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Engineering and Technology

D-Index
45
Citations
6393
World Ranking
5618
National Ranking
1083

Overview

Zijun Zhang is a researcher affiliated with City University of Hong Kong in China, with a focus primarily in the fields of Engineering and Medicine. The body of their work spans a variety of subfields such as Electrical and Electronic Engineering, Artificial Intelligence, Materials Chemistry, Control and Systems Engineering, and Mechanical Engineering.

Their publications concentrate on topics including:

  • Energy Load and Power Forecasting
  • Machine Fault Diagnosis Techniques
  • Anomaly Detection Techniques and Applications
  • Solar Radiation and Photovoltaics
  • Advanced Battery Technologies Research
  • Ocular Surface and Contact Lens
  • Infrastructure Maintenance and Monitoring

Zijun Zhang's recent papers include:

  • "Early prediction of battery lifetime via a machine learning based framework" (2021), published in Energy
  • "A Conditional Convolutional Autoencoder-Based Method for Monitoring Wind Turbine Blade Breakages" (2020), published in IEEE Transactions on Industrial Informatics
  • "Hyaluronic acid and HA-modified cationic liposomes for promoting skin penetration and retention" (2023), published in Journal of Controlled Release
  • "Short-term predictions of multiple wind turbine power outputs based on deep neural networks with transfer learning" (2020), published in Energy
  • "Wind Turbine Gearbox Failure Detection Based on SCADA Data: A Deep Learning-Based Approach" (2020), published in IEEE Transactions on Instrumentation and Measurement

The venues where Zijun Zhang frequently publishes span a range of journals and preprint archives, including:

  • IEEE Internet of Things Journal
  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Foot & Ankle Orthopaedics
  • Energy

Collaboration is a notable aspect of Zhang's work, with frequent coauthors being:

  • Kwok-Leung Tsui
  • Luoxiao Yang
  • Long Wang
  • Lew C. Schon
  • Guanbin Gao

The range of Zhang's research reflects interdisciplinary engagement, particularly at the intersection of engineering disciplines and medical science. Their work in machine learning techniques applied to energy systems and fault diagnosis, as well as biomedical delivery systems, demonstrates a diverse portfolio.

Best Publications

  • Wind Turbine Gearbox Failure Identification With Deep Neural Networks

    Long Wang;Zijun Zhang;Huan Long;Jia Xu

  • Automatic Detection of Wind Turbine Blade Surface Cracks Based on UAV-Taken Images

    Long Wang;Zijun Zhang

  • A data-driven approach for steam load prediction in buildings

    Andrew Kusiak;Mingyang Li;Zijun Zhang

  • Early prediction of battery lifetime via a machine learning based framework

    Zicheng Fei;Fangfang Yang;Kwok-Leung Tsui;Lishuai Li

  • Short-Term Wind Speed Forecasting via Stacked Extreme Learning Machine With Generalized Correntropy

    Xiong Luo;Jiankun Sun;Long Wang;Weiping Wang

  • Prediction, operations, and condition monitoring in wind energy

    Andrew Kusiak;Zijun Zhang;Anoop Verma

  • A Prediction Model-Guided Jaya Algorithm for the PV System Maximum Power Point Tracking

    Chao Huang;Long Wang;Ryan Shun-Cheung Yeung;Zijun Zhang

  • Short-Term Electricity Price Forecasting With Stacked Denoising Autoencoders

    Long Wang;Zijun Zhang;Jieqiu Chen

  • Fault Analysis and Condition Monitoring of the Wind Turbine Gearbox

    Zijun Zhang;A. Verma;A. Kusiak

  • Analysis of daily solar power prediction with data-driven approaches

    Huan Long;Zijun Zhang;Yan Su

  • Short-Horizon Prediction of Wind Power: A Data-Driven Approach

    A Kusiak;Zijun Zhang

  • Differential Evolution With a New Encoding Mechanism for Optimizing Wind Farm Layout

    Yong Wang;Hao Liu;Huan Long;Zijun Zhang

  • Wind Turbine Blade Breakage Monitoring With Deep Autoencoders

    Long Wang;Zijun Zhang;Jia Xu;Ruihua Liu

  • Predictive modeling and optimization of a multi-zone HVAC system with data mining and firefly algorithms

    Yaohui Zeng;Zijun Zhang;Andrew Kusiak

  • Short-term wind speed forecasting with Markov-switching model

    Zhe Song;Yu Jiang;Zijun Zhang

  • Minimization of energy consumption in HVAC systems with data-driven models and an interior-point method

    Andrew Kusiak;Guanglin Xu;Zijun Zhang

  • Hybrid Ensemble Deep Learning for Deterministic and Probabilistic Low-Voltage Load Forecasting

    Zhaojing Cao;Can Wan;Zijun Zhang;Furong Li

  • Performance optimization of HVAC systems with computational intelligence algorithms

    Xiaofei He;Zijun Zhang;Andrew Kusiak

  • Modeling and optimization of a wastewater pumping system with data-mining methods

    Zijun Zhang;Andrew Kusiak;Yaohui Zeng;Xiupeng Wei

  • Minimizing pump energy in a wastewater processing plant

    Zijun Zhang;Yaohui Zeng;Andrew Kusiak

Frequent Co-Authors

Andrew Kusiak
Andrew Kusiak University of Iowa
Kwok-Leung Tsui
Kwok-Leung Tsui Virginia Tech
Xiong Luo
Xiong Luo University of Science and Technology Beijing
Alain Bensoussan
Alain Bensoussan The University of Texas at Dallas
Henry Shu-Hung Chung
Henry Shu-Hung Chung City University of Hong Kong
Yan-Fu Li
Yan-Fu Li Tsinghua University
Yang Zhao
Yang Zhao Beijing Institute of Technology
Furong Li
Furong Li University of Bath
Yonghua Song
Yonghua Song University of Macau
Jinsong Wu
Jinsong Wu Wuhan University of Technology

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