Yunlan Zhou

80 total papers · 871 total citations
42 papers, 608 citations indexed

About

Yunlan Zhou is a scholar working on Molecular Biology, Cancer Research and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yunlan Zhou has authored 42 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 12 papers in Cancer Research and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yunlan Zhou's work include Cancer-related molecular mechanisms research (5 papers), Optical measurement and interference techniques (5 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Yunlan Zhou is often cited by papers focused on Cancer-related molecular mechanisms research (5 papers), Optical measurement and interference techniques (5 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Yunlan Zhou collaborates with scholars based in China, United States and Canada. Yunlan Zhou's co-authors include Lisong Shen, Guohua Xie, Yanhui Ma, Xiangliang Yuan, Dakang Xu, Lisha Shen, Guie Xie, Jing Li, Junyao Yang and Yong Zhao and has published in prestigious journals such as PLoS ONE, Sensors and Cell Reports.

In The Last Decade

Yunlan Zhou

37 papers receiving 596 citations

Author Peers

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

Author						Papers	Cites
Yunlan Zhou	250	190	164	101	61	42	608
Xinmin Fan	354 1.4×	97 0.5×	212 1.3×	40 0.4×	34 0.6×	29	578
Yanan Sun	280 1.1×	56 0.3×	155 0.9×	101 1.0×	26 0.4×	54	607
Eun-Kyung Bae	263 1.1×	163 0.9×	100 0.6×	106 1.0×	115 1.9×	28	621
Nir Pillar	298 1.2×	70 0.4×	203 1.2×	74 0.7×	20 0.3×	40	689
Ursula Kohlhofer	224 0.9×	86 0.5×	97 0.6×	150 1.5×	23 0.4×	30	659
Yi Li	171 0.7×	186 1.0×	38 0.2×	105 1.0×	115 1.9×	52	668
Vignesh Shanmugam	248 1.0×	83 0.4×	77 0.5×	137 1.4×	34 0.6×	35	616
Kwang‐Sung Ahn	353 1.4×	159 0.8×	80 0.5×	135 1.3×	78 1.3×	51	654
Aditi Chandra	246 1.0×	298 1.6×	44 0.3×	130 1.3×	58 1.0×	35	655
Ye Chen	237 0.9×	57 0.3×	92 0.6×	160 1.6×	38 0.6×	72	668

Countries citing papers authored by Yunlan Zhou

Since Specialization

Citations

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

Fields of papers citing papers by Yunlan Zhou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunlan Zhou

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