Yan Bao

1.8k total citations
91 papers, 1.2k citations indexed

About

Yan Bao is a scholar working on Mechanical Engineering, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Yan Bao has authored 91 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Mechanical Engineering, 63 papers in Biomedical Engineering and 31 papers in Electrical and Electronic Engineering. Recurrent topics in Yan Bao's work include Advanced machining processes and optimization (63 papers), Advanced Surface Polishing Techniques (62 papers) and Advanced Machining and Optimization Techniques (25 papers). Yan Bao is often cited by papers focused on Advanced machining processes and optimization (63 papers), Advanced Surface Polishing Techniques (62 papers) and Advanced Machining and Optimization Techniques (25 papers). Yan Bao collaborates with scholars based in China, United States and Canada. Yan Bao's co-authors include Zhigang Dong, Renke Kang, Renke Kang, Xiaoguang Guo, Hao Wang, Zhuji Jin, Zhongwang Wang, Dongming Guo, Wenhao Du and Bin Wang and has published in prestigious journals such as Journal of the American Ceramic Society, Composites Part B Engineering and Journal of Materials Processing Technology.

In The Last Decade

Yan Bao

83 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yan Bao China 22 982 804 419 170 155 91 1.2k
Donka Novovic United Kingdom 15 1.1k 1.1× 618 0.8× 439 1.0× 237 1.4× 115 0.7× 26 1.2k
Chongjun Wu China 17 843 0.9× 760 0.9× 287 0.7× 178 1.0× 106 0.7× 64 1.1k
Chinmaya R. Dandekar United States 11 1.2k 1.3× 662 0.8× 554 1.3× 265 1.6× 145 0.9× 15 1.4k
Sanjay Agarwal India 18 1.1k 1.2× 980 1.2× 677 1.6× 138 0.8× 72 0.5× 50 1.3k
K. Venkatesan India 20 1.1k 1.1× 452 0.6× 656 1.6× 142 0.8× 97 0.6× 56 1.2k
Shuoshuo Qu China 20 1.0k 1.0× 703 0.9× 316 0.8× 135 0.8× 200 1.3× 59 1.2k
Yejun Zhu China 19 1.2k 1.3× 844 1.0× 452 1.1× 253 1.5× 83 0.5× 58 1.4k
Jun Zhao China 25 1.3k 1.3× 571 0.7× 465 1.1× 344 2.0× 125 0.8× 95 1.4k
Qing Miao China 21 1.3k 1.3× 705 0.9× 400 1.0× 294 1.7× 102 0.7× 59 1.4k
Chunzheng Duan China 19 840 0.9× 465 0.6× 220 0.5× 264 1.6× 71 0.5× 64 942

Countries citing papers authored by Yan Bao

Since Specialization
Citations

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

Fields of papers citing papers by Yan Bao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Bao

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Bao. A scholar is included among the top collaborators of Yan Bao 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 Yan Bao. Yan Bao 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.
Dong, Zhigang, et al.. (2025). Tool wear mechanism in ultrasonic-assisted grinding of SiCf/SiC composites. Ultrasonics. 160. 107920–107920.
2.
Bao, Yan, et al.. (2025). Experimental study of surface quality and damage in grinding CFRP circular honeycomb cell with diamond saw blade. Journal of Materials Research and Technology. 38. 4150–4169.
3.
Yang, Feng, et al.. (2025). Study on the forming process of femtosecond laser multi-layer cutting Cf/SiC composites. Optics and Lasers in Engineering. 187. 108869–108869. 3 indexed citations
4.
Kang, Renke, et al.. (2025). Ultrasonic assisted grinding mechanisms of SiCf/SiC composites driven by strain-rate. International Journal of Mechanical Sciences. 287. 109926–109926. 13 indexed citations
5.
Su, Hao, et al.. (2025). Formation mechanism of ductile surface in ultrasonic elliptical vibration cutting of tungsten alloys basing on cemented carbide tools. Journal of Materials Research and Technology. 35. 5782–5795. 6 indexed citations
6.
Bao, Yan, et al.. (2024). Prediction and analysis of grinding burr of CFRP circular tube with a rounded corner grinding wheel. Journal of Manufacturing Processes. 133. 249–259. 5 indexed citations
7.
Dong, Zhigang, et al.. (2024). Surface microstructure evolution analysis of Inconel 718 during ultrasonic vibration-assisted grinding using FEM. Journal of Manufacturing Processes. 127. 631–644. 7 indexed citations
8.
Bao, Yan, et al.. (2024). Research on axial cutting force fluctuation and periodicity in helical milling of CFRP. The International Journal of Advanced Manufacturing Technology. 133(9-10). 4823–4831. 4 indexed citations
9.
Yang, Feng, Renke Kang, Zhigang Dong, et al.. (2024). Laser ablation behavior and mechanism of Cf/C–SiC composites under different laser energy densities. Composites Part B Engineering. 276. 111359–111359. 28 indexed citations
10.
Dong, Zhigang, et al.. (2024). Tool wear in cutting carbon fiber reinforced polymer/ceramic matrix composites: A review. Composite Structures. 337. 118033–118033. 12 indexed citations
11.
Qin, Fengming, et al.. (2024). Effect of micromorphology on measurement of residual stress of ground silicon wafers using Raman spectroscopy. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 46(8).
12.
Li, G., et al.. (2023). An online monitoring methodology for grinding state identification based on real-time signal of CNC grinding machine. Mechanical Systems and Signal Processing. 200. 110540–110540. 20 indexed citations
13.
Kang, Renke, et al.. (2023). Effect of tool wear on machining quality in milling Cf/SiC composites with PCD tool. Journal of Manufacturing Processes. 105. 370–385. 29 indexed citations
14.
Guo, Xiaoguang, et al.. (2023). Effects of ultrasonic vibration cutting trajectories on chip formation of tungsten alloys. Journal of Manufacturing Processes. 92. 147–156. 26 indexed citations
15.
Kang, Renke, et al.. (2023). Multi-scale machining damages of CFRP circular cell honeycomb during end face machining. Journal of Manufacturing Processes. 86. 282–293. 15 indexed citations
16.
Kang, Renke, et al.. (2023). Insight into crack propagation induced by fiber orientations during single grain scratching of SiCf/SiC composites using FEM. Composites Part A Applied Science and Manufacturing. 177. 107928–107928. 28 indexed citations
17.
Dong, Zhigang, et al.. (2022). Mechanical modeling of ultrasonic vibration helical grinding of SiCf/SiC composites. International Journal of Mechanical Sciences. 234. 107701–107701. 48 indexed citations
18.
Wang, Shilei, Yan Bao, Chunqiu Zhang, et al.. (2018). Strain distribution of repaired articular cartilage defects by tissue engineering under compression loading. Journal of Orthopaedic Surgery and Research. 13(1). 19–19. 10 indexed citations
19.
Shah, Amit, et al.. (2015). Does the Field of Study Influence the Choice of Leadership? A Cross Cultural Comparison of Business vs Non-Business Majors.. Research in higher education journal. 28.
20.
Bao, Yan. (2008). Structural analysis of truck crane chassis based on APDL.

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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