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Electronics and Electrical Engineering
USA
2026

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 103 155 150 76 71 578 51224
Materials Science 97 1185 1135 384 356 532 45575

H.-S. Philip Wong publications per year

The chart shows the history of publications by H.-S. Philip Wong between 1992 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. H.-S. Philip Wong published across 34 years, from 1992 to 2025, averaging 20 papers a year. Output peaked at 63 publications in 2011. 35 of the 681 publications appeared in the last two years.

No. of publications
20 40 60
Bar chart. Horizontal axis: year, 1992 to 2025. Vertical axis: number of publications, 0 to 63. Peak 63 publications in 2011. 1992: 1 publication 1993: 2 publications 1994: 1 publication 1995: 2 publications 1996: 2 publications 1997: 3 publications 1998: 0 publications 1999: 1 publication 2000: 0 publications 2001: 2 publications 2002: 2 publications 2003: 3 publications 2004: 1 publication 2005: 3 publications 2006: 16 publications 2007: 23 publications 2008: 29 publications 2009: 34 publications 2010: 47 publications 2011: 63 publications 2012: 49 publications 2013: 39 publications 2014: 50 publications 2015: 39 publications 2016: 35 publications 2017: 39 publications 2018: 26 publications 2019: 33 publications 2020: 22 publications 2021: 17 publications 2022: 33 publications 2023: 29 publications 2024: 20 publications 2025: 15 publications
1992 2025

681 publications in total across all disciplines

View publications per year as a table
H.-S. Philip Wong: publications per year, 1992 to 2025
Year Publications
1992 1
1993 2
1994 1
1995 2
1996 2
1997 3
1998 0
1999 1
2000 0
2001 2
2002 2
2003 3
2004 1
2005 3
2006 16
2007 23
2008 29
2009 34
2010 47
2011 63
2012 49
2013 39
2014 50
2015 39
2016 35
2017 39
2018 26
2019 33
2020 22
2021 17
2022 33
2023 29
2024 20
2025 15
Total 681
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H.-S. Philip Wong 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 H.-S. Philip Wong 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, 574–593 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: 578 publications — 89th percentile

89% 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 58 578
594–613 69
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
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H.-S. Philip Wong 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 H.-S. Philip Wong 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, 103 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: 103 D-Index — 98th percentile

98% 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
92 14
93 9
94 15
95 10
96 12
97 10
98 10
99 12
100 16
101 5
102 7
103 7 103
104 8
105 9
106 13
107 4
108 5
109 10
110 8
111+ 96
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Research.com Recognitions

  • 2026 - Research.com Electronics and Electrical Engineering in United States Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in United States Leader Award

Overview

H.-S. Philip Wong is affiliated with Stanford University in the United States. Their research spans multiple areas within engineering and materials science, with a strong emphasis on electrical and electronic engineering and materials chemistry.

Their main fields of study are:

  • Engineering
  • Materials Science

Their work is further specialized in subfields including:

  • Electrical and Electronic Engineering
  • Materials Chemistry
  • Polymers and Plastics
  • Biomedical Engineering
  • Atomic and Molecular Physics, and Optics

Research topics that frequently appear in their publications include:

  • Advanced Memory and Neural Computing
  • Ferroelectric and Negative Capacitance Devices
  • Semiconductor materials and devices
  • Phase-change materials and chalcogenides
  • Advancements in Semiconductor Devices and Circuit Design
  • 2D Materials and Applications
  • Graphene research and applications

Frequent publication venues for their work include:

  • IEEE Transactions on Electron Devices
  • arXiv (Cornell University)
  • IEEE Electron Device Letters
  • 2022 International Electron Devices Meeting (IEDM)
  • 2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits)

H.-S. Philip Wong has collaborated regularly with several researchers such as Eric Pop, Iuliana Radu, Subhasish Mitra, Asir Intisar Khan, and Sheng-Kai Su.

Notable recent papers include:

  • A compute-in-memory chip based on resistive random-access memory, 2022, Nature
  • Wafer-scale single-crystal hexagonal boron nitride monolayers on Cu (111), 2020, Nature
  • Ultralow-switching current density multilevel phase-change memory on a flexible substrate, 2021, Science
  • Layered Semiconducting 2D Materials for Future Transistor Applications, 2021, Small Structures
  • Carbon nanotube transistors: Making electronics from molecules, 2022, Science

Best Publications

  • Metal–Oxide RRAM

    H-S P. Wong;Heng-Yuan Lee;Shimeng Yu;Yu-Sheng Chen

  • In-memory computing with resistive switching devices

    Daniele Ielmini;H.-S. Philip Wong

  • Graphene and two-dimensional materials for silicon technology.

