World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
4429
World Ranking
12247
National Ranking
1509

Xiaohai He 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 Xiaohai He 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: 271 publications — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Xiaohai He 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 Xiaohai He 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

Xiaohai He is affiliated with Sichuan University in China and has an extensive research portfolio primarily focused on computer science and engineering. Their work spans several core areas including computer vision and pattern recognition, media technology, artificial intelligence, signal processing, and ocean engineering.

Their research topics cover a broad range of subjects within advanced image and signal processing. Key themes include:

  • Advanced Image Processing Techniques
  • Image and Signal Denoising Methods
  • Advanced Vision and Imaging
  • Advanced Image Fusion Techniques
  • Image Processing Techniques and Applications
  • Video Coding and Compression Technologies
  • Medical Image Segmentation Techniques

Xiaohai He's publication record includes articles in frequently appearing venues such as:

  • Physical Review. E
  • IEEE Signal Processing Letters
  • Journal of Electronic Imaging
  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Transactions on Broadcasting

Recent notable papers include:

  • Real-world single image super-resolution: A brief review (2021, Information Fusion)
  • An end-to-end three-dimensional reconstruction framework of porous media from a single two-dimensional image based on deep learning (2020, Computer Methods in Applied Mechanics and Engineering)
  • BPGAN: Brain PET synthesis from MRI using generative adversarial network for multi-modal Alzheimer's disease diagnosis (2022, Computer Methods and Programs in Biomedicine)
  • Super-resolution of real-world rock microcomputed tomography images using cycle-consistent generative adversarial networks (2020, Physical Review. E)
  • Slice-to-voxel stochastic reconstructions on porous media with hybrid deep generative model (2020, Computational Materials Science)

Their research collaborations include repeated partnerships with several frequent co-authors, such as:

  • Linbo Qing (co-authored 35 papers)
  • Qizhi Teng (34 papers)
  • Honggang Chen (27 papers)
  • Chao Ren (27 papers)
  • Shuhua Xiong (19 papers)

Xiaohai He's body of work contributes to the fields of advanced image processing, machine learning applications in vision tasks, and signal enhancement techniques. Their studies encompass both theoretical frameworks and practical implementations, addressing challenges such as super-resolution imaging, image fusion, and multi-modal data interpretation.

Best Publications

  • Real-World Single Image Super-Resolution: A Brief Review

    Honggang Chen;Xiaohai He;Linbo Qing;Yuanyuan Wu

  • Adaptive Consistency Prior based Deep Network for Image Denoising

    Chao Ren;Xiaohai He;Chuncheng Wang;Zhibo Zhao

  • Infrared and visible image fusion with the use of multi-scale edge-preserving decomposition and guided image filter

    Wei Gan;Xiaohong Wu;Wei Wu;Xiaomin Yang

  • CT-image of rock samples super resolution using 3D convolutional neural network

    Yukai Wang;Qizhi Teng;Xiaohai He;Junxi Feng

  • An end-to-end three-dimensional reconstruction framework of porous media from a single two-dimensional image based on deep learning

    Junxi Feng;Qizhi Teng;Qizhi Teng;Bing Li;Xiaohai He;Xiaohai He

  • BPGAN: Brain PET synthesis from MRI using generative adversarial network for multi-modal Alzheimer's disease diagnosis

    Unknown

  • Accelerating multi-point statistics reconstruction method for porous media via deep learning

    Junxi Feng;Qizhi Teng;Xiaohai He;Xiaohong Wu

  • Reconstruction of porous media from extremely limited information using conditional generative adversarial networks.

    Junxi Feng;Xiaohai He;Qizhi Teng;Chao Ren

  • Learning-based super resolution using kernel partial least squares

    Wei Wu;Zheng Liu;Xiaohai He

  • Moving Object Detection With a Freely Moving Camera via Background Motion Subtraction

    Yuanyuan Wu;Xiaohai He;Truong Q. Nguyen

  • Super-resolution of real-world rock microcomputed tomography images using cycle-consistent generative adversarial networks

    Honggang Chen;Xiaohai He;Xiaohai He;Qizhi Teng;Raymond E. Sheriff

  • An automated vision system for container-code recognition

    Wei Wu;Zheng Liu;Mo Chen;Xiaomin Yang

  • DPW-SDNet: Dual Pixel-Wavelet Domain Deep CNNs for Soft Decoding of JPEG-Compressed Images

    Unknown

  • Object tracking using firefly algorithm

    Ming-Liang Gao;Xiao-Hai He;Dai-Sheng Luo;Jun Jiang

  • A pixel selection rule based on the number of different-phase neighbours for the simulated annealing reconstruction of sandstone microstructure.

    T. Tang;Q. Teng;X. He;D. Luo

  • Slice-to-voxel stochastic reconstructions on porous media with hybrid deep generative model

    Fan Zhang;Fan Zhang;Qizhi Teng;Qizhi Teng;Honggang Chen;Honggang Chen;Xiaohai He;Xiaohai He

  • Single Image Super-Resolution Using Local Geometric Duality and Non-Local Similarity

    Chao Ren;Xiaohai He;Qizhi Teng;Yuanyuan Wu

  • Single Image Super-Resolution via Adaptive High-Dimensional Non-Local Total Variation and Adaptive Geometric Feature

    Chao Ren;Xiaohai He;Truong Q. Nguyen

  • Video superresolution reconstruction based on subpixel registration and iterative back projection

    Feng-qing Qin;Xiao-hai He;Wei-long Chen;Xiao-min Yang

  • Diagnosis of Alzheimer's disease based on regional attention with sMRI gray matter slices.

    Yanteng Zhang;Qizhi Teng;Yuyang Liu;Yan Liu

  • Single-image super-resolution based on Markov random field and contourlet transform

    Wei Wu;Zheng Liu;Wail Gueaieb;Xiaohai He

  • Reconstruction of three-dimensional porous media from a single two-dimensional image using three-step sampling.

    MingLiang Gao;XiaoHai He;QiZhi Teng;Chen Zuo

  • Stable-phase method for hierarchical annealing in the reconstruction of porous media images.

    DongDong Chen;Qizhi Teng;Xiaohai He;Zhi Xu

Frequent Co-Authors

Truong Q. Nguyen
Truong Q. Nguyen University of California, San Diego
Zheng Liu
Zheng Liu University of British Columbia
Ce Zhu
Ce Zhu University of Electronic Science and Technology of China
Susumu Mori
Susumu Mori Johns Hopkins University School of Medicine
Andreia V. Faria
Andreia V. Faria Johns Hopkins University School of Medicine

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