Bocheng Bao

Doctor of Engineering, Professor

School of Information Science and Engineering, Changzhou University


Bocheng Bao (Member, IEEE) received the B.S. and M.S. degrees in electronic engineering from the University of Electronics Science and Technology of China, Chengdu, China, in 1986 and 1989, respectively, and the Ph.D. degree in information and communication engineering, from the Nanjing University of Science and Technology, Nanjing, China, in 2010.

From 2008 to 2011, he was a Professor with the School of Electrical and Information Engineering, Jiangsu University of Technology, Changzhou, China. He was a Professor with the School of Microelectronics and Control Engineering, Changzhou University, Changzhou, China. In 2013, he visited the Department of Electrical and Computer Engineering, University of Calgary, Calgary, AB, Canada. His research interests include neuromorphic circuits, power electronic circuits, and nonlinear circuits and systems.

Dr. Bao was a recipient of the IET Premium Award in 2018 and selected as the Highly Cited Researcher 2020, 2021, 2022, and 2023 in Cross-Field.


  • Senior Visiting Scholar
    Department of Electrical Engineering, University of Calgary, Canada

  • Doctor of Engineering in Information and Communication Engineering
    Nanjing University of Science and Technology, China

  • Master of Engineering in Signals, Circuits and Systems
    University of Electronic Science and Technology, China

  • Bachelor of Engineering, Department of Electrical Engineering
    Chengdu Telecommunication Engineering College, China


  • Professor, Master Supervisor
    Changzhou University, China

  • Senior Engineer
    Jiangsu University of Technology and Education, China

  • Manager
    China Communication Systems Ltd., China

  • CEO
    Changzhou Bocheng Electronics Co., China

  • Engineer
    Changzhou Electronic Computer Factory, China


The research includes memoristor simulators and circuits, multi-stability and reduced-dimensional reconstruction, and memoristor neuromorphic electrical networks.

  1. Fangyuan Li, Zhuguan Chen, Yunzhen Zhang, Lianfa Bai, Bocheng Bao*, “Cascade tri-neuron Hopfield neural network: Dynamical analysis and analog circuit implementation,” AEÜ-International Journal of Electronics and Communications, 2024 (Jan.), 174: 155037.
  2. Han Bao, Zhouwu Wang, Zhongyun Hua, Xihong Yu, Quan Xu, Bocheng Bao*, “Initial-offset-control coexisting hyperchaos in two-dimensional discrete neuron model,” IEEE Transactions on Industrial Informatics, accept, doi: 10.1109/TII.2023.3327566.
  3. Mo Chen, Xuefeng Luo, Yunzheng Zhang, Huagan Wu, Quan Xu, Bocheng Bao*, “Initial-boosted behaviors and synchronization of memristor-coupled memristive systems,” IEEE Transactions on Circuits and Systems I: Regular Papers, 2023, doi: 10.1109/TCSI.2023.3326341.
  4. Bocheng Bao, Jingting Hu, Han Bao*, Quan Xu, Mo Chen, “Memristor-coupled dual-neuron mapping model initials-induced coexisting firing patterns and synchronization activities,” Cognitive Neurodynamics, 2023, s11571-023-10006-8.
  5. Han Bao, Zhuguan Chen, Mo Chen, Quan Xu, Bocheng Bao*, “Memristive-cyclic Hopfield neural network: Spatial multi-scroll chaotic attractors and spatial initial-offset coexisting behaviors,” Nonlinear Dynamics, 2023, *: *. DOI: 10.1007/s11071-023- 08993-8
  6. Han Bao, Kexin Li, Jun Ma, Zhongyun Hua, Quan Xu, Bocheng Bao*, “Memristive effects on an improved discrete Rulkov neuron model,” Science China Technological Sciences, 2023, 66(11): 3153-3163.
  7. Xi Zhang, Dahui Lu, Han Bao, Xiaohui Qu, Yihua Hu, Bocheng Bao*, “Stability analysis of cascaded converter via equivalent modeling of feedforward ripple,” IEEE Transactions on Power Electronics, 2023, 38(10): 12907-12921. doi: 10.1109/TPEL.2023.3296417.
  8. Han Bao, Mengjie Hua, Jun Ma, Mo Chen, Bocheng Bao*, “Offset-control plane coexisting behaviors in two-memristor-based Hopfield neural network,” IEEE Transactions on Industrial Electronics, 2023, 70(10): 10526-10535. doi: 10.1109/TIE.2022.3222607.
  9. Yang Gu, Han Bao, Quan Xu, Xi Zhang, Bocheng Bao*, “Cascaded bi-memristor hyperchaotic map,” IEEE Transactions on Circuits and Systems -II: Express Briefs, 2023, 70(8): 3109-3113.
  10. Han Bao, Xihong Yu, Quan Xu, Huagan Wu, Bocheng Bao*, “Three-dimensional memristive Morris–Lecar model with magnetic induction effects and its FPGA implementation,” Cognitive Neurodynamics, 2023(Aug.), 17(4): 1079-1092.

→ Publication List

Awards & Honors

  • Highly cited researcher in 2023 (Clarivate).

  • Highly cited researcher in 2022 (Elsevier).

  • Highly cited researcher in 2022 (Clarivate).

  • Highly cited researcher in 2021 (Elsevier).

  • Highly cited researcher in 2021 (Clarivate).

  • Highly cited researcher in 2020 (Elsevier).

  • Highly cited researcher in 2020 (Clarivate).

  • Served as a reviewer of papers for IEEE Trans. Industrial Electronics, IEEE Trans. Power Electronics, Nonlinear Dynamics and other academic journals.

  • Vice-Chairman, Chaos and Nonlinear Circuits Committee, Circuits and Systems Branch, Chinese Institute of Electronics.

  • Member of the International Workshop on Chaos-Fractals Theories and Applications.