Mei Zhou

76 total papers · 1.5k total citations
67 papers, 1.1k citations indexed

About

Mei Zhou is a scholar working on Biophysics, Computer Vision and Pattern Recognition and Media Technology. According to data from OpenAlex, Mei Zhou has authored 67 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Biophysics, 25 papers in Computer Vision and Pattern Recognition and 21 papers in Media Technology. Recurrent topics in Mei Zhou's work include Spectroscopy Techniques in Biomedical and Chemical Research (26 papers), Spectroscopy and Chemometric Analyses (17 papers) and Digital Imaging for Blood Diseases (16 papers). Mei Zhou is often cited by papers focused on Spectroscopy Techniques in Biomedical and Chemical Research (26 papers), Spectroscopy and Chemometric Analyses (17 papers) and Digital Imaging for Blood Diseases (16 papers). Mei Zhou collaborates with scholars based in China and United States. Mei Zhou's co-authors include Qingli Li, Sun Li, Gang Li, Qian Wang, Menghan Hu, Shaoze Wang, Dahong Qian, Juan Ye, Kai Jin and Ying Wen and has published in prestigious journals such as PLoS ONE, IEEE Access and IEEE Transactions on Medical Imaging.

In The Last Decade

Mei Zhou

61 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Mei Zhou 441 400 297 263 224 67 1.1k
Francesco Leporati 185 0.4× 220 0.6× 70 0.2× 122 0.5× 164 0.7× 91 910
Vassili Kovalev 339 0.8× 265 0.7× 88 0.3× 187 0.7× 76 0.3× 59 825
Emanuele Torti 160 0.4× 279 0.7× 76 0.3× 108 0.4× 177 0.8× 67 834
Ovidiu Ghita 633 1.4× 317 0.8× 70 0.2× 80 0.3× 175 0.8× 73 1.0k
Yukio Kosugi 138 0.3× 216 0.5× 128 0.4× 108 0.4× 239 1.1× 84 1.0k
Arvind Mukundan 84 0.2× 148 0.4× 81 0.3× 108 0.4× 93 0.4× 74 865
Alessandro Bria 185 0.4× 256 0.6× 465 1.6× 281 1.1× 118 0.5× 44 1.1k
Lasse Lensu 482 1.1× 734 1.8× 58 0.2× 103 0.4× 42 0.2× 69 1.2k
Muhammad Jaleed Khan 414 0.9× 130 0.3× 46 0.2× 254 1.0× 412 1.8× 35 1.2k
Ela Claridge 163 0.4× 405 1.0× 215 0.7× 182 0.7× 36 0.2× 58 1.2k

Countries citing papers authored by Mei Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Mei Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mei Zhou

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