Quan Li

123 total papers · 1.4k total citations
73 papers, 1.1k citations indexed

About

Quan Li is a scholar working on Molecular Biology, Plant Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Quan Li has authored 73 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 10 papers in Plant Science and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Quan Li's work include Wood Treatment and Properties (6 papers), Advanced Neural Network Applications (6 papers) and Soil Carbon and Nitrogen Dynamics (4 papers). Quan Li is often cited by papers focused on Wood Treatment and Properties (6 papers), Advanced Neural Network Applications (6 papers) and Soil Carbon and Nitrogen Dynamics (4 papers). Quan Li collaborates with scholars based in China, Japan and United States. Quan Li's co-authors include Jian Ren, Donald Küfe, Xinzhang Song, Bao-Li Zhu, Takaki Ishikawa, Hitoshi Maeda, Tomomi Michiue, Hiroaki Kuwahara, Kermit L. Carraway and Wei‐Hsuan Yu and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and PLoS ONE.

In The Last Decade

Quan Li

61 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Quan Li 453 202 124 118 93 73 1.1k
Xiaoman Zhang 387 0.9× 108 0.5× 99 0.8× 35 0.3× 49 0.5× 70 1.0k
Henrik Karring 339 0.7× 173 0.9× 95 0.8× 220 1.9× 36 0.4× 45 1.2k
Yong‐Chan Kim 446 1.0× 283 1.4× 93 0.8× 53 0.4× 77 0.8× 110 1.4k
Juan Casado‐Vela 816 1.8× 407 2.0× 56 0.5× 54 0.5× 125 1.3× 47 1.5k
Xueling Liu 443 1.0× 71 0.4× 241 1.9× 128 1.1× 63 0.7× 79 1.2k
Hang Ruan 720 1.6× 105 0.5× 55 0.4× 18 0.2× 103 1.1× 64 1.5k
Jinping Wu 303 0.7× 210 1.0× 34 0.3× 42 0.4× 129 1.4× 59 954
Kai Jiang 323 0.7× 188 0.9× 32 0.3× 83 0.7× 63 0.7× 84 956
Seong Eun Lee 459 1.0× 110 0.5× 56 0.5× 127 1.1× 152 1.6× 84 1.3k
Guochun Li 632 1.4× 90 0.4× 87 0.7× 48 0.4× 64 0.7× 68 1.4k

Countries citing papers authored by Quan Li

Since Specialization
Citations

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

Fields of papers citing papers by Quan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Quan Li

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