World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
10879
World Ranking
4603
National Ranking
617

Yuming Fang 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 Yuming Fang 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 238 publications — 59th percentile

59% of scientists in this discipline score the same or lower.

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

Yuming Fang 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 Yuming Fang sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 54 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Overview

Yuming Fang is affiliated with Jiangxi University of Finance and Economics in China. Their research focuses primarily on computer science and engineering, with significant contributions in the subfields of computer vision and pattern recognition, media technology, artificial intelligence, aerospace engineering, and biomedical engineering.

The scientist's work covers several main topics including:

  • Image and Video Quality Assessment
  • Image Enhancement Techniques
  • Visual Attention and Saliency Detection
  • Advanced Image Fusion Techniques
  • Advanced Image Processing Techniques
  • Advanced Vision and Imaging
  • Advanced Image and Video Retrieval Techniques

Yuming Fang has published extensively, with a focus on image processing and video technology. They have contributed 38 publications to arXiv (Cornell University), 24 to IEEE Transactions on Circuits and Systems for Video Technology, 18 to IEEE Transactions on Image Processing, 11 to IEEE Transactions on Multimedia, and 8 to the Journal of Image and Graphics.

Recent notable papers by Yuming Fang include:

  • "Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images," 2020, IEEE Transactions on Image Processing
  • "Single Image Deraining: From Model-Based to Data-Driven and Beyond," 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Band Representation-Based Semi-Supervised Low-Light Image Enhancement: Bridging the Gap Between Signal Fidelity and Perceptual Quality," 2021, IEEE Transactions on Image Processing
  • "A visually secure image encryption scheme based on semi-tensor product compressed sensing," 2020, Signal Processing
  • "Omnidirectional Image Quality Assessment by Distortion Discrimination Assisted Multi-Stream Network," 2021, IEEE Transactions on Circuits and Systems for Video Technology

The scientist's frequent collaborators include Jiebin Yan, Yifan Zuo, Wenying Wen, Wenhui Jiang, and Yushu Zhang, reflecting a consistent engagement with peers in relevant fields.

Best Publications

  • From Fidelity to Perceptual Quality: A Semi-Supervised Approach for Low-Light Image Enhancement

    Wenhan Yang;Shiqi Wang;Yuming Fang;Yue Wang

  • No-Reference Quality Assessment of Contrast-Distorted Images Based on Natural Scene Statistics

    Yuming Fang;Kede Ma;Zhou Wang;Weisi Lin

  • Saliency Detection in the Compressed Domain for Adaptive Image Retargeting

    Yuming Fang;Zhenzhong Chen;Weisi Lin;Chia-Wen Lin

  • Perceptual Quality Assessment of Smartphone Photography

    Yuming Fang;Hanwei Zhu;Yan Zeng;Kede Ma

  • Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images

    Qijian Zhang;Runmin Cong;Chongyi Li;Ming-Ming Cheng

  • Single Image Deraining: From Model-Based to Data-Driven and Beyond

    Wenhan Yang;Robby T. Tan;Shiqi Wang;Yuming Fang

  • A Saliency Detection Model Using Low-Level Features Based on Wavelet Transform

    N. Imamoglu;Weisi Lin;Yuming Fang

  • A Video Saliency Detection Model in Compressed Domain

    Yuming Fang;Weisi Lin;Zhenzhong Chen;Chia-Ming Tsai

  • No-Reference Quality Assessment for Multiply-Distorted Images in Gradient Domain

    Qiaohong Li;Weisi Lin;Yuming Fang

  • Perceptual Quality Assessment of Screen Content Images

    Huan Yang;Yuming Fang;Weisi Lin

  • Video Saliency Incorporating Spatiotemporal Cues and Uncertainty Weighting

    Yuming Fang;Zhou Wang;Weisi Lin;Zhijun Fang

  • Saliency-Based Defect Detection in Industrial Images by Using Phase Spectrum

    Xiaolong Bai;Yuming Fang;Weisi Lin;Lipo Wang

  • Blind Image Quality Assessment Using Statistical Structural and Luminance Features

    Qiaohong Li;Weisi Lin;Jingtao Xu;Yuming Fang

  • Saliency Detection for Stereoscopic Images

    Yuming Fang;Junle Wang;Manish Narwaria;Patrick Le Callet

  • Band Representation-Based Semi-Supervised Low-Light Image Enhancement: Bridging the Gap Between Signal Fidelity and Perceptual Quality

    Wenhan Yang;Shiqi Wang;Yuming Fang;Yue Wang

  • Bottom-Up Saliency Detection Model Based on Human Visual Sensitivity and Amplitude Spectrum

    Yuming Fang;Weisi Lin;Bu-Sung Lee;Chiew-Tong Lau

  • Deep Guided Learning for Fast Multi-Exposure Image Fusion

    Kede Ma;Zhengfang Duanmu;Hanwei Zhu;Yuming Fang

  • Weakly Supervised Video Anomaly Detection via Center-Guided Discriminative Learning

    Boyang Wan;Yuming Fang;Xue Xia;Jiajie Mei

  • No-Reference and Robust Image Sharpness Evaluation Based on Multiscale Spatial and Spectral Features

    Leida Li;Wenhan Xia;Weisi Lin;Yuming Fang

  • Data-Level Recombination and Lightweight Fusion Scheme for RGB-D Salient Object Detection

    Xuehao Wang;Shuai Li;Chenglizhao Chen;Yuming Fang

  • Objective Quality Assessment for Image Retargeting Based on Structural Similarity

    Yuming Fang;Kai Zeng;Zhou Wang;Weisi Lin

  • No Reference Quality Assessment for Screen Content Images With Both Local and Global Feature Representation

    Yuming Fang;Jiebin Yan;Leida Li;Jinjian Wu

Frequent Co-Authors

Weisi Lin
Weisi Lin Nanyang Technological University
Kede Ma
Kede Ma City University of Hong Kong
Chia-Wen Lin
Chia-Wen Lin National Tsing Hua University
Jiaying Liu
Jiaying Liu Peking University
Yuan Yuan
Yuan Yuan Huawei Technologies (China)
Shiqi Wang
Shiqi Wang City University of Hong Kong
Zhou Wang
Zhou Wang University of Waterloo
Zhenzhong Chen
Zhenzhong Chen Wuhan University
Patrick Le Callet
Patrick Le Callet University of Nantes
Jinjian Wu
Jinjian Wu Xidian University

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