Yi Shan

2.9k total citations
89 papers, 1.7k citations indexed

About

Yi Shan is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Yi Shan has authored 89 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Radiology, Nuclear Medicine and Imaging, 28 papers in Computer Vision and Pattern Recognition and 19 papers in Cognitive Neuroscience. Recurrent topics in Yi Shan's work include Functional Brain Connectivity Studies (18 papers), Advanced Neuroimaging Techniques and Applications (18 papers) and Advanced Neural Network Applications (17 papers). Yi Shan is often cited by papers focused on Functional Brain Connectivity Studies (18 papers), Advanced Neuroimaging Techniques and Applications (18 papers) and Advanced Neural Network Applications (17 papers). Yi Shan collaborates with scholars based in China, United States and France. Yi Shan's co-authors include Yu Wang, Lu Tian, Huazhong Yang, Jie Lu, Li Wang, Ningyi Xu, Bo Wang, Li Dong, Yousong Zhu and Yu Zhang and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and NeuroImage.

In The Last Decade

Yi Shan

81 papers receiving 1.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yi Shan China 20 688 397 302 298 264 89 1.7k
Mohammad I. Daoud Jordan 20 257 0.4× 206 0.5× 170 0.6× 261 0.9× 348 1.3× 82 1.3k
Shanq-Jang Ruan Taiwan 19 823 1.2× 239 0.6× 149 0.5× 162 0.5× 161 0.6× 161 1.4k
Yinan Kong Australia 18 478 0.7× 157 0.4× 63 0.2× 751 2.5× 59 0.2× 88 1.5k
Mounir Boukadoum Canada 23 311 0.5× 501 1.3× 41 0.1× 434 1.5× 146 0.6× 185 1.9k
Yuan Yao China 15 192 0.3× 304 0.8× 122 0.4× 125 0.4× 386 1.5× 77 1.1k
Erjin Zhou China 13 1.9k 2.7× 570 1.4× 131 0.4× 689 2.3× 55 0.2× 15 2.4k
Feng Wu China 23 861 1.3× 549 1.4× 29 0.1× 266 0.9× 199 0.8× 151 1.9k
C. Eswaran Malaysia 22 522 0.8× 131 0.3× 39 0.1× 362 1.2× 93 0.4× 138 2.2k
Francesco Conti Italy 24 595 0.9× 999 2.5× 513 1.7× 405 1.4× 372 1.4× 102 2.0k
Peizhao Zhang United States 14 1.4k 2.0× 224 0.6× 46 0.2× 825 2.8× 75 0.3× 28 1.9k

Countries citing papers authored by Yi Shan

Since Specialization
Citations

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

Fields of papers citing papers by Yi Shan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi Shan

This figure shows the co-authorship network connecting the top 25 collaborators of Yi Shan. A scholar is included among the top collaborators of Yi Shan 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 Yi Shan. Yi Shan 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
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Zhang, Yufeng, Peng An, Qianhui Wu, et al.. (2025). Adjust adsorption capacity and charge redistribution by S-anion effect in Ni2Fe1S4 nanowires for OER in alkaline. Journal of Alloys and Compounds. 1040. 183631–183631.
4.
Shan, Yi, Shaozhen Yan, Zhe Wang, et al.. (2023). Impact of brain segmentation methods on regional metabolism quantification in 18F-FDG PET/MR analysis. EJNMMI Research. 13(1). 79–79. 1 indexed citations
5.
Zhang, Miao, Yi Shan, Xuesong Bai, et al.. (2023). Multimodal CT imaging characteristics may predict post-reperfusion infarct volume in wake-up stroke patients. Quantitative Imaging in Medicine and Surgery. 13(2). 878–888. 1 indexed citations
6.
Bi, Sheng, Yi Shan, Bixiao Cui, et al.. (2023). Multiparametric hippocampal signatures for early diagnosis of Alzheimer's disease using 18F‐FDG PET/MRI Radiomics. CNS Neuroscience & Therapeutics. 30(4). e14539–e14539. 5 indexed citations
7.
Li, Jing, Yi Shan, Penghu Wei, et al.. (2023). Structural and functional changes in the brain after chronic complete thoracic spinal cord injury. Brain Research. 1823. 148680–148680. 4 indexed citations
8.
Zhu, Haowei, et al.. (2022). Dual Cross-Attention Learning for Fine-Grained Visual Categorization and Object Re-Identification. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 4682–4692. 135 indexed citations
9.
Wang, Min, Bixiao Cui, Yi Shan, et al.. (2022). Non-Invasive Glucose Metabolism Quantification Method Based on Unilateral ICA Image Derived Input Function by Hybrid PET/MR in Ischemic Cerebrovascular Disease. IEEE Journal of Biomedical and Health Informatics. 26(10). 5122–5129. 2 indexed citations
10.
Wang, Peipei, Zhenxiang Zang, Miao Zhang, et al.. (2021). Longitudinal Changes of Sensorimotor Resting-State Functional Connectivity Differentiate between Patients with Thalamic Infarction and Pontine Infarction. Neural Plasticity. 2021. 1–9. 2 indexed citations
11.
Zhang, Miao, et al.. (2021). Comparison of Black Hole Sign, Satellite Sign, and Iodine Sign to Predict Hematoma Expansion in Patients with Spontaneous Intracerebral Hemorrhage. BioMed Research International. 2021(1). 3919710–3919710. 7 indexed citations
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Shan, Yi, Bixiao Cui, Kun Shang, et al.. (2020). Altered coupling between resting‐state glucose metabolism and functional activity in epilepsy. Annals of Clinical and Translational Neurology. 7(10). 1831–1842. 19 indexed citations
14.
Shan, Yi, Boyan Xu, Shuang Li, et al.. (2020). Assessment of MRI-based anomalous diffusion changes in brain ischemic stroke with a fractional motion model. Journal of Magnetic Resonance. 317. 106795–106795. 1 indexed citations
15.
Wu, Di, et al.. (2019). A High-Performance CNN Processor Based on FPGA for MobileNets. 136–143. 98 indexed citations
16.
Shan, Yi, Zhi­qun Wang, Zhilian Zhao, et al.. (2018). Neuronal Specificity of Acupuncture in Alzheimer’s Disease and Mild Cognitive Impairment Patients: A Functional MRI Study. Evidence-based Complementary and Alternative Medicine. 2018(1). 7619197–7619197. 37 indexed citations
17.
Wang, Peipei, Xiuqin Jia, Miao Zhang, et al.. (2018). Correlation of Longitudinal Gray Matter Volume Changes and Motor Recovery in Patients After Pontine Infarction. Frontiers in Neurology. 9. 312–312. 15 indexed citations
18.
Fan, Xiaotong, Hao Yan, Yi Shan, et al.. (2016). Distinctive Structural and Effective Connectivity Changes of Semantic Cognition Network across Left and Right Mesial Temporal Lobe Epilepsy Patients. Neural Plasticity. 2016. 1–11. 8 indexed citations
19.
Wang, Bo, et al.. (2010). Efficient PageRank and SpMV Computation on AMD GPUs. 81–89. 32 indexed citations
20.
Shan, Yi. (2005). The effect of psychological and behavioral intervention on early postoperative cognitive dysfunction after heart valve replacements. Zhonghua xingwei yixue yu naokexue zazhi. 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.

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