World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
55
Citations
8872
World Ranking
4406
National Ranking
593

Overview

Jianbo Yu is affiliated with Tongji University in China and has an extensive research record primarily focused on engineering. Their work spans multiple subfields including mechanical engineering, control and systems engineering, industrial and manufacturing engineering, electrical and electronic engineering, and materials chemistry.

The research topics covered by Jianbo Yu include:

  • Machine Fault Diagnosis Techniques
  • Fault Detection and Control Systems
  • Gear and Bearing Dynamics Analysis
  • Industrial Vision Systems and Defect Detection
  • Mineral Processing and Grinding
  • Advanced ceramic materials synthesis
  • Advanced machining processes and optimization

Jianbo Yu has published in prominent venues such as:

  • IEEE Transactions on Instrumentation and Measurement
  • International Journal of Production Research
  • IEEE Transactions on Industrial Informatics
  • Journal of Mechanical Engineering
  • IEEE Sensors Journal

Frequent coauthors collaborating with Jianbo Yu include:

  • Zhongming Ren
  • Shijin Wang
  • Zhuang Ye
  • Mengqi Miao
  • Zebing Zhou

Selected recent publications by Jianbo Yu are:

  • One-Dimensional Residual Convolutional Autoencoder Based Feature Learning for Gearbox Fault Diagnosis, 2020, IEEE Transactions on Industrial Informatics
  • Knowledge extraction and insertion to deep belief network for gearbox fault diagnosis, 2020, Knowledge-Based Systems
  • RetinaNet With Difference Channel Attention and Adaptively Spatial Feature Fusion for Steel Surface Defect Detection, 2020, IEEE Transactions on Instrumentation and Measurement (authored by Xun Cheng but associated with Yu's research topics)
  • One-dimensional convolutional auto-encoder-based feature learning for fault diagnosis of multivariate processes, 2020, Journal of Process Control (authored by Shumei Chen but relevant to Yu's research domain)
  • Study of pore defect and mechanical properties in selective laser melted Ti6Al4V alloy based on X-ray computed tomography, 2020, Materials Science and Engineering A (authored by Wei Liu, complementing Yu's materials chemistry focus)

Jianbo Yu's body of work consists of 385 publications broadly categorized under engineering, delivering significant breadth across mechanical engineering with 107 papers, control and systems engineering with 101 papers, industrial and manufacturing engineering with 51 papers, electrical and electronic engineering with 28 papers, and materials chemistry with 23 papers.

Best Publications

  • A similarity-based prognostics approach for Remaining Useful Life estimation of engineered systems

    Tianyi Wang;Jianbo Yu;D. Siegel;J. Lee

  • Bearing performance degradation assessment using locality preserving projections and Gaussian mixture models

    Jianbo Yu

  • RetinaNet With Difference Channel Attention and Adaptively Spatial Feature Fusion for Steel Surface Defect Detection

    Xun Cheng;Jianbo Yu

  • Letters: Evolving artificial neural networks using an improved PSO and DPSO

    Jianbo Yu;Shijin Wang;Lifeng Xi

  • State of health prediction of lithium-ion batteries: Multiscale logic regression and Gaussian process regression ensemble

    Jianbo Yu

  • Local and Nonlocal Preserving Projection for Bearing Defect Classification and Performance Assessment

    Jianbo Yu

  • Local and global principal component analysis for process monitoring

    Jianbo Yu

  • One-Dimensional Residual Convolutional Autoencoder Based Feature Learning for Gearbox Fault Diagnosis

    Jianbo Yu;Xingkang Zhou

  • Wafer Map Defect Detection and Recognition Using Joint Local and Nonlocal Linear Discriminant Analysis

    Jianbo Yu;Xiaolei Lu

  • Health Condition Monitoring of Machines Based on Hidden Markov Model and Contribution Analysis

    Jianbo Yu

  • An effective heuristic for flexible job-shop scheduling problem with maintenance activities

    Shijin Wang;Jianbo Yu

  • One-dimensional convolutional auto-encoder-based feature learning for fault diagnosis of multivariate processes

    Shumei Chen;Jianbo Yu;Shijin Wang

  • Bearing performance degradation assessment using locality preserving projections

    Jian-Bo Yu

  • Bi-objective identical parallel machine scheduling to minimize total energy consumption and makespan

    Shijin Wang;Xiaodong Wang;Jianbo Yu;Shuan Ma

  • An Improved Particle Swarm Optimization for Evolving Feedforward Artificial Neural Networks

    Jianbo Yu;Lifeng Xi;Shijin Wang

  • An energy-efficient two-stage hybrid flow shop scheduling problem in a glass production

    Shijin Wang;Xiaodong Wang;Feng Chu;Jianbo Yu

  • A hybrid feature selection scheme and self-organizing map model for machine health assessment

    Jianbo Yu

  • A neural network ensemble-based model for on-line monitoring and diagnosis of out-of-control signals in multivariate manufacturing processes

    Jian-bo Yu;Li-feng Xi

  • Fault Detection Using Principal Components-Based Gaussian Mixture Model for Semiconductor Manufacturing Processes

    Jianbo Yu

  • Knowledge extraction and insertion to deep belief network for gearbox fault diagnosis

    Jianbo Yu;Guoliang Liu

  • Hidden Markov models combining local and global information for nonlinear and multimodal process monitoring

    Jianbo Yu

Frequent Co-Authors

Lifeng Xi
Lifeng Xi Shanghai Jiao Tong University
Feng Chu
Feng Chu University of Évry Val d'Essonne
Qingbo He
Qingbo He Shanghai Jiao Tong University
Jatinder N. D. Gupta
Jatinder N. D. Gupta University of Alabama in Huntsville

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 often opens doors to a variety of related online degrees and career pathways. Whether you’re interested in combining your CS knowledge with engineering, physics, or data analysis, there are numerous programs designed to meet diverse interests and professional goals.

For learners drawn to engineering, the cheapest mechanical engineering degree online programs offer a cost-effective way to gain key technical skills. Alternatively, those fascinated by the principles underlying computing may consider the cheapest online physics degree programs, which blend theoretical and practical applications relevant to tech fields.

Students aiming for careers in big data can explore data science programs designed to build expertise in analytics and machine learning. If electrical systems and technology innovation are of interest, the top online electrical engineering schools in the USA offer strong options.

With online education, combining computer science with complementary disciplines has never been more accessible, affordable, or aligned with today’s technology-driven careers.

Best Scientists Citing Jianbo Yu

Trending Scientists