Gaiyun He

1.0k total citations
52 papers, 784 citations indexed

About

Gaiyun He is a scholar working on Mechanical Engineering, Computational Mechanics and Industrial and Manufacturing Engineering. According to data from OpenAlex, Gaiyun He has authored 52 papers receiving a total of 784 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Mechanical Engineering, 29 papers in Computational Mechanics and 17 papers in Industrial and Manufacturing Engineering. Recurrent topics in Gaiyun He's work include Advanced Measurement and Metrology Techniques (37 papers), Advanced machining processes and optimization (25 papers) and Advanced Numerical Analysis Techniques (24 papers). Gaiyun He is often cited by papers focused on Advanced Measurement and Metrology Techniques (37 papers), Advanced machining processes and optimization (25 papers) and Advanced Numerical Analysis Techniques (24 papers). Gaiyun He collaborates with scholars based in China and United Kingdom. Gaiyun He's co-authors include Hao Li, Xuda Qin, Guangming Sun, Zhanjie Song, Mark Price, Dan Sun, Yan Jin, Guofeng Wang, Dawei Zhang and Li Zhu and has published in prestigious journals such as Composite Structures, The International Journal of Advanced Manufacturing Technology and International Journal of Mechanical Sciences.

In The Last Decade

Gaiyun He

49 papers receiving 767 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gaiyun He China 17 660 242 205 194 190 52 784
Jibin Zhao China 16 445 0.7× 235 1.0× 375 1.8× 194 1.0× 148 0.8× 56 772
Zhengcai Zhao China 17 666 1.0× 323 1.3× 93 0.5× 151 0.8× 200 1.1× 53 787
Daisuke Kono Japan 16 667 1.0× 222 0.9× 97 0.5× 151 0.8× 73 0.4× 68 772
Nuodi Huang China 16 813 1.2× 238 1.0× 452 2.2× 262 1.4× 74 0.4× 62 956
Xinyong Mao China 20 958 1.5× 299 1.2× 102 0.5× 335 1.7× 259 1.4× 75 1.1k
C.R. Liu United States 12 734 1.1× 355 1.5× 116 0.6× 271 1.4× 120 0.6× 22 884
N. Venkaiah India 15 523 0.8× 170 0.7× 114 0.6× 93 0.5× 198 1.0× 36 624
John S. Agapiou United States 16 809 1.2× 302 1.2× 107 0.5× 266 1.4× 297 1.6× 40 963
Josef Mayr Switzerland 16 1.2k 1.8× 277 1.1× 341 1.7× 249 1.3× 59 0.3× 49 1.3k
Behnam Moetakef Imani Iran 16 555 0.8× 300 1.2× 216 1.1× 207 1.1× 179 0.9× 48 739

Countries citing papers authored by Gaiyun He

Since Specialization
Citations

This map shows the geographic impact of Gaiyun He'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 Gaiyun He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gaiyun He more than expected).

Fields of papers citing papers by Gaiyun He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gaiyun He. 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 Gaiyun He. The network helps show where Gaiyun He may publish in the future.

Co-authorship network of co-authors of Gaiyun He

This figure shows the co-authorship network connecting the top 25 collaborators of Gaiyun He. A scholar is included among the top collaborators of Gaiyun He 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 Gaiyun He. Gaiyun He 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.
He, Gaiyun, et al.. (2025). B-spline curve-based machine tool guide rails geometric accuracy design. International Journal of Mechanical Sciences. 301. 110550–110550.
2.
He, Gaiyun, et al.. (2024). Systematic error separation and compensation for complex surface in OMM. The International Journal of Advanced Manufacturing Technology. 135(5-6). 2475–2489.
3.
He, Gaiyun, et al.. (2024). Innovative design methods for the geometric accuracy of machine tool guide rail oriented to spatial accuracy. Journal of Manufacturing Processes. 119. 483–498. 8 indexed citations
4.
Li, Zhimeng, et al.. (2023). A Novel Clustering Method Based on Adjacent Grids Searching. Entropy. 25(9). 1342–1342. 1 indexed citations
5.
He, Gaiyun, et al.. (2023). A finishing toolpath generation strategy for flank milling of ruled surface based on a Double-Point-Mirror method. The International Journal of Advanced Manufacturing Technology. 129(7-8). 3185–3195. 1 indexed citations
6.
He, Gaiyun, et al.. (2022). Hybrid model based on recursive feature elimination with cross validation and Tradaboost for workpiece surface topography prediction of five-axis flank milling. The International Journal of Advanced Manufacturing Technology. 120(3-4). 2331–2344. 2 indexed citations
7.
8.
He, Gaiyun, et al.. (2022). A two-module automated scanning inspection planning methodology for complex surfaces on coordinate measuring machine. Measurement. 202. 111827–111827. 11 indexed citations
9.
Sun, Guangming, et al.. (2020). Body diagonal error measurement and evaluation of a multiaxis machine tool using a multibeam laser interferometer. The International Journal of Advanced Manufacturing Technology. 107(11-12). 4545–4559. 8 indexed citations
10.
Song, Zhanjie, et al.. (2019). An Improved Measurement Uncertainty Calculation Method of Profile Error for Sculptured Surfaces. Chinese Journal of Mechanical Engineering. 32(1). 4 indexed citations
11.
He, Gaiyun, et al.. (2018). An improved adaptive sampling strategy for freeform surface inspection on CMM. The International Journal of Advanced Manufacturing Technology. 96(1-4). 1521–1535. 47 indexed citations
12.
He, Gaiyun, et al.. (2017). Hierarchical error model to estimate motion error of linear motion bearing table. The International Journal of Advanced Manufacturing Technology. 93(5-8). 1915–1927. 22 indexed citations
13.
He, Gaiyun, et al.. (2017). Identification and Adjustment of Guide Rail Geometric Errors Based on BP Neural Network. Measurement Science Review. 17(3). 135–144. 10 indexed citations
14.
Zhu, Li, Gaiyun He, & Zhanjie Song. (2016). Improved quality prediction model for multistage machining process based on geometric constraint equation. Chinese Journal of Mechanical Engineering. 29(2). 430–438. 9 indexed citations
15.
He, Gaiyun, et al.. (2016). CAD-based measurement planning strategy of complex surface for five axes on machine verification. The International Journal of Advanced Manufacturing Technology. 91(5-8). 2101–2111. 27 indexed citations
16.
He, Gaiyun, et al.. (2015). Helical milling of CFRP/Ti-6Al-4V stacks with varying machining parameters. Transactions of Tianjin University. 21(1). 56–63. 27 indexed citations
17.
He, Gaiyun, et al.. (2014). Modeling and experimental validation of cutting forces in five-axis ball-end milling based on true tooth trajectory. The International Journal of Advanced Manufacturing Technology. 78(1-4). 189–197. 12 indexed citations
18.
He, Gaiyun, et al.. (2012). Modeling and compensation technology for the comprehensive errors of fixture system. Chinese Journal of Mechanical Engineering. 25(2). 385–391. 2 indexed citations
19.
He, Gaiyun, et al.. (2009). Surface forming and virtual model of simulation based on IGES. Virtual and Physical Prototyping. 4(1). 3–9.
20.
He, Gaiyun, et al.. (2008). Evaluation of cylindricity error based on geometrical approximation technique. 56. 2655–2658. 1 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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