Xu Wu

33 total papers · 860 total citations
27 papers, 643 citations indexed

About

Xu Wu is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Xu Wu has authored 27 papers receiving a total of 643 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Electrical and Electronic Engineering, 12 papers in Biomedical Engineering and 10 papers in Molecular Biology. Recurrent topics in Xu Wu's work include Terahertz technology and applications (22 papers), Spectroscopy and Laser Applications (9 papers) and Advanced Chemical Sensor Technologies (7 papers). Xu Wu is often cited by papers focused on Terahertz technology and applications (22 papers), Spectroscopy and Laser Applications (9 papers) and Advanced Chemical Sensor Technologies (7 papers). Xu Wu collaborates with scholars based in China, United States and Russia. Xu Wu's co-authors include Yan Peng, Songlin Zhuang, Yiming Zhu, Chenjun Shi, Dongshan Wei, Yiming Zhu, Bingwei Liu, Li Zhou, Liping Wang and Tianyi Kou and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemical Engineering Journal and IEEE Access.

In The Last Decade

Xu Wu

23 papers receiving 615 citations

Hit Papers

Terahertz ultrasensitive ... 2023 2026 2024 2023 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
Xu Wu 451 255 140 129 102 27 643
Hwayeong Cheon 498 1.1× 166 0.7× 63 0.5× 127 1.0× 121 1.2× 21 645
Ruiyun Zhou 487 1.1× 416 1.6× 259 1.9× 58 0.4× 38 0.4× 27 760
Maria Massaouti 394 0.9× 213 0.8× 266 1.9× 237 1.8× 129 1.3× 29 665
Hannes Merbold 521 1.2× 409 1.6× 268 1.9× 200 1.6× 110 1.1× 24 721
Geun-Ju Kim 532 1.2× 181 0.7× 56 0.4× 191 1.5× 167 1.6× 37 667
Lie Lin 376 0.8× 178 0.7× 113 0.8× 175 1.4× 49 0.5× 50 616
Marco Reuter 554 1.2× 203 0.8× 176 1.3× 216 1.7× 153 1.5× 21 739
Sang-Kee Choi 337 0.7× 348 1.4× 186 1.3× 48 0.4× 68 0.7× 18 715
A. I. Hernandez-Serrano 491 1.1× 142 0.6× 55 0.4× 154 1.2× 86 0.8× 44 590
J. T. Hong 452 1.0× 320 1.3× 257 1.8× 131 1.0× 17 0.2× 16 626

Countries citing papers authored by Xu Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xu Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xu Wu

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