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
1654
National Ranking
510

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

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