World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
61
Citations
13374
World Ranking
3107
National Ranking
416

Overview

Bo Zhang is affiliated with Tsinghua University in China. Their research primarily focuses on Engineering, with significant contributions in Electrical and Electronic Engineering, Control and Systems Engineering, and related subfields. The scope of their work also extends to Computer Vision and Pattern Recognition, Automotive Engineering, and Mechanical Engineering.

The scientist has authored numerous papers on topics such as Advanced DC-DC Converters, Multilevel Inverters and Converters, Wireless Power Transfer Systems, Microgrid Control and Optimization, Energy Harvesting in Wireless Networks, Silicon Carbide Semiconductor Technologies, and Advanced Battery Technologies Research.

Bo Zhang's frequent co-authors include Dongyuan Qiu, Yanfeng Chen, Fan Xie, Wenxun Xiao, and Xujian Shu.

Their work has been published predominantly in the following venues:

  • IEEE Transactions on Power Electronics
  • IEEE Transactions on Industrial Electronics
  • International Journal of Circuit Theory and Applications
  • IEEE Journal of Emerging and Selected Topics in Power Electronics
  • IEEE Transactions on Circuits & Systems II Express Briefs

Recent papers authored by or involving Bo Zhang include:

  • "Efficiency Improvement of the Parity-Time-Symmetric Wireless Power Transfer System for Electric Vehicle Charging" (2020), IEEE Transactions on Power Electronics
  • "Extended-Distance Wireless Power Transfer System With Constant Output Power and Transfer Efficiency Based on Parity-Time-Symmetric Principle" (2021), IEEE Transactions on Power Electronics
  • "Position-Independent Constant Current or Constant Voltage Wireless Electric Vehicles Charging System Without Dual-Side Communication and DC-DC Converter" (2021), IEEE Transactions on Industrial Electronics
  • "Flexible Combination and Switching Control for Robust Wireless Power Transfer System With Hexagonal Array Coil" (2020), IEEE Transactions on Power Electronics
  • "A Compact EMI Filter Design by Reducing the Common-Mode Inductance With Chaotic PWM Technique" (2021), IEEE Transactions on Power Electronics

Bo Zhang has contributed to books published by Springer Nature, including:

  • Fractional-Order Electrical Circuit Theory (2021)
  • Parity-Time Symmetric Wireless Power Transfer (2025)

Best Publications

  • A Formal Study of Shot Boundary Detection

    Jinhui Yuan;Huiyi Wang;Lan Xiao;Wujie Zheng

  • Triple Generative Adversarial Nets

    Chongxuan Li;Taufik Xu;Jun Zhu;Bo Zhang

  • StatSnowball: a statistical approach to extracting entity relationships

    Jun Zhu;Zaiqing Nie;Xiaojiang Liu;Bo Zhang

  • Support vector machine learning for image retrieval

    Lei Zhang;Fuzong Lin;Bo Zhang

  • Theory and Applications of Problem Solving

    B. Zhang;L. Zhang

  • Dynamic player groups for interest management in multi-character virtual environments

    Bo Zhang;Baining Guo;Heung-Yeung Shum

  • An efficient and effective region-based image retrieval framework

    Feng Jing;Mingjing Li;Hong-Jiang Zhang;Bo Zhang

  • Triple Generative Adversarial Nets

    Chongxuan Li;Kun Xu;Jun Zhu;Bo Zhang

  • Smooth Neighbors on Teacher Graphs for Semi-Supervised Learning

    Yucen Luo;Jun Zhu;Mengxi Li;Yong Ren

  • Simultaneous record detection and attribute labeling in web data extraction

    Jun Zhu;Zaiqing Nie;Ji-Rong Wen;Bo Zhang

  • User-Level Privacy-Preserving Federated Learning: Analysis and Performance Optimization

    Kang Wei;Jun Li;Ming Ding;Chuan Ma

  • Disease Inference from Health-Related Questions via Sparse Deep Learning

    Liqiang Nie;Meng Wang;Luming Zhang;Shuicheng Yan

  • The quotient space theory of problem solving

    Ling Zhang;Bo Zhang

  • 2D Conditional Random Fields for Web information extraction

    Jun Zhu;Zaiqing Nie;Ji-Rong Wen;Bo Zhang

  • A geometrical representation of McCulloch-Pitts neural model and its applications

    Ling Zhang;Bo Zhang

  • Learning in region-based image retrieval

    Feng Jing;Mingjing Li;Lei Zhang;Hong-Jiang Zhang

  • Hierarchical Part Matching for Fine-Grained Visual Categorization

    Lingxi Xie;Qi Tian;Richang Hong;Shuicheng Yan

  • Image Classification and Retrieval are ONE

    Lingxi Xie;Richang Hong;Bo Zhang;Qi Tian

  • Towards network triangle inequality violation aware distributed systems

    Guohui Wang;Bo Zhang;T. S. Eugene Ng

  • Relevance feedback in region-based image retrieval

    Feng Jing;Mingjing Li;Hong-Jiang Zhang;Bo Zhang

Frequent Co-Authors

Jun Zhu
Jun Zhu Tsinghua University
Xiaolin Hu
Xiaolin Hu Tsinghua University
Qi Tian
Qi Tian Huawei Technologies (China)
Dong Wang
Dong Wang Dalian University of Technology
Lingxi Xie
Lingxi Xie Huawei Technologies (China)
Mingjing Li
Mingjing Li Microsoft (United States)
Lei Zhang
Lei Zhang International Digital Economy Academy
Ji-Rong Wen
Ji-Rong Wen Renmin University of China
Shuicheng Yan
Shuicheng Yan National University of Singapore

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

Studying Computer Science in the USA opens many versatile online education and career pathways. For those looking to branch into engineering, there are accredited online electrical engineering programs that provide flexibility and industry-recognized credentials.

If you're seeking rapid entry into the workforce, explore short certificate programs that pay well. These targeted certificates allow you to gain job-ready skills in as little as a few months and are ideal for supplementing your primary degree or switching careers.

For further specialization, consider online graduate degrees. Some students opt for the fastest masters degree online programs, which let you earn an advanced credential in as little as a year, helping you stand out in the competitive tech job market.

When deciding your next step, review the most in demand masters degrees to ensure your studies align with top market needs. This can help maximize both your employment prospects and earning potential after graduation.

Best Scientists Citing Bo Zhang

Trending Scientists

Recently Published Articles