Mingfa Yao

15.1k total citations · 2 hit papers
367 papers, 12.8k citations indexed

About

Mingfa Yao is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics and Materials Chemistry. According to data from OpenAlex, Mingfa Yao has authored 367 papers receiving a total of 12.8k indexed citations (citations by other indexed papers that have themselves been cited), including 322 papers in Fluid Flow and Transfer Processes, 217 papers in Computational Mechanics and 118 papers in Materials Chemistry. Recurrent topics in Mingfa Yao's work include Advanced Combustion Engine Technologies (322 papers), Combustion and flame dynamics (203 papers) and Catalytic Processes in Materials Science (116 papers). Mingfa Yao is often cited by papers focused on Advanced Combustion Engine Technologies (322 papers), Combustion and flame dynamics (203 papers) and Catalytic Processes in Materials Science (116 papers). Mingfa Yao collaborates with scholars based in China, United States and Saudi Arabia. Mingfa Yao's co-authors include Haifeng Liu, Zunqing Zheng, Hu Wang, Zhaolei Zheng, Rolf D. Reitz, Chia-fon F. Lee, Chao Jin, Jing Ji, Qinglong Tang and Quanchang Zhang and has published in prestigious journals such as Nature Communications, Renewable and Sustainable Energy Reviews and Journal of Cleaner Production.

In The Last Decade

Mingfa Yao

354 papers receiving 12.5k citations

Hit Papers

Progress and recent trends in homogeneous charge compress... 2009 2026 2014 2020 2009 2011 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingfa Yao China 57 10.5k 6.0k 5.7k 4.0k 3.5k 367 12.8k
Sebastian Verhelst Belgium 43 5.9k 0.6× 3.5k 0.6× 2.8k 0.5× 2.5k 0.6× 1.5k 0.4× 214 7.7k
Shijin Shuai China 50 5.5k 0.5× 2.8k 0.5× 3.4k 0.6× 2.9k 0.7× 2.2k 0.6× 286 8.0k
Choongsik Bae South Korea 41 5.4k 0.5× 3.0k 0.5× 2.7k 0.5× 2.4k 0.6× 1.7k 0.5× 257 6.8k
Gautam Kalghatgi United Kingdom 57 8.1k 0.8× 6.1k 1.0× 3.4k 0.6× 3.2k 0.8× 1.3k 0.4× 116 9.5k
C.S. Cheung Hong Kong 54 5.8k 0.6× 2.8k 0.5× 4.6k 0.8× 3.3k 0.8× 1.7k 0.5× 198 9.4k
Alessio Frassoldati Italy 55 6.4k 0.6× 6.1k 1.0× 4.2k 0.7× 621 0.2× 2.0k 0.6× 207 10.5k
C.D. Rakopoulos Greece 63 10.0k 1.0× 4.7k 0.8× 7.1k 1.2× 4.1k 1.0× 1.7k 0.5× 195 11.6k
Magı́n Lapuerta Spain 49 6.2k 0.6× 2.0k 0.3× 7.4k 1.3× 2.5k 0.6× 2.0k 0.6× 192 10.1k
E Jiaqiang China 70 3.8k 0.4× 3.4k 0.6× 3.7k 0.6× 4.2k 1.1× 2.6k 0.7× 284 13.2k
John B. Heywood United States 57 7.3k 0.7× 4.7k 0.8× 2.2k 0.4× 4.1k 1.0× 1.2k 0.3× 217 9.8k

