Yage Di

1.3k total citations
22 papers, 1.2k citations indexed

About

Yage Di is a scholar working on Fluid Flow and Transfer Processes, Biomedical Engineering and Automotive Engineering. According to data from OpenAlex, Yage Di has authored 22 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Fluid Flow and Transfer Processes, 13 papers in Biomedical Engineering and 11 papers in Automotive Engineering. Recurrent topics in Yage Di's work include Advanced Combustion Engine Technologies (18 papers), Biodiesel Production and Applications (12 papers) and Vehicle emissions and performance (10 papers). Yage Di is often cited by papers focused on Advanced Combustion Engine Technologies (18 papers), Biodiesel Production and Applications (12 papers) and Vehicle emissions and performance (10 papers). Yage Di collaborates with scholars based in China, Hong Kong and United States. Yage Di's co-authors include Zuohua Huang, C.S. Cheung, Xiangang Wang, Yi Ren, Deming Jiang, Xibin Wang, Haiyan Miao, Bing Liu, Ke Zeng and Zhiyuan Zhang and has published in prestigious journals such as The Science of The Total Environment, International Journal of Hydrogen Energy and Atmospheric Environment.

In The Last Decade

Yage Di

19 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yage Di China 12 947 857 447 338 194 22 1.2k
Chiara Guido Italy 18 779 0.8× 556 0.6× 555 1.2× 364 1.1× 200 1.0× 60 1.1k
N. Del Giacomo Italy 16 797 0.8× 499 0.6× 456 1.0× 323 1.0× 248 1.3× 47 955
Yongjin Jung South Korea 17 739 0.8× 441 0.5× 292 0.7× 519 1.5× 374 1.9× 43 1.2k
Hidenori Kosaka Japan 23 1.1k 1.2× 730 0.9× 321 0.7× 391 1.2× 655 3.4× 104 1.4k
Timothy J. Jacobs United States 13 844 0.9× 628 0.7× 327 0.7× 240 0.7× 323 1.7× 48 965
Hisakazu Suzuki Japan 18 724 0.8× 323 0.4× 461 1.0× 253 0.7× 418 2.2× 59 906
C. Bertoli Italy 20 850 0.9× 532 0.6× 456 1.0× 276 0.8× 347 1.8× 56 1.0k
Quanchang Zhang China 19 1.2k 1.3× 945 1.1× 531 1.2× 463 1.4× 408 2.1× 41 1.5k
Gary D. Neely United States 18 655 0.7× 246 0.3× 429 1.0× 354 1.0× 257 1.3× 27 818
Suozhu Pan China 13 454 0.5× 298 0.3× 243 0.5× 268 0.8× 152 0.8× 25 624

