Ruomiao Yang

909 total citations · 4 hit papers
36 papers, 693 citations indexed

About

Ruomiao Yang is a scholar working on Fluid Flow and Transfer Processes, Automotive Engineering and Materials Chemistry. According to data from OpenAlex, Ruomiao Yang has authored 36 papers receiving a total of 693 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Fluid Flow and Transfer Processes, 17 papers in Automotive Engineering and 15 papers in Materials Chemistry. Recurrent topics in Ruomiao Yang's work include Advanced Combustion Engine Technologies (32 papers), Vehicle emissions and performance (17 papers) and Catalytic Processes in Materials Science (15 papers). Ruomiao Yang is often cited by papers focused on Advanced Combustion Engine Technologies (32 papers), Vehicle emissions and performance (17 papers) and Catalytic Processes in Materials Science (15 papers). Ruomiao Yang collaborates with scholars based in China, United States and Sweden. Ruomiao Yang's co-authors include Jinlong Liu, Zhentao Liu, Zhentao Liu, Junheng Liu, Yuchao Yan, Jiahong Fu, Yu Zhang, Qifan Wang, Qiao Huang and Juan Ou and has published in prestigious journals such as Journal of Cleaner Production, International Journal of Hydrogen Energy and Energy.

In The Last Decade

Ruomiao Yang

36 papers receiving 684 citations

Hit Papers

The methodology of decoupling fuel and thermal nitrogen o... 2023 2026 2024 2025 2023 2024 2024 2025 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruomiao Yang China 14 444 259 236 168 153 36 693
Grzegorz Przybyła Poland 15 618 1.4× 406 1.6× 274 1.2× 193 1.1× 319 2.1× 74 888
Kwang Chul Oh South Korea 13 333 0.8× 271 1.0× 166 0.7× 272 1.6× 55 0.4× 50 634
Qiao Huang United States 9 327 0.7× 125 0.5× 161 0.7× 171 1.0× 100 0.7× 22 503
Jaeheun Kim South Korea 11 578 1.3× 174 0.7× 280 1.2× 265 1.6× 311 2.0× 21 811
Christopher Ulishney United States 11 376 0.8× 90 0.3× 205 0.9× 207 1.2× 115 0.8× 27 516
Yongrae Kim South Korea 19 753 1.7× 381 1.5× 366 1.6× 290 1.7× 249 1.6× 47 911
Patrick Kirchen Canada 20 500 1.1× 300 1.2× 367 1.6× 311 1.9× 318 2.1× 61 1.0k
Sabato Iannaccone Italy 15 688 1.5× 183 0.7× 500 2.1× 226 1.3× 436 2.8× 45 938
Kun Lin Tay Singapore 19 820 1.8× 345 1.3× 246 1.0× 439 2.6× 424 2.8× 36 1.0k