Countries citing papers authored by Mingfa Yao

Since Specialization
Citations

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

Fields of papers citing papers by Mingfa Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingfa Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Mingfa Yao. A scholar is included among the top collaborators of Mingfa Yao 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 Mingfa Yao. Mingfa Yao 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.
Yang, Rui, Heng Liu, Bin Li, Qinglong Tang, & Mingfa Yao. (2025). Experimental and numerical investigation on the superheated and subcooled ammonia spray characteristics under high injection pressure. Fuel. 387. 134320–134320. 3 indexed citations
2.
Yang, Rui, et al.. (2024). Experimental study on the spray characteristics of high-pressure liquid ammonia under different ambient conditions. Journal of the Energy Institute. 117. 101771–101771. 13 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.
Tang, Qinglong, et al.. (2024). The ignition mechanisms and chemical reaction kinetics of nitrogen oxides of ammonia/diesel dual-fuel engine combustion. Applied Thermal Engineering. 262. 125287–125287. 12 indexed citations
6.
Tang, Qinglong, et al.. (2024). Computational study of the impacts of the nozzle configurations on passive pre-chamber engine combustion. Applied Thermal Engineering. 250. 123530–123530. 6 indexed citations
7.
Wang, Qianlong, et al.. (2024). Development of compact-modulated absorption/emission technique towards micro-gravity sooting flame measurements. Experimental Thermal and Fluid Science. 156. 111212–111212. 1 indexed citations
8.
Yue, Zongyu, et al.. (2024). Exploring the application of oxy-fuel combustion to methanol spark ignition engines. Applied Energy. 367. 123449–123449. 10 indexed citations
9.
Li, Gang, Qinglong Tang, H.S. Zhen, et al.. (2024). Fundamental insights on turbulence characterization, vortex motion and ignition mechanism of sub/supersonic turbulent jet flames. Applied Thermal Engineering. 248. 123274–123274. 7 indexed citations
10.
Huang, Zhixiong, Haifeng Liu, Zunqing Zheng, et al.. (2024). Conventional and unconventional gas emissions and particle matter emissions of methanol CI engine with different EHN addition and compression ratios. Journal of the Energy Institute. 118. 101924–101924. 3 indexed citations
11.
Wang, Can, Zhao Zhang, Haifeng Liu, et al.. (2024). Effects of operating parameters on start performance of compression ignition engine by using high-pressure direct-injection pure methanol fuel. Applied Thermal Engineering. 249. 123352–123352. 13 indexed citations
12.
Sun, Haibo, Gang Li, Jincheng Li, et al.. (2024). Development of an LSTM-CCF-MA Model for Predicting NOx Emission and Exhaust Temperature of a Diesel Engine. International Journal of Automotive Technology. 26(2). 437–450.
13.
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
14.
Lu, Zhiyuan, et al.. (2024). Machine learning-based design of target property-oriented fuels using explainable artificial intelligence. Energy. 300. 131583–131583. 10 indexed citations
15.
Yue, Zongyu, Hongyan Zhu, Chenchen Wang, et al.. (2023). Artificial neural network models for phase equilibrium predictions under engine trans/supercritical spray conditions. Fuel. 339. 127425–127425. 8 indexed citations
16.
Tang, Qinglong, et al.. (2023). Numerical study of the effects of excess air ratio on passive pre-chamber jet performance and ignition mechanism. Applied Thermal Engineering. 234. 121315–121315. 18 indexed citations
17.
Ampah, Jeffrey Dankwa, et al.. (2023). Potential benefits and trade-offs associated with hydrogen transition under diverse carbon dioxide removal strategies. Science Bulletin. 69(1). 34–39. 12 indexed citations
18.
Zhang, Xuan, et al.. (2023). The relationship between fuel reactivity and exergy features in combustion process. Energy. 288. 129843–129843. 5 indexed citations
19.
Chen, Yong, Hu Wang, Bing Li, et al.. (2023). An experimental and kinetic modeling study on low-temperature oxidation of gasoline and diesel/polyoxymethylene dimethyl ether (OME3) blends. Combustion and Flame. 255. 112902–112902. 1 indexed citations
20.
Wang, Can, et al.. (2023). Experimental and kinetic modeling studies on oxidation of methanol and di-tert-butyl peroxide in a jet-stirred reactor. Combustion and Flame. 258. 113093–113093. 9 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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