Guangsuo Yu

529 total papers · 10.3k total citations
408 papers, 8.6k 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 408 papers receiving a total of 8.6k indexed citations (citations by other indexed papers that have themselves been cited), including 266 papers in Biomedical Engineering, 178 papers in Mechanical Engineering and 114 papers in Computational Mechanics. Recurrent topics in Guangsuo Yu's work include Thermochemical Biomass Conversion Processes (239 papers), Coal and Its By-products (82 papers) and Coal Combustion and Slurry Processing (79 papers). Guangsuo Yu is often cited by papers focused on Thermochemical Biomass Conversion Processes (239 papers), Coal and Its By-products (82 papers) and Coal Combustion and Slurry Processing (79 papers). Guangsuo Yu collaborates with scholars based in China, Japan and Australia. Guangsuo Yu's co-authors include Qinghua Guo, Fuchen Wang, Yan Gong, Lu Ding, Juntao Wei, Xudong Song, Zhijie Zhou, Xueli Chen, Yonghui Bai and Zhijie Zhou and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and The Science of The Total Environment.

In The Last Decade

Guangsuo Yu

391 papers receiving 8.5k citations

Hit Papers

Superior adsorption capac... 2019 2026 2021 2023 2019 2021 2023 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Guangsuo Yu 5.6k 3.4k 1.7k 1.6k 1.3k 408 8.6k
Minghou Xu 5.5k 1.0× 3.3k 1.0× 2.3k 1.4× 2.1k 1.3× 859 0.6× 295 10.3k
Xiaotao Bi 7.2k 1.3× 3.2k 0.9× 711 0.4× 1.9k 1.2× 2.1k 1.6× 343 13.4k
Hongwei Wu 7.2k 1.3× 2.0k 0.6× 1.9k 1.1× 1.2k 0.7× 577 0.4× 291 9.7k
Jianglong Yu 5.6k 1.0× 3.3k 1.0× 1.4k 0.8× 2.4k 1.5× 765 0.6× 269 10.4k
Fuchen Wang 3.8k 0.7× 2.2k 0.7× 822 0.5× 1.4k 0.9× 1.5k 1.1× 328 6.8k
Peter Arendt Jensen 8.7k 1.5× 4.0k 1.2× 2.2k 1.3× 1.8k 1.1× 1.5k 1.2× 198 11.3k
F. Rubiera 8.0k 1.4× 6.4k 1.9× 1.1k 0.6× 3.0k 1.9× 1.1k 0.8× 190 12.4k
Defu Che 4.0k 0.7× 2.6k 0.8× 1.2k 0.7× 1.3k 0.8× 1.8k 1.3× 359 6.7k
Baosheng Jin 3.9k 0.7× 2.6k 0.8× 555 0.3× 1.1k 0.7× 2.6k 1.9× 303 7.7k
J.J. Pís 9.1k 1.6× 5.9k 1.8× 1.5k 0.9× 3.6k 2.2× 1.1k 0.8× 188 14.1k

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

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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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