World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
53
Citations
10426
World Ranking
1006
National Ranking
69

Kai Cheng publication distribution in Mechanical and Aerospace Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mechanical and Aerospace Engineering in 2026. The highlighted bar marks where Kai Cheng sits on this spectrum.

47–56 publications: 10 scientists 57–66 publications: 23 scientists 67–76 publications: 32 scientists 77–86 publications: 62 scientists 87–96 publications: 67 scientists 97–106 publications: 91 scientists 107–116 publications: 113 scientists 117–126 publications: 115 scientists 127–136 publications: 130 scientists 137–146 publications: 140 scientists 147–156 publications: 155 scientists 157–166 publications: 132 scientists 167–176 publications: 133 scientists 177–186 publications: 130 scientists 187–196 publications: 140 scientists 197–206 publications: 115 scientists 207–216 publications: 125 scientists 217–226 publications: 117 scientists 227–236 publications: 99 scientists 237–246 publications: 92 scientists 247–256 publications: 100 scientists 257–266 publications: 95 scientists 267–276 publications: 88 scientists 277–286 publications: 77 scientists 287–296 publications: 74 scientists 297–306 publications: 74 scientists 307–316 publications: 62 scientists 317–326 publications: 70 scientists 327–336 publications: 59 scientists 337–346 publications: 58 scientists 347–356 publications: 45 scientists 357–366 publications: 44 scientists 367–376 publications: 36 scientists 377–386 publications: 41 scientists 387–396 publications: 32 scientists 397–406 publications: 23 scientists 407–416 publications: 28 scientists 417–426 publications: 27 scientists 427–436 publications: 25 scientists 437–446 publications: 23 scientists 447–456 publications: 23 scientists 457–466 publications: 20 scientists 467–476 publications: 12 scientists 477–486 publications: 24 scientists 487–496 publications: 18 scientists 497–506 publications: 12 scientists 507–516 publications: 13 scientists 517–526 publications: 21 scientists 527–536 publications: 12 scientists 537–546 publications: 8 scientists 547–556 publications: 16 scientists 557–566 publications: 3 scientists 567–576 publications: 11 scientists 577–586 publications: 6 scientists 587–596 publications: 5 scientists 597–606 publications: 6 scientists 607–616 publications: 7 scientists 617–626 publications: 7 scientists 627–636 publications: 10 scientists 637–646 publications: 4 scientists 647–656 publications: 3 scientists 657–658 publications: 2 scientists 659+ publications: 100 scientists
47 publications 659+

This scientist: 363 publications — 83rd percentile

83% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 659 publications or more.

Kai Cheng D-index placement in Mechanical and Aerospace Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Mechanical and Aerospace Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Kai Cheng sits on this spectrum.

30 D-Index: 83 scientists 31 D-Index: 113 scientists 32 D-Index: 144 scientists 33 D-Index: 153 scientists 34 D-Index: 189 scientists 35 D-Index: 158 scientists 36 D-Index: 139 scientists 37 D-Index: 127 scientists 38 D-Index: 130 scientists 39 D-Index: 126 scientists 40 D-Index: 104 scientists 41 D-Index: 100 scientists 42 D-Index: 107 scientists 43 D-Index: 101 scientists 44 D-Index: 103 scientists 45 D-Index: 79 scientists 46 D-Index: 88 scientists 47 D-Index: 70 scientists 48 D-Index: 83 scientists 49 D-Index: 44 scientists 50 D-Index: 64 scientists 51 D-Index: 56 scientists 52 D-Index: 50 scientists 53 D-Index: 48 scientists 54 D-Index: 58 scientists 55 D-Index: 52 scientists 56 D-Index: 48 scientists 57 D-Index: 42 scientists 58 D-Index: 34 scientists 59 D-Index: 42 scientists 60 D-Index: 37 scientists 61 D-Index: 42 scientists 62 D-Index: 44 scientists 63 D-Index: 22 scientists 64 D-Index: 33 scientists 65 D-Index: 29 scientists 66 D-Index: 23 scientists 67 D-Index: 29 scientists 68 D-Index: 24 scientists 69 D-Index: 19 scientists 70 D-Index: 34 scientists 71 D-Index: 26 scientists 72 D-Index: 19 scientists 73 D-Index: 18 scientists 74 D-Index: 19 scientists 75 D-Index: 14 scientists 76 D-Index: 19 scientists 77 D-Index: 8 scientists 78 D-Index: 18 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 17 scientists 82 D-Index: 11 scientists 83 D-Index: 16 scientists 84 D-Index: 7 scientists 85 D-Index: 9 scientists 86 D-Index: 8 scientists 87 D-Index: 6 scientists 88 D-Index: 6 scientists 89 D-Index: 7 scientists 90 D-Index: 10 scientists 91 D-Index: 4 scientists 92 D-Index: 4 scientists 93+ D-Index: 100 scientists
30 D-Index 93+

This scientist: 53 D-Index — 71st percentile

71% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 93 D-Index or more.

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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