Xiaoyun Liang

1.5k total citations
52 papers, 823 citations indexed

About

Xiaoyun Liang is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Xiaoyun Liang has authored 52 papers receiving a total of 823 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Radiology, Nuclear Medicine and Imaging, 19 papers in Cognitive Neuroscience and 5 papers in Molecular Biology. Recurrent topics in Xiaoyun Liang's work include Functional Brain Connectivity Studies (17 papers), Advanced Neuroimaging Techniques and Applications (16 papers) and Advanced MRI Techniques and Applications (13 papers). Xiaoyun Liang is often cited by papers focused on Functional Brain Connectivity Studies (17 papers), Advanced Neuroimaging Techniques and Applications (16 papers) and Advanced MRI Techniques and Applications (13 papers). Xiaoyun Liang collaborates with scholars based in China, Australia and Taiwan. Xiaoyun Liang's co-authors include Alan Connelly, Fernando Calamante, Chun‐Hung Yeh, Leslie A. Zebrowitz, Maxime Descoteaux, Yi Zhang, Derek K. Jones, Yun Jiang, Longfeng Wang and Robert E. Smith and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Stroke.

In The Last Decade

Xiaoyun Liang

45 papers receiving 808 citations

Peers

Xiaoyun Liang
Zhou Xiangping China
Yasuhiko Nakamura Japan
Ali Yadollahpour Iran
Jennifer Stine Elam United States
Zhengshi Yang United States
L. Li China
Xiaojuan Ma China
Srinivasa Rao Bolla India
Javier Cabello Sánchez Spain
Lijie Liu China
Zhou Xiangping China
Xiaoyun Liang
Citations per year, relative to Xiaoyun Liang Xiaoyun Liang (= 1×) peers Zhou Xiangping

Countries citing papers authored by Xiaoyun Liang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyun Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyun Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyun Liang. A scholar is included among the top collaborators of Xiaoyun Liang 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 Xiaoyun Liang. Xiaoyun Liang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Liang, Xiaoyun, Ping Wang, Xiaoyu Cheng, et al.. (2024). Quantifying cerebral blood flow changes using arterial spin labeling: A comparative study of idiopathic rapid eye movement sleep behavior disorder and Parkinson's disease. Magnetic Resonance Imaging. 109. 158–164. 1 indexed citations
3.
Bai, Xiaohui, Yihua Chen, Xiaoyun Liang, et al.. (2024). VP4-2024: First-in-class PD-1/IL-2 bispecific antibody fusion protein IBI363 in patients (pts) with advanced solid tumors: First-in-human phase I study. Annals of Oncology. 35(7). 681–682. 4 indexed citations
4.
5.
Li, Yang, Yang Yang, Hongjun Wang, et al.. (2024). Multi-branch fusion graph neural network based on multi-head attention for childhood seizure detection. Frontiers in Physiology. 15. 1439607–1439607. 1 indexed citations
6.
Huang, Ting, Shanwen Liu, Meng Li, et al.. (2024). Correlation between iron deposition and cognitive function in mild to moderate Alzheimer’s disease based on quantitative susceptibility mapping. Frontiers in Aging Neuroscience. 16. 1485530–1485530. 3 indexed citations
7.
Yu, Hui, et al.. (2023). LN-Net: Perfusion Pattern-Guided Deep Learning for Lymph Node Metastasis Diagnosis Based on Contrast-Enhanced Ultrasound Videos. Ultrasound in Medicine & Biology. 49(5). 1248–1258. 5 indexed citations
8.
Liang, Xiaoyun, et al.. (2022). Effects of Chitosan/EGCG@MNPs Nanocomposite Packaging on Preservation of Blueberries Stored at Low Temperature and Normal Temperature. SHILAP Revista de lepidopterología. 3 indexed citations
9.
Liang, Xiaoyun, Chia‐Lin Koh, Chun‐Hung Yeh, et al.. (2021). Predicting Post-Stroke Somatosensory Function from Resting-State Functional Connectivity: A Feasibility Study. Brain Sciences. 11(11). 1388–1388. 7 indexed citations
10.
Liang, Xiaoyun, et al.. (2021). T2 MRI at 3T of cartilage and menisci in patients with hyperuricemia: initial findings. Skeletal Radiology. 51(3). 607–618. 1 indexed citations
11.
Fazlollahi, Amir, Fernando Calamante, Xiaoyun Liang, et al.. (2019). Increased cerebral blood flow with increased amyloid burden in the preclinical phase of alzheimer's disease. Journal of Magnetic Resonance Imaging. 51(2). 505–513. 37 indexed citations
12.
Liang, Xiaoyun, Chun‐Hung Yeh, Alan Connelly, & Fernando Calamante. (2019). A Novel Method for Extracting Hierarchical Functional Subnetworks Based on a Multisubject Spectral Clustering Approach. Brain Connectivity. 9(5). 399–414. 1 indexed citations
13.
Calamante, Fernando, Robert E. Smith, Xiaoyun Liang, Andrew Zalesky, & Alan Connelly. (2017). Track-weighted dynamic functional connectivity (TW-dFC): a new method to study time-resolved functional connectivity. Brain Structure and Function. 222(8). 3761–3774. 14 indexed citations
14.
Yeh, Chun‐Hung, Robert E. Smith, Xiaoyun Liang, Fernando Calamante, & Alan Connelly. (2016). Correction for diffusion MRI fibre tracking biases: The consequences for structural connectomic metrics. NeuroImage. 142. 150–162. 62 indexed citations
15.
Liang, Xiaoyun, Alan Connelly, & Fernando Calamante. (2015). Voxel-Wise Functional Connectomics Using Arterial Spin Labeling Functional Magnetic Resonance Imaging: The Role of Denoising. Brain Connectivity. 5(9). 543–553. 22 indexed citations
16.
Liang, Xiaoyun, Alan Connelly, Jacques‐Donald Tournier, & Fernando Calamante. (2014). A variable flip angle-based method for reducing blurring in 3D GRASE ASL. Physics in Medicine and Biology. 59(18). 5559–5573. 13 indexed citations
17.
Liang, Xiaoyun, Alan Connelly, & Fernando Calamante. (2013). Graph analysis of resting-state ASL perfusion MRI data: Nonlinear correlations among CBF and network metrics. NeuroImage. 87. 265–275. 40 indexed citations
18.
Wang, Zhengyou, et al.. (2007). Decimative subspace-based parameter estimation methods of magnetic resonance spectroscopy based on prior knowledge. Magnetic Resonance Imaging. 26(3). 401–412. 1 indexed citations
19.
Liang, Xiaoyun, et al.. (2005). Estimation and Removal of Physiological Noise from Undersampled Multi-slice fMRI data in Image Space. PubMed. 31. 1371–1373. 3 indexed citations
20.
Peng, Xiaoxia, Yali Zhao, Xiaoyun Liang, et al.. (2005). Assessing the quality of RCTs on the effect of β-elemene, one ingredient of a Chinese herb, against malignant tumors. Contemporary Clinical Trials. 27(1). 70–82. 46 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.

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