Jiayong Wu

29 total papers · 592 total citations
22 papers, 455 citations indexed

About

Jiayong Wu is a scholar working on Molecular Biology, Mechanical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jiayong Wu has authored 22 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Mechanical Engineering and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jiayong Wu's work include Heat transfer and supercritical fluids (3 papers), MXene and MAX Phase Materials (2 papers) and Advanced Memory and Neural Computing (2 papers). Jiayong Wu is often cited by papers focused on Heat transfer and supercritical fluids (3 papers), MXene and MAX Phase Materials (2 papers) and Advanced Memory and Neural Computing (2 papers). Jiayong Wu collaborates with scholars based in China. Jiayong Wu's co-authors include Yun Xu, Jianhua Ding, Honghong Yao, Gang Hu, Xiu‐Lan Sun, Fang Zhou, Zhibin Chen, Lin Wang, Xin Zhang and Ling Zhang and has published in prestigious journals such as Scientific Reports, Journal of Materials Chemistry A and Fuel.

In The Last Decade

Jiayong Wu

21 papers receiving 452 citations

Author Peers

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

Author Last Decade Papers Cites
Jiayong Wu 175 141 92 66 53 22 455
Chaoxian Yang 238 1.4× 108 0.8× 102 1.1× 85 1.3× 104 2.0× 23 505
Jianping Zhang 129 0.7× 109 0.8× 99 1.1× 23 0.3× 57 1.1× 29 456
Lianshun Zheng 144 0.8× 83 0.6× 116 1.3× 20 0.3× 62 1.2× 15 451
Livia Carrascal 184 1.1× 178 1.3× 69 0.8× 71 1.1× 73 1.4× 29 551
Julian P. Tuazon 223 1.3× 75 0.5× 142 1.5× 76 1.2× 91 1.7× 18 550
Aijuan Yan 138 0.8× 84 0.6× 152 1.7× 82 1.2× 20 0.4× 24 411
Tongming Zhu 178 1.0× 125 0.9× 52 0.6× 35 0.5× 56 1.1× 29 497
Ilaria Cervellini 130 0.7× 120 0.9× 42 0.5× 47 0.7× 32 0.6× 14 424
Dominic T. Schomberg 123 0.7× 138 1.0× 42 0.5× 67 1.0× 30 0.6× 18 495
Lara Bieler 172 1.0× 58 0.4× 50 0.5× 36 0.5× 65 1.2× 26 477

Countries citing papers authored by Jiayong Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jiayong Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiayong Wu

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