Shujuan Wang

161 total papers · 4.3k total citations
116 papers, 3.4k citations indexed

About

Shujuan Wang is a scholar working on Polymers and Plastics, Mechanical Engineering and Biomedical Engineering. According to data from OpenAlex, Shujuan Wang has authored 116 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Polymers and Plastics, 36 papers in Mechanical Engineering and 33 papers in Biomedical Engineering. Recurrent topics in Shujuan Wang's work include Epoxy Resin Curing Processes (16 papers), Polymer composites and self-healing (13 papers) and Advanced Sensor and Energy Harvesting Materials (11 papers). Shujuan Wang is often cited by papers focused on Epoxy Resin Curing Processes (16 papers), Polymer composites and self-healing (13 papers) and Advanced Sensor and Energy Harvesting Materials (11 papers). Shujuan Wang collaborates with scholars based in China, Malaysia and United Kingdom. Shujuan Wang's co-authors include Xinli Jing, Wei Fan, Xiaoting Zhang, Yu Li, Yong Wang, Cheng Bian, Jingjing Si, Shengbo Ge, Xiaolong Xing and Kai Dong and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Nature Communications.

In The Last Decade

Shujuan Wang

105 papers receiving 3.4k citations

Hit Papers

An Antisweat Interference... 2023 2026 2024 2023 2024 2024 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Shujuan Wang 1.7k 1.0k 945 900 460 116 3.4k
Bruno Fayolle 2.3k 1.3× 903 0.9× 794 0.8× 737 0.8× 657 1.4× 109 3.8k
Ling Chen 1.4k 0.8× 794 0.8× 1.1k 1.2× 1.3k 1.4× 598 1.3× 133 3.6k
Mükerrem Çakmak 2.3k 1.4× 1.3k 1.3× 654 0.7× 902 1.0× 1.1k 2.4× 169 4.1k
Yiping Liu 1.5k 0.9× 755 0.7× 991 1.0× 1.2k 1.3× 288 0.6× 144 3.6k
Emilie J. Siochi 1.2k 0.7× 1.1k 1.1× 804 0.9× 1.7k 1.9× 283 0.6× 106 3.2k
Igor Krupa 1.9k 1.1× 1.1k 1.1× 1.7k 1.8× 1.2k 1.3× 538 1.2× 163 4.9k
Silvia G. Prolongo 1.6k 0.9× 1.0k 1.0× 1.3k 1.4× 1.5k 1.7× 209 0.5× 148 3.8k
Yuntao Li 1.5k 0.9× 1.6k 1.5× 758 0.8× 815 0.9× 234 0.5× 135 3.3k
Sheng Wang 1.3k 0.8× 1.5k 1.5× 615 0.7× 644 0.7× 269 0.6× 117 3.3k
Wenwen Guo 2.7k 1.6× 797 0.8× 896 0.9× 1.6k 1.7× 506 1.1× 116 4.6k

Countries citing papers authored by Shujuan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shujuan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shujuan Wang

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