World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
41
Citations
6092
World Ranking
7901
National Ranking
123

Li Hu 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 Li Hu 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: 141 publications — 38th percentile

38% of scientists in this discipline score the same or lower.

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

Li Hu 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 Li Hu 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: 41 D-Index — 19th percentile

19% of scientists in this discipline score the same or lower.

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

Overview

Li Hu is affiliated with the Chinese Academy of Sciences in China and focuses their research primarily within Neuroscience and Medicine. Their work spans several subfields, including Cognitive Neuroscience, Physiology, Social Psychology, Neurology, and Clinical Psychology.

Their research addresses diverse topics, notably EEG and Brain-Computer Interfaces, Pain Mechanisms and Treatments, Functional Brain Connectivity Studies, Pain Management and Placebo Effect, Neural dynamics and brain function, Musculoskeletal pain and rehabilitation, and Neural and Behavioral Psychology Studies.

Selected recent publications demonstrate the breadth of their research interests. These include:

  • Transcutaneous Electrical Nerve Stimulation in Relieving Neuropathic Pain: Basic Mechanisms and Clinical Applications, 2020, Current Pain and Headache Reports
  • Post-traumatic stress symptoms in COVID-19 survivors: a self-report and brain imaging follow-up study, 2021, Molecular Psychiatry
  • Deficits in ascending and descending pain modulation pathways in patients with postherpetic neuralgia, 2020, NeuroImage
  • The Neural Origin of Nociceptive-Induced Gamma-Band Oscillations, 2020, Journal of Neuroscience
  • Gamma-band oscillations of pain and nociception: A systematic review and meta-analysis of human and rodent studies, 2023, Neuroscience & Biobehavioral Reviews

Frequent co-authors collaborating with Li Hu include Xuejing Lu, Geqi Qi, Xuedong Yan, Peihao Li, and Libo Zhang. These collaborations reflect a consistent research network contributing to related scientific inquiries and publications.

Publication venues where Li Hu has contributed regularly include Zenodo (CERN European Organization for Nuclear Research), NeuroImage, Brain Science Advances, Cerebral Cortex, and bioRxiv (Cold Spring Harbor Laboratory). Zenodo is noted as the most frequent venue.

Best Publications

  • Gamma-Band Oscillations in the Primary Somatosensory Cortex—A Direct and Obligatory Correlate of Subjective Pain Intensity

    Z G Zhang;L Hu;Y S Hung;André Mouraux

  • A CRISPR–Cas9-triggered strand displacement amplification method for ultrasensitive DNA detection

    Wenhua Zhou;Li Hu;Liming Ying;Zhen Zhao

  • EEG signal processing and feature extraction

    Hu L(胡理)

  • A novel approach for enhancing the signal-to-noise ratio and detecting automatically event-related potentials (ERPs) in single trials

    Li Hu;André Mouraux;Yong Hu;Gian Domenico Iannetti;Gian Domenico Iannetti

  • Primary sensory cortices contain distinguishable spatial patterns of activity for each sense

    M. Liang;André Mouraux;L. Hu;G.D. Iannetti

  • Neural indicators of perceptual variability of pain across species.

    L. Hu;G. D. Iannetti;G. D. Iannetti

  • Single-trial time–frequency analysis of electrocortical signals: Baseline correction and beyond

    Li Hu;P. Xiao;Zhiguo Zhang;André Mouraux

  • A novel approach to predict subjective pain perception from single-trial laser-evoked potentials

    Gan Huang;P. Xiao;Y. S. Hung;Gian Domenico Iannetti

  • The primary somatosensory cortex largely contributes to the early part of the cortical response elicited by nociceptive stimuli.

    Elia Valentini;Li Hu;Li Hu;Bhismadev Chakrabarti;Bhismadev Chakrabarti;Yong Hu

  • Emotional primes modulate the responses to others’ pain: an ERP study

    Jing Meng;Li Hu;Lin Shen;Zhou Yang

  • Pain perception in the self and observation of others: An ERP investigation

    Jing Meng;Todd Jackson;Hong Chen;Li Hu

  • Changes of spontaneous oscillatory activity to tonic heat pain.

    Weiwei Peng;Li Hu;Zhiguo Zhang;Yong Hu

  • Alpha and gamma oscillation amplitudes synergistically predict the perception of forthcoming nociceptive stimuli.

    Yiheng Tu;Zhiguo Zhang;Ao Tan;Weiwei Peng

  • Functional features of nociceptive-induced suppression of alpha band electroencephalographic oscillations.

    Li Hu;Weiwei Peng;Elia Valentini;Zhiguo Zhang

  • Neurobiological mechanisms of TENS-induced analgesia.

    W. W. Peng;Z. Y. Tang;F. R. Zhang;H. Li

  • Transcutaneous Electrical Nerve Stimulation in Relieving Neuropathic Pain: Basic Mechanisms and Clinical Applications.

    Tahmineh Mokhtari;Qiaoyue Ren;Nuo Li;Faguang Wang

  • Exercise for Neuropathic Pain: A Systematic Review and Expert Consensus

    Unknown

  • The voice of conscience: neural bases of interpersonal guilt and compensation

    Hongbo Yu;Jie Hu;Li Hu;Xiaolin Zhou

  • Human Brain Responses to Concomitant Stimulation of Aδ and C Nociceptors

    L. Hu;M. M. Cai;P. Xiao;F. Luo

  • Causality in the association between p300 and alpha event-related desynchronization

    Weiwei Peng;Li Hu;Zhiguo Zhang;Yong Hu

  • A time-varying source connectivity approach to reveal human somatosensory information processing.

    Li Hu;Zhiguo Zhang;Yong Hu

  • Painful Issues in Pain Prediction

    Li Hu;Li Hu;Li Hu;Gian Domenico Iannetti

  • The primary somatosensory cortex largely contributes to the early part of the cortical response elicited by nociceptive stimuli

    L Hu;E Valentini;B Chakrabarti;SM Aglioti

Frequent Co-Authors

Gian Domenico Iannetti
Gian Domenico Iannetti University College London
Yong Hu
Yong Hu University of Hong Kong
André Mouraux
André Mouraux Université Catholique de Louvain
Meng Liang
Meng Liang Tianjin Medical University
Todd Jackson
Todd Jackson University of Macau
Salvatore Maria Aglioti
Salvatore Maria Aglioti Sapienza University of Rome
Hong Chen
Hong Chen Southwest University
William Forde Thompson
William Forde Thompson Bond University
Xiaolin Zhou
Xiaolin Zhou Peking University
Bhismadev Chakrabarti
Bhismadev Chakrabarti University of Reading

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