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Neuroscience
China
2026

D-Index & Metrics

Neuroscience

D-Index
110
Citations
56665
World Ranking
537
National Ranking
7

Yong He publication distribution in Neuroscience in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Neuroscience in 2026. The highlighted bar marks where Yong He sits on this spectrum.

38–47 publications: 18 scientists 48–57 publications: 79 scientists 58–67 publications: 193 scientists 68–77 publications: 323 scientists 78–87 publications: 406 scientists 88–97 publications: 452 scientists 98–107 publications: 539 scientists 108–117 publications: 505 scientists 118–127 publications: 522 scientists 128–137 publications: 469 scientists 138–147 publications: 456 scientists 148–157 publications: 459 scientists 158–167 publications: 397 scientists 168–177 publications: 383 scientists 178–187 publications: 350 scientists 188–197 publications: 302 scientists 198–207 publications: 306 scientists 208–217 publications: 262 scientists 218–227 publications: 242 scientists 228–237 publications: 220 scientists 238–247 publications: 203 scientists 248–257 publications: 174 scientists 258–267 publications: 176 scientists 268–277 publications: 175 scientists 278–287 publications: 125 scientists 288–297 publications: 116 scientists 298–307 publications: 127 scientists 308–317 publications: 128 scientists 318–327 publications: 99 scientists 328–337 publications: 89 scientists 338–347 publications: 78 scientists 348–357 publications: 96 scientists 358–367 publications: 66 scientists 368–377 publications: 59 scientists 378–387 publications: 65 scientists 388–397 publications: 54 scientists 398–407 publications: 48 scientists 408–417 publications: 49 scientists 418–427 publications: 34 scientists 428–437 publications: 31 scientists 438–447 publications: 30 scientists 448–457 publications: 31 scientists 458–467 publications: 36 scientists 468–477 publications: 40 scientists 478–487 publications: 35 scientists 488–497 publications: 30 scientists 498–507 publications: 23 scientists 508–517 publications: 26 scientists 518–527 publications: 20 scientists 528–537 publications: 23 scientists 538–547 publications: 20 scientists 548–557 publications: 20 scientists 558–567 publications: 17 scientists 568–577 publications: 14 scientists 578–587 publications: 20 scientists 588–597 publications: 20 scientists 598–607 publications: 19 scientists 608–617 publications: 18 scientists 618–627 publications: 17 scientists 628–637 publications: 11 scientists 638–647 publications: 11 scientists 648–657 publications: 11 scientists 658–667 publications: 8 scientists 668–677 publications: 7 scientists 678–687 publications: 11 scientists 688–697 publications: 10 scientists 698–707 publications: 4 scientists 708–717 publications: 6 scientists 718–727 publications: 5 scientists 728–737 publications: 5 scientists 738–747 publications: 9 scientists 748–757 publications: 9 scientists 758–767 publications: 3 scientists 768–777 publications: 7 scientists 778–787 publications: 7 scientists 788–797 publications: 6 scientists 798–807 publications: 2 scientists 808–817 publications: 2 scientists 818–827 publications: 7 scientists 828–837 publications: 0 scientists 838–847 publications: 9 scientists 848–857 publications: 3 scientists 858–867 publications: 1 scientists 868–877 publications: 3 scientists 878–886 publications: 6 scientists 887+ publications: 100 scientists
38 publications 887+

This scientist: 311 publications — 84th percentile

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

The last bar groups every scientist with 887 publications or more.

Yong He D-index placement in Neuroscience in 2026

The chart shows the D-index (discipline H-index) distribution of Neuroscience scientists ranked by Research.com in 2026. The highlighted bar marks where Yong He sits on this spectrum.

