Guangsuo Yu

1.8k total citations
60 papers, 1.5k citations indexed

About

Guangsuo Yu is a scholar working on Biomedical Engineering, Mechanical Engineering and Computational Mechanics. According to data from OpenAlex, Guangsuo Yu has authored 60 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Biomedical Engineering, 23 papers in Mechanical Engineering and 22 papers in Computational Mechanics. Recurrent topics in Guangsuo Yu's work include Thermochemical Biomass Conversion Processes (34 papers), Coal Combustion and Slurry Processing (14 papers) and Advanced Combustion Engine Technologies (13 papers). Guangsuo Yu is often cited by papers focused on Thermochemical Biomass Conversion Processes (34 papers), Coal Combustion and Slurry Processing (14 papers) and Advanced Combustion Engine Technologies (13 papers). Guangsuo Yu collaborates with scholars based in China, Japan and United States. Guangsuo Yu's co-authors include Qinghua Guo, Lu Ding, Fuchen Wang, Juntao Wei, Qing He, Yan Gong, Xueli Chen, Wei‐Feng Li, Junqin Yu and Ruirui Xiao and has published in prestigious journals such as Nature Communications, Renewable and Sustainable Energy Reviews and Bioresource Technology.

In The Last Decade

Guangsuo Yu

57 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guangsuo Yu China 22 1.0k 470 357 345 215 60 1.5k
Henrik Wiinikka Sweden 28 1.2k 1.2× 417 0.9× 281 0.8× 454 1.3× 129 0.6× 67 1.8k
Xiaohan Ren China 23 1.1k 1.1× 504 1.1× 317 0.9× 323 0.9× 237 1.1× 88 1.8k
Qinggang Lyu China 25 1.1k 1.1× 536 1.1× 307 0.9× 607 1.8× 347 1.6× 100 1.6k
Kevin J. Whitty United States 23 895 0.9× 635 1.4× 380 1.1× 238 0.7× 178 0.8× 45 1.4k
Yishu Xu China 26 481 0.5× 255 0.5× 576 1.6× 355 1.0× 339 1.6× 61 1.6k
Shuanghui Deng China 24 895 0.9× 347 0.7× 326 0.9× 223 0.6× 294 1.4× 57 1.6k
Shiro Kajitani Japan 17 1.7k 1.7× 629 1.3× 485 1.4× 244 0.7× 231 1.1× 28 1.8k
Yongbo Du China 18 687 0.7× 254 0.5× 315 0.9× 299 0.9× 207 1.0× 57 944
Jiansheng Zhang China 22 600 0.6× 773 1.6× 280 0.8× 313 0.9× 150 0.7× 72 1.5k
Yewen Tan Canada 25 1.1k 1.1× 754 1.6× 476 1.3× 584 1.7× 289 1.3× 41 1.9k

Countries citing papers authored by Guangsuo Yu

Since Specialization
Citations

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

Fields of papers citing papers by Guangsuo Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangsuo Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Guangsuo Yu. A scholar is included among the top collaborators of Guangsuo Yu 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 Guangsuo Yu. Guangsuo Yu 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
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Guo, Qinghua, et al.. (2025). Numerical analysis on non-uniform gas distribution induced conversion of carbon particles during entrained-flow gasification. Combustion and Flame. 277. 114224–114224. 2 indexed citations
3.
Liu, Xia, Xiaoyu Wang, Yunfei Gao, et al.. (2025). Prediction and optimization of coal ash flow temperature using machine learning approaches. Fuel. 404. 136115–136115. 1 indexed citations
4.
Liu, Yang, Qinghua Guo, Yan Gong, & Guangsuo Yu. (2025). Investigation of NH* chemiluminescence and NO formation mechanisms in CH4/NH3 co-flow diffusion flames: A computational kinetic perspective. Combustion and Flame. 281. 114462–114462.
5.
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Wang, Leiping, et al.. (2025). Deep CO2 photoreduction by synergy of K+ doping and defective modulation over TiO2@K2Ti6O13 nanoribbon heterojunctions. Journal of environmental chemical engineering. 13(4). 117221–117221. 1 indexed citations
7.
Liu, Yang, et al.. (2025). Numerical study on OH∗ chemiluminescence in CH4/NH3 diffusion flame based on chemical kinetic mechanism. International Journal of Hydrogen Energy. 105. 1230–1241. 2 indexed citations
8.
Song, Xudong, Tianbiao He, Yan Gong, et al.. (2024). Study on the microstructure and soot formation mechanism of hydrogen addition ethylene inverse diffusion flame. International Journal of Hydrogen Energy. 88. 39–51. 2 indexed citations
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10.
Wang, Yue, et al.. (2024). Thermal behaviors of coal particles in an impinging entrained-flow gasifier: Char oxidation. Combustion and Flame. 267. 113575–113575. 5 indexed citations
11.
Wang, Leiping, Ding‐Ming Xue, Lei Tong, et al.. (2024). Insights into the Effect of Crystal Facets and Sulfur Defects on the Product Selectivity of Various CdS Configurations for CO2 Photoreduction: A DFT Study. Catalysts. 14(10). 688–688. 2 indexed citations
12.
Ma, Meng, Juntao Wei, Yonghui Bai, et al.. (2024). Study of synergistic behavior during bituminous coal-cow manure co-gasification: The role of intrinsic AAEM and organic matter. International Journal of Coal Science & Technology. 11(1). 4 indexed citations
13.
Bai, Yonghui, et al.. (2024). Coal gasification fine slag as a precursor to prepare mesoporous carbon materials by an activation-hydrothermal two-step method for CO2 adsorption. Journal of Environmental Management. 373. 123590–123590. 11 indexed citations
14.
Song, Xudong, Qinghua Guo, Dong Liu, et al.. (2023). Study on the application of laser diagnosis technology in the rapid real time measurement of soot. Applied Energy. 350. 121595–121595. 6 indexed citations
15.
Yan, Shuai, et al.. (2023). Application study of Dynamic Mode Decomposition coupled with a high-speed imaging system in jet zone oscillation behavior diagnosis of impinging flames. Control Engineering Practice. 135. 105494–105494. 3 indexed citations
16.
Gao, Ming, Lu Ding, Yunfei Gao, et al.. (2023). Mechanism of the noncatalytic oxidation of soot using in situ transmission electron microscopy. Nature Communications. 14(1). 6256–6256. 21 indexed citations
17.
He, Qing, Lu Ding, Yan Gong, et al.. (2019). Effect of torrefaction on pinewood pyrolysis kinetics and thermal behavior using thermogravimetric analysis. Bioresource Technology. 280. 104–111. 179 indexed citations
18.
He, Qing, Qinghua Guo, Lu Ding, Juntao Wei, & Guangsuo Yu. (2019). CO2 gasification of char from raw and torrefied biomass: Reactivity, kinetics and mechanism analysis. Bioresource Technology. 293. 122087–122087. 82 indexed citations
19.
Sun, Zhonghua, Zhenghua Dai, Zhijie Zhou, Qinghua Guo, & Guangsuo Yu. (2012). Numerical Simulation of Industrial Opposed Multiburner Coal–Water Slurry Entrained Flow Gasifier. Industrial & Engineering Chemistry Research. 51(6). 2560–2569. 68 indexed citations
20.
Yu, Guangsuo, et al.. (2011). The investigations of temperature distributions in an opposed multi-burner gasifier. Energy Conversion and Management. 52(5). 2235–2240. 17 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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