World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
59
Citations
10638
World Ranking
3490
National Ranking
471

Overview

Xinyu Shao is affiliated with Huazhong University of Science and Technology in China. Their research primarily focuses on engineering, with a significant number of publications in mechanical engineering, control and systems engineering, electrical and electronic engineering, mechanics of materials, and biomedical engineering.

The key topics in their work include machine fault diagnosis techniques, fault detection and control systems, engineering diagnostics and reliability, gear and bearing dynamics analysis, non-destructive testing techniques, advanced welding techniques analysis, and manufacturing process and optimization.

Their frequent co-authors include Jun Wu, Yiwei Cheng, Haiping Zhu, Ping Jiang, and Leshi Shu, indicating active collaboration within their research community.

Xinyu Shao has published extensively in several venues, with multiple papers appearing in arXiv (Cornell University), IEEE/ASME Transactions on Mechatronics, IEEE Transactions on Instrumentation and Measurement, International Journal of Biological Macromolecules, and Frontiers in Genetics.

Notable published papers include:

  • Intelligent fault diagnosis of rotating machinery based on continuous wavelet transform-local binary convolutional neural network, 2021, Knowledge-Based Systems
  • A convolutional neural network based degradation indicator construction and health prognosis using bidirectional long short-term memory network for rolling bearings, 2021, Advanced Engineering Informatics
  • Lamb wave-based damage detection of composite structures using deep convolutional neural network and continuous wavelet transform, 2021, Composite Structures
  • Stacked pruning sparse denoising autoencoder based intelligent fault diagnosis of rolling bearings, 2020, Applied Soft Computing
  • Remaining Useful Life Prognosis Based on Ensemble Long Short-Term Memory Neural Network, 2020, IEEE Transactions on Instrumentation and Measurement

Best Publications

  • An effective hybrid particle swarm optimization algorithm for multi-objective flexible job-shop scheduling problem

    Guohui Zhang;Xinyu Shao;Peigen Li;Liang Gao

  • Data-driven remaining useful life prediction via multiple sensor signals and deep long short-term memory neural network.

    Jun Wu;Kui Hu;Yiwei Cheng;Haiping Zhu

  • Intelligent fault diagnosis of rotating machinery based on continuous wavelet transform-local binary convolutional neural network

    Yiwei Cheng;Manxi Lin;Jun Wu;Haiping Zhu

  • Integration of process planning and scheduling-A modified genetic algorithm-based approach

    Xinyu Shao;Xinyu Li;Liang Gao;Chaoyong Zhang

  • Laser beam oscillating welding of 5A06 aluminum alloys: Microstructure, porosity and mechanical properties

    Zhimin Wang;J.P. Oliveira;Zhi Zeng;Xianzheng Bu

  • A multi-objective genetic algorithm based on immune and entropy principle for flexible job-shop scheduling problem

    Xiaojuan Wang;Liang Gao;Chaoyong Zhang;Xinyu Shao

  • Degradation Data-Driven Time-To-Failure Prognostics Approach for Rolling Element Bearings in Electrical Machines

    Jun Wu;Chaoyong Wu;Shuai Cao;Siu Wing Or

  • MILP models for energy-aware flexible job shop scheduling problem

    Leilei Meng;Chaoyong Zhang;Xinyu Shao;Yaping Ren

  • Machine Health Monitoring Using Adaptive Kernel Spectral Clustering and Deep Long Short-Term Memory Recurrent Neural Networks

    Yiwei Cheng;Haiping Zhu;Jun Wu;Xinyu Shao

  • Multi-sensor information fusion for remaining useful life prediction of machining tools by adaptive network based fuzzy inference system

    Jun Wu;Yongheng Su;Yiwei Cheng;Xinyu Shao

  • Mathematical modeling and evolutionary algorithm-based approach for integrated process planning and scheduling

    Xinyu Li;Liang Gao;Xinyu Shao;Chaoyong Zhang

  • A local Kriging approximation method using MPP for reliability-based design optimization

    Xiaoke Li;Haobo Qiu;Zhenzhong Chen;Liang Gao

  • A convolutional neural network based degradation indicator construction and health prognosis using bidirectional long short-term memory network for rolling bearings

    Yiwei Cheng;Kui Hu;Jun Wu;Haiping Zhu

  • Hybrid discrete particle swarm optimization for multi-objective flexible job-shop scheduling problem

    Xinyu Shao;Weiqi Liu;Weiqi Liu;Qiong Liu;Chaoyong Zhang

  • Mathematical modelling and optimisation of energy-conscious hybrid flow shop scheduling problem with unrelated parallel machines

    Leilei Meng;Chaoyong Zhang;Xinyu Shao;Yaping Ren

  • Lamb wave-based damage detection of composite structures using deep convolutional neural network and continuous wavelet transform

    Jun Wu;Xuebing Xu;Cheng Liu;Chao Deng

  • Surrogate Model-Based Engineering Design and Optimization

    Ping Jiang;Qi Zhou;Xinyu Shao

  • An agent-based approach for integrated process planning and scheduling

    Xinyu Li;Chaoyong Zhang;Liang Gao;Weidong Li

  • A review on Integrated Process Planning and Scheduling

    Xinyu Li;Liang Gao;Chaoyong Zhang;Xinyu Shao

  • Integrating data mining and rough set for customer group-based discovery of product configuration rules

    X.-Y Shao;Z.-H Wang;P.-G Li;C.-X. J Feng

  • An effective hybrid algorithm for integrated process planning and scheduling

    Xinyu Li;Xinyu Shao;Liang Gao;Weirong Qian

  • Optimization of laser welding process parameters of stainless steel 316L using FEM, Kriging and NSGA-II

    Ping Jiang;Chaochao Wang;Qi Zhou;Xinyu Shao

Frequent Co-Authors

Liang Gao
Liang Gao Huazhong University of Science and Technology
Chunming Wang
Chunming Wang Huazhong University of Science and Technology
Chaoyong Zhang
Chaoyong Zhang Huazhong University of Science and Technology
Peigen Li
Peigen Li Huazhong University of Science and Technology
Hui Zhou
Hui Zhou Huazhong University of Science and Technology
Jun Wu
Jun Wu The University of Texas Southwestern Medical Center
Guangdong Tian
Guangdong Tian Shandong University
Weidong Li
Weidong Li Wuhan University of Technology
Xinyu Li
Xinyu Li Huazhong University of Science and Technology
Siu Wing Or
Siu Wing Or Hong Kong Polytechnic 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

Exploring computer science in the USA can open the door to a wide range of online degree options and diverse career pathways. Many students interested in technology also explore fields that intersect with computer science, such as environmental science and engineering.

For those curious about environmental applications, understanding what can I do with an environmental science degree can reveal careers in data analysis, sustainability, and tech-driven research. If you're seeking a quicker route to graduation, there are accelerated computer science degree online programs that help you earn your credentials faster and start your tech career sooner.

Many related fields also offer remote learning options. For example, you can pursue an environmental engineering bachelor's degree online or explore engineering technologies with an online mechanical engineering degree. These online programs provide flexibility, affordability, and access to a variety of career opportunities in both traditional and emerging tech sectors.

Best Scientists Citing Xinyu Shao

Trending Scientists

Recently Published Articles