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Kaiming Li

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Neuroscience 37 8802 8129 136 133 101 5501

Kaiming Li publications per year

The chart shows the history of publications by Kaiming Li between 2007 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Kaiming Li published across 19 years, from 2007 to 2025, averaging 6.2 papers a year. Output peaked at 14 publications in 2010. 7 of the 117 publications appeared in the last two years.

No. of publications
5 10
Bar chart. Horizontal axis: year, 2007 to 2025. Vertical axis: number of publications, 0 to 14. Peak 14 publications in 2010. 2007: 2 publications 2008: 2 publications 2009: 3 publications 2010: 14 publications 2011: 13 publications 2012: 12 publications 2013: 14 publications 2014: 12 publications 2015: 5 publications 2016: 3 publications 2017: 3 publications 2018: 4 publications 2019: 4 publications 2020: 4 publications 2021: 7 publications 2022: 2 publications 2023: 6 publications 2024: 3 publications 2025: 4 publications
2007 2025

117 publications in total across all disciplines

View publications per year as a table
Kaiming Li: publications per year, 2007 to 2025
Year Publications
2007 2
2008 2
2009 3
2010 14
2011 13
2012 12
2013 14
2014 12
2015 5
2016 3
2017 3
2018 4
2019 4
2020 4
2021 7
2022 2
2023 6
2024 3
2025 4
Total 117
Download as CSV

Kaiming Li publications per year - data summary

  • Kaiming Li, a Neuroscience scholar from Sichuan University, has 117 publications recorded across 19 years, from 2007 to 2025.
  • The oldest publication on record dates to 2007 and the most recent to 2025.
  • The most productive years are 2010 and 2013, with 14 publications each.
  • The least productive years with any output are 2007, 2008 and 2022, with 2 publications each.
  • The rate of publication averages 6.2 papers per year over the whole span, or 6.2 per year counting only the 19 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 22 publications, 19% of the career total.
  • Split into equal eras - 2007-2013: 60 publications (8.6 per year); 2014-2020: 35 publications (5.0 per year); 2021-2025: 22 publications (4.4 per year).
  • Comparing the opening and closing eras, the overall trend of publication is declining.

Kaiming 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 Kaiming 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, 98–107 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: 101 publications — 17th percentile

17% 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
98–107 539 101
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
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

Kaiming Li publication distribution in Neuroscience in 2026 - data summary

  • The chart plots the publication count of all 9,597 Neuroscience scientists ranked by Research.com in 2026, grouped into 86 ranges running from 38–47 to 887+ publications.
  • Kaiming Li, a Neuroscience scholar from Sichuan University, records 101 publications - the 17th percentile of the discipline.
  • 17% of ranked Neuroscience scientists score the same or lower than Kaiming Li, and about 83% score higher.
  • The median of the discipline falls in the 158–167 publications range, and Kaiming Li ranks below the median.
  • The most crowded range is 98–107 publications, holding 539 scientists (6% of the field).
  • 76% of the field sits in the lowest quarter of the value range (up to 248–257 publications), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 887 publications or more, 100 scientists in all (1% of the field).

Kaiming 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 Kaiming 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, 36–37 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: 37 D-Index — 10th percentile

10% 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 37
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
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

Kaiming Li D-index placement in Neuroscience in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 9,597 Neuroscience scientists ranked by Research.com in 2026, grouped into 68 ranges running from 30–31 to 163+ D-Index.
  • Kaiming Li, a Neuroscience scholar from Sichuan University, records 37 D-Index - the 10th percentile of the discipline.
  • 10% of ranked Neuroscience scientists score the same or lower than Kaiming Li, and about 90% score higher.
  • The median of the discipline falls in the 54–55 D-Index range, and Kaiming Li ranks below the median.
  • The most crowded range is 46–47 D-Index, holding 512 scientists (5% of the field).
  • 65% of the field sits in the lowest quarter of the value range (up to 62–63 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 163 D-Index or more, 100 scientists in all (1% of the field).

