Quan Guo

65 total papers · 1.6k total citations
42 papers, 1.2k citations indexed

About

Quan Guo is a scholar working on Artificial Intelligence, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Quan Guo has authored 42 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 12 papers in Biomedical Engineering and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Quan Guo's work include Erythrocyte Function and Pathophysiology (7 papers), Microfluidic and Bio-sensing Technologies (6 papers) and Blood properties and coagulation (6 papers). Quan Guo is often cited by papers focused on Erythrocyte Function and Pathophysiology (7 papers), Microfluidic and Bio-sensing Technologies (6 papers) and Blood properties and coagulation (6 papers). Quan Guo collaborates with scholars based in China, Canada and United States. Quan Guo's co-authors include Hongshen Ma, Kerryn Matthews, Simon P. Duffy, Yi Zhang, Sun‐Young Park, Mark D. Scott, Lianhong Cai, Petra Rohrbach, Sarah J. Reiling and Huijie Lin and has published in prestigious journals such as Blood, Scientific Reports and Small.

In The Last Decade

Quan Guo

40 papers receiving 1.1k citations

Author Peers

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

Author						Papers	Cites
Quan Guo	468	241	232	202	127	42	1.2k
Cheryl Roe	56 0.1×	136 0.6×	131 0.6×	108 0.5×	50 0.4×	33	1.2k
D. Graf Keyserlingk	104 0.2×	119 0.5×	91 0.4×	82 0.4×	46 0.4×	50	1.2k
Amos Folarin	107 0.2×	160 0.7×	92 0.4×	54 0.3×	31 0.2×	57	1.2k
Sungjin Park	113 0.2×	100 0.4×	117 0.5×	381 1.9×	40 0.3×	56	1.3k
Yoon‐Chul Kim	162 0.3×	212 0.9×	148 0.6×	189 0.9×	119 0.9×	71	1.3k
Qi Guo	76 0.2×	179 0.7×	60 0.3×	88 0.4×	266 2.1×	72	1.3k
Steven Wang	100 0.2×	138 0.6×	97 0.4×	41 0.2×	32 0.3×	38	1.0k
Bing Yang	48 0.1×	119 0.5×	74 0.3×	87 0.4×	244 1.9×	42	1.1k
Yoshitaka Maeda	97 0.2×	52 0.2×	298 1.3×	66 0.3×	34 0.3×	114	1.3k
Karl E. Misulis	122 0.3×	180 0.7×	63 0.3×	45 0.2×	13 0.1×	29	1.2k

Countries citing papers authored by Quan Guo

Since Specialization

Citations

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

Fields of papers citing papers by Quan Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Quan Guo

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