Fengzhou Fang

16.4k total citations · 4 hit papers
431 papers, 12.4k citations indexed

About

Fengzhou Fang is a scholar working on Biomedical Engineering, Mechanical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Fengzhou Fang has authored 431 papers receiving a total of 12.4k indexed citations (citations by other indexed papers that have themselves been cited), including 265 papers in Biomedical Engineering, 172 papers in Mechanical Engineering and 124 papers in Electrical and Electronic Engineering. Recurrent topics in Fengzhou Fang's work include Advanced Surface Polishing Techniques (196 papers), Diamond and Carbon-based Materials Research (84 papers) and Advanced machining processes and optimization (75 papers). Fengzhou Fang is often cited by papers focused on Advanced Surface Polishing Techniques (196 papers), Diamond and Carbon-based Materials Research (84 papers) and Advanced machining processes and optimization (75 papers). Fengzhou Fang collaborates with scholars based in China, Ireland and Germany. Fengzhou Fang's co-authors include Xiaodong Zhang, Chengwei Kang, Nan Zhang, Jinshi Wang, Wei Han, Zongwei Xu, Ruslan Melentiev, Guoqing Zhang, Xiao Hu and Min Lai and has published in prestigious journals such as Physical Review Letters, Nature Communications and The Journal of Chemical Physics.

In The Last Decade

Fengzhou Fang

409 papers receiving 11.8k citations

Hit Papers

Manufacturing and measure... 2013 2026 2017 2021 2013 2021 2019 2019 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fengzhou Fang China 53 7.1k 6.1k 3.1k 3.1k 2.1k 431 12.4k
Chiara Daraio United States 64 6.4k 0.9× 4.2k 0.7× 2.4k 0.8× 1.1k 0.4× 1.4k 0.7× 262 13.8k
Placid M. Ferreira United States 52 5.0k 0.7× 2.3k 0.4× 1.4k 0.4× 4.7k 1.5× 1.1k 0.5× 185 9.7k
Nicholas X. Fang United States 69 15.9k 2.2× 5.6k 0.9× 3.1k 1.0× 4.6k 1.5× 677 0.3× 270 27.0k
Han Huang China 64 6.2k 0.9× 6.7k 1.1× 4.6k 1.5× 3.1k 1.0× 753 0.4× 533 14.6k
Xuesong Mei China 47 2.6k 0.4× 3.2k 0.5× 1.5k 0.5× 2.9k 1.0× 2.5k 1.2× 505 9.4k
Qing‐Hua Qin China 60 2.5k 0.4× 5.1k 0.8× 4.1k 1.3× 1.7k 0.5× 1.2k 0.6× 700 15.1k
Xiaodong Huang Australia 62 2.3k 0.3× 3.0k 0.5× 1.2k 0.4× 1.3k 0.4× 653 0.3× 331 12.9k
Katia Bertoldi United States 78 13.8k 1.9× 14.1k 2.3× 1.7k 0.5× 607 0.2× 1.1k 0.5× 221 23.6k
Frank Mücklich Germany 56 2.0k 0.3× 5.5k 0.9× 5.2k 1.7× 1.6k 0.5× 1.4k 0.6× 535 11.8k
Gürsel Alıcı Australia 61 8.2k 1.2× 2.7k 0.4× 806 0.3× 1.9k 0.6× 462 0.2× 366 12.5k

Countries citing papers authored by Fengzhou Fang

Since Specialization
Citations

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

Fields of papers citing papers by Fengzhou Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fengzhou Fang

