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Kuncheng Li

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Neuroscience 80 1613 1470 23 20 391 23482

Kuncheng Li publications per year

The chart shows the history of publications by Kuncheng Li between 1989 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Kuncheng Li published across 37 years, from 1989 to 2025, averaging 12.4 papers a year. Output peaked at 44 publications in 2011. 18 of the 460 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 1989 to 2025. Vertical axis: number of publications, 0 to 44. Peak 44 publications in 2011. 1989: 1 publication 1990: 1 publication 1991: 2 publications 1992: 0 publications 1993: 0 publications 1994: 1 publication 1995: 0 publications 1996: 1 publication 1997: 1 publication 1998: 3 publications 1999: 1 publication 2000: 2 publications 2001: 1 publication 2002: 0 publications 2003: 1 publication 2004: 1 publication 2005: 6 publications 2006: 15 publications 2007: 17 publications 2008: 21 publications 2009: 30 publications 2010: 30 publications 2011: 44 publications 2012: 34 publications 2013: 11 publications 2014: 28 publications 2015: 30 publications 2016: 32 publications 2017: 20 publications 2018: 34 publications 2019: 19 publications 2020: 18 publications 2021: 23 publications 2022: 7 publications 2023: 7 publications 2024: 14 publications 2025: 4 publications
1989 2025

460 publications in total across all disciplines

View publications per year as a table
Kuncheng Li: publications per year, 1989 to 2025
Year Publications
1989 1
1990 1
1991 2
1992 0
1993 0
1994 1
1995 0
1996 1
1997 1
1998 3
1999 1
2000 2
2001 1
2002 0
2003 1
2004 1
2005 6
2006 15
2007 17
2008 21
2009 30
2010 30
2011 44
2012 34
2013 11
2014 28
2015 30
2016 32
2017 20
2018 34
2019 19
2020 18
2021 23
2022 7
2023 7
2024 14
2025 4
Total 460
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Kuncheng Li 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 Kuncheng Li 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, 388–397 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: 391 publications — 91st percentile

91% 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
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 54 391
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

Kuncheng Li 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 Kuncheng Li 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, 80–81 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: 80 D-Index — 83rd percentile

83% 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
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 80
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

Kuncheng Li is affiliated with Capital Medical University in China, contributing extensively to the fields of Medicine and Neuroscience. Their research has a significant focus on radiology, neuroimaging, and cardiovascular medicine. Over their career, they have published extensively in areas that include functional brain connectivity, advanced neuroimaging techniques, cardiac imaging, and the study of dementia and cognitive impairment.

The scientist's main fields of study encompass Medicine with 104 publications and Neuroscience with 35 publications. Their subfields of study highlight expertise in Radiology, Nuclear Medicine and Imaging (41 publications), Cognitive Neuroscience (20 publications), Cardiology and Cardiovascular Medicine (16 publications), Neurology (10 publications), and Psychiatry and Mental Health (8 publications).

Key research topics covered by Kuncheng Li include:

  • Functional Brain Connectivity Studies
  • Advanced Neuroimaging Techniques and Applications
  • Cardiac Imaging and Diagnostics
  • Advanced MRI Techniques and Applications
  • Cardiovascular Function and Risk Factors
  • Dementia and Cognitive Impairment Research
  • Multiple Sclerosis Research Studies

Among the frequent coauthors collaborating with Kuncheng Li are Peipeng Liang, Jie Lu, Yiyuan Gao, Zhiwei Zhao, and Gerald M. Pohost. These collaborations suggest active engagement in multidisciplinary research teams and significant contributions to neuroimaging and cardiovascular research communities.

The scientist regularly publishes in established venues such as:

  • Journal of Magnetic Resonance Imaging
  • Neural Plasticity
  • European Radiology
  • Journal of Translational Medicine
  • Frontiers in Cardiovascular Medicine

Selected recent papers authored or coauthored by Kuncheng Li include:

  • "The Worldwide Alzheimer's Disease Neuroimaging Initiative: ADNI-3 updates and global perspectives," 2021, Alzheimer s & Dementia Translational Research & Clinical Interventions
  • "Shale gas exploration and development in the Sichuan Basin: Progress, challenge and countermeasures," 2022, Natural Gas Industry B
  • "Repetitive transcranial magnetic stimulation improves Parkinson's freezing of gait via normalizing brain connectivity," 2020, npj Parkinson s Disease
  • "Multicenter dataset of multi-shell diffusion MRI in healthy traveling adults with identical settings," 2020, Scientific Data
  • "Methyl-grafted silica nanoparticle stabilized water-in-oil Pickering emulsions with low-temperature stability," 2020, Journal of Colloid and Interface Science

Best Publications

  • 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

  • Altered functional connectivity in early Alzheimer's disease: A resting‐state fMRI study

    Kun Wang;Meng Liang;Liang Wang;Lixia Tian

  • DYNAMIC FUNCTIONAL REORGANIZATION OF THE MOTOR EXECUTION NETWORK AFTER STROKE

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

  • Brain Anatomical Network and Intelligence

    Y Li;Y Liu;J Li;W Qin

  • 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

  • Parcellating cortical functional networks in individuals

    Danhong Wang;Randy L Buckner;Michael D Fox;Michael D Fox;Daphne J Holt

  • Frequency-dependent changes in the amplitude of low-frequency fluctuations in amnestic mild cognitive impairment: a resting-state fMRI study.

