Yan Qin

58 total papers · 812 total citations
33 papers, 665 citations indexed

About

Yan Qin is a scholar working on Mechanical Engineering, Materials Chemistry and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yan Qin has authored 33 papers receiving a total of 665 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Mechanical Engineering, 7 papers in Materials Chemistry and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yan Qin's work include Optical measurement and interference techniques (4 papers), Electrospun Nanofibers in Biomedical Applications (3 papers) and Cellular and Composite Structures (3 papers). Yan Qin is often cited by papers focused on Optical measurement and interference techniques (4 papers), Electrospun Nanofibers in Biomedical Applications (3 papers) and Cellular and Composite Structures (3 papers). Yan Qin collaborates with scholars based in China, Australia and Switzerland. Yan Qin's co-authors include Zhifeng Yang, Xu Zhao, Hong Yang, Bin Chen, Wantai Yang, Dong Chen, Yuhong Ma, Zhigang Dong, Renke Kang and Changwen Zhao and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and ACS Applied Materials & Interfaces.

In The Last Decade

Yan Qin

28 papers receiving 651 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 Qin 302 181 139 110 95 33 665
Lu Zhang 104 0.3× 262 1.4× 87 0.6× 112 1.0× 38 0.4× 29 707
Alberto Ferruccio Piccinni 231 0.8× 168 0.9× 58 0.4× 45 0.4× 122 1.3× 37 778
Yueling Zhang 88 0.3× 256 1.4× 145 1.0× 140 1.3× 44 0.5× 27 670
Shirley Gato-Trinidad 395 1.3× 263 1.5× 97 0.7× 47 0.4× 78 0.8× 27 744
Xu Wang 470 1.6× 101 0.6× 129 0.9× 61 0.6× 200 2.1× 47 719
Feifei Wang 240 0.8× 73 0.4× 36 0.3× 100 0.9× 30 0.3× 37 729
Temitope Fausat Ajibade 230 0.8× 87 0.5× 40 0.3× 88 0.8× 24 0.3× 26 700
Can He 344 1.1× 75 0.4× 165 1.2× 121 1.1× 57 0.6× 38 709
Chenjie Wu 100 0.3× 88 0.5× 147 1.1× 102 0.9× 39 0.4× 33 612
Hui-qiang Li 329 1.1× 129 0.7× 73 0.5× 113 1.0× 10 0.1× 50 691

Countries citing papers authored by Yan Qin

Since Specialization
Citations

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

Fields of papers citing papers by Yan Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Qin

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