Zhenyang Ming

545 total citations
21 papers, 403 citations indexed

About

Zhenyang Ming is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics and Automotive Engineering. According to data from OpenAlex, Zhenyang Ming has authored 21 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Fluid Flow and Transfer Processes, 16 papers in Computational Mechanics and 5 papers in Automotive Engineering. Recurrent topics in Zhenyang Ming's work include Advanced Combustion Engine Technologies (20 papers), Combustion and flame dynamics (15 papers) and Vehicle emissions and performance (5 papers). Zhenyang Ming is often cited by papers focused on Advanced Combustion Engine Technologies (20 papers), Combustion and flame dynamics (15 papers) and Vehicle emissions and performance (5 papers). Zhenyang Ming collaborates with scholars based in China, Hong Kong and United Kingdom. Zhenyang Ming's co-authors include Yanqing Cui, Haifeng Liu, Mingsheng Wen, Mingfa Yao, Lei Feng, Zunqing Zheng, Chao Jin, Zongyu Yue, Zhao Zhang and Can Wang and has published in prestigious journals such as Journal of Cleaner Production, Energy Conversion and Management and Energy.

In The Last Decade

Zhenyang Ming

19 papers receiving 392 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhenyang Ming China 12 303 187 122 112 106 21 403
Mingsheng Wen China 13 391 1.3× 211 1.1× 168 1.4× 150 1.3× 169 1.6× 27 532
Sijie Luo China 8 210 0.7× 102 0.5× 50 0.4× 93 0.8× 122 1.2× 17 316
Mingke Xie China 12 220 0.7× 157 0.8× 50 0.4× 63 0.6× 186 1.8× 21 473
Kenneth Kar United States 11 347 1.1× 153 0.8× 99 0.8× 216 1.9× 217 2.0× 20 462
Joshua Lacey Australia 14 431 1.4× 391 2.1× 61 0.5× 136 1.2× 115 1.1× 42 578
Chang Zhai Japan 10 229 0.8× 184 1.0× 45 0.4× 70 0.6× 61 0.6× 27 301
Je Ir Ryu United States 12 254 0.8× 225 1.2× 76 0.6× 49 0.4× 29 0.3× 31 423
Dimitris Assanis United States 12 295 1.0× 214 1.1× 84 0.7× 75 0.7× 91 0.9× 48 363
Pascal Higelin France 13 185 0.6× 109 0.6× 40 0.3× 96 0.9× 124 1.2× 31 389
Fouad Ammouri France 8 100 0.3× 103 0.6× 151 1.2× 30 0.3× 107 1.0× 16 390