30–31 D-Index: 42 scientists 32–33 D-Index: 172 scientists 34–35 D-Index: 296 scientists 36–37 D-Index: 435 scientists 38–39 D-Index: 459 scientists 40–41 D-Index: 456 scientists 42–43 D-Index: 467 scientists 44–45 D-Index: 478 scientists 46–47 D-Index: 512 scientists 48–49 D-Index: 435 scientists 50–51 D-Index: 425 scientists 52–53 D-Index: 418 scientists 54–55 D-Index: 392 scientists 56–57 D-Index: 357 scientists 58–59 D-Index: 334 scientists 60–61 D-Index: 328 scientists 62–63 D-Index: 260 scientists 64–65 D-Index: 278 scientists 66–67 D-Index: 239 scientists 68–69 D-Index: 250 scientists 70–71 D-Index: 210 scientists 72–73 D-Index: 200 scientists 74–75 D-Index: 189 scientists 76–77 D-Index: 170 scientists 78–79 D-Index: 146 scientists 80–81 D-Index: 113 scientists 82–83 D-Index: 126 scientists 84–85 D-Index: 100 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 99 scientists 90–91 D-Index: 84 scientists 92–93 D-Index: 85 scientists 94–95 D-Index: 72 scientists 96–97 D-Index: 76 scientists 98–99 D-Index: 45 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 43 scientists 104–105 D-Index: 32 scientists 106–107 D-Index: 45 scientists 108–109 D-Index: 50 scientists 110–111 D-Index: 32 scientists 112–113 D-Index: 39 scientists 114–115 D-Index: 32 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 27 scientists 120–121 D-Index: 19 scientists 122–123 D-Index: 23 scientists 124–125 D-Index: 27 scientists 126–127 D-Index: 16 scientists 128–129 D-Index: 24 scientists 130–131 D-Index: 13 scientists 132–133 D-Index: 21 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 14 scientists 138–139 D-Index: 15 scientists 140–141 D-Index: 10 scientists 142–143 D-Index: 10 scientists 144–145 D-Index: 13 scientists 146–147 D-Index: 9 scientists 148–149 D-Index: 8 scientists 150–151 D-Index: 6 scientists 152–153 D-Index: 6 scientists 154–155 D-Index: 7 scientists 156–157 D-Index: 7 scientists 158–159 D-Index: 10 scientists 160–161 D-Index: 4 scientists 162 D-Index: 8 scientists 163+ D-Index: 100 scientists
30 D-Index 163+

This scientist: 110 D-Index — 94th percentile

94% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 163 D-Index or more.

Research.com Recognitions

  • 2026 - Research.com Neuroscience in China Leader Award
  • 2025 - Research.com Neuroscience in China Leader Award
  • 2023 - Research.com Neuroscience in China Leader Award
  • 2022 - Research.com Neuroscience in China Leader Award

Overview

Yong He is affiliated with Beijing Normal University in China and has contributed extensively to research in the fields of Medicine and Neuroscience. Their work predominantly focuses on cognitive neuroscience, radiology, nuclear medicine and imaging, materials chemistry, psychiatry and mental health, and experimental and cognitive psychology.

The scientist's research covers main topics including functional brain connectivity studies, advanced neuroimaging techniques and applications, neural dynamics and brain function, advanced MRI techniques and applications, mental health research topics, crystallization and solubility studies, and X-ray diffraction in crystallography.

Yong He has been published frequently in several reputable venues, including:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • The Cambridge Structural Database
  • NeuroImage
  • Cerebral Cortex
  • Biological Psychiatry

Notable recent papers authored or co-authored by Yong He include:

  • Quantitative mapping of the brain's structural connectivity using diffusion MRI tractography: A review, 2022, NeuroImage
  • Connectome gradient dysfunction in major depression and its association with gene expression profiles and treatment outcomes, 2022, Molecular Psychiatry
  • Development of the default-mode network during childhood and adolescence: A longitudinal resting-state fMRI study, 2020, NeuroImage
  • Development of functional connectome gradients during childhood and adolescence, 2022, Science Bulletin
  • Reliability and Individual Specificity of EEG Microstate Characteristics, 2020, Brain Topography

Frequent co-authors in Yong He's collaborations include Mingrui Xia, Jia-Hong Gao, Tengda Zhao, Sha Tao, and Yanpei Wang. This network of collaborators contributes to a wide array of interdisciplinary studies combining neuroimaging, cognitive neuroscience, and mental health research.

Best Publications

  • BrainNet Viewer: a network visualization tool for human brain connectomics.