    Ying Han;Jinhui Wang;Zhilian Zhao;Baoquan Min

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

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

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

    Tao Wu;Xiangyu Long;Yufeng Zang;Liang Wang

  • Changes of functional connectivity of the motor network in the resting state in Parkinson's disease.

    Tao Wu;Liang Wang;Yi Chen;Cheng Zhao

  • Impairment and compensation coexist in amnestic MCI default mode network.

    Zhigang Qi;Xia Wu;Zhiqun Wang;Nang Zhang

  • Diffusion Tensor Tractography Reveals Disrupted Topological Efficiency in White Matter Structural Networks in Multiple Sclerosis

    Ni Shu;Yaou Liu;Kuncheng Li;Yunyun Duan

  • Discriminative analysis of early Alzheimer's disease using multi-modal imaging and multi-level characterization with multi-classifier (M3).

    Zhengjia Dai;Chaogan Yan;Zhiqun Wang;Jinhui Wang

  • Identifying and Mapping Connectivity Patterns of Brain Network Hubs in Alzheimer's Disease

    Zhengjia Dai;Chaogan Yan;Kuncheng Li;Zhiqun Wang

  • Whole brain functional connectivity in the early blind

    Yong Liu;Chunshui Yu;Meng Liang;Jun Li

  • Cerebral and cerebellar gray matter reduction in first-episode patients with major depressive disorder: A voxel-based morphometry study

    Jing Peng;Jiangtao Liu;Binbin Nie;Yang Li

  • Spatial patterns of intrinsic brain activity in mild cognitive impairment and Alzheimer's disease: a resting-state functional MRI study.

    Zhiqun Wang;Chaogan Yan;Cheng Zhao;Zhigang Qi

  • A longitudinal diffusion tensor imaging study on Wallerian degeneration of corticospinal tract after motor pathway stroke.

    Chunshui Yu;Chaozhe Zhu;Yujin Zhang;Hai Chen

  • Thick visual cortex in the early blind

    Jiefeng Jiang;Wanlin Zhu;Wanlin Zhu;Feng Shi;Yong Liu

  • Effective connectivity of brain networks during self-initiated movement in Parkinson's disease.

    Tao Wu;Liang Wang;Mark Hallett;Yi Chen

  • Acupoint-specific fMRI patterns in human brain.

    Bin Yan;Ke Li;Jianyang Xu;Wei Wang

Frequent Co-Authors

Chunshui Yu
Chunshui Yu Tianjin Medical University General Hospital
Wen Qin
Wen Qin Tianjin Medical University General Hospital
Tianzi Jiang
Tianzi Jiang Chinese Academy of Sciences
Yong He
Yong He Beijing Normal University
Ni Shu
Ni Shu Beijing Normal University
Ning Zhong
Ning Zhong Maebashi Institute of Technology
Mingrui Xia
Mingrui Xia Beijing Normal University
Yong Liu
Yong Liu Beijing University of Posts and Telecommunications
Frederik Barkhof
Frederik Barkhof University College London
Helmut Butzkueven
Helmut Butzkueven Monash University

External Links

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Best Scientists Citing Kuncheng Li

Tianzi Jiang

Tianzi Jiang

Chinese Academy of Sciences

Publications: 116

Dinggang Shen

Dinggang Shen

ShanghaiTech University

Publications: 114

Yong He

Yong He

Beijing Normal University

Publications: 110

Chunshui Yu

Chunshui Yu

Tianjin Medical University General Hospital

Publications: 90

Jie Tian

Jie Tian

Chinese Academy of Sciences

Publications: 77

Qiyong Gong

Qiyong Gong

Sichuan University

Publications: 74

Vince D. Calhoun

Vince D. Calhoun

Georgia State University

Publications: 73

Michael P. Milham

Michael P. Milham

Child Mind Institute

Publications: 69

Xi-Nian Zuo

Xi-Nian Zuo

Beijing Normal University

Publications: 65

Yu-Feng Zang

Yu-Feng Zang

Hangzhou Normal University

Publications: 59

Massimo Filippi

Massimo Filippi

Vita-Salute San Raffaele University

Publications: 58

Hongzheng Chen

Hongzheng Chen

Zhejiang University

Publications: 57

Simon B. Eickhoff

Simon B. Eickhoff

Heinrich Heine University Düsseldorf

Publications: 57

Hesheng Liu

Hesheng Liu

Peking University

Publications: 55

Yong Liu

Yong Liu

Beijing University of Posts and Telecommunications

Publications: 54

Frederik Barkhof

Frederik Barkhof

University College London

Publications: 53

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