World's Best Scientists 2026 revealed!
Jiaying Liu

Jiaying Liu

D-Index & Metrics

Computer Science

D-Index
66
Citations
18926
World Ranking
2310
National Ranking
316

Jiaying 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 Jiaying 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: 257 publications — 64th percentile

64% of scientists in this discipline score the same or lower.

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

Jiaying 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 Jiaying 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: 66 D-Index — 84th percentile

84% of scientists in this discipline score the same or lower.

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

Overview

Jiaying Liu is a researcher affiliated with Peking University in China, specializing in areas within computer science and engineering. Their work primarily focuses on advanced image processing and computer vision techniques, with extensive contributions to both theoretical and applied research domains.

The main fields of study for Jiaying Liu include:

  • Computer Science
  • Engineering

Their research interests extend to specialized subfields such as:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Biomedical Engineering
  • Materials Chemistry

The topics frequently covered in their publications encompass:

  • Advanced Image Processing Techniques
  • Image Enhancement Techniques
  • Advanced Vision and Imaging
  • Generative Adversarial Networks and Image Synthesis
  • Human Pose and Action Recognition
  • Image and Signal Denoising Methods
  • Anomaly Detection Techniques and Applications

Jiaying Liu has published extensively across several well-known venues, reflecting a focus on computer vision and pattern recognition research. Frequent publication venues include:

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

Their recent notable papers include:

  • "Sparse Gradient Regularized Deep Retinex Network for Robust Low-Light Image Enhancement", 2021, IEEE Transactions on Image Processing
  • "LR3M: Robust Low-Light Enhancement via Low-Rank Regularized Retinex Model", 2020, IEEE Transactions on Image Processing
  • "Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study", 2020, IEEE Transactions on Image Processing
  • "Single Image Deraining: From Model-Based to Data-Driven and Beyond", 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Benchmarking Low-Light Image Enhancement and Beyond", 2021, International Journal of Computer Vision

Liu has collaborated frequently with coauthors including:

  • Wenhan Yang
  • Lilang Lin
  • Wenjing Wang
  • Yueyu Hu
  • Jiahang Zhang

Best Publications

  • Deep Joint Rain Detection and Removal from a Single Image

    Wenhan Yang;Robby T. Tan;Jiashi Feng;Jiaying Liu

  • Structure-Revealing Low-Light Image Enhancement Via Robust Retinex Model

    Mading Li;Jiaying Liu;Wenhan Yang;Xiaoyan Sun

  • Deep Retinex Decomposition for Low-Light Enhancement

    Chen Wei;Wenjing Wang;Wenhan Yang;Jiaying Liu

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

    Sijie Song;Cuiling Lan;Junliang Xing;Wenjun Zeng

  • Attentive Generative Adversarial Network for Raindrop Removal from A Single Image

    Rui Qian;Robby T. Tan;Wenhan Yang;Jiajun Su

  • Sparse Gradient Regularized Deep Retinex Network for Robust Low-Light Image Enhancement

    Wenhan Yang;Wenjing Wang;Haofeng Huang;Shiqi Wang

  • Demystifying Neural Style Transfer

    Yanghao Li;Naiyan Wang;Jiaying Liu;Xiaodi Hou

  • From Fidelity to Perceptual Quality: A Semi-Supervised Approach for Low-Light Image Enhancement

    Wenhan Yang;Shiqi Wang;Yuming Fang;Yue Wang

  • Adaptive Batch Normalization for practical domain adaptation

    Yanghao Li;Naiyan Wang;Jianping Shi;Xiaodi Hou

  • Revisiting Batch Normalization For Practical Domain Adaptation

    Yanghao Li;Naiyan Wang;Jianping Shi;Jiaying Liu

  • Joint Rain Detection and Removal from a Single Image with Contextualized Deep Networks

    Wenhan Yang;Robby T. Tan;Jiashi Feng;Zongming Guo

  • LR3M: Robust Low-Light Enhancement via Low-Rank Regularized Retinex Model

    Xutong Ren;Wenhan Yang;Wen-Huang Cheng;Jiaying Liu

  • Deep Edge Guided Recurrent Residual Learning for Image Super-Resolution

    Wenhan Yang;Jiashi Feng;Jianchao Yang;Fang Zhao

  • GLADNet: Low-Light Enhancement Network with Global Awareness

    Wenjing Wang;Chen Wei;Wenhan Yang;Jiaying Liu

  • Single Image Deraining: From Model-Based to Data-Driven and Beyond

    Wenhan Yang;Robby T. Tan;Shiqi Wang;Yuming Fang

  • Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study

    Wenhan Yang;Ye Yuan;Wenqi Ren;Jiaying Liu

  • Benchmarking Low-Light Image Enhancement and Beyond

    Jiaying Liu;Dejia Xu;Wenhan Yang;Minhao Fan

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

    Sijie Song;Cuiling Lan;Junliang Xing;Wenjun Zeng

  • Joint Enhancement and Denoising Method via Sequential Decomposition

    Xutong Ren;Mading Li;Wen-Huang Cheng;Jiaying Liu

  • Video Coding for Machines: A Paradigm of Collaborative Compression and Intelligent Analytics

    Lingyu Duan;Jiaying Liu;Wenhan Yang;Tiejun Huang

  • Online Human Action Detection Using Joint Classification-Regression Recurrent Neural Networks

    Yanghao Li;Cuiling Lan;Junliang Xing;Wenjun Zeng

  • PKU-MMD: A Large Scale Benchmark for Continuous Multi-Modal Human Action Understanding.

    Chunhui Liu;Yueyu Hu;Yanghao Li;Sijie Song

Frequent Co-Authors

Zongming Guo
Zongming Guo Peking University
Wenhan Yang
Wenhan Yang Peking University
Wen-Huang Cheng
Wen-Huang Cheng National Yang Ming Chiao Tung University
Shiqi Wang
Shiqi Wang City University of Hong Kong
Yuming Fang
Yuming Fang Jiangxi University of Finance and Economics
Robby T. Tan
Robby T. Tan National University of Singapore
Jiashi Feng
Jiashi Feng ByteDance
Zhangyang Wang
Zhangyang Wang The University of Texas at Austin
Wenjun Zeng
Wenjun Zeng Microsoft (United States)
Ling-Yu Duan
Ling-Yu Duan Peking University

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