World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
8205
World Ranking
6542
National Ranking
877

Mingli Song 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 Mingli Song 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: 230 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.

Mingli Song 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 Mingli Song 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: 47 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Overview

Mingli Song is affiliated with Zhejiang University in China, contributing extensively to the field of computer science. Their research spans various subfields including artificial intelligence, computer vision and pattern recognition, electrical and electronic engineering, radiology, nuclear medicine and imaging, as well as computer networks and communications.

Their scholarly output includes numerous papers published in recognized venues such as:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • SSRN Electronic Journal
  • IEEE Transactions on Knowledge and Data Engineering
  • Neurocomputing

Among the recent publications associated with Mingli Song are:

  • "Dynamic Instance Normalization for Arbitrary Style Transfer" (2020), published in Proceedings of the AAAI Conference on Artificial Intelligence
  • "Online Knowledge Distillation for Efficient Pose Estimation" (2021), published at the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "Hearing Lips: Improving Lip Reading by Distilling Speech Recognizers" (2020), published in Proceedings of the AAAI Conference on Artificial Intelligence
  • "Spot-Adaptive Knowledge Distillation" (2022), published in IEEE Transactions on Image Processing
  • "Label Matching Semi-Supervised Object Detection" (2022), published at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Frequent coauthors collaborating with Mingli Song include:

  • Zunlei Feng
  • Xinchao Wang
  • Jie Song
  • Shunyu Liu
  • Haofei Zhang

The main fields of study and topics covered by Mingli Song's work are:

  • Computer Science

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Radiology, Nuclear Medicine and Imaging
  • Computer Networks and Communications

Key research topics explored include:

  • Advanced Neural Network Applications
  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Advanced Graph Neural Networks
  • Anomaly Detection Techniques and Applications
  • Human Pose and Action Recognition
  • Adversarial Robustness in Machine Learning

Best Publications

  • Neural Style Transfer: A Review

    Yongcheng Jing;Yezhou Yang;Zunlei Feng;Jingwen Ye

  • Semi-supervised Coupled Dictionary Learning for Person Re-identification

    Xiao Liu;Mingli Song;Dacheng Tao;Xingchen Zhou

  • Distilling Knowledge From Graph Convolutional Networks

    Yiding Yang;Jiayan Qiu;Mingli Song;Dacheng Tao

  • Discovering Discriminative Graphlets for Aerial Image Categories Recognition

    Luming Zhang;Yahong Han;Yi Yang;Mingli Song

  • Transductive Unbiased Embedding for Zero-Shot Learning

    Jie Song;Chengchao Shen;Yezhou Yang;Yang Liu

  • Probabilistic Graphlet Transfer for Photo Cropping

    Luming Zhang;Mingli Song;Qi Zhao;Xiao Liu

  • Dynamic Instance Normalization for Arbitrary Style Transfer

    Yongcheng Jing;Xiao Liu;Yukang Ding;Xinchao Wang

  • Probabilistic Exposure Fusion

    Mingli Song;Dacheng Tao;Chun Chen;Jiajun Bu

  • Audio-visual based emotion recognition - a new approach

    Mingli Song;Jiajun Bu;Chun Chen;Nan Li

  • Probabilistic Graphlet Cut: Exploiting Spatial Structure Cue for Weakly Supervised Image Segmentation

    Luming Zhang;Mingli Song;Zicheng Liu;Xiao Liu

  • Bayesian Tensor Approach for 3-D Face Modeling

    Dacheng Tao;Mingli Song;Xuelong Li;Jialie Shen

  • Weakly Supervised Photo Cropping

    Luming Zhang;Mingli Song;Yi Yang;Qi Zhao

  • Algorithm-Dependent Generalization Bounds for Multi-Task Learning

    Tongliang Liu;Dacheng Tao;Mingli Song;Stephen J. Maybank

  • Person Re-Identification by Dual-Regularized KISS Metric Learning

    Dapeng Tao;Yanan Guo;Mingli Song;Yaotang Li

  • Image Ratio Features for Facial Expression Recognition Application

    Mingli Song;Dacheng Tao;Zicheng Liu;Xuelong Li

  • Color to Gray: Visual Cue Preservation

    Mingli Song;Dacheng Tao;Chun Chen;Xuelong Li

  • Data-Free Adversarial Distillation

    Gongfan Fang;Jie Song;Chengchao Shen;Xinchao Wang

  • Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields

    Yongcheng Jing;Yang Liu;Yezhou Yang;Zunlei Feng

  • Manifold Ranking-Based Matrix Factorization for Saliency Detection

    Dapeng Tao;Jun Cheng;Mingli Song;Xu Lin

  • NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results

    Jianrui Cai;Shuhang Gu;Radu Timofte;Lei Zhang

  • Factorizable Graph Convolutional Networks

    Yiding Yang;Zunlei Feng;Mingli Song;Xinchao Wang

Frequent Co-Authors

Chun Chen
Chun Chen Zhejiang University
Jiajun Bu
Jiajun Bu Zhejiang University
Xinchao Wang
Xinchao Wang National University of Singapore
Dacheng Tao
Dacheng Tao Nanyang Technological University
Jie Song
Jie Song Emory University
Xiao Liu
Xiao Liu Baidu (China)
Yezhou Yang
Yezhou Yang Arizona State University
Dapeng Tao
Dapeng Tao Yunnan University
Zicheng Liu
Zicheng Liu Microsoft (United States)
Qi Zhao
Qi Zhao University of Minnesota

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Computer Science in the USA often opens doors to various related fields and online degree options. Many students look into areas like engineering, physics, or data science to broaden their career prospects and technical skills.

For those interested in engineering, pursuing the cheapest online master's mechanical engineering programs lets you gain advanced engineering knowledge without breaking the bank. Similarly, a physics degree online can be a flexible, cost-effective way to strengthen your analytical and problem-solving abilities.

Data science is another popular path, especially if you’re eager to work with big data and AI technologies. You can explore the cheapest master in data science programs to find affordable, high-quality online options.

Lastly, if you’re considering a career in electronics or power systems, research the top online electrical engineering schools for leading programs that can be completed remotely. These online degrees offer flexibility and diverse career opportunities for aspiring tech professionals.

Best Scientists Citing Mingli Song

Trending Scientists

Recently Published Articles