    Deji Akinwande;Cedric Huyghebaert;Ching-Hua Wang;Martha I. Serna

  • MoS2 transistors with 1-nanometer gate lengths

    Sujay B. Desai;Sujay B. Desai;Surabhi R. Madhvapathy;Surabhi R. Madhvapathy;Angada B. Sachid;Angada B. Sachid;Juan Pablo Llinas;Juan Pablo Llinas

  • Nanoelectronic programmable synapses based on phase change materials for brain-inspired computing.

    Duygu Kuzum;Rakesh G. D. Jeyasingh;Byoungil Lee;H.-S. Philip Wong

  • CMOS scaling into the nanometer regime

    Yuan Taur;D.A. Buchanan;Wei Chen;D.J. Frank

  • Optoelectronic resistive random access memory for neuromorphic vision sensors.

    Feichi Zhou;Zheng Zhou;Jiewei Chen;Tsz Hin Choy

  • Carbon nanotube computer

    Max M. Shulaker;Gage Hills;Nishant Patil;Hai Wei

  • The End of Moore's Law: A New Beginning for Information Technology

    Thomas N. Theis;H.-S. Philip Wong

  • A Compact SPICE Model for Carbon-Nanotube Field-Effect Transistors Including Nonidealities and Its Application—Part I: Model of the Intrinsic Channel Region

    Unknown

  • Memory leads the way to better computing

    H.-S. Philip Wong;Sayeef Salahuddin

  • A Compact SPICE Model for Carbon-Nanotube Field-Effect Transistors Including Nonidealities and Its Application—Part II: Full Device Model and Circuit Performance Benchmarking

    Unknown

  • Face classification using electronic synapses

    Peng Yao;Huaqiang Wu;Bin Gao;Sukru Burc Eryilmaz

  • An Electronic Synapse Device Based on Metal Oxide Resistive Switching Memory for Neuromorphic Computation

    Shimeng Yu;Yi Wu;R. Jeyasingh;D. Kuzum

  • Three-dimensional integration of nanotechnologies for computing and data storage on a single chip

    Max M. Shulaker;Max M. Shulaker;Gage Hills;Rebecca S. Park;Roger T. Howe

  • Beyond the conventional transistor

    Unknown

  • Artificial optic-neural synapse for colored and color-mixed pattern recognition

    Seunghwan Seo;Seo Hyeon Jo;Sungho Kim;Jaewoo Shim

  • Recommended Methods to Study Resistive Switching Devices

    Mario Lanza;H.-S. Philip Wong;Eric Pop;Daniele Ielmini

  • Wafer-scale single-crystal hexagonal boron nitride monolayers on Cu (111)

    Tse An Chen;Chih Piao Chuu;Chien Chih Tseng;Chao Kai Wen

  • Electronic synapses made of layered two-dimensional materials

    Yuanyuan Shi;Yuanyuan Shi;Xianhu Liang;Bin Yuan;Victoria Chen

  • Continuous wireless pressure monitoring and mapping with ultra-small passive sensors for health monitoring and critical care

    Lisa Y. Chen;Benjamin C. K. Tee;Alex L. Chortos;Gregor Schwartz

  • A Low Energy Oxide‐Based Electronic Synaptic Device for Neuromorphic Visual Systems with Tolerance to Device Variation

    Shimeng Yu;Bin Gao;Zheng Fang;Hongyu Yu

  • Carbon Nanotube and Graphene Device Physics

    H. S. Philip Wong;Deji Akinwande

Frequent Co-Authors

Shimeng Yu
Shimeng Yu Georgia Institute of Technology
Eric Pop
Eric Pop Stanford University
Jinfeng Kang
Jinfeng Kang Peking University
Bin Gao
Bin Gao Xi'an Jiaotong University
Kenneth E. Goodson
Kenneth E. Goodson Stanford University
Mehdi Asheghi
Mehdi Asheghi Stanford University
Yoshio Nishi
Yoshio Nishi Stanford University
Krishna C. Saraswat
Krishna C. Saraswat Stanford University
S. Simon Wong
S. Simon Wong Stanford University
Deji Akinwande
Deji Akinwande The University of Texas at Austin

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