World's Best Scientists 2026 revealed!
Xiao Liu

Xiao Liu

D-Index & Metrics

Computer Science

D-Index
34
Citations
6416
World Ranking
12014
National Ranking
1485

Xiao 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 Xiao 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: 67 publications — 1st percentile

1% of scientists in this discipline score the same or lower.

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

Xiao 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 Xiao 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: 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

Xiao Liu is affiliated with Baidu in China and has contributed research primarily in the field of Engineering, with a focus on several subfields including Electrical and Electronic Engineering, Artificial Intelligence, Control and Systems Engineering, Automotive Engineering, and Mechanical Engineering.

The scientist's recent publications cover a range of topics within these areas. Notable papers include the 2023 article "AlGaN/GaN-Based Optoelectronic Synaptic Devices for Neuromorphic Computing" published in Advanced Optical Materials; the 2024 study "Optimization of multidimensional feature engineering and data partitioning strategies in heart disease prediction models" in Alexandria Engineering Journal; the 2020 paper "A New Method for Interindustry Linkage Analysis Based on Demand-Driven and Multisector Input-Output Model and Its Application in China's Manufacturing and Producer Services" in Complexity; "An optimal trajectory planning for automated on-ramp merging" (2022) in IET Intelligent Transport Systems; and the 2024 preprint "YouTube Video Analytics for Patient Engagement: Evidence from Colonoscopy Preparation Videos" on arXiv (Cornell University).

Xiao Liu's main topics of research include:

  • Advanced Memory and Neural Computing
  • Neural Networks and Reservoir Computing
  • Photoreceptor and Optogenetics Research
  • Artificial Intelligence in Healthcare
  • Machine Learning in Healthcare
  • Traffic Control and Management
  • Vehicle Emissions and Performance

Frequent co-authors in Xiao Liu's work include Cuihong Kai, Yue Wang, Xiaoping Liu, Xuqing Zhang, and Xiaodong Pi.

Publications by Xiao Liu have appeared predominantly in:

  • arXiv (Cornell University)
  • Advanced Optical Materials
  • Alexandria Engineering Journal
  • IET Intelligent Transport Systems
  • Complexity

Best Publications

  • BMN: Boundary-Matching Network for Temporal Action Proposal Generation

    Tianwei Lin;Xiao Liu;Xin Li;Errui Ding

  • Deep Metric Learning with Angular Loss

    Jian Wang;Feng Zhou;Shilei Wen;Xiao Liu

  • Deep Speaker: an End-to-End Neural Speaker Embedding System

    Chao Li;Xiaokong Ma;Bing Jiang;Xiangang Li

  • STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing

    Ming Liu;Yukang Ding;Min Xia;Xiao Liu

  • Kernel Pooling for Convolutional Neural Networks

    Yin Cui;Feng Zhou;Jiang Wang;Xiao Liu

  • Image Inpainting With Learnable Bidirectional Attention Maps

    Chaohao Xie;Shaohui Liu;Chao Li;Ming-Ming Cheng

  • Semi-supervised Coupled Dictionary Learning for Person Re-identification

    Xiao Liu;Mingli Song;Dacheng Tao;Xingchen Zhou

  • Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification

    Xiang Long;Chuang Gan;Gerard de Melo;Jiajun Wu

  • Convolutional recurrent neural networks: Learning spatial dependencies for image representation

    Zhen Zuo;Bing Shuai;Gang Wang;Xiao Liu

  • Probabilistic Graphlet Transfer for Photo Cropping

    Luming Zhang;Mingli Song;Qi Zhao;Xiao Liu

  • Dynamic Instance Normalization for Arbitrary Style Transfer

    Yongcheng Jing;Xiao Liu;Yukang Ding;Xinchao Wang

  • Probabilistic Graphlet Cut: Exploiting Spatial Structure Cue for Weakly Supervised Image Segmentation

    Luming Zhang;Mingli Song;Zicheng Liu;Xiao Liu

  • Read, Watch, and Move: Reinforcement Learning for Temporally Grounding Natural Language Descriptions in Videos

    Dongliang He;Xiang Zhao;Jizhou Huang;Fu Li

  • Fully Convolutional Attention Networks for Fine-Grained Recognition

    Xiao Liu;Tian Xia;Jiang Wang;Yi Yang

  • StNet: Local and Global Spatial-Temporal Modeling for Action Recognition

    Dongliang He;Zhichao Zhou;Chuang Gan;Fu Li

  • Image Inpainting by End-to-End Cascaded Refinement With Mask Awareness

    Manyu Zhu;Dongliang He;Xin Li;Chao Li

  • Multimodal Keyless Attention Fusion for Video Classification

    Xiang Long;Chuang Gan;Gerard de Melo;Xiao Liu

  • Dynamic Computational Time for Visual Attention

    Zhichao Li;Yi Yang;Xiao Liu;Feng Zhou

  • Fully Convolutional Attention Localization Networks: Efficient Attention Localization for Fine-Grained Recognition

    Xiao Liu;Tian Xia;Jiang Wang;Yuanqing Lin

  • Learning Contextual Dependence With Convolutional Hierarchical Recurrent Neural Networks

    Zhen Zuo;Bing Shuai;Gang Wang;Xiao Liu

  • NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results

    Jianrui Cai;Shuhang Gu;Radu Timofte;Lei Zhang

Frequent Co-Authors

Wen Shilei
Wen Shilei Baidu (China)
Errui Ding
Errui Ding Baidu (China)
Mingli Song
Mingli Song Zhejiang University
Chun Chen
Chun Chen Zhejiang University
Jiajun Bu
Jiajun Bu Zhejiang University
Dacheng Tao
Dacheng Tao Nanyang Technological University
Feng Zhou
Feng Zhou University of Michigan–Ann Arbor
Chuang Gan
Chuang Gan University of Massachusetts Amherst
Yuanqing Lin
Yuanqing Lin Aibee Inc.
Wangmeng Zuo
Wangmeng Zuo Harbin Institute of Technology

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