World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
65
Citations
13370
World Ranking
1241
National Ranking
47

Overview

Weixiang Shen is affiliated with Swinburne University of Technology in Australia and has a research focus predominantly within the field of Engineering. Their work spans several subfields, with notable contributions in Electrical and Electronic Engineering, Automotive Engineering, Control and Systems Engineering, Mechanical Engineering, and Computer Vision and Pattern Recognition.

Their research topics reflect a strong emphasis on battery technologies and related areas. These include:

  • Advanced Battery Technologies Research
  • Advancements in Battery Materials
  • Advanced Battery Materials and Technologies
  • Electric Vehicles and Infrastructure
  • Fault Detection and Control Systems
  • Microgrid Control and Optimization
  • Fuel Cells and Related Materials

Weixiang Shen has published extensively, with frequent contributions to leading venues such as Applied Energy, Journal of Energy Storage, IEEE Transactions on Transportation Electrification, IEEE Transactions on Power Electronics, and SSRN Electronic Journal. The number of publications in these venues ranges from 6 to 14, indicating consistent engagement with these journals and conferences.

Their recent papers include the following:

  • "Lithium-ion battery aging mechanisms and diagnosis method for automotive applications: Recent advances and perspectives," 2020, Renewable and Sustainable Energy Reviews
  • "Deep neural network battery charging curve prediction using 30 points collected in 10 min," 2021, Joule
  • "State-of-charge estimation of LiFePO4 batteries in electric vehicles: A deep-learning enabled approach," 2021, Applied Energy
  • "State-of-Health Estimation Based on Differential Temperature for Lithium Ion Batteries," 2020, IEEE Transactions on Power Electronics
  • "Battery state-of-charge estimation amid dynamic usage with physics-informed deep learning," 2022, Energy Storage Materials

Their collaborative network includes frequent co-authors such as Rui Xiong, Ruohan Guo, Cungang Hu, Jinpeng Tian, and Fengchun Sun, with co-authorship counts ranging from 15 to 45 papers. These collaborations suggest active partnerships particularly around battery technology research.

Best Publications

  • Lithium-ion battery aging mechanisms and diagnosis method for automotive applications: Recent advances and perspectives

    Rui Xiong;Yue Pan;Weixiang Shen;Hailong Li

  • State-of-charge estimation of LiFePO4 batteries in electric vehicles: A deep-learning enabled approach

    Jinpeng Tian;Rui Xiong;Weixiang Shen;Jiahuan Lu

  • A Lithium-Ion Battery-in-the-Loop Approach to Test and Validate Multiscale Dual H Infinity Filters for State-of-Charge and Capacity Estimation

    Cheng Chen;Rui Xiong;Weixiang Shen

  • Deep neural network battery charging curve prediction using 30 points collected in 10 min

    Jinpeng Tian;Rui Xiong;Weixiang Shen;Jiahuan Lu

  • State-of-Health Estimation Based on Differential Temperature for Lithium Ion Batteries

    Jinpeng Tian;Rui Xiong;Weixiang Shen

  • Single-Phase Uninterruptible Power Supply Based on Z-Source Inverter

    Zhi Jian Zhou;Xing Zhang;Po Xu;W.X. Shen

  • Review of mechanical design and strategic placement technique of a robust battery pack for electric vehicles

    Shashank Arora;Weixiang Shen;Ajay Kapoor

  • Flexible battery state of health and state of charge estimation using partial charging data and deep learning

    Unknown

  • A Novel Fractional Order Model for State of Charge Estimation in Lithium Ion Batteries

    Rui Xiong;Jinpeng Tian;Weixiang Shen;Fengchun Sun

  • A Sensor Fault Diagnosis Method for a Lithium-Ion Battery Pack in Electric Vehicles

    Rui Xiong;Quanqing Yu;Weixiang Shen;Cheng Lin

  • State-of-charge estimation of lithium-ion battery using an improved neural network model and extended Kalman filter

    Cheng Chen;Rui Xiong;Ruixin Yang;Ruixin Yang;Weixiang Shen

  • Lithium-Ion Battery Pack State of Charge and State of Energy Estimation Algorithms Using a Hardware-in-the-Loop Validation

    Yongzhi Zhang;Rui Xiong;Hongwen He;Weixiang Shen

  • Optimally sizing of solar array and battery in a standalone photovoltaic system in Malaysia

    W.X. Shen

  • A novel approach for state of charge estimation based on adaptive switching gain sliding mode observer in electric vehicles

    Xiaopeng Chen;Weixiang Shen;Zhenwei Cao;Ajay Kapoor

  • Towards a smarter battery management system: A critical review on optimal charging methods of lithium ion batteries

    Qian Lin;Jun Wang;Rui Xiong;Weixiang Shen

  • Lithium-Ion Battery Parameters and State-of-Charge Joint Estimation Based on H-Infinity and Unscented Kalman Filters

    Quanqing Yu;Rui Xiong;Cheng Lin;Weixiang Shen

  • Online Fault Diagnosis of External Short Circuit for Lithium-Ion Battery Pack

    Rui Xiong;Ruixin Yang;Zeyu Chen;Weixiang Shen

  • A novel multi-model probability battery state of charge estimation approach for electric vehicles using H-infinity algorithm

    Cheng Lin;Hao Mu;Rui Xiong;Weixiang Shen

  • Charging algorithms of lithium-ion batteries: An overview

    Weixiang Shen;Thanh Tu Vo;Ajay Kapoor

  • Robust Adaptive Sliding-Mode Observer Using RBF Neural Network for Lithium-Ion Battery State of Charge Estimation in Electric Vehicles

    Xiaopeng Chen;Weixiang Shen;Mingxiang Dai;Zhenwei Cao

  • An overview of lithium-ion batteries for electric vehicles

    Xiaopeng Chen;Weixiang Shen;Thanh Tu Vo;Zhenwei Cao

Frequent Co-Authors

Rui Xiong
Rui Xiong Beijing Institute of Technology
Zhenwei Cao
Zhenwei Cao Swinburne University of Technology
Hemanshu R. Pota
Hemanshu R. Pota University of New South Wales
Amanullah M. T. Oo
Amanullah M. T. Oo Macquarie University
Jinchuan Zheng
Jinchuan Zheng Swinburne University of Technology
Fengchun Sun
Fengchun Sun Beijing Institute of Technology
Zhihong Man
Zhihong Man Swinburne University of Technology
C.C. Chan
C.C. Chan University of Hong Kong
Xinghuo Yu
Xinghuo Yu RMIT University
K. T. Chau
K. T. Chau Hong Kong Polytechnic University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For those pursuing a career in Electronics and Electrical Engineering, exploring online degrees for military spouses can be a flexible and supportive option. These programs offer tailored schedules and resources, helping students balance education with other commitments.

Starting your education at the right time is crucial. Many institutions provide online colleges starting soon, allowing learners to enroll without long waiting periods, which is ideal for those eager to begin or continue their training promptly.

In addition to traditional degrees, quick skill acquisition is possible through quick certifications that pay well. These programs focus on in-demand skills, boosting employability and income potential in a short period.

For introverts interested in the field, finding suitable career paths is essential. Many roles in Electronics and Electrical Engineering can be well-suited for those seeking introvert jobs, offering focused environments and independent work that maximize strengths.

Best Scientists Citing Weixiang Shen

Trending Scientists

Recently Published Articles