Yu Luo

850 total citations
58 papers, 539 citations indexed

About

Yu Luo is a scholar working on Epidemiology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yu Luo has authored 58 papers receiving a total of 539 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Epidemiology, 28 papers in Radiology, Nuclear Medicine and Imaging and 14 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yu Luo's work include Acute Ischemic Stroke Management (27 papers), Radiomics and Machine Learning in Medical Imaging (13 papers) and Cerebrovascular and Carotid Artery Diseases (10 papers). Yu Luo is often cited by papers focused on Acute Ischemic Stroke Management (27 papers), Radiomics and Machine Learning in Medical Imaging (13 papers) and Cerebrovascular and Carotid Artery Diseases (10 papers). Yu Luo collaborates with scholars based in China, United States and Canada. Yu Luo's co-authors include Shuang Xia, E. Mark Haacke, Meiyun Wang, Dongmei Wu, David Utriainen, Hyun Seok Choi, Yongming Dai, Saifeng Liu, Charbel Habib and Jiani Hu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Yu Luo

50 papers receiving 533 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Luo China 14 200 191 128 95 90 58 539
Frauke Kellner‐Weldon Switzerland 15 89 0.4× 136 0.7× 146 1.1× 138 1.5× 88 1.0× 34 485
Kavous Firouznia Iran 14 132 0.7× 45 0.2× 72 0.6× 114 1.2× 62 0.7× 75 675
Haydar Çelik Türkiye 13 174 0.9× 53 0.3× 61 0.5× 83 0.9× 78 0.9× 43 482
Youming Zhang China 14 218 1.1× 81 0.4× 82 0.6× 145 1.5× 86 1.0× 46 723
Ebba Beller Germany 13 128 0.6× 62 0.3× 53 0.4× 44 0.5× 35 0.4× 27 356
Sameer Khan United Kingdom 13 172 0.9× 129 0.7× 223 1.7× 151 1.6× 125 1.4× 29 670
Bahram Mohajer Iran 13 203 1.0× 46 0.2× 45 0.4× 119 1.3× 66 0.7× 33 660
Wojciech Ambrosius Poland 13 51 0.3× 155 0.8× 109 0.9× 22 0.2× 157 1.7× 28 541
Jinxia Zhu China 14 224 1.1× 161 0.8× 183 1.4× 67 0.7× 134 1.5× 62 534
David Utriainen United States 15 205 1.0× 210 1.1× 75 0.6× 39 0.4× 381 4.2× 25 684

Countries citing papers authored by Yu Luo

Since Specialization
Citations

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

Fields of papers citing papers by Yu Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Luo. A scholar is included among the top collaborators of Yu Luo 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 Yu Luo. Yu Luo 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.
Ahmad, Faizan, et al.. (2025). MSCS-Net: A deep learning framework for accurate segmentation of low-resolution stroke lesions. Measurement. 257. 118925–118925.
2.
Huang, Guangtao, et al.. (2024). Quantitative Perfusion Maps Using a Novelty Spatiotemporal Convolutional Neural Network. 1–5. 2 indexed citations
3.
Luo, Yu, et al.. (2024). Differentiating calcifications from cerebral microbleeds using quantitative susceptibility mapping. European Radiology. 35(4). 2043–2052. 3 indexed citations
4.
Luo, Yu, Eliza C. Miller, Yong Zhou, et al.. (2024). Automatic detection of cerebral microbleeds using susceptibility weighted imaging and artificial intelligence. Quantitative Imaging in Medicine and Surgery. 14(3). 2640–2654. 4 indexed citations
5.
Hassan, Haseeb, et al.. (2024). Leveraging Ensemble Models and Follow-up Data for Accurate Prediction of mRS Scores from Radiomic Features of DSC-PWI Images. Journal of Imaging Informatics in Medicine. 38(3). 1467–1483. 2 indexed citations
6.
Lv, Ke, Yanzhen Liu, Yongsheng Chen, et al.. (2023). The iron burden of cerebral microbleeds contributes to brain atrophy through the mediating effect of white matter hyperintensity. NeuroImage. 281. 120370–120370. 2 indexed citations
7.
8.
Wang, Jing, Haiyan Guo, Han Wang, et al.. (2023). NaGdF4-based magnetic resonance nanoprobes for qualitative inflammation imaging in glioma: Hot or cold?. Chemical Engineering Journal. 479. 147916–147916. 1 indexed citations
9.
Bin, Xiaoyun, Yu Luo, Peng Huang, et al.. (2023). The Role of H2-Calponin Antigen in Cancer Metastasis: Presence of Autoantibodies in Liver Cancer Patients. International Journal of Molecular Sciences. 24(12). 9864–9864. 1 indexed citations
10.
Wang, Mingming, Yaying Zhang, Zilai Pan, et al.. (2023). Magnetic Resonance Perfusion-Weighted Imaging in Predicting Hemorrhagic Transformation of Acute Ischemic Stroke: A Retrospective Study. Diagnostics. 13(22). 3404–3404.
11.
Yang, Yingjian, et al.. (2022). A Focus on the Role of DSC-PWI Dynamic Radiomics Features in Diagnosis and Outcome Prediction of Ischemic Stroke. Journal of Clinical Medicine. 11(18). 5364–5364. 16 indexed citations
12.
Li, Hongwei, et al.. (2022). Measurement of Cerebral Oxygen Extraction Fraction Using Quantitative BOLD Approach: A Review. PubMed. 3(1). 101–118. 5 indexed citations
13.
Luo, Yu, Chengcheng Zhu, Chao Chai, et al.. (2021). Dynamic Changes of Asymmetric Cortical Veins Relate to Neurologic Prognosis in Acute Ischemic Stroke. Radiology. 301(3). 672–681. 6 indexed citations
14.
Wang, Shaoshi, Meiyun Wang, E. Mark Haacke, et al.. (2021). Quantitative susceptibility-weighted imaging may be an accurate method for determining stroke hypoperfusion and hypoxia of penumbra. European Radiology. 31(8). 6323–6333. 13 indexed citations
15.
Liu, Song, Weiwei Xie, Qingqing Zhang, et al.. (2020). Plaque characteristics and hemodynamics contribute to neurological impairment in patients with ischemic stroke and transient ischemic attack. European Radiology. 31(4). 2062–2072. 18 indexed citations
16.
Wang, Yue, Jingjing Xiao, Yu Luo, et al.. (2019). Risk factors of perfusion and diffusion abnormalities on MRI in hemispheric TIA: a case-control study. Annals of Translational Medicine. 7(24). 808–808. 3 indexed citations
17.
18.
Li, Shitong, et al.. (2018). The predictive value of hunger score on gastric evacuation after oral intake of carbohydrate solution. BMC Anesthesiology. 18(1). 6–6. 3 indexed citations
19.
Xiong, Wei, Yu Luo, Lin Wu, et al.. (2016). Chemerin Stimulates Vascular Smooth Muscle Cell Proliferation and Carotid Neointimal Hyperplasia by Activating Mitogen-Activated Protein Kinase Signaling. PLoS ONE. 11(10). e0165305–e0165305. 20 indexed citations
20.

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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