Shiyuan Liu

3.4k total citations · 1 hit paper
139 papers, 2.2k citations indexed

About

Shiyuan Liu is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Shiyuan Liu has authored 139 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Radiology, Nuclear Medicine and Imaging, 80 papers in Pulmonary and Respiratory Medicine and 18 papers in Surgery. Recurrent topics in Shiyuan Liu's work include Radiomics and Machine Learning in Medical Imaging (61 papers), Lung Cancer Diagnosis and Treatment (60 papers) and Medical Imaging Techniques and Applications (19 papers). Shiyuan Liu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (61 papers), Lung Cancer Diagnosis and Treatment (60 papers) and Medical Imaging Techniques and Applications (19 papers). Shiyuan Liu collaborates with scholars based in China, United States and Netherlands. Shiyuan Liu's co-authors include Li Fan, Marjolein A. Heuvelmans, Matthijs Oudkerk, Joan Walter, John K. Field, Ying Yuan, Wenting Tu, Yu Guan, Qiong Li and Xiangsheng Xiao and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Shiyuan Liu

126 papers receiving 2.2k citations

Hit Papers

align trajectories

What are hit papers?

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.

Lung cancer LDCT screening and mortality reduction — evidence, pitfalls and future perspectives

2020 312 citations Shiyuan Liu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shiyuan Liu China	22	1.3k	1.1k	310	275	252	139	2.2k
Carlo Greco Italy	25	1.0k 0.8×	1.2k 1.0×	173 0.6×	466 1.7×	233 0.9×	141	2.4k
Spencer C. Behr United States	26	1.0k 0.8×	981 0.9×	280 0.9×	785 2.9×	254 1.0×	138	2.9k
J.P. Michiel Sedelaar Netherlands	32	992 0.7×	2.6k 2.3×	352 1.1×	281 1.0×	291 1.2×	110	3.3k
Margarita Kirienko Italy	28	1.8k 1.3×	913 0.8×	376 1.2×	489 1.8×	72 0.3×	69	2.3k
Ivan Yeung Canada	24	943 0.7×	926 0.8×	339 1.1×	139 0.5×	148 0.6×	84	1.9k
Claudio Landoni Italy	25	1.4k 1.1×	1.0k 0.9×	202 0.7×	317 1.2×	117 0.5×	87	2.4k
Hideomi Yamashita Japan	30	982 0.7×	1.6k 1.4×	321 1.0×	561 2.0×	138 0.5×	205	3.0k
Imran Zoberi United States	26	812 0.6×	512 0.5×	212 0.7×	306 1.1×	135 0.5×	91	2.0k
Stefanie Corradini Germany	31	1.4k 1.1×	1.7k 1.5×	251 0.8×	540 2.0×	228 0.9×	207	3.6k
Yu‐Dong Zhang China	26	2.1k 1.6×	1.2k 1.1×	339 1.1×	373 1.4×	151 0.6×	109	3.1k

Countries citing papers authored by Shiyuan Liu

Since Specialization

Citations

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

Fields of papers citing papers by Shiyuan Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiyuan Liu

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

All Works

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20 of 20 papers shown

Jiang, Biwei, Jing Yan, Gang Xiang, et al.. (2025). Deep Learning-Based Segmentation of Cervical Posterior Longitudinal Ligament Ossification in Computed Tomography Images and Assessment of Spinal Cord Compression: A Two-Center Study. World Neurosurgery. 194. 123567–123567.

Zhai, Wei, Xiaodan Li, Tengfei Zhou, et al.. (2025). A machine learning-based 18F-FDG PET/CT multi-modality fusion radiomics model to predict Mediastinal-Hilar lymph node metastasis in NSCLC: a multi-centre study. Clinical Radiology. 83. 106832–106832. 1 indexed citations

Yang, Xiao-Li, Michael Dal Molin, Shiyuan Liu, et al.. (2025). Discovery and Total Synthesis of Crossiguanipyrazines with Potent Activity Against Mycobacterium tuberculosis. Angewandte Chemie International Edition. 64(52). e13977–e13977.

