Yaonan Cheng

422 total citations
57 papers, 307 citations indexed

About

Yaonan Cheng is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering and Materials Chemistry. According to data from OpenAlex, Yaonan Cheng has authored 57 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Mechanical Engineering, 25 papers in Electrical and Electronic Engineering and 15 papers in Materials Chemistry. Recurrent topics in Yaonan Cheng's work include Advanced machining processes and optimization (45 papers), Advanced Machining and Optimization Techniques (23 papers) and Advanced Surface Polishing Techniques (14 papers). Yaonan Cheng is often cited by papers focused on Advanced machining processes and optimization (45 papers), Advanced Machining and Optimization Techniques (23 papers) and Advanced Surface Polishing Techniques (14 papers). Yaonan Cheng collaborates with scholars based in China, Portugal and Taiwan. Yaonan Cheng's co-authors include Rui Guan, Mingyang Wu, Shilong Zhou, Lubin Li, Li Liu, Xianli Liu, Wenjie Zhai, Yizhi Liu, Chao Qin and Yue Zhang and has published in prestigious journals such as RSC Advances, Materials and The International Journal of Advanced Manufacturing Technology.

In The Last Decade

Yaonan Cheng

53 papers receiving 298 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yaonan Cheng China 10 250 131 83 59 57 57 307
Ryo Koike Japan 11 320 1.3× 70 0.5× 82 1.0× 49 0.8× 30 0.5× 49 363
Prosun Mandal India 8 221 0.9× 195 1.5× 90 1.1× 49 0.8× 47 0.8× 18 303
Shujing Wu China 13 326 1.3× 128 1.0× 210 2.5× 47 0.8× 44 0.8× 28 381
Sreelakshmi Shaji India 6 297 1.2× 139 1.1× 155 1.9× 64 1.1× 47 0.8× 10 363
Mariusz Michalski Poland 6 324 1.3× 136 1.0× 114 1.4× 44 0.7× 68 1.2× 18 345
Latif Özler Türkiye 10 344 1.4× 180 1.4× 164 2.0× 55 0.9× 112 2.0× 19 411
Ildikó Maňková Slovakia 11 278 1.1× 112 0.9× 134 1.6× 103 1.7× 50 0.9× 45 314
Ramezan Ali Mahdavinejad Iran 9 360 1.4× 194 1.5× 127 1.5× 36 0.6× 51 0.9× 20 383
Manisha Priyadarshini India 11 217 0.9× 130 1.0× 102 1.2× 21 0.4× 31 0.5× 33 285
Zhuoqi Shi China 11 256 1.0× 73 0.6× 125 1.5× 32 0.5× 56 1.0× 22 344

Countries citing papers authored by Yaonan Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Yaonan Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaonan Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Yaonan Cheng. A scholar is included among the top collaborators of Yaonan Cheng 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 Yaonan Cheng. Yaonan Cheng 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.
Cheng, Yaonan, et al.. (2025). Research on multi-step ahead prediction method for tool wear based on MSTCN-SBiGRU-MHA. Advanced Engineering Informatics. 65. 103219–103219. 11 indexed citations
2.
Zhou, Shilong, et al.. (2025). A gated convolutional neural network-based tool remaining useful life prediction method. Engineering Applications of Artificial Intelligence. 158. 111593–111593.
3.
Cheng, Yaonan, et al.. (2024). Research on tool wear and breakage state recognition of heavy milling 508III steel based on ResNet-CBAM. Measurement. 242. 116105–116105. 8 indexed citations
4.
Cheng, Yaonan, et al.. (2024). Thermal displacement prediction of high-speed electric spindles based on BWO-BiLSTM. Precision Engineering. 89. 438–450. 2 indexed citations
5.
Cheng, Yaonan, et al.. (2024). Predictive Modeling of Thermal Displacement for High-Speed Electric Spindle. International Journal of Precision Engineering and Manufacturing. 26(2). 345–361. 1 indexed citations
6.
Wu, Mingyang, et al.. (2023). Influence of Flank Wear on the Microstructure Characteristics of the GH4169 Metamorphic Layer under High-Pressure Cooling. Materials. 16(8). 2944–2944. 4 indexed citations
7.
Cheng, Yaonan, et al.. (2023). Tool remaining useful life prediction and parameters optimization in milling 508III steel. The International Journal of Advanced Manufacturing Technology. 129(3-4). 1741–1757. 2 indexed citations
8.
Cheng, Yaonan, et al.. (2023). Prediction of tool wear in milling process based on BP neural network optimized by firefly algorithm. Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering. 238(5). 2387–2403. 14 indexed citations
9.
Cheng, Yaonan, et al.. (2023). Research on multi-signal milling tool wear prediction method based on GAF-ResNext. Robotics and Computer-Integrated Manufacturing. 85. 102634–102634. 39 indexed citations
10.
Cheng, Yaonan, et al.. (2023). Temperature Experiment and Parameter Optimization of Cemented Carbide Tool in Milling 508III Steel. Materials. 16(7). 2833–2833. 2 indexed citations
11.
Cheng, Yaonan, et al.. (2023). Modeling of Dynamic Cutting Force considering Flank Wear and Analysis of Tool Wear Mechanism in Milling 508III Steel. Integrated ferroelectrics. 233(1). 1–18. 2 indexed citations
12.
Cheng, Yaonan, et al.. (2022). Simulation and experimental study of tool wear and damage in milling SA 508III steel. Surface Topography Metrology and Properties. 10(3). 35033–35033. 3 indexed citations
13.
Wu, Mingyang, et al.. (2022). Simulation analysis of flank wear and tool life prediction for cutting superalloy under high-pressure cooling. Surface Topography Metrology and Properties. 10(3). 35035–35035.
14.
Liu, Li, et al.. (2021). Dynamic Cutting Force and Stress Distribution of Carbide Insert during Asymmetric Milling of 508III Steel. Integrated ferroelectrics. 217(1). 163–169. 2 indexed citations
15.
Wang, Tong, et al.. (2019). Research on temperature distribution mathematical model of cutting tool during heavy cutting difficult-to-machine materials. International Journal of Nanomanufacturing. 15(4). 381–381.
16.
Cheng, Yaonan, et al.. (2017). A study on the milling temperature and tool wear of difficult-to-machine 508III steel. Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture. 232(14). 2478–2487. 9 indexed citations
17.
Cheng, Yaonan, et al.. (2016). Generation mechanism of insert residual stress while cutting 508III steel. The International Journal of Advanced Manufacturing Technology. 91(1-4). 247–255. 7 indexed citations
18.
Liu, Xianli, et al.. (2015). Large chip production mechanism under the extreme load cutting conditions. Chinese Journal of Mechanical Engineering. 28(2). 343–352. 1 indexed citations
19.
Cheng, Yaonan, et al.. (2014). Investigations on the dust distribution characteristics of dry milling using inserts with various groove profiles. The International Journal of Advanced Manufacturing Technology. 74(1-4). 551–562. 11 indexed citations
20.
Wang, Zhigang, et al.. (2007). Analysis and design of PCD milling tool for machining copper alloy materials. International Journal of Computer Applications in Technology. 28(1). 110–110. 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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