Guilin Piao

55 total papers · 1.0k total citations
41 papers, 859 citations indexed

About

Guilin Piao is a scholar working on Biomedical Engineering, Materials Chemistry and Mechanical Engineering. According to data from OpenAlex, Guilin Piao has authored 41 papers receiving a total of 859 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Biomedical Engineering, 15 papers in Materials Chemistry and 14 papers in Mechanical Engineering. Recurrent topics in Guilin Piao's work include Thermochemical Biomass Conversion Processes (23 papers), Catalytic Processes in Materials Science (12 papers) and Coal and Its By-products (7 papers). Guilin Piao is often cited by papers focused on Thermochemical Biomass Conversion Processes (23 papers), Catalytic Processes in Materials Science (12 papers) and Coal and Its By-products (7 papers). Guilin Piao collaborates with scholars based in China, Japan and Sweden. Guilin Piao's co-authors include Shigekatsu Mori, Yoshinori Itaya, Nobusuke Kobayashi, Xinye Wang, Changsheng Bu, Jubing Zhang, Xiaojiang Wu, Yushuang Chen, Changqi Liu and Hao Xie and has published in prestigious journals such as Chemical Engineering Journal, International Journal of Hydrogen Energy and Fuel.

In The Last Decade

Guilin Piao

40 papers receiving 837 citations

Author Peers

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

Author Last Decade Papers Cites
Guilin Piao 495 327 236 232 126 41 859
Brian R. Stanmore 611 1.2× 244 0.7× 200 0.8× 149 0.6× 76 0.6× 19 953
Yasuaki Ueki 596 1.2× 407 1.2× 129 0.5× 195 0.8× 80 0.6× 60 927
Jianqun Wu 690 1.4× 414 1.3× 142 0.6× 280 1.2× 77 0.6× 35 939
Changqi Liu 313 0.6× 227 0.7× 234 1.0× 291 1.3× 279 2.2× 49 1.0k
Zefeng Ge 643 1.3× 501 1.5× 160 0.7× 224 1.0× 149 1.2× 52 1.0k
Zhongfa Hu 531 1.1× 216 0.7× 224 0.9× 244 1.1× 75 0.6× 58 928
Xing Xie 692 1.4× 299 0.9× 170 0.7× 144 0.6× 44 0.3× 32 955
Takahiro Murakami 687 1.4× 335 1.0× 103 0.4× 116 0.5× 65 0.5× 50 917
S. Arvelakis 836 1.7× 215 0.7× 160 0.7× 304 1.3× 155 1.2× 30 1.0k
Shuai Guo 484 1.0× 316 1.0× 147 0.6× 243 1.0× 82 0.7× 57 916

Countries citing papers authored by Guilin Piao

Since Specialization
Citations

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

Fields of papers citing papers by Guilin Piao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guilin Piao

This figure shows the co-authorship network connecting the top 25 collaborators of Guilin Piao. A scholar is included among the top collaborators of Guilin Piao 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 Guilin Piao. Guilin Piao 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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