Guangfu Xu

655 total citations
24 papers, 534 citations indexed

About

Guangfu Xu is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics and Automotive Engineering. According to data from OpenAlex, Guangfu Xu has authored 24 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Fluid Flow and Transfer Processes, 15 papers in Computational Mechanics and 11 papers in Automotive Engineering. Recurrent topics in Guangfu Xu's work include Advanced Combustion Engine Technologies (21 papers), Combustion and flame dynamics (14 papers) and Vehicle emissions and performance (11 papers). Guangfu Xu is often cited by papers focused on Advanced Combustion Engine Technologies (21 papers), Combustion and flame dynamics (14 papers) and Vehicle emissions and performance (11 papers). Guangfu Xu collaborates with scholars based in China, Sweden and Spain. Guangfu Xu's co-authors include Ming Jia, Yaopeng Li, Yachao Chang, Tianyou Wang, Maozhao Xie, Ming Jia, Wanhua Su, Javier Monsalve‐Serrano, Leilei Xu and Antonio García and has published in prestigious journals such as Energy Conversion and Management, Energy and Fuel.

In The Last Decade

Guangfu Xu

24 papers receiving 517 citations

Peers

Guangfu Xu
Sechul Oh South Korea
Shijie Mi China
Gihun Lim South Korea
Guangfu Xu
Citations per year, relative to Guangfu Xu Guangfu Xu (= 1×) peers Bilge Albayrak Çeper

Countries citing papers authored by Guangfu Xu

Since Specialization
Citations

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

Fields of papers citing papers by Guangfu Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangfu Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Guangfu Xu. A scholar is included among the top collaborators of Guangfu Xu 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 Guangfu Xu. Guangfu Xu 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.
Zhang, Pengwei, et al.. (2023). Co-optimization of operating parameters, fuel composition, and piston bowl geometry of gasoline compression ignition (GCI) engine at high loads. International Journal of Engine Research. 24(9). 4044–4062. 2 indexed citations
3.
Xu, Guangfu, Antonio García, Ming Jia, & Javier Monsalve‐Serrano. (2021). Computational optimization of the piston bowl geometry for the different combustion regimes of the dual-mode dual-fuel (DMDF) concept through an improved genetic algorithm. Energy Conversion and Management. 246. 114658–114658. 20 indexed citations
6.
Xu, Guangfu, Javier Monsalve‐Serrano, Ming Jia, & Antonio García. (2020). Computational optimization of the dual-mode dual-fuel concept through genetic algorithm at different engine loads. Energy Conversion and Management. 208. 112577–112577. 19 indexed citations
7.
Jia, Ming, et al.. (2019). Computational Optimization of Syngas/Diesel RCCI Combustion at Low Load in Different Engine Size. SAE technical papers on CD-ROM/SAE technical paper series. 1. 3 indexed citations
10.
Jia, Ming, Guangfu Xu, Yaopeng Li, et al.. (2018). Potential for Reducing Emissions in Reactivity-Controlled Compression Ignition Engines by Fueling Syngas and Diesel. Energy & Fuels. 32(3). 3869–3882. 18 indexed citations
11.
Niu, Bo, Ming Jia, Guangfu Xu, Yachao Chang, & Maozhao Xie. (2018). Efficient Approach for the Optimization of Skeletal Chemical Mechanisms with Multiobjective Genetic Algorithm. Energy & Fuels. 32(6). 7086–7102. 41 indexed citations
12.
Xu, Guangfu, Ming Jia, Yaopeng Li, Yachao Chang, & Tianyou Wang. (2018). Potential of reactivity controlled compression ignition (RCCI) combustion coupled with variable valve timing (VVT) strategy for meeting Euro 6 emission regulations and high fuel efficiency in a heavy-duty diesel engine. Energy Conversion and Management. 171. 683–698. 44 indexed citations
14.
Jia, Ming, Yaopeng Li, Yachao Chang, et al.. (2018). Computational optimization of fuel supply, syngas composition, and intake conditions for a syngas/diesel RCCI engine. Fuel. 234. 120–134. 53 indexed citations
16.
Li, Yaopeng, Ming Jia, Yachao Chang, et al.. (2017). Principle of determining the optimal operating parameters based on fuel properties and initial conditions for RCCI engines. Fuel. 216. 284–295. 47 indexed citations
18.
Wang, Xianhua, et al.. (2014). Releasing behavior of chlorine and fluorine during agricultural waste pyrolysis. Energy. 74. 295–300. 38 indexed citations
19.
He, Guang S. & Guangfu Xu. (1992). Efficient amplification of a broad-band optical signal through stimulated Kerr scattering in a CS/sub 2/ liquid-core fiber system. IEEE Journal of Quantum Electronics. 28(1). 323–329. 11 indexed citations
20.
He, Guang S., Guangfu Xu, Ryszard Burzyński, & Paras N. Prasad. (1989). Stimulated amplification of a broad-band optical signal through a benzene-core fiber system pumped by ultra-short laser pulses. Optics Communications. 72(6). 397–400. 7 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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