Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis
2021351 citationsXiaoxiao Li, Yuan Zhou et al.Medical Image Analysisprofile →
SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation
2022213 citationsYuan Zhou, Lawrence H. Staib et al.IEEE Transactions on Medical Imagingprofile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
citations ·
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This map shows the geographic impact of Yuan 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 Yuan Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuan Zhou more than expected).
This network shows the impact of papers produced by Yuan 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 Yuan Zhou. The network helps show where Yuan Zhou may publish in the future.
Co-authorship network of co-authors of Yuan Zhou
This figure shows the co-authorship network connecting the top 25 collaborators of Yuan Zhou.
A scholar is included among the top collaborators of Yuan 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 Yuan Zhou. Yuan Zhou is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Zhou, Yuan, et al.. (2021). Sensing Characteristics of Uncoated Double Cladding Long-period Fiber Grating Based on Mode Transition and Dual-peak Resonance. Current Optics and Photonics. 5(3). 243–249.1 indexed citations
10.
Li, Xiaoxiao, Yuan Zhou, Nicha C. Dvornek, et al.. (2021). BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis. Medical Image Analysis. 74. 102233–102233.351 indexed citations breakdown →
Zhou, Yuan. (2012). Studies on HPLC Fingerprint of Shuangshan Granules. Zhongguo shiyan fangjixue zazhi.1 indexed citations
13.
Zhou, Yuan. (2011). Research Status and Trend of the Dephosphorization Technology of High-phosphorus Iron Ore.1 indexed citations
14.
Ai, Guanghua & Yuan Zhou. (2010). Experiment Study on Flotation of Mixed Sample from North and South Ore Belt in a Copper Mine of Jiangxi. Mining and Metallurgical Engineering. 30(5). 40–43.1 indexed citations
15.
Zhou, Yuan. (2008). Germicidal Efficiency and Mechanisms of Escherichia Coli by Remote Oxygen Plasma. Xi'an Jiaotong Daxue xuebao.
16.
Zhou, Yuan & Richard S.J. Tol. (2005). Water Use in China’s Domestic, Industrial and Agricultural Sectors: An Empirical Analysis. RePEc: Research Papers in Economics.8 indexed citations
17.
Zhou, Yuan. (2005). The Study of Leaching Gold Concentrate by Lime-Sulphur-Synthelic-Solution(LSSS) Method.1 indexed citations
18.
Zhou, Yuan. (2005). A Digital Filter Algorithm for Filtering Baseline Wander and Power-line Interference.1 indexed citations
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.