World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
47
Citations
7563
World Ranking
3272
National Ranking
527

Overview

Haipeng Peng is affiliated with Beijing University of Posts and Telecommunications in China. Their research primarily spans the fields of Computer Science and Engineering, with a strong focus on subfields such as Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Information Systems, and Computational Mechanics.

The scientist's key areas of study include Sparse and Compressive Sensing Techniques, Cryptography and Data Security, Network Security and Intrusion Detection, Privacy-Preserving Technologies in Data, Advanced Steganography and Watermarking Techniques, Blockchain Technology Applications and Security, and Anomaly Detection Techniques and Applications.

Haipeng Peng has published extensively in various academic venues. Frequent publication outlets include:

  • IEEE Internet of Things Journal
  • Sensors
  • Journal of Systems Architecture
  • IEEE Sensors Journal
  • IEEE Access

Several recent papers authored or coauthored by Haipeng Peng illustrate the range of their research interests and contributions:

  • A Review of Face Recognition Technology, 2020, IEEE Access
  • A new fixed-time stability theorem and its application to the fixed-time synchronization of neural networks, 2020, Neural Networks
  • Propagation analysis and prediction of the COVID-19, 2020, Infectious Disease Modelling
  • Propagation analysis and prediction of the COVID-19, 2020, arXiv (Cornell University)
  • Overview of Compressed Sensing: Sensing Model, Reconstruction Algorithm, and Its Applications, 2020, Applied Sciences

Among frequent coauthors collaborating with Haipeng Peng are Lixiang Li, Yixian Yang, Fenghua Tong, and Wei Wu. Collaboration with Lixiang Li appears particularly prominent, with multiple joint works recorded.

Best Publications

  • CHAOTIC PARTICLE SWARM OPTIMIZATION FOR ECONOMIC DISPATCH CONSIDERING THE GENERATOR CONSTRAINTS

    Jiejin Cai;Xiaoqian Ma;Lixiang Li;Peng Haipeng

  • A Review of Face Recognition Technology

    Lixiang Li;Xiaohui Mu;Siying Li;Haipeng Peng

  • Propagation analysis and prediction of the COVID-19

    Lixiang Li;Zihang Yang;Zhongkai Dang;Cui Meng

  • A multi-objective chaotic particle swarm optimization for environmental/economic dispatch

    Jiejin Cai;Xiaoqian Ma;Qiong Li;Lixiang Li

  • A new fixed-time stability theorem and its application to the fixed-time synchronization of neural networks.

    Chuan Chen;Lixiang Li;Haipeng Peng;Yixian Yang

  • Fixed-time synchronization of inertial memristor-based neural networks with discrete delay

    Chuan Chen;Lixiang Li;Haipeng Peng;Yixian Yang

  • Parameters identification of chaotic systems via chaotic ant swarm

    Lixiang Li;Yixian Yang;Haipeng Peng;Xiangdong Wang

  • A hybrid CPSO–SQP method for economic dispatch considering the valve-point effects

    Jiejin Cai;Qiong Li;Lixiang Li;Haipeng Peng

  • Multiple routes transmitted epidemics on multiplex networks

    Dawei Zhao;Lixiang Li;Haipeng Peng;Qun Luo

  • Chaotic ant swarm optimization to economic dispatch

    Jiejin Cai;Xiaoqian Ma;Lixiang Li;Yixian Yang

  • An Enhanced Biometric-Based Authentication Scheme for Telecare Medicine Information Systems Using Elliptic Curve Cryptosystem

    Yanrong Lu;Lixiang Li;Haipeng Peng;Yixian Yang

  • A multi-objective chaotic ant swarm optimization for environmental/economic dispatch

    Jiejin Cai;Xiaoqian Ma;Qiong Li;Lixiang Li

  • Quantum-secret-sharing scheme based on local distinguishability of orthogonal multiqudit entangled states

    Jingtao Wang;Lixiang Li;Haipeng Peng;Yixian Yang

  • Finite-time stability and synchronization of memristor-based fractional-order fuzzy cellular neural networks

    Mingwen Zheng;Mingwen Zheng;Lixiang Li;Haipeng Peng;Jinghua Xiao

  • Secure and Energy-Efficient Data Transmission System Based on Chaotic Compressive Sensing in Body-to-Body Networks

    Haipeng Peng;Ye Tian;Jurgen Kurths;Lixiang Li

  • A Secure and Effective Anonymous Authentication Scheme for Roaming Service in Global Mobility Networks

    Dawei Zhao;Haipeng Peng;Lixiang Li;Yixian Yang

  • Complex networks-based energy-efficient evolution model for wireless sensor networks

    Hailin Zhu;Hong Luo;Haipeng Peng;Lixiang Li

  • Fixed-time synchronization of memristor-based BAM neural networks with time-varying discrete delay.

    Chuan Chen;Lixiang Li;Haipeng Peng;Yixian Yang

  • Dynamic multi-swarm differential learning particle swarm optimizer

    Yonggang Chen;Yonggang Chen;Lixiang Li;Haipeng Peng;Jinghua Xiao

  • Synchronization control of memristor-based recurrent neural networks with perturbations.

    Weiping Wang;Lixiang Li;Haipeng Peng;Haipeng Peng;Jinghua Xiao

  • A hybrid FCASO-SQP method for solving the economic dispatch problems with valve-point effects

    Jiejin Cai;Qiong Li;Lixiang Li;Haipeng Peng

Frequent Co-Authors

Lixiang Li
Lixiang Li Beijing University of Posts and Telecommunications
Xinping Guan
Xinping Guan Shanghai Jiao Tong University
Cailian Chen
Cailian Chen Shanghai Jiao Tong University

External Links

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

Exploring online degrees related to Electronics and Electrical Engineering can open diverse career pathways. Many students interested in project leadership within technical fields may consider a bachelor of project management online to gain essential skills in managing engineering projects efficiently.

For working professionals looking to advance quickly, accelerated online degree programs offer flexible and fast-paced options, allowing them to balance career growth with further education in related disciplines.

Those considering a shift toward education or training in engineering can explore specialized programs such as the best online master's for teaching. These degrees prepare graduates to effectively communicate complex technical concepts.

Competency-based learning models are gaining traction as well. Many students benefit from checking the list of competency-based colleges to find flexible programs that emphasize mastery of skills rather than time spent in class, ideal for hands-on, technical disciplines like engineering.

Best Scientists Citing Haipeng Peng

Trending Scientists