    Mingrui Xia;Jinhui Wang;Yong He

  • Altered baseline brain activity in children with ADHD revealed by resting-state functional MRI

    Yu-Feng Zang;Yong He;Chao-Zhe Zhu;Chao-Zhe Zhu;Qing-Jiu Cao

  • Regional homogeneity approach to fMRI data analysis

    Yufeng Zang;Tianzi Jiang;Yingli Lu;Yong He

  • REST: A Toolkit for Resting-State Functional Magnetic Resonance Imaging Data Processing

    Xiao-Wei Song;Zhang-Ye Dong;Xiang-Yu Long;Su-Fang Li

  • Small-World Anatomical Networks in the Human Brain Revealed by Cortical Thickness from MRI

    Yong He;Zhang J. Chen;Alan C. Evans

  • GRETNA: a graph theoretical network analysis toolbox for imaging connectomics

    Jinhui Wang;Jinhui Wang;Xindi Wang;Mingrui Xia;Xuhong Liao

  • Mapping Anatomical Connectivity Patterns of Human Cerebral Cortex Using In Vivo Diffusion Tensor Imaging Tractography

    Gaolang Gong;Yong He;Luis Concha;Catherine Lebel

  • Disrupted small-world networks in schizophrenia.

    Yong Liu;Meng Liang;Yuan Zhou;Yong He

  • Structural insights into aberrant topological patterns of large-scale cortical networks in Alzheimer's disease.

    Yong He;Zhang Chen;Alan Evans

  • Changes in hippocampal connectivity in the early stages of Alzheimer's disease: evidence from resting state fMRI.

    Liang Wang;Yufeng Zang;Yong He;Meng Liang

  • Disrupted brain connectivity networks in drug-naive, first-episode major depressive disorder.

    Junran Zhang;Jinhui Wang;Qizhu Wu;Weihong Kuang

  • Graph theoretical modeling of brain connectivity.

    Yong He;Alan Evans

  • PANDA: a pipeline toolbox for analyzing brain diffusion images

    Zaixu Cui;Suyu Zhong;Pengfei Xu;Yong He

  • DYNAMIC FUNCTIONAL REORGANIZATION OF THE MOTOR EXECUTION NETWORK AFTER STROKE

    Liang Wang;Chunshui Yu;Chunshui Yu;Hai Chen;Wen Qin

  • Age- and Gender-Related Differences in the Cortical Anatomical Network

    Gaolang Gong;Pedro Rosa-Neto;Felix Carbonell;Zhang J. Chen

  • Uncovering Intrinsic Modular Organization of Spontaneous Brain Activity in Humans

    Yong-yong He;Jinhui Wang;Liang Wang;Zhang J. Chen

  • Parcellation‐dependent small‐world brain functional networks: A resting‐state fMRI study

    Jinhui Wang;Liang Wang;Liang Wang;Yufeng Zang;Hong Yang

  • Coupling of functional connectivity and regional cerebral blood flow reveals a physiological basis for network hubs of the human brain

    Xia Liang;Xia Liang;Qihong Zou;Yong He;Yihong Yang

  • Regional coherence changes in the early stages of Alzheimer’s disease: A combined structural and resting-state functional MRI study

    Yong He;Liang Wang;Yufeng Zang;Yufeng Zang;Lixia Tian

  • Diffusion Tensor Tractography Reveals Abnormal Topological Organization in Structural Cortical Networks in Alzheimer's Disease

    Chun Yi Lo;Pei Ning Wang;Kun Hsien Chou;Jinhui Wang

Frequent Co-Authors

Mingrui Xia
Mingrui Xia Beijing Normal University
Yu-Feng Zang
Yu-Feng Zang Hangzhou Normal University
Gaolang Gong
Gaolang Gong Beijing Normal University
Ni Shu
Ni Shu Beijing Normal University
Jinhui Wang
Jinhui Wang South China Normal University
Kuncheng Li
Kuncheng Li Capital Medical University
Tianzi Jiang
Tianzi Jiang Chinese Academy of Sciences
Alan C. Evans
Alan C. Evans McGill University
Chao-Gan Yan
Chao-Gan Yan Tsinghua University
Qi Dong
Qi Dong Beijing Normal University

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