Feng Jiao

1.6k total citations
114 papers, 1.1k citations indexed

About

Feng Jiao is a scholar working on Mechanical Engineering, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Feng Jiao has authored 114 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Mechanical Engineering, 73 papers in Biomedical Engineering and 63 papers in Electrical and Electronic Engineering. Recurrent topics in Feng Jiao's work include Advanced machining processes and optimization (83 papers), Advanced Surface Polishing Techniques (70 papers) and Advanced Machining and Optimization Techniques (57 papers). Feng Jiao is often cited by papers focused on Advanced machining processes and optimization (83 papers), Advanced Surface Polishing Techniques (70 papers) and Advanced Machining and Optimization Techniques (57 papers). Feng Jiao collaborates with scholars based in China, Cambodia and United Kingdom. Feng Jiao's co-authors include Ying Niu, Bo Zhao, Xiaobin Cui, Ziqiang Zhang, Guofu Gao, Yuanxiao Li, Dong Wang, Guangyun Gao, Bo Zhao and Junhao Wang and has published in prestigious journals such as Sensors, Chemical Engineering Science and Journal of Alloys and Compounds.

In The Last Decade

Feng Jiao

108 papers receiving 1.1k citations

Peers

Feng Jiao

EEE

IME

Liang Li China

Xiuting Wei China

Jin Xie China

Hanheng Du China

Dongkai Shangguan United States

R. Rentsch Germany

José Díaz‐Álvarez Spain

Chunzheng Duan China

János Kundrák Hungary

C.Y. Wang China

Liang Li China

Feng Jiao

1.1k ×1.3

698 ×1.1

444 ×0.7

EEE

311 ×2.7

135 ×1.2

IME

Citations per year, relative to Feng Jiao Feng Jiao (= 1×) peers Liang Li

Countries citing papers authored by Feng Jiao

Since Specialization

Citations

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

Fields of papers citing papers by Feng Jiao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Jiao

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Jiao. A scholar is included among the top collaborators of Feng Jiao 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 Feng Jiao. Feng Jiao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Jiao, Feng, et al.. (2025). Mechanical force modeling and experimental verification of ultrasonic vibration assisted milling of high volume fraction SiCp/AL. Journal of Alloys and Compounds. 1016. 178870–178870. 7 indexed citations

Li, Kexin, et al.. (2025). Photonic Crystal Hydrogel Film with Responsive Structural Color for Multifunctional Sensing. ACS Applied Polymer Materials. 7(7). 4270–4278. 1 indexed citations

He, Yongqing, et al.. (2025). Capture of a moving ferrofluid droplet in a minichannel with a nonuniform magnetic field. Chemical Engineering Science. 319. 122314–122314.

Li, Yuanxiao, Feng Jiao, Junjie Shen, et al.. (2025). Study on ultrasonic and low-frequency combined vibration-assisted drilling of CFRP/Ti stacks. Journal of Manufacturing Processes. 155. 1222–1242.

Jiao, Feng, et al.. (2024). Research on cutting force characteristics of laser ultrasonically assisted turning of cemented carbide. International Journal of Refractory Metals and Hard Materials. 122. 106726–106726. 7 indexed citations

Cheng, Zihao, et al.. (2024). Numerical simulation of solid-liquid phase change heat transfer enhanced by non-uniform tree fins during consecutive charging and discharging processes. Journal of Energy Storage. 100. 113641–113641. 1 indexed citations

Wang, Junhao, et al.. (2024). Research on tool wear and surface quality in laser-assisted ultrasonic elliptical vibration cutting of cemented carbide. Tribology International. 193. 109389–109389. 24 indexed citations

Song, Chaosheng, Daohui Xiang, Bo Zhao, et al.. (2024). Improving wear resistance and machining performance of diamond tools in ferrous metals cutting: A review. Journal of Materials Processing Technology. 334. 118618–118618. 12 indexed citations

Qiu, Y., et al.. (2024). Research on temperature characteristics and the machining process in laser ultrasonic-assisted milling of cemented carbide. International Journal of Refractory Metals and Hard Materials. 128. 107031–107031. 3 indexed citations

10.

Zhang, Yujie, Yujie Li, Chenwei Shan, et al.. (2024). Cutting force prediction model considering tool-chip contact interface friction behavior in ULTVAM of Ti-6Al-4V. Chinese Journal of Aeronautics. 38(6). 103212–103212. 5 indexed citations

11.

Xiang, Daohui, et al.. (2024). Prediction of undeformed chip thickness distribution and surface roughness in ultrasonic vibration grinding of inner hole of bearings. Journal of Zhejiang University. Science A. 25(4). 311–323. 2 indexed citations

12.

Ai, The Jin, et al.. (2023). An improved deep reinforcement learning approach: A case study for optimisation of berth and yard scheduling for bulk cargo terminal. Advances in Production Engineering & Management. 18(3). 303–316. 7 indexed citations

13.

Xiang, Daohui, Binghao Li, Xiaofei Lei, et al.. (2023). Mechanism and experimental evaluation on surface morphology of GCr15SiMn with ultrasonic vibration grinding. The International Journal of Advanced Manufacturing Technology. 131(5-6). 2377–2387. 5 indexed citations

14.

Jiao, Feng, et al.. (2023). Dressing principle and parameter optimization of ultrasonic-assisted diamond roller dressing WA grinding wheel using response surface methodology and genetic algorithm. The International Journal of Advanced Manufacturing Technology. 131(5-6). 2551–2568. 3 indexed citations

15.

Li, Yuanxiao, Feng Jiao, Ziqiang Zhang, Xue Wang, & Ying Niu. (2023). Mechanical drilling force model for longitudinal ultrasonic vibration-assisted drilling of unidirectional CFRP. Journal of Materials Processing Technology. 319. 118091–118091. 21 indexed citations

16.

Jiao, Feng, et al.. (2022). Modeling and optimization of longitudinal-torsional vibration horn with the large tool head. Applied Acoustics. 197. 108902–108902. 8 indexed citations

17.

Jiao, Feng, et al.. (2012). Development of ultrasound elliptical cutting device and study on its cutting performance. 1–5. 2 indexed citations

18.

Zhao, Bo, et al.. (2012). Finite element analysis of the amplitude transformer in ultrasonic vibration system. 1–6. 1 indexed citations

19.

Jiao, Feng, et al.. (2011). Determination of Oxacillin with Some Basic Triphenylmethane Dyes by Resonance Rayleigh Scattering. Chinese Journal of Applied Chemistry. 28(3). 355–360. 1 indexed citations

20.

Jiao, Feng. (2010). Research on Professional Safety Evaluation System of High-Speed Railway Drivers Based on Competence. Journal of Beijing Jiaotong University.

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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