Zhenping Feng

5.8k total citations
365 papers, 4.5k citations indexed

About

Zhenping Feng is a scholar working on Mechanical Engineering, Aerospace Engineering and Computational Mechanics. According to data from OpenAlex, Zhenping Feng has authored 365 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 281 papers in Mechanical Engineering, 261 papers in Aerospace Engineering and 210 papers in Computational Mechanics. Recurrent topics in Zhenping Feng's work include Turbomachinery Performance and Optimization (227 papers), Heat Transfer Mechanisms (181 papers) and Fluid Dynamics and Turbulent Flows (118 papers). Zhenping Feng is often cited by papers focused on Turbomachinery Performance and Optimization (227 papers), Heat Transfer Mechanisms (181 papers) and Fluid Dynamics and Turbulent Flows (118 papers). Zhenping Feng collaborates with scholars based in China, United States and Japan. Zhenping Feng's co-authors include Jun Li, Qinghua Deng, Xiongwen Zhang, Xing Yang, Liming Song, Guojun Li, Xin Yan, Zhigang Li, Jun Li and Zhao Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Power Sources and Applied Energy.

In The Last Decade

Zhenping Feng

341 papers receiving 4.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhenping Feng China 31 3.0k 2.4k 2.0k 513 397 365 4.5k
Jingzhou Zhang China 33 2.4k 0.8× 2.1k 0.9× 2.3k 1.1× 161 0.3× 325 0.8× 274 4.0k
Michele Pinelli Italy 28 1.3k 0.4× 1.1k 0.5× 807 0.4× 119 0.2× 399 1.0× 256 3.0k
Hee Cheon No South Korea 29 1.6k 0.5× 1.2k 0.5× 876 0.4× 692 1.3× 162 0.4× 188 3.0k
Yonghui Xie China 32 2.1k 0.7× 1.2k 0.5× 1.2k 0.6× 99 0.2× 112 0.3× 207 3.3k
Ricardo Martinez-Botas United Kingdom 36 1.6k 0.5× 1.9k 0.8× 1.4k 0.7× 177 0.3× 961 2.4× 210 4.1k
Terrence W. Simon United States 35 3.3k 1.1× 2.0k 0.8× 2.4k 1.2× 134 0.3× 223 0.6× 292 4.3k
Hector Iacovides United Kingdom 34 1.7k 0.5× 963 0.4× 2.2k 1.1× 105 0.2× 186 0.5× 165 2.9k
Larry K.B. Li Hong Kong 35 824 0.3× 915 0.4× 1.3k 0.6× 442 0.9× 287 0.7× 108 3.2k
Atul Sharma India 31 727 0.2× 855 0.4× 2.5k 1.3× 162 0.3× 403 1.0× 147 3.4k
Jin-yuan Qian China 32 1.6k 0.5× 718 0.3× 416 0.2× 257 0.5× 343 0.9× 147 3.0k

Countries citing papers authored by Zhenping Feng

Since Specialization
Citations

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

Fields of papers citing papers by Zhenping Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenping Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenping Feng. A scholar is included among the top collaborators of Zhenping Feng 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 Zhenping Feng. Zhenping Feng 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.
Tao, Yong, Zhao Liu, Yudong Liu, Weixin Zhang, & Zhenping Feng. (2024). An investigation on film cooling and aerodynamic performance of squealer blade tip with inclined cavity bottom. International Journal of Heat and Fluid Flow. 107. 109434–109434. 5 indexed citations
2.
Liao, Jianxin, et al.. (2024). Flow mechanism and back gap windage loss of a sCO2 radial inflow turbine with impeller scallops. The Journal of Supercritical Fluids. 216. 106453–106453. 2 indexed citations
3.
Song, Yu, et al.. (2024). Experimental investigation on cooling performance and heat transfer characteristics of the ribbed endwall with upstream leakage. International Communications in Heat and Mass Transfer. 157. 107776–107776. 2 indexed citations
4.
5.
Song, Yu, et al.. (2024). Effects of rim seal exit geometry on the cooling characteristics of turbine endwall and blade suction side. Thermal Science and Engineering Progress. 54. 102797–102797. 2 indexed citations
6.
Li, Feng, et al.. (2024). A conjugate study on the application of combined impingement and film cooling for a turbine blade tip. Applied Thermal Engineering. 252. 123594–123594. 3 indexed citations
7.
Zhang, Weixin, et al.. (2024). Experimental and numerical investigation on middle passage gap leakage with different mass flow rate and injection angle on turbine endwall. International Journal of Heat and Fluid Flow. 109. 109533–109533. 5 indexed citations
8.
Guo, Zhendong, et al.. (2024). Knowledge transfer accelerated turbine blade optimization via an sample-weighted variational autoencoder. Aerospace Science and Technology. 147. 108998–108998. 4 indexed citations
9.
Li, Jialong, et al.. (2024). Conjugate heat transfer effects of tri-periodic minimal surfaces on cooling performance in turbine internal cooling channels. International Journal of Heat and Mass Transfer. 236. 126331–126331. 1 indexed citations
10.
11.
Wang, Huihui, Qinghua Deng, & Zhenping Feng. (2024). Heat Transfer and Flow Characteristics of Channel Impingement Cooling Structure at Leading Edge Inside Turbine Blades Using Large Eddy Simulation. ASME Journal of Heat and Mass Transfer. 146(5). 1 indexed citations
12.
Li, Feng, Zhao Liu, & Zhenping Feng. (2023). Experimental and computational assessment into the heat transfer for the blade multicavity tips. Applied Thermal Engineering. 230. 120741–120741. 6 indexed citations
13.
Deng, Qinghua, et al.. (2023). Model of skin friction coefficient in a supercritical CO2 turbine-alternator-compressor unit. The Journal of Supercritical Fluids. 201. 106027–106027. 3 indexed citations
14.
Yang, Xing, et al.. (2023). Unsteady modeling of particle deposition effects on aerodynamics and heat transfer in turbine stator passages with mesh morphing. International Journal of Thermal Sciences. 190. 108326–108326. 9 indexed citations
15.
16.
Yang, Xing, Qiang Zhao, Hang Wu, & Zhenping Feng. (2023). Film cooling effectiveness from upstream purge slots of a turbine vane endwall: Experiment, modeling, and correlation. International Journal of Heat and Mass Transfer. 219. 124899–124899. 8 indexed citations
17.
He, Juan, et al.. (2022). Effects of circumferential ribs on suppressing cross-flow and enhancing heat transfer in swirl cooling. International Journal of Thermal Sciences. 181. 107785–107785. 6 indexed citations
18.
Yang, Xing, et al.. (2022). Effects of blade lean on internal swirl cooling at turbine blade leading edges. International Journal of Heat and Mass Transfer. 194. 123111–123111. 7 indexed citations
19.
He, Ya‐Ling, et al.. (2021). Numerical study of SALSCS demonstration unit in Xi 'an, China, with non-uniform solar irradiation. International Journal of Heat and Mass Transfer. 173. 121211–121211. 2 indexed citations
20.
Wang, Zhiduo, et al.. (2018). Heat transfer analyses of film-cooled HP turbine vane considering effects of swirl and hot streak. Applied Thermal Engineering. 142. 815–829. 49 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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