World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
50
Citations
8071
World Ranking
5699
National Ranking
756

Mingliang Xu 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 Mingliang Xu 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: 369 publications — 84th percentile

84% of scientists in this discipline score the same or lower.

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

Mingliang Xu 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 Mingliang Xu 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: 50 D-Index — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

Overview

Mingliang Xu is affiliated with Zhengzhou University in China, contributing extensively to the fields of computer science and engineering. Their research spans multiple subfields, particularly emphasizing areas within computer vision and pattern recognition, artificial intelligence, industrial and manufacturing engineering, media technology, and building and construction.

The scientist has published a significant number of works, with a notable presence in high-impact venues. Frequent publication venues include arXiv (Cornell University), IEEE Transactions on Multimedia, IEEE Transactions on Visualization and Computer Graphics, SSRN Electronic Journal, and IEEE Transactions on Neural Networks and Learning Systems.

Mingliang Xu's recent papers include:

  • Interfacial Microenvironment Modulation Boosting Electron Transfer between Metal Nanoparticles and MOFs for Enhanced Photocatalysis, 2021, Angewandte Chemie International Edition
  • DerainCycleGAN: Rain Attentive CycleGAN for Single Image Deraining and Rainmaking, 2021, IEEE Transactions on Image Processing
  • Adaptive Exploration for Unsupervised Person Re-identification, 2020, ACM Transactions on Multimedia Computing Communications and Applications
  • Occlude Them All: Occlusion-Aware Attention Network for Occluded Person Re-ID, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Deep Color Consistent Network for Low-Light Image Enhancement, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Their research contributions cover a range of specialized topics, including advanced neural network applications, industrial vision systems and defect detection, advanced image and video retrieval techniques, video surveillance and tracking methods, human pose and action recognition, domain adaptation and few-shot learning, and anomaly detection techniques and applications.

Mingliang Xu collaborates frequently with other researchers in the field. Frequent coauthors include Xiaoheng Jiang, Pei Lv, Zhao Zhang, Yi Yang, and Meng Wang, reflecting a sustained engagement in collaborative research endeavors.

Best Publications

  • Dual-path Convolutional Image-Text Embeddings with Instance Loss

    Zhedong Zheng;Liang Zheng;Michael Garrett;Yi Yang

  • Attention Scaling for Crowd Counting

    Xiaoheng Jiang;Li Zhang;Mingliang Xu;Tianzhu Zhang

  • DerainCycleGAN: Rain Attentive CycleGAN for Single Image Deraining and Rainmaking

    Yanyan Wei;Zhao Zhang;Yang Wang;Mingliang Xu

  • Robust Lane Detection using Two-stage Feature Extraction with Curve Fitting

    Jianwei Niu;Jie Lu;Mingliang Xu;Pei Lv

  • Deep Color Consistent Network for Low-Light Image Enhancement

    Unknown

  • Person Re-Identification with Correspondence Structure Learning

    Yang Shen;Weiyao Lin;Junchi Yan;Mingliang Xu

  • A cloud image detection method based on SVM vector machine

    Pengfei Li;Limin Dong;Huachao Xiao;Mingliang Xu

  • Attention-Guided Hierarchical Structure Aggregation for Image Matting

    Yu Qiao;Yuhao Liu;Xin Yang;Dongsheng Zhou

  • Occlude Them All: Occlusion-Aware Attention Network for Occluded Person Re-ID

    Peixian Chen;Wenfeng Liu;Pingyang Dai;Jianzhuang Liu

  • High quality multi-spectral and panchromatic image fusion technologies based on Curvelet transform

    Limin Dong;Qingxiang Yang;Haiyong Wu;Huachao Xiao

  • Crowd Behavior Simulation With Emotional Contagion in Unexpected Multihazard Situations

    Mingliang Xu;Xiaozheng Xie;Pei Lv;Jianwei Niu

  • SDDNet: A Fast and Accurate Network for Surface Defect Detection

    Lisha Cui;Xiaoheng Jiang;Mingliang Xu;Wanqing Li

  • Adaptive Exploration for Unsupervised Person Re-identification

    Yuhang Ding;Hehe Fan;Mingliang Xu;Yi Yang

  • TRAR: Routing the Attention Spans in Transformer for Visual Question Answering

    Yiyi Zhou;Tianhe Ren;Chaoyang Zhu;Xiaoshuai Sun

  • Align and Tell: Boosting Text-Video Retrieval With Local Alignment and Fine-Grained Supervision

    Unknown

  • Enabling Efficient Scheduling in Large-Scale UAV-Assisted Mobile Edge Computing via Hierarchical Reinforcement Learning

    Tao Ren;Jianwei Niu;Bin Dai;Xuefeng Liu

  • Context-Aware Block Net for Small Object Detection.

    Lisha Cui;Pei Lv;Xiaoheng Jiang;Zhimin Gao

  • Kernelized Multiview Subspace Analysis By Self-Weighted Learning

    Huibing Wang;Yang Wang;Zhao Zhang;Xianping Fu

  • Crowd Simulation and Its Applications: Recent Advances

    Ming-Liang Xu;Hao Jiang;Xiao-Gang Jin;Zhigang Deng

  • An Efficient Method of Crowd Aggregation Computation in Public Areas

    Mingliang Xu;Chunxu Li;Pei Lv;Nie Lin

  • Adaptive Exploration for Unsupervised Person Re-Identification

    Yuhang Ding;Hehe Fan;Mingliang Xu;Yi Yang

  • Trear: Transformer-based RGB-D Egocentric Action Recognition

    Xiangyu Li;Yonghong Hou;Pichao Wang;Zhimin Gao

  • Unsupervised Person Re-identification via Cross-Camera Similarity Exploration

    Yutian Lin;Yu Wu;Chenggang Yan;Mingliang Xu

  • Pornographic image detection utilizing deep convolutional neural networks

    Fudong Nian;Teng Li;Yan Wang;Mingliang Xu

  • Margin & diversity based ordering ensemble pruning

    Huaping Guo;Hongbing Liu;Ran Li;Changan Wu

  • Kernelized Multiview Subspace Analysis by Self-weighted Learning

    Huibing Wang;Yang Wang;Zhao Zhang;Xianping Fu

  • Crowd Behavior Simulation with Emotional Contagion in Unexpected Multi-hazard Situations

    Mingliang Xu;Xiaozheng Xie;Pei Lv;Jiangwei Niu

Frequent Co-Authors

Zhigang Deng
Zhigang Deng University of Houston
Jianwei Niu
Jianwei Niu Beihang University
Rongrong Ji
Rongrong Ji Xiamen University
Dinesh Manocha
Dinesh Manocha University of Maryland, College Park
Zhao Zhang
Zhao Zhang Hefei University of Technology
Wanqing Li
Wanqing Li University of Wollongong
Meng Wang
Meng Wang Hefei University of Technology
Wei Chen
Wei Chen Zhejiang University
Ling Shao
Ling Shao Terminus International
Changsheng Xu
Changsheng Xu Chinese Academy of Sciences

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