Chen Gu

464 total citations
10 papers, 403 citations indexed

About

Chen Gu is a scholar working on Fluid Flow and Transfer Processes, Automotive Engineering and Computational Mechanics. According to data from OpenAlex, Chen Gu has authored 10 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Fluid Flow and Transfer Processes, 5 papers in Automotive Engineering and 4 papers in Computational Mechanics. Recurrent topics in Chen Gu's work include Advanced Combustion Engine Technologies (8 papers), Vehicle emissions and performance (5 papers) and Atmospheric chemistry and aerosols (4 papers). Chen Gu is often cited by papers focused on Advanced Combustion Engine Technologies (8 papers), Vehicle emissions and performance (5 papers) and Atmospheric chemistry and aerosols (4 papers). Chen Gu collaborates with scholars based in China, United States and Hong Kong. Chen Gu's co-authors include Zhen Huang, He Lin, Can Shao, Hai Wang, Joaquin Camacho, Bin Guan, Wenyi Han, Yawen Peng, Heejung Jung and Irenäus Wlokas and has published in prestigious journals such as Energy, Fuel and The Journal of Physical Chemistry A.

In The Last Decade

Chen Gu

10 papers receiving 392 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chen Gu China	8	288	198	138	127	110	10	403
Daniel Short United States	12	316 1.1×	71 0.4×	136 1.0×	385 3.0×	114 1.0×	16	538
Diep Vu United States	12	260 0.9×	64 0.3×	139 1.0×	318 2.5×	94 0.9×	19	475
Soheil Zeraati-Rezaei United Kingdom	11	143 0.5×	55 0.3×	154 1.1×	195 1.5×	66 0.6×	20	421
Mark Villela United States	8	265 0.9×	47 0.2×	76 0.6×	321 2.5×	129 1.2×	9	480
Una Trivanovic Canada	11	104 0.4×	47 0.2×	139 1.0×	112 0.9×	78 0.7×	18	347
Bruce Campbell United Kingdom	8	190 0.7×	57 0.3×	44 0.3×	257 2.0×	113 1.0×	15	366
Mark Peckham United Kingdom	11	310 1.1×	105 0.5×	27 0.2×	310 2.4×	112 1.0×	30	423
Fuxing Wei China	17	553 1.9×	351 1.8×	47 0.3×	120 0.9×	291 2.6×	33	677
Jeff J. Jetter Japan	7	309 1.1×	44 0.2×	69 0.5×	388 3.1×	152 1.4×	9	464
Daniel Carder United States	14	324 1.1×	120 0.6×	132 1.0×	495 3.9×	176 1.6×	45	774

Countries citing papers authored by Chen Gu

Since Specialization

Citations

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

Fields of papers citing papers by Chen Gu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chen Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Chen Gu. A scholar is included among the top collaborators of Chen Gu 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 Chen Gu. Chen Gu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

1.

Shi, Dachuan, et al.. (2020). Experimental and numerical study of the flow characteristics of a novel olive-shaped flowmeter (OSF). Flow Measurement and Instrumentation. 76. 101832–101832. 2 indexed citations

2.

Gu, Chen, Dong Han, Reggie Zhan, et al.. (2019). Size distributions of soot particles in premixed flames of gasoline distillates. Combustion and Flame. 208. 472–479. 5 indexed citations

3.

Gu, Hao, Bin Guan, Dong Han, et al.. (2018). Effect of mixing methane, ethane, propane and ethylene on the soot particle size distribution in a premixed propene flame. Combustion and Flame. 193. 54–60. 21 indexed citations

4.

Gu, Hao, Bin Guan, Dong Han, et al.. (2017). Size evolution of soot particles from gasoline and n-heptane/toluene blend in a burner stabilized stagnation flame. Fuel. 203. 135–144. 22 indexed citations

5.

Lin, He, Chen Gu, Joaquin Camacho, et al.. (2016). Mobility size distributions of soot in premixed propene flames. Combustion and Flame. 172. 365–373. 33 indexed citations

6.

Gu, Chen, He Lin, Joaquin Camacho, et al.. (2016). Particle size distribution of nascent soot in lightly and heavily sooting premixed ethylene flames. Combustion and Flame. 165. 177–187. 70 indexed citations

7.

Shao, Can, Bin Guan, Hao Gu, et al.. (2016). Effect of methane doping on nascent soot formation in ethylene-based laminar premixed flames. Fuel. 186. 422–429. 26 indexed citations

8.

Camacho, Joaquin, Chen Gu, He Lin, et al.. (2015). Mobility size and mass of nascent soot particles in a benchmark premixed ethylene flame. Combustion and Flame. 162(10). 3810–3822. 129 indexed citations

9.

Liu, Peng, He Lin, Yang Yang, et al.. (2014). New Insights into Thermal Decomposition of Polycyclic Aromatic Hydrocarbon Oxyradicals. The Journal of Physical Chemistry A. 118(48). 11337–11345. 28 indexed citations

10.

Han, Wenyi, et al.. (2010). Potential for reducing GHG emissions and energy consumption from implementing the aluminum intensive vehicle fleet in China. Energy. 35(12). 4671–4678. 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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