World's Best Scientists 2026 revealed!
Nannan Wang

Nannan Wang

D-Index & Metrics

Computer Science

D-Index
54
Citations
9886
World Ranking
4634
National Ranking
620

Nannan Wang 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 Nannan Wang 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: 285 publications — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Nannan Wang 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 Nannan Wang 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: 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

Nannan Wang is affiliated with Xidian University in China and has contributed extensively to the field of computer science, with a particular focus on computer vision and pattern recognition. Their research spans multiple subfields including artificial intelligence, media technology, signal processing, and aerospace engineering.

The scientist's main research topics include:

  • Face recognition and analysis
  • Generative adversarial networks and image synthesis
  • Video surveillance and tracking methods
  • Advanced image processing techniques
  • Adversarial robustness in machine learning
  • Anomaly detection techniques and applications
  • Human pose and action recognition

Among notable recent papers are:

  • "A CenterNet++ model for ship detection in SAR images", 2020, Pattern Recognition
  • "Adaptively Learning Facial Expression Representation via C-F Labels and Distillation", 2021, IEEE Transactions on Image Processing
  • "Spatiotemporal consistency-enhanced network for video anomaly detection", 2021, Pattern Recognition
  • "A Robust One-Stage Detector for Multiscale Ship Detection With Complex Background in Massive SAR Images", 2021, IEEE Transactions on Geoscience and Remote Sensing
  • "Flexible Body Partition-Based Adversarial Learning for Visible Infrared Person Re-Identification", 2021, IEEE Transactions on Neural Networks and Learning Systems

Frequent coauthors in Wang's research include:

  • Xinbo Gao
  • Decheng Liu
  • Xi Yang
  • Chunlei Peng
  • Tongliang Liu

Wang's work is frequently published in the following venues:

  • arXiv (Cornell University)
  • IEEE Transactions on Image Processing
  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Transactions on Information Forensics and Security
  • IEEE Transactions on Multimedia

The scientist's extensive publication record includes over 540 works primarily in computer science, with 365 publications related to computer vision and pattern recognition, evidencing a sustained focus in this area over time.

Best Publications

  • A Comprehensive Survey to Face Hallucination

    Nannan Wang;Dacheng Tao;Xinbo Gao;Xuelong Li

  • Facial feature point detection: A comprehensive survey

    Nannan Wang;Xinbo Gao;Dacheng Tao;Heng Yang

  • HSME: Hypersphere Manifold Embedding for Visible Thermal Person Re-Identification

    Yi Hao;Nannan Wang;Jie Li;Xinbo Gao

  • Face Sketch–Photo Synthesis and Retrieval Using Sparse Representation

    Xinbo Gao;Nannan Wang;Dacheng Tao;Xuelong Li

  • Review: Connected dominating sets in wireless ad hoc and sensor networks - A comprehensive survey

    Jiguo Yu;Nannan Wang;Guanghui Wang;Dongxiao Yu

  • Adaptively Learning Facial Expression Representation via C-F Labels and Distillation

    Hangyu Li;Nannan Wang;Xinpeng Ding;Xi Yang

  • Are Anchor Points Really Indispensable in Label-Noise Learning?

    Xiaobo Xia;Tongliang Liu;Nannan Wang;Bo Han

  • Waste tire recycling assessment: Road application potential and carbon emissions reduction analysis of crumb rubber modified asphalt in China

    Qing-Zhou Wang;Nan-Nan Wang;Ming-Lang Tseng;Ming-Lang Tseng;Yu-Man Huang

  • A CenterNet++ model for ship detection in SAR images

    Haoyuan Guo;Xi Yang;Nannan Wang;Xinbo Gao;Xinbo Gao

  • Transductive Face Sketch-Photo Synthesis

    Nannan Wang;Dacheng Tao;Xinbo Gao;Xuelong Li

  • Syncretic Modality Collaborative Learning for Visible Infrared Person Re-Identification

    Ziyu Wei;Xi Yang;Nannan Wang;Xinbo Gao

  • Bayesian Face Sketch Synthesis

    Nannan Wang;Xinbo Gao;Leiyu Sun;Jie Li

  • Random sampling for fast face sketch synthesis

    Nannan Wang;Xinbo Gao;Jie Li

  • Graphical Representation for Heterogeneous Face Recognition

    Chunlei Peng;Xinbo Gao;Nannan Wang;Jie Li

  • Spatiotemporal consistency-enhanced network for video anomaly detection

    Yi Hao;Jie Li;Nannan Wang;Xiaoyu Wang

  • Part-dependent Label Noise: Towards Instance-dependent Label Noise

    Xiaobo Xia;Tongliang Liu;Bo Han;Nannan Wang

  • Towards Semi-Supervised Deep Facial Expression Recognition with An Adaptive Confidence Margin

    Unknown

  • Multiple Representations-Based Face Sketch–Photo Synthesis

    Chunlei Peng;Xinbo Gao;Nannan Wang;Dacheng Tao

  • Robust early-learning: Hindering the memorization of noisy labels

    Xiaobo Xia;Tongliang Liu;Bo Han;Chen Gong

  • Whole Life Project Management Approach to Sustainability

    Nannan Wang;Kangning Wei;Hua Sun

  • Lifecycle assessment for sustainable design options of a commercial building in Shanghai

    Nannan Wang;Yen-Chiang Chang;Chris Nunn

  • Face Sketch Synthesis via Sparse Representation-Based Greedy Search

    Shengchuan Zhang;Xinbo Gao;Nannan Wang;Jie Li

Frequent Co-Authors

Xinbo Gao
Xinbo Gao Xidian University
Jie Li
Jie Li Shanghai Jiao Tong University
Tongliang Liu
Tongliang Liu University of Sydney
Dacheng Tao
Dacheng Tao Nanyang Technological University
Xuelong Li
Xuelong Li China Telecom (China)
Zhifeng Li
Zhifeng Li Tencent (China)
Yiu-ming Cheung
Yiu-ming Cheung Hong Kong Baptist University
Jun Yu
Jun Yu Hangzhou Dianzi University
Yi Yu
Yi Yu Hiroshima University

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