World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
4065
World Ranking
12282
National Ranking
1514

Fanman Meng 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 Fanman Meng 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: 194 publications — 44th percentile

44% of scientists in this discipline score the same or lower.

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

Fanman Meng 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 Fanman Meng 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: 34 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Overview

Fanman Meng is affiliated with the University of Electronic Science and Technology of China. Their research primarily spans the field of Computer Science, with a strong focus on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Radiology, Nuclear Medicine and Imaging, and Aerospace Engineering.

The scientist's work covers several topics related to machine learning and image processing, including:

  • Domain Adaptation and Few-Shot Learning
  • Advanced Image and Video Retrieval Techniques
  • Advanced Neural Network Applications
  • Multimodal Machine Learning Applications
  • Human Pose and Action Recognition
  • Image Enhancement Techniques
  • Advanced Image Processing Techniques

Fanman Meng has contributed to numerous research papers published in notable venues. Examples of recent publications include:

  • Subjective and Objective De-Raining Quality Assessment Towards Authentic Rain Image, 2020, IEEE Transactions on Circuits and Systems for Video Technology
  • Hierarchical Context Features Embedding for Object Detection, 2020, IEEE Transactions on Multimedia
  • A Symmetric Fully Convolutional Residual Network with DCRF for Accurate Tooth Segmentation, 2020, IEEE Access
  • Segmenting Beyond the Bounding Box for Instance Segmentation, 2021, IEEE Transactions on Circuits and Systems for Video Technology
  • An Efficient and Compact 3D Local Descriptor Based on the Weighted Height Image, 2020, Information Sciences

These papers vary in focus but notably include themes of image segmentation, object detection, and image enhancement techniques, evidencing consistent research activity in visual computing domains.

The scientist frequently publishes in several venues, such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Transactions on Multimedia
  • Neurocomputing
  • Expert Systems with Applications

Notable frequent collaborators associated with their research include Qingbo Wu, Hongliang Li, Linfeng Xu, Heqian Qiu, and King Ngi Ngan. These coauthors have contributed alongside Fanman Meng to produce a significant number of publications in related areas.

Best Publications

  • Beyond pixels: A comprehensive survey from bottom-up to semantic image segmentation and cosegmentation

    Hongyuan Zhu;Fanman Meng;Jianfei Cai;Shijian Lu

  • A Fast HEVC Inter CU Selection Method Based on Pyramid Motion Divergence

    Jian Xiong;Hongliang Li;Qingbo Wu;Fanman Meng

  • VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Results.

    Dawei Du;Longyin Wen;Pengfei Zhu;Heng Fan

  • Key-Word-Aware Network for Referring Expression Image Segmentation

    Hengcan Shi;Hongliang Li;Fanman Meng;Qingbo Wu

  • Object Co-Segmentation Based on Shortest Path Algorithm and Saliency Model

    Fanman Meng;Hongliang Li;Guanghui Liu;King Ngi Ngan

  • Blind Image Quality Assessment Based on Multichannel Feature Fusion and Label Transfer

    Qingbo Wu;Hongliang Li;Fanman Meng;King N. Ngan

  • LETRIST: Locally Encoded Transform Feature Histogram for Rotation-Invariant Texture Classification

    Tiecheng Song;Hongliang Li;Fanman Meng;Qingbo Wu

  • Co-Salient Object Detection From Multiple Images

    Hongliang Li;Fanman Meng;King Ngi Ngan

  • Noise-Robust Texture Description Using Local Contrast Patterns via Global Measures

    Tiecheng Song;Hongliang Li;Fanman Meng;Qingbo Wu

  • Fast HEVC Inter CU Decision Based on Latent SAD Estimation

    Jian Xiong;Hongliang Li;Fanman Meng;Qingbo Wu

  • MRF-Based Fast HEVC Inter CU Decision With the Variance of Absolute Differences

    Jian Xiong;Hongliang Li;Fanman Meng;Shuyuan Zhu

  • A2RMNet: Adaptively Aspect Ratio Multi-Scale Network for object detection in remote sensing images

    Heqian Qiu;Hongliang Li;Qingbo Wu;Fanman Meng

  • Subjective and Objective De-Raining Quality Assessment Towards Authentic Rain Image

    Qingbo Wu;Lei Wang;King Ngi Ngan;Hongliang Li

  • Image Cosegmentation by Incorporating Color Reward Strategy and Active Contour Model

    Fanman Meng;Hongliang Li;Guanghui Liu;King Ngi Ngan

  • A Perceptually Weighted Rank Correlation Indicator for Objective Image Quality Assessment

    Qingbo Wu;Hongliang Li;Fanman Meng;King N. Ngan

  • Blind Image Quality Assessment Based on Rank-Order Regularized Regression

    Qingbo Wu;Hongliang Li;Zhou Wang;Fanman Meng

  • Hierarchical Context Features Embedding for Object Detection

    Heqian Qiu;Hongliang Li;Qingbo Wu;Fanman Meng

  • HeadNet: An End-to-End Adaptive Relational Network for Head Detection

    Wei Li;Hongliang Li;Qingbo Wu;Fanman Meng

  • Global and local semantics-preserving based deep hashing for cross-modal retrieval

    Lei Ma;Hongliang Li;Fanman Meng;Qingbo Wu

  • Weakly Supervised Semantic Segmentation by a Class-Level Multiple Group Cosegmentation and Foreground Fusion Strategy

    Fanman Meng;Kunming Luo;Hongliang Li;Qingbo Wu

  • No reference image quality assessment metric via multi-domain structural information and piecewise regression

    Qingbo Wu;Hongliang Li;Fanman Meng;King Ngi Ngan

  • Unsupervised Multiclass Region Cosegmentation via Ensemble Clustering and Energy Minimization

    Hongliang Li;Fanman Meng;Qingbo Wu;Bing Luo

  • Automatic image co-segmentation using geometric mean saliency

    Koteswar Rao Jernpothula;Jianfei Cai;Fanman Meng;Junsong Yuan

Frequent Co-Authors

Hongliang Li
Hongliang Li University of Electronic Science and Technology of China
King Ngi Ngan
King Ngi Ngan University of Electronic Science and Technology of China
Jianfei Cai
Jianfei Cai Monash University
Bing Zeng
Bing Zeng University of Electronic Science and Technology of China
Shuaicheng Liu
Shuaicheng Liu University of Electronic Science and Technology of China
Shijian Lu
Shijian Lu Nanyang Technological University
Moncef Gabbouj
Moncef Gabbouj Tampere University
Guan Gui
Guan Gui Nanjing University of Posts and Telecommunications
Dawei Du
Dawei Du ByteDance
Longyin Wen
Longyin Wen ByteDance

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