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Jing Sui

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Neuroscience 62 3533 3232 45 42 226 13381

Jing Sui publications per year

The chart shows the history of publications by Jing Sui between 2005 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Jing Sui published across 21 years, from 2005 to 2025, averaging 17.6 papers a year. Output peaked at 46 publications in 2025. 74 of the 369 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 2005 to 2025. Vertical axis: number of publications, 0 to 46. Peak 46 publications in 2025. 2005: 4 publications 2006: 4 publications 2007: 2 publications 2008: 3 publications 2009: 5 publications 2010: 6 publications 2011: 5 publications 2012: 7 publications 2013: 7 publications 2014: 9 publications 2015: 12 publications 2016: 11 publications 2017: 18 publications 2018: 29 publications 2019: 25 publications 2020: 33 publications 2021: 35 publications 2022: 39 publications 2023: 41 publications 2024: 28 publications 2025: 46 publications
2005 2025

369 publications in total across all disciplines

View publications per year as a table
Jing Sui: publications per year, 2005 to 2025
Year Publications
2005 4
2006 4
2007 2
2008 3
2009 5
2010 6
2011 5
2012 7
2013 7
2014 9
2015 12
2016 11
2017 18
2018 29
2019 25
2020 33
2021 35
2022 39
2023 41
2024 28
2025 46
Total 369
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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.

No. of scientists
100 200 300 400 500
Bar chart with 86 bars. Horizontal axis: publications, 38–47 to 887+. Vertical axis: number of scientists, 0 to 539. Most scientists, 539, have 98–107 publications. The last bar groups every scientist with 887 publications or more. The highlighted bar, 218–227 publications, is where this scientist sits. 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 scientist 868–877 publications: 3 scientists 878–886 publications: 6 scientists 887+ publications: 100 scientists
38–47 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.

View publications distribution as a table
Number of Neuroscience scientists by publication count, Research.com 2026 ranking edition. Based on 9,597 ranked scientists.
Publications Scientists This scientist
38–47 18
48–57 79
58–67 193
68–77 323
78–87 406
88–97 452
98–107 539
108–117 505
118–127 522
128–137 469
138–147 456
148–157 459
158–167 397
168–177 383
178–187 350
188–197 302
198–207 306
208–217 262
218–227 242 226
228–237 220
238–247 203
248–257 174
258–267 176
268–277 175
278–287 125
288–297 116
298–307 127
308–317 128
318–327 99
328–337 89
338–347 78
348–357 96
358–367 66
368–377 59
378–387 65
388–397 54
398–407 48
408–417 49
418–427 34
428–437 31
438–447 30
448–457 31
458–467 36
468–477 40
478–487 35
488–497 30
498–507 23
508–517 26
518–527 20
528–537 23
538–547 20
548–557 20
558–567 17
568–577 14
578–587 20
588–597 20
598–607 19
608–617 18
618–627 17
628–637 11
638–647 11
648–657 11
658–667 8
668–677 7
678–687 11
688–697 10
698–707 4
708–717 6
718–727 5
728–737 5
738–747 9
748–757 9
758–767 3
768–777 7
778–787 7
788–797 6
798–807 2
808–817 2
818–827 7
828–837 0
838–847 9
848–857 3
858–867 1
868–877 3
878–886 6
887+ 100
Download as CSV

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.

No. of scientists
100 200 300 400 500
Bar chart with 68 bars. Horizontal axis: D-Index, 30–31 to 163+. Vertical axis: number of scientists, 0 to 512. Most scientists, 512, have 46–47 D-Index. The last bar groups every scientist with 163 D-Index or more. The highlighted bar, 62–63 D-Index, is where this scientist sits. 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
30–31 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.

View D-Index distribution as a table
Number of Neuroscience scientists by D-index, Research.com 2026 ranking edition. Based on 9,597 ranked scientists.
D-Index Scientists This scientist
30–31 42
32–33 172
34–35 296
36–37 435
38–39 459
40–41 456
42–43 467
44–45 478
46–47 512
48–49 435
50–51 425
52–53 418
54–55 392
56–57 357
58–59 334
60–61 328
62–63 260 62
64–65 278
66–67 239
68–69 250
70–71 210
72–73 200
74–75 189
76–77 170
78–79 146
80–81 113
82–83 126
84–85 100
86–87 84
88–89 99
90–91 84
92–93 85
94–95 72
96–97 76
98–99 45
100–101 49
102–103 43
104–105 32
106–107 45
108–109 50
110–111 32
112–113 39
114–115 32
116–117 29
118–119 27
120–121 19
122–123 23
124–125 27
126–127 16
128–129 24
130–131 13
132–133 21
134–135 17
136–137 14
138–139 15
140–141 10
142–143 10
144–145 13
146–147 9
148–149 8
150–151 6
152–153 6
154–155 7
156–157 7
158–159 10
160–161 4
162 8
163+ 100
Download as CSV

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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