World's Best Scientists 2026 revealed!
Xianglong Liu

Xianglong Liu

D-Index & Metrics

Computer Science

D-Index
58
Citations
11403
World Ranking
3680
National Ranking
490

Xianglong 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 Xianglong 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: 226 publications — 55th percentile

55% of scientists in this discipline score the same or lower.

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

Xianglong 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 Xianglong 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: 58 D-Index — 75th percentile

75% of scientists in this discipline score the same or lower.

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

Overview

Xianglong Liu is affiliated with Beihang University in China and has a substantial research presence primarily in the field of computer science. Their work spans several subfields and specialized topics, reflecting a broad engagement with contemporary challenges in artificial intelligence and related disciplines.

Their research spans multiple subfields of study, including:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Radiology, Nuclear Medicine and Imaging
  • Signal Processing
  • Electrical and Electronic Engineering

Liu's main topics of research include:

  • Adversarial Robustness in Machine Learning
  • Advanced Neural Network Applications
  • Anomaly Detection Techniques and Applications
  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Advanced Image and Video Retrieval Techniques
  • Human Pose and Action Recognition

Their recent papers, which appear in notable peer-reviewed venues, include:

  • Binary neural networks: A survey, 2020, Pattern Recognition
  • Explainable deep learning for efficient and robust pattern recognition: A survey of recent developments, 2021, Pattern Recognition
  • Multi-Task Consistency-Preserving Adversarial Hashing for Cross-Modal Retrieval, 2020, IEEE Transactions on Image Processing
  • Spatio-Temporal Attention Networks for Action Recognition and Detection, 2020, IEEE Transactions on Multimedia
  • Towards Real-world X-ray Security Inspection: A High-Quality Benchmark And Lateral Inhibition Module For Prohibited Items Detection, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Common publication venues where Liu has frequently contributed include:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Pattern Recognition
  • International Journal of Computer Vision
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Frequent collaborators working alongside Liu include:

  • Aishan Liu
  • Haotong Qin
  • Jiakai Wang
  • Dacheng Tao
  • Yuqing Ma

Best Publications

  • Binary Neural Networks: A Survey

    Haotong Qin;Ruihao Gong;Xianglong Liu;Xiao Bai

  • Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks

    Ruihao Gong;Xianglong Liu;Shenghu Jiang;Tianxiang Li

  • Triplet-Based Deep Hashing Network for Cross-Modal Retrieval

    Cheng Deng;Zhaojia Chen;Xianglong Liu;Xinbo Gao

  • Forward and Backward Information Retention for Accurate Binary Neural Networks

    Haotong Qin;Ruihao Gong;Xianglong Liu;Mingzhu Shen

  • Pairwise relationship guided deep hashing for cross-modal retrieval

    Erkun Yang;Cheng Deng;Wei Liu;Xianglong Liu

  • Explainable deep learning for efficient and robust pattern recognition: A survey of recent developments

    Xiao Bai;Xiang Wang;Xianglong Liu;Qiang Liu

  • Deep Sketch Hashing: Fast Free-Hand Sketch-Based Image Retrieval

    Li Liu;Fumin Shen;Yuming Shen;Xianglong Liu

  • Two-Stream 3-D convNet Fusion for Action Recognition in Videos With Arbitrary Size and Length

    Xuanhan Wang;Lianli Gao;Peng Wang;Xiaoshuai Sun

  • Perceptual-Sensitive GAN for Generating Adversarial Patches.

    Aishan Liu;Xianglong Liu;Jiaxin Fan;Yuqing Ma

  • Beyond RNNs: Positional Self-Attention with Co-Attention for Video Question Answering

    Xiangpeng Li;Jingkuan Song;Lianli Gao;Xianglong Liu

  • Attention Convolutional Binary Neural Tree for Fine-Grained Visual Categorization

    Ruyi Ji;Longyin Wen;Libo Zhang;Dawei Du

  • Occluded Prohibited Items Detection: An X-ray Security Inspection Benchmark and De-occlusion Attention Module

    Yanlu Wei;Renshuai Tao;Zhangjie Wu;Yuqing Ma

  • Mobile product search with Bag of Hash Bits and boundary reranking

    Junfeng He;Jinyuan Feng;Xianglong Liu;Tao Cheng

  • Orthogonal Weight Normalization: Solution to Optimization Over Multiple Dependent Stiefel Manifolds in Deep Neural Networks.

    Lei Huang;Xianglong Liu;Bo Lang;Adams Wei Yu

  • Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World

    Jiakai Wang;Aishan Liu;Zixin Yin;Shunchang Liu

  • Active Transfer Learning Network: A Unified Deep Joint Spectral–Spatial Feature Learning Model for Hyperspectral Image Classification

    Cheng Deng;Yumeng Xue;Xianglong Liu;Chao Li

  • Multi-Task Consistency-Preserving Adversarial Hashing for Cross-Modal Retrieval

    De Xie;Cheng Deng;Chao Li;Xianglong Liu

  • Towards Unified INT8 Training for Convolutional Neural Network

    Feng Zhu;Ruihao Gong;Fengwei Yu;Xianglong Liu

  • Active multi-kernel domain adaptation for hyperspectral image classification

    Cheng Deng;Xianglong Liu;Chao Li;Dacheng Tao

  • Spatio-Temporal Attention Networks for Action Recognition and Detection

    Jun Li;Xianglong Liu;Wenxuan Zhang;Mingyuan Zhang

  • Collaborative Hashing

    Xianglong Liu;Junfeng He;Cheng Deng;Bo Lang

Frequent Co-Authors

Cheng Deng
Cheng Deng Xidian University
Dacheng Tao
Dacheng Tao Nanyang Technological University
Jingkuan Song
Jingkuan Song Columbia University
Yadong Mu
Yadong Mu Peking University
Lianli Gao
Lianli Gao University of Electronic Science and Technology of China
Heng Tao Shen
Heng Tao Shen University of Electronic Science and Technology of China
Edwin R. Hancock
Edwin R. Hancock University of York
Jun Zhou
Jun Zhou Griffith University
Junjie Yan
Junjie Yan SenseTime
Shih-Fu Chang
Shih-Fu Chang Columbia University

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