Countries citing papers authored by Zhenyang Ming

Since Specialization
Citations

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

Fields of papers citing papers by Zhenyang Ming

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenyang Ming

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenyang Ming. A scholar is included among the top collaborators of Zhenyang Ming 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 Zhenyang Ming. Zhenyang Ming 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.
Ming, Zhenyang, Chao Jin, Haifeng Liu, et al.. (2025). Unravelling the instability mechanism of methanol spray flame and its enhancement by cetane additives. Combustion and Flame. 285. 114724–114724.
2.
Zhang, Zhibing, Yinlu Han, Haifeng Liu, et al.. (2025). Effect of high-pressure spray spatiotemporal interaction on combustion and emissions in a large-bore locomotive methanol/diesel dual-fuel engine. Energy. 339. 138942–138942. 1 indexed citations
3.
Tang, Qinglong, et al.. (2025). Unlocking ammonia engines: pre-chamber ignition with partial ammonia cracking. Energy. 335. 137961–137961. 1 indexed citations
4.
Wen, Mingsheng, Haifeng Liu, Yanqing Cui, et al.. (2024). A study on optical diagnostics and numerical simulation of dual fuel combustion using ammonia and n-heptane. Energy. 313. 133977–133977. 6 indexed citations
5.
Wen, Mingsheng, Yanqing Cui, Haifeng Liu, Zhenyang Ming, & Mingfa Yao. (2024). Optical study of combustion stability in dual fuel approach using ammonia and high reactivity fuel. Energy Conversion and Management. 319. 118910–118910. 20 indexed citations
6.
Wen, Mingsheng, Haifeng Liu, Zongyu Yue, et al.. (2024). A study of ammonia combustion induced by high reactivity fuel based on optical diagnostics and chemical kinetic analyses. Combustion and Flame. 272. 113896–113896. 6 indexed citations
7.
8.
Liu, Haifeng, Yanqing Cui, Mingsheng Wen, et al.. (2024). Optical diagnostics and chemical kinetic analysis on partially premixed combustion characteristics fueled with methanol and various cetane improvers. Proceedings of the Combustion Institute. 40(1-4). 105214–105214. 6 indexed citations
9.
Zhao, Yuanyuan, Chao Xu, Yan Zhang, et al.. (2024). A numerical study of ignition and flame development characteristics in GCI combustion using large eddy simulations and chemical explosive mode analysis. International Journal of Engine Research. 25(6). 1218–1234.
10.
Ming, Zhenyang, et al.. (2023). Optical characterization of ethanol spray flame on a constant volume combustion chamber. Fuel Processing Technology. 250. 107928–107928. 16 indexed citations
11.
Wen, Mingsheng, Haifeng Liu, Yanqing Cui, et al.. (2023). Study on combustion stability and flame development of ammonia/n-heptane dual fuel using multiple optical diagnostics and chemical kinetic analyses. Journal of Cleaner Production. 428. 139412–139412. 34 indexed citations
12.
Ming, Zhenyang, Бо Лю, Xuan Zhang, et al.. (2023). Study of methanol spray flame structure and combustion stability mechanisms by optical phenomenology and chemical kinetics. Fuel Processing Technology. 252. 107947–107947. 30 indexed citations
13.
Wen, Mingsheng, Zenghui Yin, Zunqing Zheng, et al.. (2022). Effects of Different Gasoline Additives on Fuel Consumption and Emissions in a Vehicle Equipped With the GDI Engine. Frontiers in Mechanical Engineering. 8. 7 indexed citations
14.
Wen, Mingsheng, Haifeng Liu, Yanqing Cui, et al.. (2022). Optical diagnostics of methanol active-thermal atmosphere combustion in compression ignition engine. Fuel. 332. 126036–126036. 27 indexed citations
15.
Zhang, Zhao, Mingsheng Wen, Yanqing Cui, et al.. (2022). Effects of Methanol Application on Carbon Emissions and Pollutant Emissions Using a Passenger Vehicle. Processes. 10(3). 525–525. 40 indexed citations
16.
Cui, Yanqing, Haifeng Liu, Mingsheng Wen, et al.. (2022). Optical diagnostics of misfire in partially premixed combustion under low load conditions. Fuel. 329. 125432–125432. 31 indexed citations
17.
Cui, Yanqing, Haifeng Liu, Qianlong Wang, et al.. (2021). Investigation on the ignition delay prediction model of multi-component surrogates based on back propagation (BP) neural network. Combustion and Flame. 237. 111852–111852. 71 indexed citations
18.
Feng, Lei, Xing‐Yu Sun, Wentao Yi, et al.. (2021). Gasoline spray characteristics using a high pressure common rail diesel injection system by the method of laser induced exciplex fluorescence. Fuel. 302. 121174–121174. 26 indexed citations
19.
Cui, Yanqing, Haifeng Liu, Mingsheng Wen, et al.. (2021). Optical diagnostics and chemical kinetic analysis on the dual-fuel combustion of methanol and high reactivity fuels. Fuel. 312. 122949–122949. 53 indexed citations
20.
Ming, Zhenyang, Haifeng Liu, Zongyu Yue, et al.. (2021). Supercritical thermophysical properties prediction of multi-component hydrocarbon fuels based on artificial neural network models. Science China Technological Sciences. 65(4). 903–919. 11 indexed citations

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