World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

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

Weixiang Shen 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 Weixiang Shen 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: 195 publications — 28th percentile

28% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Weixiang Shen 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 Weixiang Shen 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: 65 D-Index — 83rd percentile

83% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

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

Ajay Kapoor
Ajay Kapoor Swinburne University of Technology
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

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