World's Best Scientists 2026 revealed!
Junliang Xing

Junliang Xing

D-Index & Metrics

Computer Science

D-Index
55
Citations
23467
World Ranking
4183
National Ranking
562

Junliang Xing 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 Junliang Xing 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: 168 publications — 34th percentile

34% of scientists in this discipline score the same or lower.

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

Junliang Xing 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 Junliang Xing 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: 55 D-Index — 71st percentile

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

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

Overview

Junliang Xing is affiliated with Tsinghua University in China and specializes in computer science with a focus on computer vision and pattern recognition. Their research spans a range of topics within artificial intelligence and media technology, including advanced neural network applications and reinforcement learning in robotics.

Their work covers multiple domains such as video surveillance and tracking methods, human pose and action recognition, face recognition and analysis, remote-sensing image classification, and artificial intelligence in games.

  • Multiple object tracking: A literature review (2020, Artificial Intelligence)
  • PedHunter: Occlusion Robust Pedestrian Detector in Crowded Scenes (2020, Proceedings of the AAAI Conference on Artificial Intelligence)
  • Contrastive Context-Aware Learning for 3D High-Fidelity Mask Face Presentation Attack Detection (2022, IEEE Transactions on Information Forensics and Security)
  • Anti-UAV: A Large-Scale Benchmark for Vision-Based UAV Tracking (2021, IEEE Transactions on Multimedia)
  • Anti-UAV: A Large Multi-Modal Benchmark for UAV Tracking (2021, arXiv (Cornell University))

Xing frequently collaborates with several co-authors, which include:

  • Xuechao Zou
  • Pin Tao
  • Yuanchun Shi
  • Haobo Fu
  • Kai Li

Publications by Xing appear regularly in various well-known venues, with the most frequent being:

  • arXiv (Cornell University) - 46 publications
  • Proceedings of the AAAI Conference on Artificial Intelligence - 12 publications
  • Artificial Intelligence - 2 publications
  • IEEE Transactions on Geoscience and Remote Sensing - 2 publications
  • IET Computer Vision - 2 publications

The scientist has concentrated primarily on advancing techniques for object tracking, pedestrian detection, and anti-UAV tracking benchmarks. Their recent research also addresses the challenge of face presentation attack detection through context-aware learning.

Overall, the body of work by Junliang Xing reflects a comprehensive engagement with topics in artificial intelligence and computer vision, distributed across both theoretical and application-driven research in surveillance, robotics, and multimedia processing.

Best Publications

  • SiamRPN++: Evolution of Siamese Visual Tracking With Very Deep Networks

    Bo Li;Wei Wu;Qiang Wang;Fangyi Zhang

  • The Visual Object Tracking VOT2016 Challenge Results

    Matej Kristan;Aleš Leonardis;Jiři Matas;Michael Felsberg

  • The Visual Object Tracking VOT2017 Challenge Results

    Matej Kristan;Ales Leonardis;Jiri Matas;Michael Felsberg

  • The Visual Object Tracking VOT2015 Challenge Results

    Matej Kristan;Jiri Matas;Ale Leonardis;Michael Felsberg

  • The Visual Object Tracking VOT2013 Challenge Results

    Matej Kristan;Roman Pflugfelder;Ale Leonardis;Jiri Matas

  • An end-to-end spatio-temporal attention model for human action recognition from skeleton data

    Sijie Song;Cuiling Lan;Junliang Xing;Wenjun Zeng

  • Multiple object tracking: A literature review

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

  • Pose-Driven Deep Convolutional Model for Person Re-identification

    Chi Su;Jianing Li;Shiliang Zhang;Junliang Xing

  • Co-occurrence feature learning for skeleton based action recognition using regularized deep LSTM networks

    Wentao Zhu;Cuiling Lan;Junliang Xing;Wenjun Zeng

  • View Adaptive Recurrent Neural Networks for High Performance Human Action Recognition from Skeleton Data

    Pengfei Zhang;Cuiling Lan;Junliang Xing;Wenjun Zeng

  • Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition

    Pengfei Zhang;Cuiling Lan;Wenjun Zeng;Junliang Xing

  • Learning Attentions: Residual Attentional Siamese Network for High Performance Online Visual Tracking

    Qiang Wang;Zhu Teng;Junliang Xing;Jin Gao

  • Transfer Learning Based Visual Tracking with Gaussian Processes Regression

    Jin Gao;Haibin Ling;Weiming Hu;Junliang Xing

  • Deep Attributes Driven Multi-camera Person Re-identification

    Chi Su;Shiliang Zhang;Junliang Xing;Wen Gao

  • View Adaptive Neural Networks for High Performance Skeleton-Based Human Action Recognition

    Pengfei Zhang;Cuiling Lan;Junliang Xing;Wenjun Zeng

  • Multi-object tracking through occlusions by local tracklets filtering and global tracklets association with detection responses

    Junliang Xing;Haizhou Ai;Shihong Lao

  • DCFNet: Discriminant Correlation Filters Network for Visual Tracking

    Qiang Wang;Jin Gao;Junliang Xing;Mengdan Zhang

  • A Deep Regression Architecture with Two-Stage Re-initialization for High Performance Facial Landmark Detection

    Jiangjing Lv;Xiaohu Shao;Junliang Xing;Cheng Cheng

  • Towards Pose Invariant Face Recognition in the Wild

    Jian Zhao;Yu Cheng;Yan Xu;Lin Xiong

  • Spatio-Temporal Attention-Based LSTM Networks for 3D Action Recognition and Detection

    Sijie Song;Cuiling Lan;Junliang Xing;Wenjun Zeng

  • Robust Facial Landmark Detection via Recurrent Attentive-Refinement Networks

    Shengtao Xiao;Jiashi Feng;Junliang Xing;Hanjiang Lai

  • Multiple Object Tracking: A Literature Review

    Wenhan Luo;Junliang Xing;Anton Milan;Xiaoqin Zhang

Frequent Co-Authors

Weiming Hu
Weiming Hu Chinese Academy of Sciences
Cuiling Lan
Cuiling Lan Microsoft (United States)
Wenjun Zeng
Wenjun Zeng Microsoft (United States)
Shuicheng Yan
Shuicheng Yan National University of Singapore
Haizhou Ai
Haizhou Ai Tsinghua University
Jiashi Feng
Jiashi Feng ByteDance
Stephen J. Maybank
Stephen J. Maybank Birkbeck, University of London
Zhen Lei
Zhen Lei Chinese Academy of Sciences
Haibin Ling
Haibin Ling Westlake University
Jiaying Liu
Jiaying Liu Peking University

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