Miaoxian Guo

610 total citations
30 papers, 472 citations indexed

About

Miaoxian Guo is a scholar working on Mechanical Engineering, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Miaoxian Guo has authored 30 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Mechanical Engineering, 15 papers in Biomedical Engineering and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Miaoxian Guo's work include Advanced machining processes and optimization (24 papers), Advanced Surface Polishing Techniques (15 papers) and Advanced Machining and Optimization Techniques (9 papers). Miaoxian Guo is often cited by papers focused on Advanced machining processes and optimization (24 papers), Advanced Surface Polishing Techniques (15 papers) and Advanced Machining and Optimization Techniques (9 papers). Miaoxian Guo collaborates with scholars based in China and United States. Miaoxian Guo's co-authors include Zishan Ding, Xiaohui Jiang, Xiaohui Jiang, Steven Y. Liang, Lianfeng Wang, Chongjun Wu, Beizhi Li, Zhenya Zhang, Xiaogang Zhu and Biao Yan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Materials Processing Technology.

In The Last Decade

Miaoxian Guo

29 papers receiving 460 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Miaoxian Guo China 13 428 218 116 96 74 30 472
Joseba Pujana Spain 10 452 1.1× 243 1.1× 163 1.4× 120 1.3× 82 1.1× 10 530
Alexander Krödel Germany 12 329 0.8× 146 0.7× 102 0.9× 42 0.4× 38 0.5× 47 372
Pavel Zeman Czechia 11 370 0.9× 165 0.8× 140 1.2× 38 0.4× 70 0.9× 40 408
Da Qu China 15 379 0.9× 212 1.0× 209 1.8× 35 0.4× 79 1.1× 48 471
Basanta Kumar Nanda India 13 282 0.7× 194 0.9× 184 1.6× 47 0.5× 28 0.4× 34 374
Ryo Koike Japan 11 320 0.7× 82 0.4× 70 0.6× 137 1.4× 49 0.7× 49 363
Youzhi Fu China 12 359 0.8× 334 1.5× 111 1.0× 72 0.8× 22 0.3× 16 469
Zhichao Niu United Kingdom 8 331 0.8× 166 0.8× 118 1.0× 25 0.3× 44 0.6× 21 386
Miguel Arizmendi Spain 14 615 1.4× 291 1.3× 129 1.1× 32 0.3× 153 2.1× 32 647

Countries citing papers authored by Miaoxian Guo

Since Specialization
Citations

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

Fields of papers citing papers by Miaoxian Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miaoxian Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Miaoxian Guo. A scholar is included among the top collaborators of Miaoxian Guo 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 Miaoxian Guo. Miaoxian Guo 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.
Guo, Miaoxian, et al.. (2025). Prediction of surface roughness based on multi-input CNN-MHA in milling. The International Journal of Advanced Manufacturing Technology. 139(9-10). 4559–4574.
2.
Jiang, Xiaohui, Fei Ren, Xiao Liu, et al.. (2025). Multi-process aerospace components: Residual stress modeling and deformation optimization. International Journal of Mechanical Sciences. 309. 111077–111077. 1 indexed citations
3.
Wu, Chongjun, et al.. (2024). Analysis and modeling of removal energy in grinding of SiCp/Al considering matrix and reinforcement phase. Ceramics International. 51(8). 10762–10773. 1 indexed citations
4.
Guo, Miaoxian, et al.. (2024). A surface quality prediction model considering the machine-tool-material interactions. The International Journal of Advanced Manufacturing Technology. 131(7-8). 3937–3955. 3 indexed citations
5.
Ding, Zishan, et al.. (2023). Dislocation density and shear texture effects on grinding force during the grinding of maraging steel 3J33. Journal of Manufacturing Processes. 86. 311–325. 11 indexed citations
6.
Guo, Miaoxian, et al.. (2023). Prediction of surface roughness based on fused features and ISSA-DBN in milling of die steel P20. Scientific Reports. 13(1). 15951–15951. 9 indexed citations
7.
Ding, Zishan, et al.. (2023). An iterative blending integrating grinding force model considering grain size and dislocation density evolution. Advances in Manufacturing. 11(3). 428–443. 6 indexed citations
8.
Guo, Miaoxian, et al.. (2022). High-speed grinding fracture mechanism of Cf/SiC composite considering interfacial strength and anisotropy. Ceramics International. 49(2). 2600–2612. 43 indexed citations
9.
Guo, Miaoxian, et al.. (2022). An integrated machine-process-controller model to predict milling surface topography considering vibration suppression. Advances in Manufacturing. 10(3). 443–458. 18 indexed citations
10.
Guo, Miaoxian, et al.. (2022). The experimental study on interaction of vibration and dynamic force in precision milling process. The International Journal of Advanced Manufacturing Technology. 119(11-12). 7903–7919. 2 indexed citations
11.
Guo, Miaoxian, et al.. (2022). An unformed chip thickness approach to study the influence of process vibration on machining performance in milling. The International Journal of Advanced Manufacturing Technology. 120(7-8). 5363–5375. 6 indexed citations
12.
Guo, Miaoxian & Wenbo Zhu. (2021). Practice on Engineering Drawing Teaching Based on Persist in Cultivation of 3d Thinking Ability. 1 indexed citations
13.
Ding, Zishan, et al.. (2020). Effect of phase transition on micro-grinding-induced residual stress. Journal of Materials Processing Technology. 281. 116647–116647. 75 indexed citations
14.
Guo, Miaoxian, Yi Ye, Xiaohui Jiang, & Chongjun Wu. (2020). Comprehensive effect of multi-parameters on vibration in high-speed precision milling. The International Journal of Advanced Manufacturing Technology. 108(7-8). 2187–2195. 15 indexed citations
15.
Jiang, Xiaohui, Wenjing Xiong, Lianfeng Wang, Miaoxian Guo, & Zishan Ding. (2019). Heat treatment effects on microstructure-residual stress for selective laser melting AlSi10Mg. Materials Science and Technology. 36(2). 168–180. 25 indexed citations
16.
Jiang, Xiaohui, et al.. (2019). Modeling the effects of Undeformed Chip Volume (UCV) on residual stresses during the milling of curved thin-walled parts. International Journal of Mechanical Sciences. 167. 105162–105162. 54 indexed citations
17.
Ding, Zishan, et al.. (2019). Predictive Modeling of Microgrinding Force Incorporating Phase Transformation Effects. Journal of Manufacturing Science and Engineering. 141(8). 17 indexed citations
18.
Ding, Zishan, Xiaohui Jiang, Miaoxian Guo, & Steven Y. Liang. (2018). Investigation of the grinding temperature and energy partition during cylindrical grinding. The International Journal of Advanced Manufacturing Technology. 97(5-8). 1767–1778. 12 indexed citations
19.
Guo, Miaoxian, Beizhi Li, Jianguo Yang, & Steven Y. Liang. (2015). Study of experimental modal analysis method of machine tool spindle system. Journal of Vibroengineering. 17(6). 3173–3186. 6 indexed citations
20.
Guo, Miaoxian, Beizhi Li, Jianguo Yang, Wei Li, & Steven Y. Liang. (2015). Active Piezoelectric Vibration Isolation System of Machine Tools. 3 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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