This figure shows the co-authorship network connecting the top 25 collaborators of Fengzhou Fang. A scholar is included among the top collaborators of Fengzhou Fang 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 Fengzhou Fang. Fengzhou Fang 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.
Ma, Xu, Min Lai, & Fengzhou Fang. (2025). Deformation mechanism of gallium nitride in nanometric cutting. Advances in Manufacturing. 13(4). 689–700.
2.
Lai, Min, et al.. (2024). Material deformation mechanism of polycrystalline tin in nanometric cutting. Journal of Manufacturing Processes. 132. 735–743. 2 indexed citations
3.
Chen, Yixin, Fengzhou Fang, & Nan Zhang. (2024). Advance in additive manufacturing of 2D materials at the atomic and close-to-atomic scale. npj 2D Materials and Applications. 8(1). 28 indexed citations
4.
Lyu, Peng, Fengzhou Fang, & Daniel Meyer. (2024). Nanometric cutting of plasma modified polycrystalline tin. CIRP Annals. 73(1). 33–36. 1 indexed citations
5.
You, Kaiyuan, Guangyu Liu, Wei Wang, & Fengzhou Fang. (2023). Laser assisted diamond turning of silicon freeform surface. Journal of Materials Processing Technology. 322. 118172–118172. 18 indexed citations
6.
Wang, Jinshi & Fengzhou Fang. (2023). Controllable removal of silicon carbide at nano scale by ion-implantation assisted laser machining. CIRP Annals. 72(1). 181–184. 4 indexed citations
7.
Wang, Xinchang, et al.. (2023). All-Optical High-Resolution On-Chip Pressure Sensing Method Based on Tunable Liquid-Core/Liquid-Cladding Waveguide. IEEE Sensors Journal. 24(2). 1287–1295. 1 indexed citations
8.
Wang, Jinshi, et al.. (2023). Laser machining fundamentals: micro, nano, atomic and close-to-atomic scales. International Journal of Extreme Manufacturing. 5(1). 12005–12005. 82 indexed citations
9.
Castelli, Marco, et al.. (2023). Polishing Approaches at Atomic and Close-to-Atomic Scale. Micromachines. 14(2). 343–343. 22 indexed citations
10.
Fang, Fengzhou, et al.. (2023). Advances in polishing of internal structures on parts made by laser-based powder bed fusion. Frontiers of Mechanical Engineering. 18(1). 8 indexed citations
11.
Ren, Zhonghe, et al.. (2023). Appearance-based gaze estimation with feature fusion of multi-level information elements. Journal of Computational Design and Engineering. 10(3). 1080–1109. 5 indexed citations
12.
Chen, Chenghao, et al.. (2023). Thermal oxidation polishing of pressureless sintered silicon carbide. Ceramics International. 50(5). 7860–7867. 6 indexed citations
13.
Li, Yuzhu, Min Lai, & Fengzhou Fang. (2022). Effects of polishing speed and a water environment on the mechanism of nanometric mechanical polishing of single-crystal lutetium oxide. Materials Today Communications. 30. 103194–103194. 12 indexed citations
14.
Fang, Fengzhou. (2022). The three paradigms of manufacturing advancement. Journal of Manufacturing Systems. 63. 504–505. 36 indexed citations
15.
Zhang, Yunfei, Fengzhou Fang, Lili Wang, et al.. (2020). Effects of functional alkali in magnetorheological finishing fluid. Smart Materials and Structures. 30(2). 24001–24001. 10 indexed citations
16.
Hao, Ran, et al.. (2020). A Miniaturized and Fast System for Thin Film Thickness Measurement. Applied Sciences. 10(20). 7284–7284. 7 indexed citations
17.
You, Kaiyuan, Guangpeng Yan, Xichun Luo, Michael D. Gilchrist, & Fengzhou Fang. (2020). Advances in laser assisted machining of hard and brittle materials. Journal of Manufacturing Processes. 58. 677–692. 183 indexed citations
18.
Zhang, Yue, Guangpeng Yan, Zexiao Li, & Fengzhou Fang. (2019). Quality improvement of collimating lens produced by precision glass molding according to performance evaluation. Optics Express. 27(4). 5033–5033. 20 indexed citations
19.
Yan, Guangpeng & Fengzhou Fang. (2019). Fabrication of optical freeform molds using slow tool servo with wheel normal grinding. CIRP Annals. 68(1). 341–344. 21 indexed citations
20.
Zhang, Haoyang, Fengzhou Fang, Michael D. Gilchrist, & Nan Zhang. (2018). Filling of high aspect ratio micro features of a microfluidic flow cytometer chip using micro injection moulding. Journal of Micromechanics and Microengineering. 28(7). 75005–75005. 20 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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