Zhang, Di, Mingzi Zhang, Lu Yang, et al.. (2024). Aerodynamic Simulation of Small Airway Resistance: A New Imaging Biomarker for Chronic Obstructive Pulmonary Disease. International Journal of COPD. Volume 19. 1167–1175. 1 indexed citations

Wang, Wenwen, Xiang Wang, Qingchu Li, et al.. (2024). The value of T1- and FST2-Weighted-based radiomics nomogram in differentiating pleomorphic adenoma and Warthin tumor. Translational Oncology. 49. 102087–102087.

Ma, Yanqing, Bing Fan, Yu Guan, et al.. (2024). CT whole lung radiomic nomogram: a potential biomarker for lung function evaluation and identification of COPD. Military Medical Research. 11(1). 14–14. 12 indexed citations

Xia, Yi, et al.. (2024). Quantitative Assessment Characteristics of Small Pulmonary Vessel Remodelling in Populations at High Risk for COPD and Smokers Using Low-Dose CT. International Journal of COPD. Volume 19. 51–62. 1 indexed citations

Zhang, Di, Yu Guan, Weidong Zhang, et al.. (2023). Development of machine learning model to predict pulmonary function with low‐dose CT‐derived parameter response mapping in a community‐based chest screening cohort. Journal of Applied Clinical Medical Physics. 24(11). e14171–e14171. 1 indexed citations

Ma, Qianyun, Wen Yang, Wenjun Huang, et al.. (2023). Extracellular volume fraction as a potential predictor to differentiate lung cancer from benign lung lesions with dual-layer detector spectral CT. Quantitative Imaging in Medicine and Surgery. 13(12). 8121–8131. 4 indexed citations

10.

Qian, Yi, et al.. (2022). Evaluating coronary artery calcification with low-dose chest CT reconstructed by different kernels. Clinical Imaging. 83. 166–171. 5 indexed citations

11.

Wang, Xiang, Lü Yang, Mingzi Zhang, et al.. (2022). Comparison and verification of two deep learning models for the detection of chest CT rib fractures. Acta Radiologica. 64(2). 542–551. 7 indexed citations

12.

Cheng, Yao, et al.. (2022). CircLPAR3 knockdown suppresses esophageal squamous cell carcinoma cell oncogenic phenotypes and Warburg effect through miR-873-5p/LDHA axis. Human & Experimental Toxicology. 41. 3520161935–3520161935. 4 indexed citations

13.

Wang, Xiang, Song Chen, Peng Wang, et al.. (2022). Differentiation of benign and malignant spinal schwannoma using guided attention inference networks on multi-source MRI: comparison with radiomics method and radiologist-based clinical assessment. Acta Radiologica. 64(3). 1184–1193. 2 indexed citations

14.

Guo, Youmin, et al.. (2020). The role of medical imaging in the diagnosis and treatment of new coronavirus pneumonia. Zhonghua fangshexian yixue zazhi. 54. 2 indexed citations

15.

Wang, Xiang, Xingyu Zhao, Qiong Li, et al.. (2019). Can peritumoral radiomics increase the efficiency of the prediction for lymph node metastasis in clinical stage T1 lung adenocarcinoma on CT?. European Radiology. 29(11). 6049–6058. 137 indexed citations

16.

Wang, Hao, et al.. (2019). Quality control of artificial intelligence for medical imaging during clinical use. Zhonghua fangshexian yixue zazhi. 53(9). 723–727. 1 indexed citations

17.

Fan, Li, Yun Wang, Ying Zhou, et al.. (2018). Lung Cancer Screening with Low-Dose CT: Baseline Screening Results in Shanghai. Academic Radiology. 26(10). 1283–1291. 56 indexed citations

18.

Liu, Shiyuan, et al.. (2015). Correlation of thin-section CT morphologic features and pathological vascular invasion in the clinical stage IA peripheral lung adenocarcinoma. Zhonghua fangshexian yixue zazhi. 49(4). 259–263. 1 indexed citations

19.

Wu, Lingling, Wenjun Chang, Jinfeng Zhao, et al.. (2010). Development of Autoantibody Signatures as Novel Diagnostic Biomarkers of Non–Small Cell Lung Cancer. Clinical Cancer Research. 16(14). 3760–3768. 57 indexed citations

20.

Liu, Shiyuan. (2007). Preliminary Study of Clinical Application of Arterial Spin Labeling in the Diagnosis of Central Nervous System Diseases. 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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