World's Best Scientists 2026 revealed!
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Electronics and Electrical Engineering
USA
2026

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
100
Citations
54271
World Ranking
175
National Ranking
86

Materials Science

D-Index
90
Citations
47821
World Ranking
1653
National Ranking
509

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.

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 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.

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.

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.

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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Related Online Degrees & Career Pathways

For those interested in expanding their expertise beyond traditional Electrical and Electronics Engineering, exploring related fields can open up diverse career pathways. One promising area is instructional design, where professionals develop educational technologies and training programs. Pursuing an online masters in instructional design can equip engineers with skills to design practical learning solutions for technical subjects.

Flexibility in learning is crucial, especially for adult learners and working professionals. Competency based programs emphasize mastering specific skills at your own pace, which is ideal for those with practical experience looking to advance without traditional semester constraints.

Military families often face unique challenges in accessing higher education, so finding institutions that support their needs is vital. Many online colleges for military spouses provide tailored resources and flexible formats to accommodate frequent relocations and variable schedules.

Additionally, to maintain momentum in education or career changes, options such as online colleges with weekly start dates offer continuous enrollment opportunities. This flexibility minimizes waiting times to begin courses, enabling students to start when they are ready and manage their learning alongside professional commitments.

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