World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
57
Citations
14985
World Ranking
3791
National Ranking
504

Mingkui Tan 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 Mingkui Tan 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: 212 publications — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Mingkui Tan 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 Mingkui Tan 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: 57 D-Index — 74th percentile

74% of scientists in this discipline score the same or lower.

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

Overview

Mingkui Tan is affiliated with the South China University of Technology in China. Their academic work is concentrated primarily in the field of Computer Science, with a substantial number of publications totaling 343. Within this broad discipline, their focus narrows down to significant subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Ophthalmology, and Media Technology.

The scientist's recent publications span various topics and prestigious venues in the field. Notable papers include:

  • "Deep High-Resolution Representation Learning for Visual Recognition" (2020), published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Perception-Aware Multi-Sensor Fusion for 3D LiDAR Semantic Segmentation" (2021), presented at the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "Location-Aware Graph Convolutional Networks for Video Question Answering" (2020), published in the Proceedings of the AAAI Conference on Artificial Intelligence
  • "Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis" (2020), published in IEEE Transactions on Image Processing
  • "Discrimination-aware Network Pruning for Deep Model Compression" (2021), published in IEEE Transactions on Pattern Analysis and Machine Intelligence

The frequent publication venues for Mingkui Tan indicate an engagement with both conference proceedings and leading journals. These venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Multimedia
  • IEEE Transactions on Circuits and Systems for Video Technology

Co-authorship is a notable aspect of their research career, reflecting collaboration with numerous researchers. Frequent co-authors include:

  • Chuang Gan
  • Peilin Zhao
  • Yong Guo
  • Peihao Chen
  • Shuaicheng Niu

The core research topics addressed by Mingkui Tan include cutting-edge areas in machine learning and computer vision. These main topics are:

  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Advanced Neural Network Applications
  • Human Pose and Action Recognition
  • Advanced Image and Video Retrieval Techniques
  • Advanced Vision and Imaging
  • Anomaly Detection Techniques and Applications

Best Publications

  • Deep High-Resolution Representation Learning for Visual Recognition

    Jingdong Wang;Ke Sun;Tianheng Cheng;Borui Jiang

  • Graph Convolutional Networks for Temporal Action Localization

    Runhao Zeng;Wenbing Huang;Chuang Gan;Mingkui Tan

  • Discrimination-aware channel pruning for deep neural networks

    Zhuangwei Zhuang;Mingkui Tan;Bohan Zhuang;Jing Liu

  • Closed-Loop Matters: Dual Regression Networks for Single Image Super-Resolution

    Yong Guo;Jian Chen;Jingdong Wang;Qi Chen

  • Domain-Symmetric Networks for Adversarial Domain Adaptation

    Yabin Zhang;Hui Tang;Kui Jia;Mingkui Tan

  • Dense Regression Network for Video Grounding

    Runhao Zeng;Haoming Xu;Wenbing Huang;Peihao Chen

  • Towards Effective Low-Bitwidth Convolutional Neural Networks

    Bohan Zhuang;Chunhua Shen;Mingkui Tan;Lingqiao Liu

  • Learning Sparse SVM for Feature Selection on Very High Dimensional Datasets

    Mingkui Tan;Li Wang;Li Wang;Ivor W. Tsang

  • Attention Guided Network for Retinal Image Segmentation

    Shihao Zhang;Huazhu Fu;Yuguang Yan;Yubing Zhang

  • Visual Grounding via Accumulated Attention

    Chaorui Deng;Qi Wu;Qingyao Wu;Fuyuan Hu

  • Gene selection using hybrid particle swarm optimization and genetic algorithm

    Shutao Li;Xixian Wu;Mingkui Tan

  • Towards ultrahigh dimensional feature selection for big data

    Mingkui Tan;Ivor W. Tsang;Li Wang

  • Perception-Aware Multi-Sensor Fusion for 3D LiDAR Semantic Segmentation

    Zhuangwei Zhuang;Rong Li;Yuanqing Li;Kui Jia

  • Robust Kernel Low-Rank Representation

    Shijie Xiao;Mingkui Tan;Dong Xu;Zhao Yang Dong

  • Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis

    Yifan Zhang;Ying Wei;Qingyao Wu;Peilin Zhao

  • Efficient Test-Time Model Adaptation without Forgetting

    Unknown

  • Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation

    Bohan Zhuang;Chunhua Shen;Mingkui Tan;Lingqiao Liu

  • Location-Aware Graph Convolutional Networks for Video Question Answering.

    Deng Huang;Peihao Chen;Runhao Zeng;Qing Du

  • Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation

    Zhen Qiu;Yifan Zhang;Hongbin Lin;Shuaicheng Niu

  • Heterogeneous Domain Adaptation for Multiple Classes

    Joey Tianyi Zhou;Ivor W. Tsang;Sinno Jialin Pan;Mingkui Tan

  • Visual Grounding via Accumulated Attention.

    Chaorui Deng;Qi Wu;Qingyao Wu;Fan Lyu

  • Graph Convolutional Networks for Temporal Action Localization

    Runhao Zeng;Wenbing Huang;Mingkui Tan;Yu Rong

Frequent Co-Authors

Junzhou Huang
Junzhou Huang The University of Texas at Arlington
Peilin Zhao
Peilin Zhao Tencent (China)
Ivor W. Tsang
Ivor W. Tsang Agency for Science, Technology and Research
Chunhua Shen
Chunhua Shen Zhejiang University
Chuang Gan
Chuang Gan University of Massachusetts Amherst
Yanwu Xu
Yanwu Xu South China University of Technology
Qi Wu
Qi Wu University of Adelaide
Qinfeng Shi
Qinfeng Shi University of Adelaide
Li Wang
Li Wang National Cheng Kung University
Anton van den Hengel
Anton van den Hengel University of Adelaide

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 studies in the USA opens many options, including flexible online degrees that fit various career goals and budgets. For students seeking accelerated credentials, look into the quickest cheapest masters degree programs offered online. These can help you gain a postgraduate qualification in less time, saving both money and effort.

When planning your future, consider the most in demand masters degrees. Specializing in high-demand fields like data science or IT management boosts your employment prospects and earning potential.

Not ready for a full bachelor’s or master’s program? You can complete 1 year associate degree programs online for a quick entry into the tech workforce or a foundation for further study.

Worried about costs? Numerous institutions are recognized as the cheapest online college options, offering accredited degrees and certificates at affordable tuition rates. Exploring these online study possibilities can help you create a personalized path to a rewarding career in computer science.

Best Scientists Citing Mingkui Tan

Trending Scientists

Recently Published Articles