World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
91
Citations
44316
World Ranking
285
National Ranking
139

Hai Li publication distribution in Electronics and Electrical Engineering in 2026

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

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 446 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 601 publications — 90th percentile

90% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Hai Li D-index placement in Electronics and Electrical Engineering in 2026

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

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 263 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 91 D-Index — 96th percentile

96% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Research.com Recognitions

  • 2019 - IEEE Fellow For contributions to neuromorphic computing systems
  • 2017 - ACM Distinguished Member
  • 2016 - ACM Senior Member

Overview

Hai Li is affiliated with Duke University in the United States and has a substantial body of research primarily within the fields of Computer Science and Engineering. Their work spans key subfields such as Artificial Intelligence, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Aerospace Engineering, and Signal Processing.

Their research focuses on various specialized topics, including:

  • Advanced Memory and Neural Computing
  • Ferroelectric and Negative Capacitance Devices
  • Adversarial Robustness in Machine Learning
  • Advanced Neural Network Applications
  • Privacy-Preserving Technologies in Data
  • Anomaly Detection Techniques and Applications
  • Domain Adaptation and Few-Shot Learning

Hai Li has published numerous scholarly articles, with frequent appearances in venues such as arXiv (Cornell University), IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on Circuits and Systems I Regular Papers, ACM Transactions on Embedded Computing Systems, and IEEE Design and Test.

Selected recent papers include:

  • A novel hybrid MCDM model for machine tool selection using fuzzy DEMATEL, entropy weighting and later defuzzification VIKOR, 2020, Applied Soft Computing
  • An Overview of Hardware Security and Trust: Threats, Countermeasures, and Design Tools, 2020, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • A 1.041-Mb/mm2 27.38-TOPS/W Signed-INT8 Dynamic-Logic-Based ADC-less SRAM Compute-in-Memory Macro in 28nm with Reconfigurable Bitwise Operation for AI and Embedded Applications, 2022, 2022 IEEE International Solid-State Circuits Conference (ISSCC)
  • FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • A hybrid piezoelectric-electromagnetic wave energy harvester based on capsule structure for self-powered applications in sea-crossing bridges, 2021, Renewable Energy

Collaboration is a significant component of Hai Li's research, with frequent co-authors including Yiran Chen, Zutao Zhang, Janardhan Rao Doppa, Partha Pratim Pande, and Krishnendu Chakrabarty.

Recognition of Hai Li's contributions includes distinctions such as being named an IEEE Fellow in 2019 for contributions to neuromorphic computing systems, as well as honors from the Association for Computing Machinery (ACM) as a Distinguished Member in 2017 and a Senior Member in 2016.

Best Publications

  • Single-Layer MoS2 Phototransistors

    Zongyou Yin;Hai Li;Hong Li;Lin Jiang

  • Growth of Large-Area and Highly Crystalline MoS2 Thin Layers on Insulating Substrates

    Keng Ku Liu;Wenjing Zhang;Yi Hsien Lee;Yu Chuan Lin

  • Single‐Layer Semiconducting Nanosheets: High‐Yield Preparation and Device Fabrication

    Zhiyuan Zeng;Zongyou Yin;Xiao Huang;Hai Li

  • Perovskite light-emitting diodes based on spontaneously formed submicrometre-scale structures

    Yu Cao;Nana Wang;He Tian;Jingshu Guo

  • Preparation and Applications of Mechanically Exfoliated Single-Layer and Multilayer MoS2 and WSe2 Nanosheets

    Hai Li;Jumiati Wu;Zongyou Yin;Hua Zhang

  • Fabrication of Single‐ and Multilayer MoS2 Film‐Based Field‐Effect Transistors for Sensing NO at Room Temperature

    Hai Li;Zongyou Yin;Qiyuan He;Hong Li

  • Single-Layer MoS2-Based Nanoprobes for Homogeneous Detection of Biomolecules

    Changfeng Zhu;Zhiyuan Zeng;Hai Li;Fan Li

  • Fabrication of flexible MoS2 thin-film transistor arrays for practical gas-sensing applications.

    Qiyuan He;Zhiyuan Zeng;Zongyou Yin;Hai Li

  • Black Phosphorus Quantum Dots

    Xiao Zhang;Haiming Xie;Zhengdong Liu;Zhengdong Liu;Chaoliang Tan

  • Mechanical Exfoliation and Characterization of Single- and Few-Layer Nanosheets of WSe2, TaS2, and TaSe2

    Hai Li;Gang Lu;Yanlong Wang;Zongyou Yin

  • Centimeter-Long and Large-Scale Micropatterns of Reduced Graphene Oxide Films: Fabrication and Sensing Applications

    Qiyuan He;Herry Gunadi Sudibya;Zongyou Yin;Shixin Wu

  • Rapid and reliable thickness identification of two-dimensional nanosheets using optical microscopy.

    Hai Li;Jumiati Wu;Xiao Huang;Gang Lu

  • Spintronic Memristor Through Spin-Torque-Induced Magnetization Motion

    Xiaobin Wang;Yiran Chen;Haiwen Xi;Hai Li

  • Memristor Crossbar-Based Neuromorphic Computing System: A Case Study

    Miao Hu;Hai Li;Yiran Chen;Qing Wu

  • Circuit and microarchitecture evaluation of 3D stacking magnetic RAM (MRAM) as a universal memory replacement

    Xiangyu Dong;Xiaoxia Wu;Guangyu Sun;Yuan Xie

  • Optical Identification of Single- and Few-Layer MoS2 Sheets

    Hai Li;Gang Lu;Zongyou Yin;Qiyuan He

  • Single-layer transition metal dichalcogenide nanosheet-based nanosensors for rapid, sensitive, and multiplexed detection of DNA

    Ying Zhang;Ying Zhang;Bing Zheng;Changfeng Zhu;Xiao Zhang

  • Transparent, Flexible, All-Reduced Graphene Oxide Thin Film Transistors

    Qiyuan He;Shixin Wu;Shuang Gao;Xiehong Cao

  • Layer thinning and etching of mechanically exfoliated MoS2 nanosheets by thermal annealing in air.

    Jumiati Wu;Hai Li;Zongyou Yin;Hong Li

  • Multi retention level STT-RAM cache designs with a dynamic refresh scheme

    Zhenyu Sun;Xiuyuan Bi;Hai (Helen) Li;Weng-Fai Wong

  • Dynamic Ultralong Organic Phosphorescence by Photoactivation.

    Long Gu;Huifang Shi;Mingxing Gu;Kun Ling

  • Surface enhanced Raman scattering of Ag or Au nanoparticle-decorated reduced graphene oxide for detection of aromatic molecules

    Gang Lu;Hai Li;Cipto Liusman;Zongyou Yin

Frequent Co-Authors

Qing Wu
Qing Wu United States Air Force Research Laboratory
Cheng-Kok Koh
Cheng-Kok Koh Purdue University West Lafayette
Kaushik Roy
Kaushik Roy Purdue University West Lafayette
J. Joshua Yang
J. Joshua Yang University of Southern California
Weisheng Zhao
Weisheng Zhao Beihang University
Garrett S. Rose
Garrett S. Rose University of Tennessee at Knoxville
Krishnendu Chakrabarty
Krishnendu Chakrabarty Arizona State University
Tong Zhang
Tong Zhang Rensselaer Polytechnic Institute
Yuan Xie
Yuan Xie Hong Kong University of Science and Technology
Tingwen Huang
Tingwen Huang Shenzhen Institutes of Advanced Technology

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