunming Ye;Liyan Xiong;Raymond Y.K. Lau

  • Prototype Completion with Primitive Knowledge for Few-Shot Learning

    Baoquan Zhang;Xutao Li;Yunming Ye;Zhichao Huang

  • ForesTexter: An efficient random forest algorithm for imbalanced text categorization

    Qingyao Wu;Yunming Ye;Haijun Zhang;Michael K. Ng

  • MultiRank: co-ranking for objects and relations in multi-relational data

    Michaek Kwok-Po Ng;Xutao Li;Yunming Ye

  • Low-Rank Tensor Completion with Total Variation for Visual Data Inpainting

    Xutao Li;Yunming Ye;Xiaofei Xu

  • Extensions of kmeans-type algorithms: a new clustering framework by integrating intracluster compactness and intercluster separation.

    Xiaohui Huang;Yunming Ye;Haijun Zhang

  • MR-NTD: Manifold Regularization Nonnegative Tucker Decomposition for Tensor Data Dimension Reduction and Representation

    Xutao Li;Michael K. Ng;Gao Cong;Yunming Ye

  • A Probabilistic Generative Model for Mining Cybercriminal Networks from Online Social Media

    Raymond Y. K. Lau;Yunqing Xia;Yunming Ye

  • A Generative Adversarial Gated Recurrent Unit Model for Precipitation Nowcasting

    Lin Tian;Xutao Li;Yunming Ye;Pengfei Xie

  • Classifying Very High-Dimensional Data with Random Forests Built from Small Subspaces

    Unknown

  • PFST-LSTM: A SpatioTemporal LSTM Model With Pseudoflow Prediction for Precipitation Nowcasting

    Chuyao Luo;Xutao Li;Yunming Ye

  • Enhancing Cross-target Stance Detection with Transferable Semantic-Emotion Knowledge

    Bowen Zhang;Min Yang;Xutao Li;Yunming Ye

  • MultiComm: Finding Community Structurein Multi-Dimensional Networks

    Xutao Li;Michael K. Ng;Yunming Ye

  • Deep Reinforcement Learning based Recommendation with Explicit User-Item Interactions Modeling.

    Feng Liu;Ruiming Tang;Xutao Li;Yunming Ye

  • HAR: Hub, authority and relevance scores in multi-relational data for query search

    Xutao Li;Michael K. Ng;Yunming Ye

Frequent Co-Authors

Michael K. Ng
Michael K. Ng Hong Kong Baptist University
Xiuqiang He
Xiuqiang He Huawei Technologies (China)
Raymond Y. K. Lau
Raymond Y. K. Lau City University of Hong Kong
Yu Zhang
Yu Zhang Southern University of Science and Technology
Zhenguo Li
Zhenguo Li Huawei Technologies (China)
Shuigeng Zhou
Shuigeng Zhou Fudan University
Joshua Zhexue Huang
Joshua Zhexue Huang Shenzhen University
Siu-Ming Yiu
Siu-Ming Yiu University of Hong Kong
Xiaowen Chu
Xiaowen Chu Hong Kong Baptist University
Jiuyong Li
Jiuyong Li University of South Australia

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