Countries citing papers authored by Yage Di

Since Specialization
Citations

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

Fields of papers citing papers by Yage Di

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yage Di

This figure shows the co-authorship network connecting the top 25 collaborators of Yage Di. A scholar is included among the top collaborators of Yage Di 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 Yage Di. Yage Di 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.
Chen, Xu, et al.. (2025). Simulation Study of the Modified Combustion Chamber Effect on Ammonia-Diesel Dual-Fuel Engine Performance. Journal of Energy Engineering. 151(3). 1 indexed citations
2.
Di, Yage, et al.. (2025). Effects of DMC and operating load on regulated and unregulated emissions of a diesel engine. Energy Sources Part A Recovery Utilization and Environmental Effects. 47(1). 9966–9980.
3.
Wang, Xinyuan, et al.. (2024). Study on the effect of pulsed gas flow on the entrainment performance of hydrogen ejector. International Journal of Hydrogen Energy. 67. 599–607. 6 indexed citations
4.
Di, Yage, et al.. (2024). Effect of diglyme on diesel engine combustion and un/regulated emission. Energy Sources Part A Recovery Utilization and Environmental Effects. 46(1). 10885–10899. 1 indexed citations
5.
Chen, Xu, et al.. (2024). Simulation Study of Diesel Spray Tilt Angle and Ammonia Energy Ratio Effect on Ammonia-Diesel Dual-Fuel Engine Performance. Energy Engineering. 121(9). 2603–2620. 2 indexed citations
6.
Jian, Zhou, et al.. (2023). Single-Wheel Failure Stability Control for Vehicle Equipped with Brake-by-Wire System. World Electric Vehicle Journal. 14(7). 177–177. 7 indexed citations
7.
8.
Zheng, Jinbao, et al.. (2023). Flow analysis of a control ball valve in a common rail fuel injector. International Journal of Engine Research. 25(5). 1013–1023.
9.
Zheng, Jinbao, et al.. (2022). Effect of double-layer hole nozzle with narrow spray angle on combustion and emissions in dual-fuel natural gas engine. Fuel. 314. 123090–123090. 10 indexed citations
10.
Di, Yage, et al.. (2021). Comparative study on combustion and particulate emissions for diesel-biodiesel and diesel-diglyme blends. Fuel. 313. 122710–122710. 18 indexed citations
11.
Wang, Xiangang, C.S. Cheung, Yage Di, & Zuohua Huang. (2011). Diesel engine gaseous and particle emissions fueled with diesel–oxygenate blends. Fuel. 94. 317–323. 161 indexed citations
12.
Zhang, Ni, Yage Di, Zuohua Huang, & Zhiyuan Zhang. (2010). Flame instability analysis of diethyl ether-air premixed mixtures at elevated pressures. Chinese Science Bulletin. 55(3). 314–320. 22 indexed citations
13.
Di, Yage, Zuohua Huang, Ni Zhang, et al.. (2009). Measurement of Laminar Burning Velocities and Markstein Lengths for Diethyl Ether−Air Mixtures at Different Initial Pressure and Temperature. Energy & Fuels. 23(5). 2490–2497. 39 indexed citations
14.
Di, Yage, C.S. Cheung, & Zuohua Huang. (2009). Experimental investigation of particulate emissions from a diesel engine fueled with ultralow-sulfur diesel fuel blended with diglyme. Atmospheric Environment. 44(1). 55–63. 53 indexed citations
15.
Di, Yage, C.S. Cheung, & Zuohua Huang. (2009). Comparison of the effect of biodiesel-diesel and ethanol-diesel on the gaseous emission of a direct-injection diesel engine. Atmospheric Environment. 43(17). 2721–2730. 118 indexed citations
16.
Di, Yage, C.S. Cheung, & Zuohua Huang. (2009). Comparison of the Effect of Biodiesel-Diesel and Ethanol-Diesel on the Particulate Emissions of a Direct Injection Diesel Engine. Aerosol Science and Technology. 43(5). 455–465. 48 indexed citations
17.
Di, Yage, C.S. Cheung, & Zuohua Huang. (2008). Experimental investigation on regulated and unregulated emissions of a diesel engine fueled with ultra-low sulfur diesel fuel blended with biodiesel from waste cooking oil. The Science of The Total Environment. 407(2). 835–846. 240 indexed citations
18.
Di, Yage, C.S. Cheung, & Zuohua Huang. (2008). Experimental study on particulate emission of a diesel engine fueled with blended ethanol–dodecanol–diesel. Journal of Aerosol Science. 40(2). 101–112. 58 indexed citations
19.
Cheung, C.S., Yage Di, & Zuohua Huang. (2008). Experimental investigation of regulated and unregulated emissions from a diesel engine fueled with ultralow-sulfur diesel fuel blended with ethanol and dodecanol. Atmospheric Environment. 42(39). 8843–8851. 67 indexed citations
20.
Ren, Yi, Zuohua Huang, Haiyan Miao, et al.. (2008). Combustion and emissions of a DI diesel engine fuelled with diesel-oxygenate blends. Fuel. 87(12). 2691–2697. 303 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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