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Jing Sui

D-Index & Metrics

Neuroscience

D-Index
62
Citations
13381
World Ranking
3533
National Ranking
45

Jing Sui 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 Jing Sui 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: 226 publications — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Jing Sui 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 Jing Sui 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: 62 D-Index — 64th percentile

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

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

Overview

Jing Sui is affiliated with Beijing Normal University in China and conducts research primarily in the fields of neuroscience and medicine. Their work focuses on cognitive neuroscience, radiology, nuclear medicine and imaging, psychiatry and mental health, experimental and cognitive psychology, and electrical and electronic engineering.

The research topics covered by Jing Sui include:

  • Functional Brain Connectivity Studies
  • Advanced Neuroimaging Techniques and Applications
  • Mental Health Research Topics
  • Neural Dynamics and Brain Function
  • EEG and Brain-Computer Interfaces
  • Schizophrenia Research and Treatment
  • Attention Deficit Hyperactivity Disorder

Among the recent publications authored or co-authored by Jing Sui are:

  • Neuroimaging-based Individualized Prediction of Cognition and Behavior for Mental Disorders and Health, 2020, Biological Psychiatry
  • NeuroMark: An automated and adaptive ICA based pipeline to identify reproducible fMRI markers of brain disorders, 2020, NeuroImage Clinical
  • A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural Connectivity, 2021, IEEE Transactions on Medical Imaging
  • Dual-active-site hierarchical architecture containing NiFe-LDH and ZIF-derived carbon-based framework composite as efficient bifunctional oxygen electrocatalysts for durable rechargeable Zn-air batteries, 2020, Chemical Engineering Journal
  • Associations between grip strength, brain structure, and mental health in > 40,000 participants from the UK Biobank, 2022, BMC Medicine

The frequent co-authors collaborating with Jing Sui include:

  • Vince D. Calhoun
  • Zening Fu
  • Rongtao Jiang
  • Shile Qi
  • Dongmei Zhi

Jing Sui's work has been published frequently in the following venues:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Biological Psychiatry
  • Human Brain Mapping
  • SSRN Electronic Journal
  • Cerebral Cortex

Best Publications

  • Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls.

    Mohammad R. Arbabshirani;Sergey M. Plis;Jing Sui;Vince D. Calhoun

  • Multimodal Fusion of Brain Imaging Data: A Key to Finding the Missing Link(s) in Complex Mental Illness

    Vince D. Calhoun;Jing Sui

  • A review of multivariate methods for multimodal fusion of brain imaging data

    Jing Sui;Tülay Adali;Qingbao Yu;Jiayu Chen

  • NeuroMark: An automated and adaptive ICA based pipeline to identify reproducible fMRI markers of brain disorders

    Yuhui Du;Yuhui Du;Zening Fu;Jing Sui;Jing Sui;Shuang Gao;Shuang Gao

  • Machine learning in major depression: From classification to treatment outcome prediction.

    Shuang Gao;Vince D. Calhoun;Vince D. Calhoun;Jing Sui

  • Neuroimaging-based Individualized Prediction of Cognition and Behavior for Mental Disorders and Health: Methods and Promises.

    Jing Sui;Rongtao Jiang;Juan Bustillo;Vince Calhoun

  • Exploring the Psychosis Functional Connectome: Aberrant Intrinsic Networks in Schizophrenia and Bipolar Disorder

    Vince D Calhoun;Vince D Calhoun;Jing Sui;Kent Kiehl;Kent Kiehl;Jessica A Turner

  • Discriminating schizophrenia and bipolar disorder by fusing fMRI and DTI in a multimodal CCA+ joint ICA model.

    Jing Sui;Godfrey D. Pearlson;Arvind Caprihan;Tülay Adali

  • Assessing dynamic brain graphs of time-varying connectivity in fMRI data: application to healthy controls and patients with schizophrenia.

    Qingbao Yu;Erik B. Erhardt;Jing Sui;Yuhui Du

  • A Hybrid Machine Learning Method for Fusing fMRI and Genetic Data: Combining both Improves Classification of Schizophrenia

    Honghui Yang;Honghui Yang;Jingyu Liu;Jingyu Liu;Jing Sui;Jing Sui;Godfrey Pearlson

  • Interaction among subsystems within default mode network diminished in schizophrenia patients: A dynamic connectivity approach.

    Yuhui Du;Yuhui Du;Godfrey D. Pearlson;Qingbao Yu;Hao He

  • In search of multimodal neuroimaging biomarkers of cognitive deficits in schizophrenia.

