Huan Wu

106 total papers · 2.1k total citations
80 papers, 1.7k citations indexed

About

Huan Wu is a scholar working on Electrical and Electronic Engineering, Molecular Biology and Biomaterials. According to data from OpenAlex, Huan Wu has authored 80 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Electrical and Electronic Engineering, 16 papers in Molecular Biology and 15 papers in Biomaterials. Recurrent topics in Huan Wu's work include Silicon Carbide Semiconductor Technologies (12 papers), Water Treatment and Disinfection (8 papers) and Silk-based biomaterials and applications (6 papers). Huan Wu is often cited by papers focused on Silicon Carbide Semiconductor Technologies (12 papers), Water Treatment and Disinfection (8 papers) and Silk-based biomaterials and applications (6 papers). Huan Wu collaborates with scholars based in China, Netherlands and United States. Huan Wu's co-authors include Caihong Hu, Lefei Jiao, Lihong Fan, Shuting Cao, Jun Tong, Min Peng, Qianhui Zhang, Xiaoming Zhu, Jing Yang and Xiaoyu Zhou and has published in prestigious journals such as Environmental Science & Technology, ACS Nano and PLoS ONE.

In The Last Decade

Huan Wu

72 papers receiving 1.7k citations

Author Peers

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

Author Last Decade Papers Cites
Huan Wu 412 319 294 278 189 80 1.7k
Vedran Milosavljević 530 1.3× 257 0.8× 492 1.7× 587 2.1× 196 1.0× 69 1.8k
Fatemeh Tabandeh 603 1.5× 246 0.8× 247 0.8× 146 0.5× 283 1.5× 73 1.4k
Jingran Bi 587 1.4× 325 1.0× 345 1.2× 635 2.3× 101 0.5× 105 1.9k
Sarah I. Othman 336 0.8× 305 1.0× 281 1.0× 308 1.1× 315 1.7× 134 2.2k
Antonella Cavazza 452 1.1× 228 0.7× 317 1.1× 240 0.9× 301 1.6× 89 2.3k
Jun Liang 415 1.0× 305 1.0× 339 1.2× 225 0.8× 133 0.7× 68 1.6k
Małgorzata Krzyżowska 329 0.8× 255 0.8× 378 1.3× 495 1.8× 98 0.5× 86 2.1k
Kun Yao 501 1.2× 607 1.9× 395 1.3× 326 1.2× 299 1.6× 73 2.3k
Giorgio Marrubini 627 1.5× 158 0.5× 320 1.1× 108 0.4× 131 0.7× 81 1.8k
Xinyue Song 596 1.4× 239 0.7× 605 2.1× 336 1.2× 221 1.2× 121 2.1k

Countries citing papers authored by Huan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Huan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huan Wu

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