World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
47
Citations
11602
World Ranking
4754
National Ranking
926

Guanglin Li publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Guanglin Li sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 362 publications — 85th percentile

85% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Guanglin Li D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Guanglin Li sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 47 D-Index — 52nd percentile

52% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Guanglin Li is affiliated with the Chinese Academy of Sciences in China. Their research encompasses fields such as engineering and neuroscience, with a particular focus on several subfields including biomedical engineering, cognitive neuroscience, cellular and molecular neuroscience, electrical and electronic engineering, and surgery.

The scientist's work broadly spans multiple main topics including muscle activation and electromyography studies, EEG and brain-computer interfaces, advanced sensor and energy harvesting materials, neuroscience and neural engineering, tactile and sensory interactions, stroke rehabilitation and recovery, and prosthetics and rehabilitation robotics.

Guanglin Li has contributed to numerous scholarly publications. Some recent papers include:

  • A universal interface for plug-and-play assembly of stretchable devices, 2023, published in Nature
  • A Transformer-Based Approach Combining Deep Learning Network and Spatial-Temporal Information for Raw EEG Classification, 2022, published in IEEE Transactions on Neural Systems and Rehabilitation Engineering
  • Three-dimensional flexible electronics using solidified liquid metal with regulated plasticity, 2023, published in Nature Electronics
  • Water-responsive supercontractile polymer films for bioelectronic interfaces, 2023, published in Nature
  • EEG-Based Epileptic Seizure Detection via Machine/Deep Learning Approaches: A Systematic Review, 2022, published in Computational Intelligence and Neuroscience

Their frequent coauthors include Zhiyuan Liu, Oluwarotimi Williams Samuel, Peng Fang, Shixiong Chen, and Xiangxin Li.

Guanglin Li has published extensively in prominent venues, with multiple contributions in:

  • IEEE Transactions on Neural Systems and Rehabilitation Engineering
  • Biomedical Signal Processing and Control
  • SSRN Electronic Journal
  • Journal of Neural Engineering
  • Frontiers in Neuroscience

Best Publications

  • Targeted muscle reinnervation for real-time myoelectric control of multifunction artificial arms.

    Todd A. Kuiken;Guanglin Li;Blair A. Lock;Robert D. Lipschutz

  • Quadruple H-Bonding Cross-Linked Supramolecular Polymeric Materials as Substrates for Stretchable, Antitearing, and Self-Healable Thin Film Electrodes

    Xuzhou Yan;Zhiyuan Liu;Qiuhong Zhang;Qiuhong Zhang;Jeffrey Lopez

  • Quantifying Pattern Recognition—Based Myoelectric Control of Multifunctional Transradial Prostheses

    Guanglin Li;Aimee E Schultz;Todd A Kuiken

  • Pattern recognition of electromyography signals based on novel time domain features for amputees' limb motion classification☆

    Oluwarotimi Williams Samuel;Hui Zhou;Xiangxin Li;Hui Wang

  • An integrated decision support system based on ANN and Fuzzy_AHP for heart failure risk prediction

    Oluwarotimi Williams Samuel;Grace Mojisola Asogbon;Arun Kumar Sangaiah;Peng Fang

  • A Transformer-Based Approach Combining Deep Learning Network and Spatial-Temporal Information for Raw EEG Classification

    Unknown

  • Principal Components Analysis Preprocessing for Improved Classification Accuracies in Pattern-Recognition-Based Myoelectric Control

    L.J. Hargrove;Guanglin Li;K.B. Englehart;B.S. Hudgins

  • Decoding a new neural-machine interface for control of artificial limbs

    Ping Zhou;Madeleine M. Lowery;Madeleine M. Lowery;Kevin B Englehart;He Huang

  • An Analysis of EMG Electrode Configuration for Targeted Muscle Reinnervation Based Neural Machine Interface

    He Huang;Ping Zhou;Guanglin Li;T.A. Kuiken

  • Toward attenuating the impact of arm positions on electromyography pattern-recognition based motion classification in transradial amputees

    Yanjuan Geng;Ping Zhou;Guanglin Li

  • Fuzzy Approximation-Based Adaptive Backstepping Control of an Exoskeleton for Human Upper Limbs

    Zhijun Li;Chun-Yi Su;Guanglin Li;Hang Su

  • EEG-Based Epileptic Seizure Detection via Machine/Deep Learning Approaches: A Systematic Review

    Unknown

  • A motion-classification strategy based on sEMG-EEG signal combination for upper-limb amputees

    Xiangxin Li;Oluwarotimi Williams Samuel;Xu Zhang;Xu Zhang;Hui Wang

  • A joint resource-aware and medical data security framework for wearable healthcare systems

    Sandeep Pirbhulal;Oluwarotimi Williams Samuel;Wanqing Wu;Arun Kumar Sangaiah

  • Intelligent EMG Pattern Recognition Control Method for Upper-Limb Multifunctional Prostheses: Advances, Current Challenges, and Future Prospects

    Oluwarotimi Williams Samuel;Mojisola Grace Asogbon;Yanjuan Geng;Ali H. Al-Timemy

  • Noninvasive imaging of cardiac transmembrane potentials within three-dimensional myocardium by means of a realistic geometry anisotropic heart model

    Bin He;Guanglin Li;Xin Zhang

  • Optimization of signal quality over comfortability of textile electrodes for ECG monitoring in fog computing based medical applications

    Wanqing Wu;Sandeep Pirbhulal;Arun Kumar Sangaiah;Subhas Chandra Mukhopadhyay

  • Highly Stable and Stretchable Conductive Films through Thermal-Radiation-Assisted Metal Encapsulation.

    Zhiyuan Liu;Hui Wang;Pingao Huang;Jianping Huang

  • Development of Sensory-Motor Fusion-Based Manipulation and Grasping Control for a Robotic Hand-Eye System

    Yingbai Hu;Zhijun Li;Guanglin Li;Peijiang Yuan

  • Localization of the site of origin of cardiac activation by means of a heart-model-based electrocardiographic imaging approach

    G. Li;B. He

  • Segmentation of Brain Tissues from Magnetic Resonance Images Using Adaptively Regularized Kernel-Based Fuzzy C-Means Clustering

    Ahmed Elazab;Changmiao Wang;Fucang Jia;Jianhuang Wu

  • Conditioning and Sampling Issues of EMG Signals in Motion Recognition of Multifunctional Myoelectric Prostheses

    Guanglin Li;Yaonan Li;Long Yu;Yanjuan Geng

Frequent Co-Authors

Hui Wang
Hui Wang Chinese Academy of Sciences
Bin He
Bin He Carnegie Mellon University
Sandeep Pirbhulal
Sandeep Pirbhulal Norwegian University of Science and Technology
Yuan-Ting Zhang
Yuan-Ting Zhang City University of Hong Kong
Hui Zhou
Hui Zhou Huazhong University of Science and Technology
Arun Kumar Sangaiah
Arun Kumar Sangaiah National Yunlin University of Science and Technology
Todd A. Kuiken
Todd A. Kuiken Northwestern University
Zhiyuan Liu
Zhiyuan Liu Shenzhen Institutes of Advanced Technology
Subhas Chandra Mukhopadhyay
Subhas Chandra Mukhopadhyay Macquarie University
Zhijun Li
Zhijun Li Tongji University

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