Lei Wu

87 total papers · 5.3k total citations
68 papers, 4.6k citations indexed

About

Lei Wu is a scholar working on Biomedical Engineering, Surfaces, Coatings and Films and Electrical and Electronic Engineering. According to data from OpenAlex, Lei Wu has authored 68 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Biomedical Engineering, 31 papers in Surfaces, Coatings and Films and 24 papers in Electrical and Electronic Engineering. Recurrent topics in Lei Wu's work include Surface Modification and Superhydrophobicity (31 papers), Advanced Sensor and Energy Harvesting Materials (18 papers) and Nanomaterials and Printing Technologies (10 papers). Lei Wu is often cited by papers focused on Surface Modification and Superhydrophobicity (31 papers), Advanced Sensor and Energy Harvesting Materials (18 papers) and Nanomaterials and Printing Technologies (10 papers). Lei Wu collaborates with scholars based in China, Singapore and United States. Lei Wu's co-authors include Zhichao Dong, Junping Zhang, Bucheng Li, Aiqin Wang, Yanlin Song, Chuxin Li, Cunlong Yu, Lingxiao Li, Yu Zhang and Lei Jiang and has published in prestigious journals such as Advanced Materials, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Lei Wu

64 papers receiving 4.5k citations

Hit Papers

Highly efficient three-di... 2015 2026 2018 2022 2020 2015 2021 2022 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Lei Wu 2.2k 1.6k 1.3k 1.2k 827 68 4.6k
Kan Li 2.9k 1.3× 1.5k 1.0× 1.2k 0.9× 1.3k 1.1× 408 0.5× 36 4.4k
Cunming Yu 2.7k 1.3× 1.4k 0.9× 945 0.7× 1.1k 0.9× 291 0.4× 63 4.3k
Moyuan Cao 4.0k 1.8× 2.1k 1.3× 1.5k 1.1× 1.4k 1.1× 807 1.0× 87 6.0k
Dongliang Tian 2.3k 1.0× 1.5k 1.0× 455 0.3× 1.4k 1.1× 300 0.4× 78 3.6k
Na Liu 3.5k 1.6× 2.4k 1.6× 828 0.6× 1.3k 1.1× 1.3k 1.6× 129 6.5k
Fu‐Qiang Nie 1.8k 0.8× 1.8k 1.1× 350 0.3× 1.2k 1.0× 484 0.6× 32 3.6k
Mengnan Qu 1.5k 0.7× 1.3k 0.9× 559 0.4× 697 0.6× 368 0.4× 146 3.3k
Zhongxin Xue 4.4k 2.0× 2.6k 1.6× 509 0.4× 1.4k 1.1× 1.1k 1.4× 56 5.8k
Arun K. Kota 4.0k 1.8× 2.3k 1.5× 440 0.3× 1.2k 1.0× 865 1.0× 67 5.7k
Peng Mu 2.4k 1.1× 1.4k 0.9× 2.3k 1.7× 978 0.8× 1.7k 2.0× 98 6.9k

Countries citing papers authored by Lei Wu

Since Specialization
Citations

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

Fields of papers citing papers by Lei Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lei Wu

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