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Computer Science
China
2026

D-Index & Metrics

Computer Science

D-Index
105
Citations
45049
World Ranking
288
National Ranking
35

Wei Liu 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 Wei Liu 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: 428 publications — 89th percentile

89% of scientists in this discipline score the same or lower.

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

Wei Liu 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 Wei Liu 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: 105 D-Index — 98th percentile

98% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2026 - Research.com Computer Science in China Leader Award
  • 2025 - Research.com Computer Science in China Leader Award
  • 2023 - Research.com Computer Science in China Leader Award
  • 2022 - Research.com Computer Science in China Leader Award
  • 2020 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to machine learning, computer vision, and remote sensing

Overview

Wei Liu is a researcher primarily affiliated with Tencent (China) where the focus spans multiple disciplines in computer science and engineering. The researcher's work centers on computer vision and pattern recognition, artificial intelligence, aerospace engineering, biomedical engineering, and computational mechanics, reflecting a broad engagement with both theoretical and applied aspects of these fields.

The main fields of study covered by Wei Liu include:

  • Computer Science
  • Engineering

Within these broader categories, the subfields of study show a concentration in:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Aerospace Engineering
  • Biomedical Engineering
  • Computational Mechanics

Wei Liu's publications address several core topics, including:

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

The frequent publication venues where Wei Liu's research has appeared include:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Applied Sciences

Selected recent papers reflect diverse research contributions in computer vision and machine learning. These include:

  • Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance Segmentation, 2021, IEEE Transactions on Cybernetics
  • Beyond Brightening Low-light Images, 2021, International Journal of Computer Vision
  • Multiple object tracking: A literature review, 2020, Artificial Intelligence
  • CrossFormer++: A Versatile Vision Transformer Hinging on Cross-Scale Attention, 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Semantic Conditioned Dynamic Modulation for Temporal Sentence Grounding in Videos, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence

Frequent co-authors include:

  • Zhifeng Li
  • Wenhan Luo
  • Kaihao Zhang
  • Hongfa Wang
  • Tianming Liu

Wei Liu was recognized as a Fellow of the International Association for Pattern Recognition (IAPR) in 2020 for contributions to machine learning, computer vision, and remote sensing.

Best Publications

  • CosFace: Large Margin Cosine Loss for Deep Face Recognition

    Hao Wang;Yitong Wang;Zheng Zhou;Xing Ji

  • SCA-CNN: Spatial and Channel-Wise Attention in Convolutional Networks for Image Captioning

    Long Chen;Hanwang Zhang;Jun Xiao;Liqiang Nie

  • Supervised hashing with kernels

    Wei Liu;Jun Wang;Rongrong Ji;Yu-Gang Jiang

  • Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images

    Nanyang Wang;Yinda Zhang;Zhuwen Li;Yanwei Fu

  • Supervised Discrete Hashing

    Fumin Shen;Chunhua Shen;Wei Liu;Heng Tao Shen

  • Hashing with Graphs

    Wei Liu;Jun Wang;Sanjiv Kumar;Shih-fu Chang

  • Tensor Robust Principal Component Analysis with a New Tensor Nuclear Norm

    Canyi Lu;Jiashi Feng;Yudong Chen;Wei Liu

  • Multiple object tracking: A literature review

    Wenhan Luo;Wenhan Luo;Junliang Xing;Anton Milan;Xiaoqin Zhang

  • Gated Fusion Network for Single Image Dehazing

    Wenqi Ren;Lin Ma;Jiawei Zhang;Jinshan Pan

  • Attentive Collaborative Filtering: Multimedia Recommendation with Item- and Component-Level Attention

    Jingyuan Chen;Hanwang Zhang;Xiangnan He;Liqiang Nie

  • Beyond Brightening Low-light Images

    Yonghua Zhang;Xiaojie Guo;Jiayi Ma;Wei Liu

  • Large Graph Construction for Scalable Semi-Supervised Learning

    Wei Liu;Junfeng He;Shih-fu Chang

  • Learning to Hash for Indexing Big Data—A Survey

    Jun Wang;Wei Liu;Sanjiv Kumar;Shih-Fu Chang

  • Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization

    Canyi Lu;Jiashi Feng;Yudong Chen;Wei Liu

  • Bi-Real Net: Enhancing the Performance of 1-Bit CNNs with Improved Representational Capability and Advanced Training Algorithm

    Zechun Liu;Baoyuan Wu;Wenhan Luo;Xin Yang

  • Learning to Compose Dynamic Tree Structures for Visual Contexts

    Kaihua Tang;Hanwang Zhang;Baoyuan Wu;Wenhan Luo

  • Discrete Graph Hashing

    Wei Liu;Cun Mu;Sanjiv Kumar;Shih-Fu Chang

  • Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval

    Chao Li;Cheng Deng;Ning Li;Wei Liu

  • Generalizing Face Forgery Detection with High-frequency Features

    Yuchen Luo;Yong Zhang;Junchi Yan;Wei Liu

  • Efficient Decision-Based Black-Box Adversarial Attacks on Face Recognition

    Yinpeng Dong;Hang Su;Baoyuan Wu;Zhifeng Li

  • Learning Distance Metrics with Contextual Constraints for Image Retrieval

    S.C.H. Hoi;Wei Liu;M.R. Lyu;Wei-Ying Ma

Frequent Co-Authors

Zhidong Zhang
Zhidong Zhang Chinese Academy of Sciences
Dacheng Tao
Dacheng Tao Nanyang Technological University
Shih-Fu Chang
Shih-Fu Chang Columbia University
Tong Zhang
Tong Zhang University of Illinois at Urbana-Champaign
Cheng Deng
Cheng Deng Xidian University
Yu-Gang Jiang
Yu-Gang Jiang Fudan University
Rongrong Ji
Rongrong Ji Xiamen University
Wenhan Luo
Wenhan Luo Hong Kong University of Science and Technology
Zhifeng Li
Zhifeng Li Tencent (China)
Jiebo Luo
Jiebo Luo University of Rochester

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