Hua Zhou

266 total papers · 10.0k total citations
199 papers, 8.6k citations indexed

About

Hua Zhou is a scholar working on Biomedical Engineering, Surfaces, Coatings and Films and Materials Chemistry. According to data from OpenAlex, Hua Zhou has authored 199 papers receiving a total of 8.6k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Biomedical Engineering, 57 papers in Surfaces, Coatings and Films and 50 papers in Materials Chemistry. Recurrent topics in Hua Zhou's work include Advanced Sensor and Energy Harvesting Materials (67 papers), Surface Modification and Superhydrophobicity (56 papers) and Electrospun Nanofibers in Biomedical Applications (27 papers). Hua Zhou is often cited by papers focused on Advanced Sensor and Energy Harvesting Materials (67 papers), Surface Modification and Superhydrophobicity (56 papers) and Electrospun Nanofibers in Biomedical Applications (27 papers). Hua Zhou collaborates with scholars based in China, Australia and United States. Hua Zhou's co-authors include Tong Lin, Hongxia Wang, Haitao Niu, Yan Zhao, Adrian Gestos, Steven L. Suib, C. Pozrikidis, Xungai Wang, Jian Fang and Yanmei Zhou and has published in prestigious journals such as Chemical Reviews, Advanced Materials and Angewandte Chemie International Edition.

In The Last Decade

Hua Zhou

191 papers receiving 8.5k citations

Hit Papers

Fluoroalkyl Silane Modifi... 2012 2026 2016 2021 2012 2012 2017 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Hua Zhou 3.1k 3.0k 2.6k 2.3k 1.5k 199 8.6k
Nü Wang 3.0k 1.0× 3.3k 1.1× 1.6k 0.6× 2.5k 1.1× 821 0.5× 119 7.8k
Yuyan Liu 2.6k 0.8× 1.7k 0.6× 2.7k 1.0× 1.7k 0.7× 2.2k 1.5× 223 7.8k
Qinghua Zhang 2.2k 0.7× 3.1k 1.0× 2.7k 1.0× 3.5k 1.5× 698 0.5× 310 10.7k
Fu Liu 4.1k 1.3× 1.8k 0.6× 2.9k 1.1× 2.5k 1.1× 1.2k 0.8× 194 9.8k
Yi He 2.2k 0.7× 1.6k 0.5× 3.9k 1.5× 1.6k 0.7× 616 0.4× 254 8.0k
Ke‐Qin Zhang 3.1k 1.0× 2.1k 0.7× 3.6k 1.4× 2.3k 1.0× 800 0.5× 225 10.1k
Mingzheng Ge 2.5k 0.8× 2.7k 0.9× 3.2k 1.2× 3.7k 1.6× 1.1k 0.8× 97 9.4k
Xiao Gong 2.0k 0.6× 2.0k 0.6× 4.0k 1.5× 2.2k 0.9× 597 0.4× 190 8.0k
Hepeng Zhang 2.7k 0.8× 1.1k 0.4× 3.2k 1.2× 1.7k 0.7× 1.2k 0.8× 216 8.5k
Sam S. Yoon 3.1k 1.0× 1.7k 0.5× 3.0k 1.1× 4.2k 1.8× 2.1k 1.4× 361 10.7k

Countries citing papers authored by Hua Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Hua Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hua Zhou

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