World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
46
Citations
9073
World Ranking
1428
National Ranking
564

Overview

Zhuming Bi is affiliated with Indiana University - Purdue University Fort Wayne in the United States and has established a substantial research profile primarily within the field of engineering. Their work extensively covers various subfields including Mechanical Engineering, Industrial and Manufacturing Engineering, Biomedical Engineering, Computer Vision and Pattern Recognition, and Control and Systems Engineering.

Their research spans numerous topics related to manufacturing processes and technological innovations, including:

  • Advanced machining processes and optimization
  • Advanced Surface Polishing Techniques
  • Digital Transformation in Industry
  • Manufacturing Process and Optimization
  • Flexible and Reconfigurable Manufacturing Systems
  • Fault Detection and Control Systems
  • Advanced Welding Techniques Analysis

Zhuming Bi has contributed to a range of scholarly publications, with notable papers such as:

  • Internet of things (IoT) and big data analytics (BDA) for digital manufacturing (DM), 2021, International Journal of Production Research

Co-authored with several frequent collaborators, Bi's work benefits from partnerships with researchers such as Cong Mao, Chaomin Luo, Wenjun Zhang, Yongle Hu, and Yingwei Zhang. Each of these coauthors has contributed recurrently across multiple publications totaling from 11 to 20 collaborations.

The scientist's research outputs have appeared in a variety of publication venues, with multiple contributions in:

  • arXiv (Cornell University)
  • Journal of Industrial Information Integration
  • SSRN Electronic Journal
  • IEEE Transactions on Instrumentation and Measurement
  • The International Journal of Advanced Manufacturing Technology

These venues reflect the interdisciplinary nature of their research, bridging manufacturing systems, sensor technology, industrial information, and computational approaches.

Best Publications

  • Reconfigurable manufacturing systems: the state of the art

    Z. M. Bi;S. Y. T. Lang;W. Shen;Lihui Wang

  • Flexible fixture design and automation: Review, issues and future directions

    Z. M. Bi;W. J. Zhang

  • IoT and Cloud Computing in Automation of Assembly Modeling Systems

    Chengen Wang;Zhuming Bi;Li Da Xu

  • Review: Advances in 3D data acquisition and processing for industrial applications

    Z. M. Bi;Lihui Wang

  • Data Cleaning for RFID and WSN Integration

    Li Wang;Li Da Xu;Zhuming Bi;Yingcheng Xu

  • AutoAssem: An Automated Assembly Planning System for Complex Products

    Li Da Xu;Chengen Wang;Zhuming Bi;Jiapeng Yu

  • Kinematic modeling of Exechon parallel kinematic machine

    Z. M. Bi;Y. Jin

  • Development of reconfigurable machines

    Z. M. Bi;Sherman Y. T. Lang;M. Verner;P. Orban

  • Optimization of machining processes from the perspective of energy consumption: A case study

    Z.M. Bi;Lihui Wang

  • Safety assurance mechanisms of collaborative robotic systems in manufacturing

    Zhu Ming Bi;Zhu Ming Bi;Chaomin Luo;Zhonghua Miao;Bing Zhang

  • Revisiting System Paradigms from the Viewpoint of Manufacturing Sustainability

    Zhuming M. Bi

  • Modularity Technology in Manufacturing: Taxonomy and Issues

    Z. M. Bi;W. J. Zhang

  • Object-Oriented Templates for Automated Assembly Planning of Complex Products

    L. D. Xu;Chengen Wang;Zhuming Bi;Jiapeng Yu

  • Concurrent optimal design of modular robotic configuration

    Zhu Ming Bi;Wen-Jun Zhang

  • Current status of reconfigurable assembly systems

    Zhu Ming Bi;Lihui Wang;Sherman Y. T. Lang

  • State-of-the-Art control strategies for robotic PiH assembly

    Jingang Jiang;Zhiyuan Huang;Zhuming Bi;Xuefeng Ma

  • Design and kinetostatic analysis of a new parallel manipulator

    Dan Zhang;Zhuming Bi;Beizhi Li

  • An emerging technology – wearable wireless sensor networks with applications in human health condition monitoring

    Hairong Yan;Li Da Xu;Zhuming M. Bi;Zhibo Pang

  • Extended Interference Matrices for Exploded View of Assembly Planning

    Jiapeng Yu;Li Da Xu;Zhuming Bi;Chengen Wang

  • A new methodology to support group decision-making for IoT-based emergency response systems

    Ni Li;Minghui Sun;Zhuming Bi;Zeya Su

  • Energy Modeling of Machine Tools for Optimization of Machine Setups

    Z. M. Bi;Lihui Wang

  • Recent Development of Rehabilitation Robots

    Zhiqin Qian;Zhuming M. Bi;Zhuming M. Bi

  • Kinematic Analysis and Dimensional Synthesis of Exechon Parallel Kinematic Machine for Large Volume Machining

    Y. JIn;Zhuming M. Bi;H. T. Liu;C. Higgins

  • Optimal design of reconfigurable parallel machining systems

    Z. M. Bi;Lihui Wang

  • Use of the Manufacturing System Design Decomposition for Comparative Analysis and Effective Design of Production Systems

    David S. Cochran;Joseph T. Foley;Zhuming Bi

  • Computer Aided Design and Manufacturing

    Unknown

Frequent Co-Authors

Li Da Xu
Li Da Xu Old Dominion University
Lihui Wang
Lihui Wang Royal Institute of Technology
Wenjun Zhang
Wenjun Zhang City University of Hong Kong
Dan Zhang
Dan Zhang York University
Weihai Chen
Weihai Chen Beihang University
Yingzi Lin
Yingzi Lin Northeastern University
Weiming Shen
Weiming Shen Huazhong University of Science and Technology
Ling Li
Ling Li Old Dominion University
I-Ming Chen
I-Ming Chen Nanyang Technological University
Guilin Yang
Guilin Yang Chinese Academy of Sciences

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

For students interested in branching out from Mechanical and Aerospace Engineering, fields like Speech-Language Pathology (SLP) offer promising career pathways. Understanding the speech pathology grad school acceptance rates is vital for planning ahead and boosting admission chances. Prospective students should explore which institutions provide the most support and flexibility.

Choosing the right program often means balancing accessibility and academic rigor. Resources highlighting the easiest slp grad schools to get into can guide applicants looking for programs with higher acceptance rates without compromising quality.

Cost remains a major consideration, especially for online degrees. Knowing the cost of online speech pathology degree programs enables students to budget effectively and seek financial aid opportunities.

Veterans can find tailored options through resources focused on speech pathology programs online for veterans, easing transitions into civilian careers with supportive admission criteria and benefits.

Best Scientists Citing Zhuming Bi

Trending Scientists