Yebing Mao

1.4k total citations
40 papers, 1.2k citations indexed

About

Yebing Mao is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics and Aerospace Engineering. According to data from OpenAlex, Yebing Mao has authored 40 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Fluid Flow and Transfer Processes, 36 papers in Computational Mechanics and 18 papers in Aerospace Engineering. Recurrent topics in Yebing Mao's work include Advanced Combustion Engine Technologies (40 papers), Combustion and flame dynamics (30 papers) and Combustion and Detonation Processes (13 papers). Yebing Mao is often cited by papers focused on Advanced Combustion Engine Technologies (40 papers), Combustion and flame dynamics (30 papers) and Combustion and Detonation Processes (13 papers). Yebing Mao collaborates with scholars based in China and Singapore. Yebing Mao's co-authors include Liang Yu, Xingcai Lü, Yong Qian, Sixu Wang, Mohsin Raza, Zhiyong Wu, Jizhen Zhu, Lei Zhu, Xingcai Lü and Yuan Feng and has published in prestigious journals such as Energy, Fuel and Molecules.

In The Last Decade

Yebing Mao

39 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
Yebing Mao China 23 1.1k 772 360 352 308 40 1.2k
Chunsheng Ji United States 18 1.0k 1.0× 878 1.1× 320 0.9× 303 0.9× 180 0.6× 29 1.1k
J.C.G. Andrae Sweden 15 1.0k 1.0× 856 1.1× 276 0.8× 369 1.0× 221 0.7× 24 1.1k
Sixu Wang China 21 774 0.7× 594 0.8× 292 0.8× 356 1.0× 251 0.8× 46 1.0k
Trupti Kathrotia Germany 22 902 0.9× 749 1.0× 282 0.8× 261 0.7× 236 0.8× 50 1.2k
Robert Schießl Germany 19 1.0k 1.0× 908 1.2× 422 1.2× 250 0.7× 214 0.7× 75 1.3k
Roberto Barberena Graña Italy 9 1.1k 1.1× 967 1.3× 296 0.8× 549 1.6× 234 0.8× 13 1.4k
Xingjia Man China 16 732 0.7× 426 0.6× 241 0.7× 386 1.1× 208 0.7× 22 887
Alan Kéromnès France 11 812 0.8× 692 0.9× 403 1.1× 140 0.4× 153 0.5× 26 1.0k
Francis M. Haas United States 17 1.0k 1.0× 811 1.1× 368 1.0× 335 1.0× 302 1.0× 55 1.4k
James J. Scire United States 7 640 0.6× 584 0.8× 294 0.8× 142 0.4× 180 0.6× 13 839

Countries citing papers authored by Yebing Mao

Since Specialization
Citations

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

Fields of papers citing papers by Yebing Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yebing Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Yebing Mao. A scholar is included among the top collaborators of Yebing Mao 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 Yebing Mao. Yebing Mao 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.
Huang, Sheng, et al.. (2024). Measurements of laminar and turbulent flame propagation of iso-octane/air and iso-cetane/air mixtures at elevated pressures and temperatures. Combustion and Flame. 265. 113510–113510. 3 indexed citations
2.
Mao, Yebing, Yunkai Gao, Chao Yang, et al.. (2023). An investigation on the laminar flame propagation and auto-ignition characteristics of a coal-derived rocket kerosene-Part I: Experimental study. Fuel. 352. 129004–129004. 3 indexed citations
3.
4.
5.
Mao, Yebing, et al.. (2022). Experimental and kinetic modeling study on ignition characteristic of 0# diesel in a shock tube. Combustion and Flame. 242. 112171–112171. 10 indexed citations
6.
Zhu, Jizhen, Jing Li, Sixu Wang, et al.. (2021). Ignition delay time measurements and kinetic modeling of methane/diesel mixtures at elevated pressures. Combustion and Flame. 229. 111390–111390. 22 indexed citations
7.
Zhu, Jizhen, Sixu Wang, Mohsin Raza, et al.. (2021). Autoignition behavior of methanol/diesel mixtures: Experiments and kinetic modeling. Combustion and Flame. 228. 1–12. 37 indexed citations
8.
Zhu, Jizhen, Mohsin Raza, Jing Li, et al.. (2020). Impact of small-amount diesel addition on methane ignition behind reflected shock waves: Experiments and modeling. Fuel. 288. 119672–119672. 6 indexed citations
9.
Raza, Mohsin, Jizhen Zhu, Yebing Mao, Sixu Wang, & Xingcai Lü. (2020). The autoignition of Heptamethylnonane at moderate-to-high temperatures and elevated pressures: Shock tube study and improved chemical kinetic model. Fuel. 281. 118787–118787. 9 indexed citations
10.
Feng, Yuan, Jizhen Zhu, Yebing Mao, et al.. (2020). Low-temperature auto-ignition characteristics of NH3/diesel binary fuel: Ignition delay time measurement and kinetic analysis. Fuel. 281. 118761–118761. 108 indexed citations
11.
Raza, Mohsin, Yong Qian, Sixu Wang, et al.. (2020). The experimental study of autoignition of tetralin at intermediate-to-high temperatures. Fuel. 266. 117081–117081. 11 indexed citations
12.
Ruan, Can, Feier Chen, Tao Yu, et al.. (2020). Experimental study on combustion stability characteristics in liquid-fueled gas turbine model combustor: Fuel sensitivities and flame/flow dynamics. Fuel. 265. 116973–116973. 31 indexed citations
13.
Raza, Mohsin, Yebing Mao, Liang Yu, & Xingcai Lü. (2019). Insights into the Effects of Mechanism Reduction on the Performance of n-Decane and Its Ability to Act as a Single-Component Surrogate for Jet Fuels. Energy & Fuels. 33(8). 7778–7790. 8 indexed citations
14.
Wang, Sixu, Yuan Feng, Yong Qian, et al.. (2019). Experimental and kinetic study of diesel/gasoline surrogate blends over wide temperature and pressure. Combustion and Flame. 213. 369–381. 20 indexed citations
15.
Mao, Yebing, Ang Li, Lei Zhu, et al.. (2019). A detailed chemical mechanism for low to high temperature oxidation of n-butylcyclohexane and its validation. Combustion and Flame. 210. 360–373. 23 indexed citations
16.
Mao, Yebing, Yuan Feng, Zhiyong Wu, et al.. (2019). The autoignition of iso-dodecane in low to high temperature range: An experimental and modeling study. Combustion and Flame. 210. 222–235. 25 indexed citations
17.
Mao, Yebing, Mohsin Raza, Zhiyong Wu, et al.. (2019). An experimental study of n-dodecane and the development of an improved kinetic model. Combustion and Flame. 212. 388–402. 42 indexed citations
18.
Chen, Feier, Can Ruan, Tao Yu, et al.. (2019). Effects of fuel variation and inlet air temperature on combustion stability in a gas turbine model combustor. Aerospace Science and Technology. 92. 126–138. 68 indexed citations
19.
Yu, Liang, Yebing Mao, Ang Li, et al.. (2019). Experimental and modeling validation of a large diesel surrogate: Autoignition in heated rapid compression machine and oxidation in flow reactor. Combustion and Flame. 202. 195–207. 37 indexed citations
20.
Wang, Sixu, Yebing Mao, Mohsin Raza, Liang Yu, & Xingcai Lü. (2019). Autoignition of diesel/oxygen/nitrogen mixture under elevated temperature in a heated shock tube. Fuel. 254. 115635–115635. 27 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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