World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
32
Citations
4778
World Ranking
9548
National Ranking
1579

Overview

Jianchao Zeng is affiliated with North University of China and has contributed extensively to the fields of engineering and computer science, with a primary focus on reliability and safety in technology systems. Their research spans multiple subfields including Safety, Risk, Reliability and Quality; Computer Vision and Pattern Recognition; Control and Systems Engineering; Automotive Engineering; and Electrical and Electronic Engineering.

The scientist's work covers key topics such as Reliability and Maintenance Optimization, Advanced Battery Technologies Research, Advancements in Battery Materials, Fault Detection and Control Systems, Machine Fault Diagnosis Techniques, Advanced Image Fusion Techniques, and Remote-Sensing Image Classification.

Jianchao Zeng has authored several recent papers with a central theme around lithium-ion battery health and remaining useful life prediction. Selected publications include:

  • "SOH and RUL Prediction of Lithium-Ion Batteries Based on Gaussian Process Regression with Indirect Health Indicators" (2020, Energies)
  • "A lithium-ion battery remaining useful life prediction method based on the incremental capacity analysis and Gaussian process regression" (2021, Microelectronics Reliability)
  • "State of health prediction of lithium-ion batteries based on bidirectional gated recurrent unit and transformer" (2023, Energy)
  • "Improved sparrow search algorithm optimization deep extreme learning machine for lithium-ion battery state-of-health prediction" (2022, iScience)
  • "Brain tumor segmentation of multi-modality MR images via triple intersecting U-Nets" (2020, Neurocomputing)

Zeng frequently collaborates with several researchers, with notable coauthors including Jie Wen, Jianfang Jia, Xiaohong Zhang, Yuanhao Shi, and Xiaoqiong Pang.

Their research has been published across prominent venues such as Reliability Engineering & System Safety, Electronics, Results in Physics, Energies, and Energy. These journals reflect the interdisciplinary nature of Zeng's work combining engineering principles and applied computational methods.

In addition to journal publications, Zeng has contributed to book literature, with two editions titled "Data Science" published by Springer Science+Business Media in 2020 and 2021. These works contribute to the body of knowledge in data science methodologies and applications.

Best Publications

  • Surrogate-Assisted Cooperative Swarm Optimization of High-Dimensional Expensive Problems

    Chaoli Sun;Yaochu Jin;Ran Cheng;Jinliang Ding

  • Surrogate-assisted hierarchical particle swarm optimization

    Haibo Yu;Ying Tan;Jianchao Zeng;Jianchao Zeng;Chaoli Sun

  • Multiobjective Infill Criterion Driven Gaussian Process-Assisted Particle Swarm Optimization of High-Dimensional Expensive Problems

    Jie Tian;Ying Tan;Jianchao Zeng;Chaoli Sun

  • A two-layer surrogate-assisted particle swarm optimization algorithm

    Chaoli Sun;Yaochu Jin;Jianchao Zeng;Yang Yu

  • A new fitness estimation strategy for particle swarm optimization

    Chaoli Sun;Jianchao Zeng;Jengshyang Pan;Songdong Xue

  • Joint optimization of condition-based opportunistic maintenance and spare parts provisioning policy in multiunit systems

    Unknown

  • Real-time prediction of remaining useful life and preventive opportunistic maintenance strategy for multi-component systems considering stochastic dependence

    Unknown

  • An improved vector particle swarm optimization for constrained optimization problems

    Chao-li Sun;Jian-chao Zeng;Jeng-shyang Pan

  • Comparison and Analysis of the Selection Mechanism in the Artificial Bee Colony Algorithm

    Li Bao;Jian-chao Zeng

  • Social Emotional Optimization Algorithm for Nonlinear Constrained Optimization Problems

    Yuechun Xu;Zhihua Cui;Zhihua Cui;Jianchao Zeng

  • A Guaranteed Global Convergence Particle Swarm Optimizer

    Zhihua Cui;Jianchao Zeng

  • A generation-based optimal restart strategy for surrogate-assisted social learning particle swarm optimization

    Haibo Yu;Ying Tan;Chaoli Sun;Jianchao Zeng;Jianchao Zeng

  • A FAST PARTICLE SWARM OPTIMIZATION

    Zhihua Cui;Jianchao Zeng;Guoji Sun

  • Dispersed particle swarm optimization

    Xingjuan Cai;Zhihua Cui;Jianchao Zeng;Ying Tan

  • Knowledge-based cooperative particle swarm optimization

    Unknown

  • Particle swarm optimization with FUSS and RWS for high dimensional functions

    Zhihua Cui;Zhihua Cui;Xingjuan Cai;Jianchao Zeng;Guoji Sun

  • Estimation of Distribution Algorithm based on copula theory

    Li-Fang Wang;Jian-Chao Zeng;Yi Hong

  • A general modeling method for opportunistic maintenance modeling of multi-unit systems

    Unknown

  • PID-Controlled Particle Swarm Optimization.

    Zhihua Cui;Xingjuan Cai;Jianchao Zeng;Yufeng Yin

  • A fitness approximation assisted competitive swarm optimizer for large scale expensive optimization problems

    Chaoli Sun;Chaoli Sun;Chaoli Sun;Jinliang Ding;Jianchao Zeng;Yaochu Jin;Yaochu Jin

  • General framework of Artificial Physics Optimization Algorithm

    Liping Xie;Jianchao Zeng;Zhihua Cui

  • An Improved PSO with Time-Varying Accelerator Coefficients

    Zhihua Cui;Jianchao Zeng;Yufeng Yin

  • Parallel asynchronous control strategy for target search with swarm robots

    Songdong Xue;Jianhua Zhang;Jianchao Zeng

  • Artificial physics optimisation: a brief survey

    Liping Xie;Ying Tan;Jianchao Zeng;Zhihua Cui

Frequent Co-Authors

Zhihua Cui
Zhihua Cui Taiyuan University of Science and Technology
Ying Tan
Ying Tan Peking University
Xingjuan Cai
Xingjuan Cai Taiyuan University of Science and Technology
Jeng-Shyang Pan
Jeng-Shyang Pan Shandong University of Science and Technology
Yaochu Jin
Yaochu Jin Westlake University
John F. Roddick
John F. Roddick Flinders University
Yang Yu
Yang Yu Nanjing University

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