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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 100 175 169 86 80 512 54271
Materials Science 90 1653 1588 509 475 480 47821

J. Joshua Yang publications per year

The chart shows the history of publications by J. Joshua Yang between 1976 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. J. Joshua Yang published across 51 years, from 1976 to 2026, averaging 15.6 papers a year. Output peaked at 82 publications in 2026. 136 of the 795 publications appeared in the last two years.

No. of publications
20 40 60 80
Bar chart. Horizontal axis: year, 1976 to 2026. Vertical axis: number of publications, 0 to 82. Peak 82 publications in 2026. 1976: 6 publications 1977: 3 publications 1978: 5 publications 1979: 2 publications 1980: 2 publications 1981: 0 publications 1982: 1 publication 1983: 1 publication 1984: 0 publications 1985: 1 publication 1986: 0 publications 1987: 0 publications 1988: 0 publications 1989: 0 publications 1990: 0 publications 1991: 0 publications 1992: 1 publication 1993: 1 publication 1994: 0 publications 1995: 0 publications 1996: 0 publications 1997: 0 publications 1998: 0 publications 1999: 6 publications 2000: 3 publications 2001: 12 publications 2002: 7 publications 2003: 4 publications 2004: 5 publications 2005: 16 publications 2006: 11 publications 2007: 6 publications 2008: 19 publications 2009: 33 publications 2010: 44 publications 2011: 34 publications 2012: 27 publications 2013: 34 publications 2014: 52 publications 2015: 31 publications 2016: 36 publications 2017: 39 publications 2018: 50 publications 2019: 38 publications 2020: 39 publications 2021: 27 publications 2022: 16 publications 2023: 22 publications 2024: 25 publications 2025: 54 publications 2026: 82 publications
1976 2026

795 publications in total across all disciplines

View publications per year as a table
J. Joshua Yang: publications per year, 1976 to 2026
Year Publications
1976 6
1977 3
1978 5
1979 2
1980 2
1981 0
1982 1
1983 1
1984 0
1985 1
1986 0
1987 0
1988 0
1989 0
1990 0
1991 0
1992 1
1993 1
1994 0
1995 0
1996 0
1997 0
1998 0
1999 6
2000 3
2001 12
2002 7
2003 4
2004 5
2005 16
2006 11
2007 6
2008 19
2009 33
2010 44
2011 34
2012 27
2013 34
2014 52
2015 31
2016 36
2017 39
2018 50
2019 38
2020 39
2021 27
2022 16
2023 22
2024 25
2025 54
2026 82
Total 795
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J. Joshua Yang 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 J. Joshua Yang 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, 494–513 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: 512 publications — 85th percentile

85% 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
494–513 103 512
514–533 99
534–553 92
554–573 75
574–593 58
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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J. Joshua Yang 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 J. Joshua Yang 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, 100 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: 100 D-Index — 97th percentile

97% 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 16 100
101 5
102 7
103 7
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

J. Joshua Yang is affiliated with the University of Southern California in the United States. Their research output spans multiple areas within engineering and chemistry, with a focus on membrane technology, materials science, and environmental applications.

The scientist has contributed notably to the following main fields of study:

  • Engineering
  • Chemistry

Within these domains, their subfields of study include:

  • Mechanical Engineering
  • Inorganic Chemistry
  • Materials Chemistry
  • Biomedical Engineering
  • Water Science and Technology

Yang's primary research topics cover a range of advanced material and membrane technologies, specifically:

  • Membrane Separation and Gas Transport
  • Zeolite Catalysis and Synthesis
  • Membrane Separation Technologies
  • Mesoporous Materials and Catalysis
  • Metal-Organic Frameworks: Synthesis and Applications
  • Membrane-based Ion Separation Techniques
  • Asphalt Pavement Performance Evaluation

Their recent published papers include:

  • "Comprehensive review on the application of bio-rejuvenator in the regeneration of waste asphalt materials", 2021, Construction and Building Materials
  • "A comprehensive review of bio-oil, bio-binder and bio-asphalt materials: Their source, composition, preparation and performance", 2022, Journal of Traffic and Transportation Engineering (English Edition)
  • "Progress in pervaporation membranes for dehydration of acetic acid", 2021, Separation and Purification Technology
  • "Multi-task deep learning model for quantitative volatile organic compounds analysis by feature fusion of electronic nose sensing", 2024, Sensors and Actuators B Chemical
  • "Microwave synthesis of NaA zeolite membranes on coarse macroporous α-Al2O3 tubes for desalination", 2020, Microporous and Mesoporous Materials

The venues where Yang frequently publishes include:

  • Journal of Membrane Science
  • SSRN Electronic Journal
  • Microporous and Mesoporous Materials
  • GCdataPR
  • ACS Sensors

Collaborators who have co-authored several publications with Yang are:

  • Jinming Lu
  • Hammad Saulat
  • Yan Zhang
  • Waseem Raza
  • Gaohong He

Best Publications

  • Memristive devices for computing

    J. Joshua Yang;Dmitri B. Strukov;Duncan R. Stewart

  • Memristive switching mechanism for metal/oxide/metal nanodevices.

