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Hai Li

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 91 285 278 140 133 601 44316

Hai Li publications per year

The chart shows the history of publications by Hai Li between 2000 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Hai Li published across 27 years, from 2000 to 2026, averaging 31.7 papers a year. Output peaked at 68 publications in 2019. 43 of the 856 publications appeared in the last two years.

No. of publications
20 40 60
Bar chart. Horizontal axis: year, 2000 to 2026. Vertical axis: number of publications, 0 to 68. Peak 68 publications in 2019. 2000: 1 publication 2001: 0 publications 2002: 3 publications 2003: 3 publications 2004: 2 publications 2005: 4 publications 2006: 4 publications 2007: 6 publications 2008: 18 publications 2009: 28 publications 2010: 42 publications 2011: 39 publications 2012: 52 publications 2013: 33 publications 2014: 45 publications 2015: 35 publications 2016: 47 publications 2017: 59 publications 2018: 57 publications 2019: 68 publications 2020: 56 publications 2021: 67 publications 2022: 46 publications 2023: 53 publications 2024: 45 publications 2025: 41 publications 2026: 2 publications
2000 2026

856 publications in total across all disciplines

View publications per year as a table
Hai Li: publications per year, 2000 to 2026
Year Publications
2000 1
2001 0
2002 3
2003 3
2004 2
2005 4
2006 4
2007 6
2008 18
2009 28
2010 42
2011 39
2012 52
2013 33
2014 45
2015 35
2016 47
2017 59
2018 57
2019 68
2020 56
2021 67
2022 46
2023 53
2024 45
2025 41
2026 2
Total 856
Download as CSV

Hai Li publications per year - data summary

  • Hai Li, a Electronics and Electrical Engineering scholar from Duke University, has 856 publications recorded across 27 years, from 2000 to 2026.
  • The oldest publication on record dates to 2000 and the most recent to 2026.
  • The most productive year is 2019, with 68 publications.
  • The least productive year with any output is 2000, with 1 publication.
  • 1 of the 27 years in the span carries no publications at all (2001).
  • The rate of publication averages 31.7 papers per year over the whole span, or 32.9 per year counting only the 26 years with at least one publication.
  • The last 5 years on the chart (2022-2026) hold 187 publications, 22% of the career total.
  • Split into equal eras - 2000-2008: 41 publications (4.6 per year); 2009-2017: 380 publications (42.2 per year); 2018-2026: 435 publications (48.3 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

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.

No. of scientists
100 200 300 400
Bar chart with 53 bars. Horizontal axis: publications, 34–53 to 1,065+. Vertical axis: number of scientists, 0 to 445. Most scientists, 445, have 174–193 publications. The last bar groups every scientist with 1,065 publications or more. The highlighted bar, 594–613 publications, is where this scientist sits. 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: 445 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
34–53 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.

View publications distribution as a table
Number of Electronics and Electrical Engineering scientists by publication count, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
Publications Scientists This scientist
34–53 24
54–73 52
74–93 114
94–113 203
114–133 269
134–153 355
154–173 403
174–193 445
194–213 430
214–233 431
234–253 399
254–273 366
274–293 335
294–313 300
314–333 276
334–353 250
354–373 214
374–393 187
394–413 152
414–433 169
434–453 147
454–473 111
474–493 117
494–513 103
514–533 99
534–553 92
554–573 75
574–593 58
594–613 69 601
614–633 50
634–653 62
654–673 54
674–693 44
694–713 37
714–733 28
734–753 26
754–773 26
774–793 19
794–813 23
814–833 20
834–853 16
854–873 20
874–893 11
894–913 11
914–933 16
934–953 13
954–973 10
974–993 11
994–1,013 9
1,014–1,033 9
1,034–1,053 10
1,054–1,064 6
1,065+ 99
Download as CSV

Hai Li publication distribution in Electronics and Electrical Engineering in 2026 - data summary

  • The chart plots the publication count of all 6,875 Electronics and Electrical Engineering scientists ranked by Research.com in 2026, grouped into 53 ranges running from 34–53 to 1,065+ publications.
  • Hai Li, a Electronics and Electrical Engineering scholar from Duke University, records 601 publications - the 90th percentile of the discipline.
  • 90% of ranked Electronics and Electrical Engineering scientists score the same or lower than Hai Li, and about 10% score higher.
  • The median of the discipline falls in the 254–273 publications range, and Hai Li ranks above the median.
  • The most crowded range is 174–193 publications, holding 445 scientists (6% of the field).
  • 60% of the field sits in the lowest quarter of the value range (up to 294–313 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 1,065 publications or more, 99 scientists in all (1% of the field).

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.

No. of scientists
50 100 150 200 250
Bar chart with 82 bars. Horizontal axis: D-Index, 30 to 111+. Vertical axis: number of scientists, 0 to 263. Most scientists, 263, have 32 D-Index. The last bar groups every scientist with 111 D-Index or more. The highlighted bar, 91 D-Index, is where this scientist sits. 30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 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.

View D-Index distribution as a table
Number of Electronics and Electrical Engineering scientists by D-index, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
D-Index Scientists This scientist
30 178
31 257
32 263
33 262
34 244
35 236
36 211
37 220
38 214
39 214
40 205
41 187
42 194
43 201
44 155
45 189
46 148
47 160
48 134
49 130
50 141
51 156
52 108
53 130
54 112
55 97
56 111
57 102
58 108
59 120
60 103
61 93
62 92
63 74
64 77
65 73
66 64
67 69
68 60
69 39
70 57
71 59
72 46
73 49
74 38
75 35
76 32
77 35
78 31
79 22
80 34
81 31
82 34
83 23
84 18
85 30
86 19
87 19
88 20
89 8
90 17
91 7 91
92 14
93 9
94 15
95 10
96 12
97 10
98 10
99 12
100 16
101 5
102 7
103 7
104 8
105 9
106 13
107 4
108 5
109 10
110 8
111+ 96
Download as CSV

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

  • The chart plots the discipline H-index (D-index) of all 6,875 Electronics and Electrical Engineering scientists ranked by Research.com in 2026, grouped into 82 ranges running from 30 to 111+ D-Index.
  • Hai Li, a Electronics and Electrical Engineering scholar from Duke University, records 91 D-Index - the 96th percentile of the discipline.
  • 96% of ranked Electronics and Electrical Engineering scientists score the same or lower than Hai Li, and about 4% score higher.
  • The median of the discipline falls in the 46 D-Index range, and Hai Li ranks above the median.
  • The most crowded range is 32 D-Index, holding 263 scientists (4% of the field).
  • 60% of the field sits in the lowest quarter of the value range (up to 50 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 111 D-Index or more, 96 scientists in all (1% of the field).

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
Miao Hu
Miao Hu Binghamton University
Weng-Fai Wong
Weng-Fai Wong National University of Singapore
Kaushik Roy
Kaushik Roy Purdue University West Lafayette
Cheng-Kok Koh
Cheng-Kok Koh Purdue University West Lafayette
J. Joshua Yang
J. Joshua Yang University of Southern California
Guangyu Sun
Guangyu Sun Peking University
Xuehai Qian
Xuehai Qian Tsinghua University
Qinru Qiu
Qinru Qiu Syracuse University
Krishnendu Chakrabarty
Krishnendu Chakrabarty Arizona State University

External Links

Personal website of Hai Li Google Scholar page

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Related Online Degrees & Career Pathways

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Additionally, project management skills are increasingly valuable. Pursuing the fastest online project management degree can accelerate your ability to lead technical teams and manage complex engineering projects effectively.

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