World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
64
Citations
16349
World Ranking
2602
National Ranking
352

Qi 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 Qi 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: 301 publications — 74th percentile

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

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

Qi 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 Qi 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: 64 D-Index — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Overview

Qi Wang is affiliated with Northwestern Polytechnical University in China. Their research contributions span across computer science and engineering, focusing specifically on subfields such as computer vision and pattern recognition, artificial intelligence, media technology, aerospace engineering, and biomedical engineering.

The scientist's work encompasses a variety of topics related to image analysis, machine learning, and multimedia processing. Key research areas include video surveillance and tracking methods, remote-sensing image classification, advanced image and video retrieval techniques, advanced neural network applications, anomaly detection techniques and applications, advanced image fusion techniques, and human pose and action recognition.

Qi Wang has authored numerous papers published in a range of reputable venues. Their recent notable publications include:

  • A Comprehensive Survey of Loss Functions in Machine Learning, 2020, Annals of Data Science
  • NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting and Localization, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Current Advances and Future Perspectives of Additive Manufacturing for Functional Polymeric Materials and Devices, 2021, SusMat
  • ABNet: Adaptive Balanced Network for Multiscale Object Detection in Remote Sensing Imagery, 2021, IEEE Transactions on Geoscience and Remote Sensing
  • SSR-NET: Spatial-Spectral Reconstruction Network for Hyperspectral and Multispectral Image Fusion, 2020, IEEE Transactions on Geoscience and Remote Sensing

The scientist frequently collaborates with other researchers, with regular coauthors including:

  • Junyu Gao (44 publications)
  • Xuelong Li (42 publications)
  • Qiang Li (40 publications)
  • Yuan Yuan (37 publications)
  • Mulin Chen (19 publications)

Qi Wang's research has been published extensively in several outlets, highlighting a strong presence in geoscience and multimedia fields. Frequent publication venues include:

  • arXiv (Cornell University) with 66 publications
  • IEEE Transactions on Geoscience and Remote Sensing with 64 publications
  • IEEE Geoscience and Remote Sensing Letters with 12 publications
  • IEEE Transactions on Multimedia with 10 publications
  • IEEE Transactions on Neural Networks and Learning Systems with 9 publications

Best Publications

  • A Comprehensive Survey of Loss Functions in Machine Learning

    Qi Wang;Yue Ma;Kun Zhao;Yingjie Tian

  • Scene Classification With Recurrent Attention of VHR Remote Sensing Images

    Qi Wang;Shaoteng Liu;Jocelyn Chanussot;Xuelong Li

  • Learning From Synthetic Data for Crowd Counting in the Wild

    Qi Wang;Junyu Gao;Wei Lin;Yuan Yuan

  • Salient Band Selection for Hyperspectral Image Classification via Manifold Ranking

    Qi Wang;Jianzhe Lin;Yuan Yuan

  • GETNET: A General End-to-end Two-dimensional CNN Framework for Hyperspectral Image Change Detection.

    Qi Wang;Zhenghang Yuan;Qian Du;Xuelong Li

  • GETNET: A General End-to-End 2-D CNN Framework for Hyperspectral Image Change Detection

    Qi Wang;Zhenghang Yuan;Qian Du;Xuelong Li

  • NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting and Localization

    Qi Wang;Junyu Gao;Wei Lin;Xuelong Li

  • Optimal Clustering Framework for Hyperspectral Band Selection

    Qi Wang;Fahong Zhang;Xuelong Li

  • Detecting Coherent Groups in Crowd Scenes by Multiview Clustering

    Qi Wang;Mulin Chen;Feiping Nie;Xuelong Li

  • Embedding Structured Contour and Location Prior in Siamesed Fully Convolutional Networks for Road Detection

    Qi Wang;Junyu Gao;Yuan Yuan

  • PCC Net: Perspective Crowd Counting via Spatial Convolutional Network

    Junyu Gao;Qi Wang;Xuelong Li

  • SSR-NET: Spatial–Spectral Reconstruction Network for Hyperspectral and Multispectral Image Fusion

    Xueting Zhang;Wei Huang;Qi Wang;Xuelong Li

  • An Incremental Framework for Video-Based Traffic Sign Detection, Tracking, and Recognition

    Yuan Yuan;Zhitong Xiong;Qi Wang

  • Online Anomaly Detection in Crowd Scenes via Structure Analysis

    Yuan Yuan;Jianwu Fang;Qi Wang

  • SCAR: Spatial-/channel-wise attention regression networks for crowd counting

    Junyu Gao;Qi Wang;Yuan Yuan

  • Embedding structured contour and location prior in siamesed fully convolutional networks for road detection

    Junyu Gao;Qi Wang;Yuan Yuan

  • Locality and Structure Regularized Low Rank Representation for Hyperspectral Image Classification

    Qi Wang;Xiang He;Xuelong Li

  • Hyperspectral Image Classification via Multitask Joint Sparse Representation and Stepwise MRF Optimization

    Yuan Yuan;Jianzhe Lin;Qi Wang

  • Weakly Supervised Adversarial Domain Adaptation for Semantic Segmentation in Urban Scenes

    Qi Wang;Junyu Gao;Xuelong Li

  • Dual-Clustering-Based Hyperspectral Band Selection by Contextual Analysis

    Yuan Yuan;Jianzhe Lin;Qi Wang

  • NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting.

    Qi Wang;Junyu Gao;Wei Lin;Xuelong Li

Frequent Co-Authors

Yuan Yuan
Yuan Yuan Huawei Technologies (China)
Xuelong Li
Xuelong Li China Telecom (China)
Shiping Wang
Shiping Wang Chinese Academy of Sciences
Feiping Nie
Feiping Nie Northwestern Polytechnical University
Yanfen Wang
Yanfen Wang Chinese Academy of Sciences
Pingkun Yan
Pingkun Yan Rensselaer Polytechnic Institute
Yingjie Tian
Yingjie Tian University of Chinese Academy of Sciences
Xinquan Zhao
Xinquan Zhao Chinese Academy of Sciences
Qian Du
Qian Du Mississippi State University
Josep Peñuelas
Josep Peñuelas Centre for Ecological Research and Forestry Applications (CREAF), CSIC

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