    J. Joshua Yang;Matthew D. Pickett;Xuema Li;Douglas A. A. Ohlberg

  • Memristors with diffusive dynamics as synaptic emulators for neuromorphic computing

    Zhongrui Wang;Saumil Joshi;Sergey E. Savel’ev;Hao Jiang

  • ‘Memristive’ switches enable ‘stateful’ logic operations via material implication

    Julien Borghetti;Gregory S. Snider;Philip J. Kuekes;J. Joshua Yang

  • Fully hardware-implemented memristor convolutional neural network

    Peng Yao;Huaqiang Wu;Bin Gao;Jianshi Tang

  • Memristive crossbar arrays for brain-inspired computing

    Qiangfei Xia;J. Joshua Yang

  • Analogue signal and image processing with large memristor crossbars

    Can Li;Miao Hu;Miao Hu;Yunning Li;Hao Jiang

  • Resistive switching materials for information processing

    Zhongrui Wang;Huaqiang Wu;Geoffrey W. Burr;Cheol Seong Hwang

  • The mechanism of electroforming of metal oxide memristive switches

    J Joshua Yang;Feng Miao;Matthew D Pickett;Douglas A A Ohlberg

  • Fully memristive neural networks for pattern classification with unsupervised learning

    Zhongrui Wang;Saumil Joshi;Sergey Savel’ev;Wenhao Song

  • Switching dynamics in titanium dioxide memristive devices

    Matthew D. Pickett;Dmitri B. Strukov;Julien L. Borghetti;J. Joshua Yang

  • Efficient and self-adaptive in-situ learning in multilayer memristor neural networks

    Can Li;Daniel Belkin;Daniel Belkin;Yunning Li;Peng Yan;Peng Yan

  • Memristor―CMOS Hybrid Integrated Circuits for Reconfigurable Logic

    Qiangfei Xia;Warren Robinett;Michael W. Cumbie;Neel Banerjee

  • Bridging Biological and Artificial Neural Networks with Emerging Neuromorphic Devices: Fundamentals, Progress, and Challenges.

    Jianshi Tang;Fang Yuan;Xinke Shen;Zhongrui Wang

  • Robust memristors based on layered two-dimensional materials

    Miao Wang;Songhua Cai;Chen Pan;Chenyu Wang

  • High switching endurance in TaOx memristive devices

    J. Joshua Yang;M.-X. Zhang;John Paul Strachan;Feng Miao

  • Memristor-Based Analog Computation and Neural Network Classification with a Dot Product Engine.

    Miao Hu;Catherine E. Graves;Can Li;Yunning Li

  • Dot-product engine for neuromorphic computing: programming 1T1M crossbar to accelerate matrix-vector multiplication

    Miao Hu;John Paul Strachan;Zhiyong Li;Emmanuelle M. Grafals

  • Parallel programming of an ionic floating-gate memory array for scalable neuromorphic computing.

    Elliot J. Fuller;Scott T. Keene;Armantas Melianas;Zhongrui Wang

  • Recommended Methods to Study Resistive Switching Devices

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

  • Anatomy of a nanoscale conduction channel reveals the mechanism of a high-performance memristor.

    Feng Miao;John Paul Strachan;J. Joshua Yang;Min-Xian Zhang

Frequent Co-Authors

R. Stanley Williams
R. Stanley Williams Texas A&M University
Qiangfei Xia
Qiangfei Xia University of Massachusetts Amherst
John Paul Strachan
John Paul Strachan Hewlett-Packard (United States)
Zhiyong Li
Zhiyong Li Chinese Academy of Sciences
Matthew D. Pickett
Matthew D. Pickett Hewlett-Packard (United States)
Feng Miao
Feng Miao Nanjing University
Gilberto Medeiros-Ribeiro
Gilberto Medeiros-Ribeiro Universidade Federal de Minas Gerais
Qing Wu
Qing Wu United States Air Force Research Laboratory
Miao Hu
Miao Hu Binghamton University
Wei Wu
Wei Wu Wuhan University

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