Countries citing papers authored by Ruomiao Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ruomiao Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruomiao Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Ruomiao Yang. A scholar is included among the top collaborators of Ruomiao Yang 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 Ruomiao Yang. Ruomiao Yang 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, Ruomiao, et al.. (2025). Investigation of the formation mechanisms of nitrogen-based pollutants in ammonia-diesel dual-fuel engines by decoupling dilution, thermal, and kinetic effects. Journal of the Energy Institute. 120. 102125–102125. 19 indexed citations
2.
Ou, Juan, Ruomiao Yang, Yuchao Yan, et al.. (2025). Chemical mechanism development for ammonia/n-heptane blends in dual fuel engines. Journal of the Energy Institute. 120. 102077–102077. 14 indexed citations
3.
Liu, Junheng, Ruomiao Yang, Zhentao Liu, & Jinlong Liu. (2025). A CFD-assisted investigation into the mechanism behind the surge in NO2 emissions from methanol/diesel dual fuel engines. Journal of Cleaner Production. 489. 144750–144750. 35 indexed citations breakdown →
4.
Yang, Ruomiao, et al.. (2024). Applying separate treatment of fuel- and air-borne nitrogen to enhance understanding of in-cylinder nitrogen-based pollutants formation and evolution in ammonia-diesel dual fuel engines. Sustainable Energy Technologies and Assessments. 69. 103910–103910. 66 indexed citations breakdown →
5.
Huang, Qiao, et al.. (2024). Investigation of the mechanism behind the surge in nitrogen dioxide emissions in engines transitioning from pure diesel operation to methanol/diesel dual-fuel operation. Fuel Processing Technology. 264. 108131–108131. 74 indexed citations breakdown →
6.
Ou, Juan, Yuchao Yan, Ruomiao Yang, Zhentao Liu, & Jinlong Liu. (2024). Enhancement of the Ammonia Kinetic Mechanism for Nitrogen-Based Pollutant Chemistry. 1 indexed citations
7.
Yang, Ruomiao, et al.. (2024). The mechanism of the increased ratio of nitrogen dioxide to nitrogen oxides in methanol/diesel dual fuel engines. Energy. 312. 133701–133701. 46 indexed citations
10.
Yan, Yuchao, et al.. (2024). Numerical Investigation of In-Cylinder Combustion Behaviors in a Medium-Speed Diesel Engine. Journal of Energy Resources Technology. 146(8). 5 indexed citations
11.
Yang, Ruomiao, Yuchao Yan, Juan Ou, Zhentao Liu, & Jinlong Liu. (2023). Numerical Investigation of the Effect of Ammonia Addition on the Performance of a Stoichiometric Operated Natural Gas Spark Ignition Engine. 1 indexed citations
12.
Ou, Juan, Ruomiao Yang, Yuchao Yan, Zhentao Liu, & Jinlong Liu. (2023). The Effect of Methane Addition on the Low-Temperature Oxidation Preparation and the Thermal Ignition Preparation of Dimethyl Ether Under Representative Engine In-Cylinder Thermal Conditions. SAE technical papers on CD-ROM/SAE technical paper series. 1. 3 indexed citations
13.
Wang, Qifan, Ruomiao Yang, Zhentao Liu, et al.. (2022). The Engine Combustion Phasing Prediction Based on the Support Vector Regression Method. Processes. 10(4). 717–717. 5 indexed citations
14.
Zhang, Yu, Qifan Wang, Xiaofei Chen, et al.. (2022). The Prediction of Spark-Ignition Engine Performance and Emissions Based on the SVR Algorithm. Processes. 10(2). 312–312. 31 indexed citations
15.
Yang, Ruomiao, Yuchao Yan, Qifan Wang, et al.. (2022). An Artificial Neural Network Model to Predict Efficiency and Emissions of a Gasoline Engine. Processes. 10(2). 204–204. 27 indexed citations
16.
Zhang, Yu, Qifan Wang, Ruomiao Yang, et al.. (2022). Numerical investigation of the effect of injection timing on the in-cylinder activity of a gasoline direct injection engine. Advances in Mechanical Engineering. 14(3). 6 indexed citations
17.
Zhang, Yu, Yuchao Yan, Ruomiao Yang, et al.. (2022). Study of In-Cylinder Heat Transfer Boundary Conditions for Diesel Engines Under Variable Altitudes Based on the CHT Model. Frontiers in Energy Research. 10. 8 indexed citations
18.
Yang, Ruomiao, et al.. (2022). Numerical Investigation of the Fuel/Air Ratio Sensor Sensitivity in a Port-Fuel-Injected Spark-Ignition Engine Equipped With Three-Way Catalysts. Journal of Energy Resources Technology. 145(5). 1 indexed citations
20.
Fu, Jiahong, Ruomiao Yang, Xin Li, et al.. (2021). Application of artificial neural network to forecast engine performance and emissions of a spark ignition engine. Applied Thermal Engineering. 201. 117749–117749. 67 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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