Jing Fu

37 total papers · 771 total citations
32 papers, 659 citations indexed

About

Jing Fu is a scholar working on Biomedical Engineering, Surfaces, Coatings and Films and Biomaterials. According to data from OpenAlex, Jing Fu has authored 32 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Biomedical Engineering, 10 papers in Surfaces, Coatings and Films and 8 papers in Biomaterials. Recurrent topics in Jing Fu's work include Surface Modification and Superhydrophobicity (9 papers), Advanced Sensor and Energy Harvesting Materials (8 papers) and Electrospun Nanofibers in Biomedical Applications (5 papers). Jing Fu is often cited by papers focused on Surface Modification and Superhydrophobicity (9 papers), Advanced Sensor and Energy Harvesting Materials (8 papers) and Electrospun Nanofibers in Biomedical Applications (5 papers). Jing Fu collaborates with scholars based in China, United Arab Emirates and Iran. Jing Fu's co-authors include Fuchao Yang, Zhiguang Guo, Ning Cai, Huan Zeng, Vincent Chan, Faquan Yu, Chao Han, Xiaogang Luo, Kin Liao and Jianzhi Wang and has published in prestigious journals such as Chemical Communications, Journal of Materials Science and Composites Science and Technology.

In The Last Decade

Jing Fu

30 papers receiving 650 citations

Author Peers

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

Author Last Decade Papers Cites
Jing Fu 239 186 167 138 127 32 659
Wenbo Li 139 0.6× 161 0.9× 95 0.6× 132 1.0× 189 1.5× 36 637
Weigui Fu 208 0.9× 83 0.4× 270 1.6× 133 1.0× 111 0.9× 23 728
Jiangyu Wu 208 0.9× 151 0.8× 144 0.9× 114 0.8× 39 0.3× 27 600
Wenjing Li 173 0.7× 206 1.1× 118 0.7× 230 1.7× 109 0.9× 26 596
Bengang Li 224 0.9× 277 1.5× 78 0.5× 91 0.7× 57 0.4× 31 611
Chunxiao Chai 225 0.9× 138 0.7× 158 0.9× 267 1.9× 143 1.1× 28 678
Yongzhong Wu 238 1.0× 74 0.4× 145 0.9× 202 1.5× 146 1.1× 25 593
Danfeng Pei 382 1.6× 152 0.8× 83 0.5× 122 0.9× 64 0.5× 36 768
Wen Di-jiang 215 0.9× 258 1.4× 105 0.6× 203 1.5× 96 0.8× 24 666
Xiaoyan He 246 1.0× 89 0.5× 134 0.8× 152 1.1× 29 0.2× 34 660

Countries citing papers authored by Jing Fu

Since Specialization
Citations

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

Fields of papers citing papers by Jing Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Fu

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