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Yu-Feng Zang
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Neuroscience
China
2023

D-Index & Metrics

Neuroscience

D-Index
87
Citations
47211
World Ranking
1230
National Ranking
17

Yu-Feng Zang 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 Yu-Feng Zang 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: 242 publications — 73rd percentile

73% of scientists in this discipline score the same or lower.

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

Yu-Feng Zang 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 Yu-Feng Zang 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: 87 D-Index — 87th percentile

87% 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

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

Overview

Yu-Feng Zang is affiliated with Hangzhou Normal University in China and has contributed extensively to neuroscience and medicine through research and publications. Their scholarly work spans across both broad and specialized areas within these fields, particularly focusing on cognitive neuroscience and neurological disorders.

Their main fields of study include:

  • Neuroscience
  • Medicine

Within these broad fields, Yu-Feng Zang's subfields of research cover:

  • Cognitive Neuroscience
  • Neurology
  • Radiology, Nuclear Medicine and Imaging
  • Psychiatry and Mental Health
  • Experimental and Cognitive Psychology

Their research topics emphasize specific areas such as:

  • Functional Brain Connectivity Studies
  • Transcranial Magnetic Stimulation Studies
  • Neural dynamics and brain function
  • Advanced MRI Techniques and Applications
  • Advanced Neuroimaging Techniques and Applications
  • EEG and Brain-Computer Interfaces
  • Neurological disorders and treatments

Yu-Feng Zang has published in several reputable venues, including multiple contributions to:

  • Frontiers in Neuroscience
  • Human Brain Mapping
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
  • CNS Neuroscience & Therapeutics

Their recent important papers cover a variety of neuroimaging and neurological topics, such as:

  • "Quality of life in Parkinson's disease: A systematic review and meta-analysis of comparative studies," 2020, CNS Neuroscience & Therapeutics
  • "Disrupted intrinsic functional brain topology in patients with major depressive disorder," 2021, Molecular Psychiatry
  • "Percent amplitude of fluctuation: A simple measure for resting-state fMRI signal at single voxel level," 2020, PLoS ONE
  • "Altered resting-state dynamic functional brain networks in major depressive disorder: Findings from the REST-meta-MDD consortium," 2020, NeuroImage Clinical
  • "Biotypes of major depressive disorder: Neuroimaging evidence from resting-state default mode network patterns," 2020, NeuroImage Clinical

Frequent collaborators in their research include:

  • Xiao Chen
  • Xi-Nian Zuo
  • Chao-Gan Yan
  • Jue Wang
  • Chuanyue Wang

Best Publications

  • DPARSF: A MATLAB Toolbox for “Pipeline” Data Analysis of Resting-State fMRI

    Unknown

  • DPABI: Data Processing & Analysis for (Resting-State) Brain Imaging.

    Chao-Gan Yan;Xin-Di Wang;Xi-Nian Zuo;Yu-Feng Zang

  • Toward discovery science of human brain function

    Bharat B. Biswal;Maarten Mennes;Xi Nian Zuo;Suril Gohel

  • 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

  • An improved approach to detection of amplitude of low-frequency fluctuation (ALFF) for resting-state fMRI: fractional ALFF.

    Qi-Hong Zou;Chao-Zhe Zhu;Yihong Yang;Xi-Nian Zuo

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

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

  • 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

  • Reduced default mode network functional connectivity in patients with recurrent major depressive disorder.

    Chao-Gan Yan;Xiao Chen;Le Li;Francisco Xavier Castellanos

  • Growing Together and Growing Apart: Regional and Sex Differences in the Lifespan Developmental Trajectories of Functional Homotopy

    Xi-Nian Zuo;Xi-Nian Zuo;Clare Kelly;Adriana Di Martino;Adriana Di Martino;Maarten Mennes

  • DYNAMIC FUNCTIONAL REORGANIZATION OF THE MOTOR EXECUTION NETWORK AFTER STROKE

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

  • 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

  • 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

  • Amplitude of low frequency fluctuation within visual areas revealed by resting-state functional MRI.

    Hong Yang;Xiang-Yu Long;Yihong Yang;Hao Yan

  • Altered small-world brain functional networks in children with attention-deficit/hyperactivity disorder.

    Liang Wang;Chaozhe Zhu;Yong He;Yufeng Zang

  • Toward reliable characterization of functional homogeneity in the human brain: Preprocessing, scan duration, imaging resolution and computational space

    Xi-Nian Zuo;Ting Xu;Lili Jiang;Zhi Yang

  • Altered resting-state functional connectivity patterns of anterior cingulate cortex in adolescents with attention deficit hyperactivity disorder.

    Lixia Tian;Tianzi Jiang;Yufeng Wang;Yufeng Zang

  • An open science resource for establishing reliability and reproducibility in functional connectomics

    Xi Nian Zuo;Jeffrey S. Anderson;Pierre Bellec;Rasmus M. Birn

  • Standardizing the intrinsic brain: Towards robust measurement of inter-individual variation in 1000 functional connectomes

    Chao Gan Yan;R. Cameron Craddock;R. Cameron Craddock;Xi Nian Zuo;Yu Feng Zang

  • Alterations in regional homogeneity of resting-state brain activity in autism spectrum disorders.

    Jyri-Johan Paakki;Jukka Rahko;Xiangyu Long;Irma Moilanen

  • Regional homogeneity changes in patients with Parkinson's disease.

    Tao Wu;Xiangyu Long;Yufeng Zang;Liang Wang

Frequent Co-Authors

Yong He
Yong He Beijing Normal University
Chaozhe Zhu
Chaozhe Zhu Beijing Normal University
Xi-Nian Zuo
Xi-Nian Zuo Beijing Normal University
Tianzi Jiang
Tianzi Jiang Chinese Academy of Sciences
Chao-Gan Yan
Chao-Gan Yan Tsinghua University
Han Zhang
Han Zhang ShanghaiTech University
Qiyong Gong
Qiyong Gong Sichuan University
Wei Liao
Wei Liao University of Electronic Science and Technology of China
Michael P. Milham
Michael P. Milham Child Mind Institute
Xuchu Weng
Xuchu Weng South China Normal University

External Links

Personal website of Yu-Feng Zang

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Best Scientists Citing Yu-Feng Zang

Vince D. Calhoun

Vince D. Calhoun

Georgia State University

Publications: 258

Michael P. Milham

Michael P. Milham

Child Mind Institute

Publications: 197

Qiyong Gong

Qiyong Gong

Sichuan University

Publications: 196

Yong He

Yong He

Beijing Normal University

Publications: 195

Bharat B. Biswal

Bharat B. Biswal

New Jersey Institute of Technology

Publications: 148

Tianzi Jiang

Tianzi Jiang

Chinese Academy of Sciences

Publications: 145

Hongzheng Chen

Hongzheng Chen

Zhejiang University

Publications: 125

Jiang Qiu

Jiang Qiu

Southwest University

Publications: 124

F. Xavier Castellanos

F. Xavier Castellanos

New York University

Publications: 111

Xi-Nian Zuo

Xi-Nian Zuo

Beijing Normal University

Publications: 109

Chunshui Yu

Chunshui Yu

Tianjin Medical University General Hospital

Publications: 102

Jie Tian

Jie Tian

Chinese Academy of Sciences

Publications: 100

Christian F. Beckmann

Christian F. Beckmann

Radboud University

Publications: 98

Kuncheng Li

Kuncheng Li

Capital Medical University

Publications: 94

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Feng Liu

Tianjin Medical University General Hospital

Publications: 92

Simon B. Eickhoff

Simon B. Eickhoff

Heinrich Heine University Düsseldorf

Publications: 91

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