    Jing Sui;Jing Sui;Godfrey D. Pearlson;Yuhui Du;Qingbao Yu

  • Function-structure associations of the brain: Evidence from multimodal connectivity and covariance studies

    Jing Sui;René J. Huster;Qingbao Yu;Judith M. Segall

  • Altered static and dynamic functional network connectivity in Alzheimer's disease and subcortical ischemic vascular disease: shared and specific brain connectivity abnormalities

    Zening Fu;Arvind Caprihan;Jiayu Chen;Yuhui Du;Yuhui Du

  • Brain connectivity networks in schizophrenia underlying resting state functional magnetic resonance imaging

    Qingbao Yu;Elena A. Allen;Elena A. Allen;Jing Sui;Mohammad R. Arbabshirani;Mohammad R. Arbabshirani

  • Multimodal neuromarkers in schizophrenia via cognition-guided MRI fusion

    Jing Sui;Shile Qi;Theo G.M. van Erp;Juan Bustillo

  • Discriminating schizophrenia using recurrent neural network applied on time courses of multi-site FMRI data

    Weizheng Yan;Vince Calhoun;Ming Song;Yue Cui

  • Altered topological properties of functional network connectivity in schizophrenia during resting state: a small-world brain network study.

    Qingbao Yu;Jing Sui;Srinivas Rachakonda;Hao He;Hao He

  • A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural Connectivity

    Dongren Yao;Jing Sui;Mingliang Wang;Erkun Yang

  • Aberrant Dynamic Functional Network Connectivity and Graph Properties in Major Depressive Disorder.

    Dongmei Zhi;Vince D. Calhoun;Luxian Lv;Xiaohong Ma

  • A group ICA based framework for evaluating resting fMRI markers when disease categories are unclear: application to schizophrenia, bipolar, and schizoaffective disorders.

    Yuhui Du;Yuhui Du;Godfrey D. Pearlson;Jingyu Liu;Jingyu Liu;Jing Sui;Jing Sui

  • Three-way (N-way) fusion of brain imaging data based on mCCA+jICA and its application to discriminating schizophrenia

    Jing Sui;Hao He;Godfrey D. Pearlson;Tülay Adali

Frequent Co-Authors

Vince D. Calhoun
Vince D. Calhoun Georgia State University
Godfrey D. Pearlson
Godfrey D. Pearlson Yale University
Jessica A. Turner
Jessica A. Turner The Ohio State University
Tianzi Jiang
Tianzi Jiang Chinese Academy of Sciences
Juan R. Bustillo
Juan R. Bustillo University of New Mexico
Daniel H. Mathalon
Daniel H. Mathalon University of California, San Francisco
Tulay Adali
Tulay Adali University of Maryland, Baltimore County
Kent A. Kiehl
Kent A. Kiehl University of New Mexico
Vincent P. Clark
Vincent P. Clark University of New Mexico
Bryon A. Mueller
Bryon A. Mueller University of Minnesota

External Links

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Best Scientists Citing Jing Sui

Vince D. Calhoun

Vince D. Calhoun

Georgia State University

Publications: 433

Jessica A. Turner

Jessica A. Turner

The Ohio State University

Publications: 88

Godfrey D. Pearlson

Godfrey D. Pearlson

Yale University

Publications: 70

Daniel H. Mathalon

Daniel H. Mathalon

University of California, San Francisco

Publications: 55

Tulay Adali

Tulay Adali

University of Maryland, Baltimore County

Publications: 40

Danilo Bzdok

Danilo Bzdok

Montreal Neurological Institute and Hospital

Publications: 39

Dinggang Shen

Dinggang Shen

ShanghaiTech University

Publications: 38

Qiyong Gong

Qiyong Gong

Sichuan University

Publications: 30

Theo G.M. van Erp

Theo G.M. van Erp

University of California, Irvine

Publications: 29

Juan R. Bustillo

Juan R. Bustillo

University of New Mexico

Publications: 28

Paul M. Thompson

Paul M. Thompson

University of Southern California

Publications: 27

Danielle S. Bassett

Danielle S. Bassett

University of Pennsylvania

Publications: 27

John A. Sweeney

John A. Sweeney

University of Cincinnati

Publications: 26

Simon B. Eickhoff

Simon B. Eickhoff

Heinrich Heine University Düsseldorf

Publications: 26

Lars T. Westlye

Lars T. Westlye

University of Oslo

Publications: 25

Yong He

Yong He

Beijing Normal University

Publications: 24

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