Overview

Kaiming Li is affiliated with Sichuan University in China and has contributed extensively to the field of engineering, with a primary focus on aerospace, electrical and electronic, and biomedical engineering. Their publication record includes significant work in areas such as advanced synthetic aperture radar (SAR) imaging techniques, radar systems and signal processing, and advancements in battery materials and technologies.

The scientist has published papers in a variety of journals and conferences, frequently appearing in venues such as Remote Sensing, IEEE Sensors Journal, IEEE Transactions on Aerospace and Electronic Systems, IEEE Geoscience and Remote Sensing Letters, and the Journal of Power Electronics.

Their research topics encompass:

  • Advanced SAR Imaging Techniques
  • Radar Systems and Signal Processing
  • Sparse and Compressive Sensing Techniques
  • Advanced Battery Materials and Technologies
  • Advancements in Battery Materials
  • Microwave Imaging and Scattering Analysis
  • Underwater Acoustics Research

Some of the recent publications include:

  • "Gas-Sensing Performances of Metal Oxide Nanostructures for Detecting Dissolved Gases: A Mini Review," 2020, Frontiers in Chemistry
  • "Low-Cost Gel Polymer Electrolyte for High-Performance Aluminum-Ion Batteries," 2021, ACS Applied Materials & Interfaces
  • "Robust lithium storage of block copolymer-templated mesoporous TiNb2O7 and TiNb2O7@C anodes evaluated in half-cell and full-battery configurations," 2021, Electrochimica Acta
  • "A reliable gel polymer electrolyte enables stable cycling of rechargeable aluminum batteries in a wide-temperature range," 2021, Journal of Power Sources
  • "Experimental study and multi-objective optimization for drip irrigation of grapes in arid areas of northwest China," 2020, Agricultural Water Management

Kaiming Li frequently collaborates with several researchers, including Qun Zhang, Ying Luo, Huan Wang, Yuanpeng Zhang, and Haobo Wang, with multiple joint publications reflecting sustained academic partnerships.

Best Publications

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

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

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

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

  • Review of methods for functional brain connectivity detection using fMRI

    Kaiming Li;Lei Guo;Jingxin Nie;Gang Li

  • Disrupted intrinsic functional brain topology in patients with major depressive disorder.

    Hong Yang;Xiao Chen;Zuo Bing Chen;Le Li

  • Representing and Retrieving Video Shots in Human-Centric Brain Imaging Space

    Junwei Han;Xiang Ji;Xintao Hu;Dajiang Zhu

  • DICCCOL: Dense Individualized and Common Connectivity-Based Cortical Landmarks

    Dajiang Zhu;Kaiming Li;Kaiming Li;Lei Guo;Xi Jiang

  • Disrupted brain network topology in pediatric posttraumatic stress disorder: A resting-state fMRI study.

    Xueling Suo;Du Lei;Kaiming Li;Fuqin Chen

  • Disrupted Functional Brain Connectome in Patients with Posttraumatic Stress Disorder.

    Du Lei;Kaiming Li;Lingjiang Li;Fuqin Chen

  • Microstructural brain abnormalities in medication-free patients with major depressive disorder: a systematic review and meta-analysis of diffusion tensor imaging.

    Jing Jiang;You-Jin Zhao;Xin-Yu Hu;Ming-Ying Du

  • Axonal Fiber Terminations Concentrate on Gyri

    Jingxin Nie;Lei Guo;Kaiming Li;Kaiming Li;Yonghua Wang

  • Altered resting-state dynamic functional brain networks in major depressive disorder: Findings from the REST-meta-MDD consortium

    Yicheng Long;Hengyi Cao;Chaogan Yan;Xiao Chen

  • Complex span tasks and hippocampal recruitment during working memory

    Carlos Cesar Faraco;Nash Unsworth;Jason Langley;Doug Terry

  • Biotypes of major depressive disorder: Neuroimaging evidence from resting-state default mode network patterns.

    Sugai Liang;Wei Deng;Xiaojing Li;Andrew J. Greenshaw

  • Predicting Functional Cortical ROIs via DTI-Derived Fiber Shape Models

    Tuo Zhang;Lei Guo;Kaiming Li;Kaiming Li;Changfeng Jing

  • Connectome-scale assessments of structural and functional connectivity in MCI.

