Yan Cao

55 total papers · 1.3k total citations
32 papers, 881 citations indexed

About

Yan Cao is a scholar working on Analytical Chemistry, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yan Cao has authored 32 papers receiving a total of 881 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Analytical Chemistry, 12 papers in Biomedical Engineering and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yan Cao's work include Spectroscopy and Chemometric Analyses (14 papers), Advanced Chemical Sensor Technologies (8 papers) and Smart Agriculture and AI (5 papers). Yan Cao is often cited by papers focused on Spectroscopy and Chemometric Analyses (14 papers), Advanced Chemical Sensor Technologies (8 papers) and Smart Agriculture and AI (5 papers). Yan Cao collaborates with scholars based in China, United States and United Kingdom. Yan Cao's co-authors include Kunshan Yao, Min Xu, Jun Sun, Xin Zhou, Raimond L. Winslow, Michael I. Miller, Laurent Younès, Jiehong Cheng, Jun Sun and Yan Tian and has published in prestigious journals such as Food Chemistry, IEEE Access and IEEE Transactions on Medical Imaging.

In The Last Decade

Yan Cao

29 papers receiving 863 citations

Author Peers

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

Author Last Decade Papers Cites
Yan Cao 312 178 165 131 131 32 881
David Nilsson 203 0.7× 125 0.7× 41 0.2× 152 1.2× 161 1.2× 35 939
Ming Li 203 0.7× 181 1.0× 68 0.4× 146 1.1× 82 0.6× 108 1.0k
Muhammad Juhairi Aziz Safar 191 0.6× 176 1.0× 52 0.3× 142 1.1× 37 0.3× 42 729
Yang Tao 305 1.0× 119 0.7× 203 1.2× 134 1.0× 256 2.0× 31 770
Ke Sun 332 1.1× 217 1.2× 193 1.2× 254 1.9× 20 0.2× 33 950
Mehrübe Mehrübeoğlu 121 0.4× 336 1.9× 86 0.5× 84 0.6× 119 0.9× 85 704
Xiaodong Zhang 167 0.5× 153 0.9× 64 0.4× 90 0.7× 38 0.3× 57 813
Ken Cai 240 0.8× 102 0.6× 73 0.4× 67 0.5× 20 0.2× 32 775
Peng Huang 120 0.4× 141 0.8× 82 0.5× 308 2.4× 111 0.8× 64 970
Hui Huang 426 1.4× 286 1.6× 82 0.5× 64 0.5× 23 0.2× 55 880

Countries citing papers authored by Yan Cao

Since Specialization
Citations

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

Fields of papers citing papers by Yan Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Cao. A scholar is included among the top collaborators of Yan Cao 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 Yan Cao. Yan Cao 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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2026