Lai Zou

1.5k total citations
78 papers, 1.1k citations indexed

About

Lai Zou is a scholar working on Mechanical Engineering, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Lai Zou has authored 78 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Mechanical Engineering, 61 papers in Biomedical Engineering and 19 papers in Electrical and Electronic Engineering. Recurrent topics in Lai Zou's work include Advanced Surface Polishing Techniques (58 papers), Advanced machining processes and optimization (51 papers) and Advanced Machining and Optimization Techniques (19 papers). Lai Zou is often cited by papers focused on Advanced Surface Polishing Techniques (58 papers), Advanced machining processes and optimization (51 papers) and Advanced Machining and Optimization Techniques (19 papers). Lai Zou collaborates with scholars based in China, United Kingdom and Sweden. Lai Zou's co-authors include Yun Huang, Ming Zhou, Chong Lv, Wenxi Wang, Heng Li, Tingting Wang, Yun Huang, Lian Duan, Guojun Dong and Xinghao Zhang and has published in prestigious journals such as International Journal of Production Economics, International Journal for Numerical Methods in Engineering and Journal of Materials Processing Technology.

In The Last Decade

Lai Zou

73 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lai Zou China 19 815 641 226 205 147 78 1.1k
Sijie Yan China 19 1.1k 1.3× 892 1.4× 336 1.5× 325 1.6× 122 0.8× 48 1.4k
Zhiwei Zhu China 19 792 1.0× 734 1.1× 312 1.4× 383 1.9× 117 0.8× 59 1.3k
Xiaoliang Jin Canada 22 1.3k 1.5× 771 1.2× 548 2.4× 131 0.6× 89 0.6× 75 1.4k
Vigneashwara Pandiyan Switzerland 21 1.0k 1.3× 420 0.7× 219 1.0× 72 0.4× 76 0.5× 36 1.2k
Changcai Cui China 16 537 0.7× 534 0.8× 275 1.2× 51 0.2× 169 1.1× 85 952
Hon-Yuen Tam Hong Kong 22 941 1.2× 902 1.4× 175 0.8× 250 1.2× 139 0.9× 85 1.5k
Ruisong Jiang China 21 910 1.1× 420 0.7× 364 1.6× 47 0.2× 125 0.9× 89 1.2k
Zhaoyao Shi China 20 1.1k 1.3× 333 0.5× 225 1.0× 175 0.9× 56 0.4× 147 1.4k
D. Dornfeld United States 8 562 0.7× 522 0.8× 175 0.8× 94 0.5× 139 0.9× 13 749
Eric R. Marsh United States 14 478 0.6× 414 0.6× 206 0.9× 95 0.5× 78 0.5× 41 673

Countries citing papers authored by Lai Zou

Since Specialization
Citations

This map shows the geographic impact of Lai Zou's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lai Zou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lai Zou more than expected).

Fields of papers citing papers by Lai Zou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lai Zou. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lai Zou. The network helps show where Lai Zou may publish in the future.

Co-authorship network of co-authors of Lai Zou

This figure shows the co-authorship network connecting the top 25 collaborators of Lai Zou. A scholar is included among the top collaborators of Lai Zou based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lai Zou. Lai Zou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zou, Lai, et al.. (2025). A novel dynamic observer-based contact force control strategy in robotic grinding to improve blade profile accuracy. Robotics and Computer-Integrated Manufacturing. 94. 102966–102966. 3 indexed citations
2.
Wang, Wenxi, et al.. (2025). Acoustic signal-based wear monitoring for belt grinding tools with pyramid-structured abrasives using BO-KELM. Computers in Industry. 166. 104235–104235. 5 indexed citations
3.
Liu, Yingjie, et al.. (2025). Transformation of material removal behavior and its mechanism modeling with the wear evolution of pyramidal structured abrasive belts. Journal of Manufacturing Processes. 137. 125–134. 5 indexed citations
4.
Liao, Yi, Yanying Chen, Guangyao Duan, et al.. (2025). DTSFNet: A Lightweight Network Based on Dynamic Sampling and Scale Sequence Fusion for Aerial Image Object Detection. Journal of Circuits Systems and Computers. 34(13).
6.
Wang, Ziling, Lai Zou, Junjie Zhang, et al.. (2024). Tool axis vector optimization for robotic grinding based on measured point cloud of complex curved blade. Advanced Engineering Informatics. 62. 102716–102716. 5 indexed citations
7.
Zou, Lai, Yang Chen, Shulin Lan, et al.. (2024). BearingFM: Towards a foundation model for bearing fault diagnosis by domain knowledge and contrastive learning. International Journal of Production Economics. 275. 109319–109319. 11 indexed citations
8.
Li, Mingcong, et al.. (2024). 3D printed compliance tool incorporated internal-impeller structure for high performance face grinding of titanium alloy. Journal of Materials Processing Technology. 329. 118446–118446. 7 indexed citations
9.
Zhou, Ming, et al.. (2024). Study on nickel-based single crystal superalloy DD6 subsurface damage of belt grinding with a large cutting depth of one pass. Engineering Failure Analysis. 161. 108256–108256. 11 indexed citations
10.
Liu, Zhenyang, et al.. (2024). Fabricating ultra wear-resistant surfaces on titanium alloy by combining laser-induced modification with abrasive belt grinding. Tribology International. 200. 110160–110160. 11 indexed citations
11.
Li, Heng, Lai Zou, Chong Lv, et al.. (2024). An optimization framework for enhancing profile accuracy in robotic grinding of compressor blade edge. Chinese Journal of Aeronautics. 38(5). 103228–103228. 1 indexed citations
12.
Zou, Lai, et al.. (2024). An error compensation method for on-machine measuring blade with industrial robot. Measurement. 242. 116039–116039. 3 indexed citations
13.
Li, Heng, et al.. (2024). Collaborative improvement of profile accuracy and aerodynamic performance in robotic grinding of transonic compressor blade leading edge. Aerospace Science and Technology. 146. 108937–108937. 12 indexed citations
14.
Zhou, Ming, et al.. (2023). Effect of flexible machining on subsurface damage and recrystallization of single crystal superalloy. Journal of Manufacturing Processes. 94. 512–523. 6 indexed citations
15.
Zou, Lai, et al.. (2023). A novel regional force control strategy based on seven-axis linkage grinding system to improve blade machining accuracy. Journal of Manufacturing Processes. 97. 235–247. 8 indexed citations
16.
Li, Mingcong, Shudong Zhao, Heng Li, et al.. (2023). On Energy Assessment of Titanium Alloys Belt Grinding Involving Abrasive Wear Effects. Chinese Journal of Mechanical Engineering. 36(1). 10 indexed citations
17.
Zou, Lai, et al.. (2023). A novel allowance evaluation method of blade based on high-precision matching and deviation calculating for 3D points. Optics and Lasers in Engineering. 169. 107752–107752. 6 indexed citations
18.
Li, Zhihang, et al.. (2022). Optimization of grinding process parameters based on BILSTM network and chaos sparrow search algorithm. Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering. 236(4). 1693–1701. 2 indexed citations
19.
Wang, Tingting, Lai Zou, Heng Li, & Yun Huang. (2022). A prediction model of residual stress for belt‐grinding blade based on geometrical characteristic and progressive wear of abrasive grains. International Journal for Numerical Methods in Engineering. 123(12). 2814–2836. 7 indexed citations
20.
Zou, Lai, Shiqi Liu, & Wenxi Wang. (2022). Up/down processing modes effects on residual stress for belt grinding. Materials and Manufacturing Processes. 38(7). 898–904. 5 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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