    Dajiang Zhu;Kaiming Li;Douglas P. Terry;A. Nicholas Puente

  • Coevolution of Gyral Folding and Structural Connection Patterns in Primate Brains

    Hanbo Chen;Tuo Zhang;Tuo Zhang;Lei Guo;Kaiming Li;Kaiming Li

  • Characterization of U-shape streamline fibers: Methods and applications

    Tuo Zhang;Hanbo Chen;Lei Guo;Kaiming Li

  • Optimization of functional brain ROIs via maximization of consistency of structural connectivity profiles

    Dajiang Zhu;Kaiming Li;Kaiming Li;Carlos Cesar Faraco;Fan Deng

  • Graph convolutional network for fMRI analysis based on connectivity neighborhood.

    Lebo Wang;Kaiming Li;Xiaoping P Hu

  • Gyral folding pattern analysis via surface profiling.

    Kaiming Li;Lei Guo;Gang Li;Jingxin Nie

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

    Randy L. Buckner;Vince D. Calhoun;F. Xavier Castellanos;Antao Chen

Frequent Co-Authors

Tianming Liu
Tianming Liu University of Georgia
Dajiang Zhu
Dajiang Zhu The University of Texas at Arlington
Lei Guo
Lei Guo Beijing University of Posts and Telecommunications
Xintao Hu
Xintao Hu Northwestern Polytechnical University
Qiyong Gong
Qiyong Gong Sichuan University
Junwei Han
Junwei Han Northwestern Polytechnical University
Jiang Qiu
Jiang Qiu Southwest University
Gang Li
Gang Li University of North Carolina at Chapel Hill
L. Stephen Miller
L. Stephen Miller University of Georgia
Wenbin Guo
Wenbin Guo Central South University

External Links

Personal website of Kaiming Li

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Best Scientists Citing Kaiming Li

Tianming Liu

Tianming Liu

University of Georgia

Publications: 141

Qiyong Gong

Qiyong Gong

Sichuan University

Publications: 65

Dinggang Shen

Dinggang Shen

ShanghaiTech University

Publications: 62

Lei Guo

Lei Guo

Beijing University of Posts and Telecommunications

Publications: 60

Dajiang Zhu

Dajiang Zhu

The University of Texas at Arlington

Publications: 54

Michael P. Milham

Michael P. Milham

Child Mind Institute

Publications: 54

Xintao Hu

Xintao Hu

Northwestern Polytechnical University

Publications: 49

Junwei Han

Junwei Han

Northwestern Polytechnical University

Publications: 45

John A. Sweeney

John A. Sweeney

University of Cincinnati

Publications: 42

Vince D. Calhoun

Vince D. Calhoun

Georgia State University

Publications: 41

Xi-Nian Zuo

Xi-Nian Zuo

Beijing Normal University

Publications: 31

R. Cameron Craddock

R. Cameron Craddock

Facebook (United States)

Publications: 28

Ting Xu

Ting Xu

University of California, Davis

Publications: 25

Su Lui

Su Lui

Sichuan University

Publications: 24

Lingjiang Li

Lingjiang Li

Central South University

Publications: 24

Joshua T. Vogelstein

Joshua T. Vogelstein

Johns Hopkins University

Publications: 24

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Yuanyue Liu

Yuanyue Liu

The University of Texas at Austin

Zhou Gui

Zhou Gui

University of Science and Technology of China

D.I. Givens

D.I. Givens

University of Reading

Patrick C. L. Heaven

Patrick C. L. Heaven

Australian Catholic University

David A. Clark

David A. Clark

University of New Brunswick

Astrid Van Wieringen

Astrid Van Wieringen

KU Leuven

Steven P. R. Rose

Steven P. R. Rose

The Open University

Patrizia Sabatelli

Patrizia Sabatelli

National Research Council (CNR)

Yumi Matsuzaki

Yumi Matsuzaki

Shimane University

Monica M. Grady

Monica M. Grady

The Open University

Jean-Christophe Castella

Jean-Christophe Castella

Institut de Recherche pour le Développement

Rae-Hong Park

Rae-Hong Park

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Susumu Kitagawa

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Harry DeAngelo

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