World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
53
Citations
10426
World Ranking
1005
National Ranking
69

Overview

Kai Cheng is affiliated with Brunel University London in the United Kingdom. Their research primarily focuses on the field of Engineering, with notable contributions in Mechanical Engineering, Biomedical Engineering, Electrical and Electronic Engineering, Control and Systems Engineering, and Computational Mechanics.

The scientist has published extensively on topics related to advanced machining processes and optimization, advanced surface polishing techniques, and advanced machining and optimization techniques. Other areas of research include advanced measurement and metrology techniques, tribology and lubrication engineering, catalytic processes in materials science, and catalysis and hydrodesulfurization studies.

Frequent publication venues for Kai Cheng include:

  • Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture
  • Machines
  • SSRN Electronic Journal
  • arXiv (Cornell University)
  • The International Journal of Advanced Manufacturing Technology

Kai Cheng has collaborated with several co-authors on multiple occasions. Frequent co-authors consist of:

  • Hui Ding (11 publications)
  • Qingshun Bai (9 publications)
  • K Manjunath (8 publications)
  • Suman Tewary (8 publications)
  • Neha Khatri (8 publications)

Their recent papers include the following:

  • Attribution of Air Quality Benefits to Clean Winter Heating Policies in China: Combining Machine Learning with Causal Inference, 2023, Environmental Science & Technology
  • Investigation on an in-process chatter detection strategy for micro-milling titanium alloy thin-walled parts and its implementation perspectives, 2022, Mechanical Systems and Signal Processing
  • Monitoring and Predicting the Surface Generation and Surface Roughness in Ultraprecision Machining: A Critical Review, 2021, Machines
  • Investigation on industrial dataspace for advanced machining workshops: enabling machining operations control with domain knowledge and application case studies, 2020, Journal of Intelligent Manufacturing
  • A novel long-stroke fast tool servo system with counterbalance and its application to the ultra-precision machining of microstructured surfaces, 2022, Mechanical Systems and Signal Processing

Best Publications

  • Selective Electrochemical Reduction of Carbon Dioxide to Ethanol on a Boron- and Nitrogen-Co-doped Nanodiamond

    Yanming Liu;Yujing Zhang;Kai Cheng;Xie Quan

  • Machining dynamics: Fundamentals, applications and practices

    Kai Cheng

  • Design of ultraprecision machine tools with applications to manufacture of miniature and micro components

    Xichun Luo;Kai Cheng;Dave Webb;Frank Wardle

  • Modeling and simulation of the tool wear in nanometric cutting

    K. Cheng;X. Luo;R. Ward;R. Holt

  • Surface modification process by electrical discharge machining with a Ti powder green compact electrode

    Z.L Wang;Y Fang;P.N Wu;W.S Zhao

  • Fe3N constrained inside C nanocages as an anode for Li-ion batteries through post-synthesis nitridation

    Hao Huang;Song Gao;Ai-Min Wu;Kai Cheng

  • Aerostatic bearings design and analysis with the application to precision engineering: State-of-the-art and future perspectives

    Qiang Gao;Qiang Gao;Wanqun Chen;Wanqun Chen;Lihua Lu;Dehong Huo

  • Design of a five-axis ultra-precision micro-milling machine—UltraMill. Part 1: holistic design approach, design considerations and specifications

    Dehong Huo;Kai Cheng;Frank Wardle

  • RFID enabled manufacturing: fundamentals, methodology and applications

    B.H. Lu;R.J. Bateman;K. Cheng

  • Surrogate-assisted global sensitivity analysis: an overview

    Kai Cheng;Zhenzhou Lu;Chunyan Ling;Suting Zhou

  • Modeling flank wear of carbide tool insert in metal cutting

    X. Luo;K. Cheng;R. Holt;X. Liu

  • CFD based investigation on influence of orifice chamber shapes for the design of aerostatic thrust bearings at ultra-high speed spindles

    Siyu Gao;Kai Cheng;Kai Cheng;Shijin Chen;Hui Ding

  • An innovative investigation on chip formation mechanisms in micro-milling using natural diamond and tungsten carbide tools

    Zhichao Niu;Feifei Jiao;Kai Cheng

  • A holistic integrated dynamic design and modelling approach applied to the development of ultraprecision micro-milling machines

    Dehong Huo;Kai Cheng;Frank Wardle

  • Global sensitivity analysis using support vector regression

    Kai Cheng;Zhenzhou Lu;Yicheng Zhou;Yan Shi

  • Adaptive sparse polynomial chaos expansions for global sensitivity analysis based on support vector regression

    Kai Cheng;Zhenzhou Lu

  • Structural reliability analysis based on ensemble learning of surrogate models

    Kai Cheng;Zhenzhou Lu

  • Experimental study on machinability improvement of hardened tool steel using two dimensional vibration-assisted micro-end-milling

    Hui Ding;Rasidi Ibrahim;Kai Cheng;Shi-Jin Chen

  • Mixed kernel function support vector regression for global sensitivity analysis

    Kai Cheng;Zhenzhou Lu;Yuhao Wei;Yan Shi

  • XPS analysis of the groove wearing marks on flank face of diamond tool in nanometric cutting of silicon wafer

    W.J. Zong;T. Sun;D. Li;K. Cheng;K. Cheng

  • Implementation of agile manufacturing — an AI and Internet based approach

    K Cheng;D.K Harrison;P.Y Pan

  • A selection strategy for the design of externally pressurized journal bearings

    K. Cheng;W.B. Rowe

  • Modelling the machining dynamics of peripheral milling

    X. Liu;K. Cheng

  • Virtual Manufacturing

    Wasim Ahmed Khan;Abdul Raouf;Kai Cheng

Frequent Co-Authors

Xichun Luo
Xichun Luo University of Strathclyde
Liam Blunt
Liam Blunt University of Huddersfield
Xiangqian Jiang
Xiangqian Jiang University of Huddersfield
Andrew Y. C. Nee
Andrew Y. C. Nee National University of Singapore
Jagjit Singh Srai
Jagjit Singh Srai University of Cambridge
Erhan Budak
Erhan Budak Abant Izzet Baysal University

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