Shaodong Cao

480 total citations
22 papers, 289 citations indexed

About

Shaodong Cao is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Shaodong Cao has authored 22 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Cardiology and Cardiovascular Medicine and 5 papers in Surgery. Recurrent topics in Shaodong Cao's work include Medical Image Segmentation Techniques (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Cardiac Valve Diseases and Treatments (4 papers). Shaodong Cao is often cited by papers focused on Medical Image Segmentation Techniques (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Cardiac Valve Diseases and Treatments (4 papers). Shaodong Cao collaborates with scholars based in China, United Kingdom and Canada. Shaodong Cao's co-authors include Gongning Luo, Henggui Zhang, Kuanquan Wang, Suyu Dong, Wangmeng Zuo, Shuo Li, Kezheng Wang, Qince Li, Wei Wang and Song Li and has published in prestigious journals such as Nature Communications, PLoS ONE and Fuel.

In The Last Decade

Shaodong Cao

21 papers receiving 286 citations

Peers

Shaodong Cao
Yuguang Ye China
Iván Macía Spain
Danilo Babin Belgium
Wenjun Yan China
Zhaoyun Cheng China
Haiyan Du China
Fereshteh Yousefirizi Canada
Martin Segeroth Switzerland
Dominik Neumann Germany
Benoît Presles France
Yuguang Ye China
Shaodong Cao
Citations per year, relative to Shaodong Cao Shaodong Cao (= 1×) peers Yuguang Ye

Countries citing papers authored by Shaodong Cao

Since Specialization
Citations

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

Fields of papers citing papers by Shaodong Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaodong Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Shaodong Cao. A scholar is included among the top collaborators of Shaodong Cao 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 Shaodong Cao. Shaodong Cao 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.
Luo, Gongning, Longxi Zhou, Shaodong Cao, et al.. (2025). Deep learning-driven pulmonary artery and vein segmentation reveals demography-associated vasculature anatomical differences. Nature Communications. 16(1). 2262–2262. 2 indexed citations
2.
Zhang, Yuyang, Gongning Luo, Wei Wang, et al.. (2025). A continuous-action deep reinforcement learning-based agent for coronary artery centerline extraction in coronary CT angiography images. Medical & Biological Engineering & Computing. 63(6). 1837–1847.
3.
4.
Yang, Liping, et al.. (2023). [18F] AlF‑NOTA‑FAPI‑04 PET/CT as a promising tool for imaging fibroblast activation protein in gastrointestinal system cancers: a prospective investigation of comparative analysis with 18F-FDG. European Journal of Nuclear Medicine and Molecular Imaging. 50(13). 4051–4063. 12 indexed citations
5.
Zhang, Liwei, Yan Cai, Haiyan Qin, et al.. (2023). Application value of a nomogram model based on clinical and MRI features in predicting invasive placenta. 2(1). 1 indexed citations
6.
Zhang, Yuyang, Gongning Luo, Wei Wang, et al.. (2023). TTN: Topological Transformer Network for Automated Coronary Artery Branch Labeling in Cardiac CT Angiography. IEEE Journal of Translational Engineering in Health and Medicine. 12. 129–139. 2 indexed citations
7.
Yang, Liping, Ying Zhang, Tingting Wu, et al.. (2022). PET/CT-based radiomics analysis may help to predict neoadjuvant chemotherapy outcomes in breast cancer. Frontiers in Oncology. 12. 849626–849626. 12 indexed citations
8.
Cao, Shaodong, et al.. (2022). Feasibility Study of Intelligent Three-Dimensional Accurate Liver Reconstruction Technology Based on MRI Data. Frontiers in Medicine. 9. 834555–834555. 1 indexed citations
9.
Fang, Li‐Qun, et al.. (2022). Research on classification algorithm of cerebral small vessel disease based on convolutional neural network. Journal of Intelligent & Fuzzy Systems. 44(2). 3107–3114. 2 indexed citations
10.
Cao, Shaodong, et al.. (2021). A Giant Borderline Phyllodes Tumor of Breast With Skin Ulceration Leading to Non-Insular Tumorigenic Hypoglycemia: A Case Report and Literature Review. Frontiers in Endocrinology. 12. 651568–651568. 4 indexed citations
11.
Liu, Peiyu, Zenghua Li, Xiaoyan Zhang, et al.. (2021). Study on the inhibition effect of citric acid on coal spontaneous combustion. Fuel. 310. 122268–122268. 34 indexed citations
12.
Dong, Suyu, Gongning Luo, Wei Wang, et al.. (2020). Deep Atlas Network for Efficient 3D Left Ventricle Segmentation on Echocardiography. Medical Image Analysis. 61. 101638–101638. 40 indexed citations
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Luo, Gongning, Wei Wang, Kuanquan Wang, et al.. (2020). Dynamically constructed network with error correction for accurate ventricle volume estimation. Medical Image Analysis. 64. 101723–101723. 6 indexed citations
16.
Zhao, Wenyuan, Wenbing Guo, Shaodong Cao, et al.. (2020). Prediction Model Combining Clinical and MR Data for Diagnosis of Lymph Node Metastasis in Patients With Rectal Cancer. Journal of Magnetic Resonance Imaging. 53(3). 874–883. 18 indexed citations
17.
Luo, Gongning, Suyu Dong, Wei Wang, et al.. (2019). Commensal correlation network between segmentation and direct area estimation for bi-ventricle quantification. Medical Image Analysis. 59. 101591–101591. 20 indexed citations
18.
Li, Weihua, et al.. (2018). Imaging c-Met expression using 18F-labeled binding peptide in human cancer xenografts. PLoS ONE. 13(6). e0199024–e0199024. 13 indexed citations
19.
Luo, Gongning, Kuanquan Wang, Shaodong Cao, Qince Li, & Henggui Zhang. (2018). A Temporal Area Variation Regularized Deep Learning Network for Left Ventricle Segmentation on Cardiac Magnetic Resonance. Computing in cardiology. 2 indexed citations
20.
Luo, Gongning, Suyu Dong, Kuanquan Wang, et al.. (2017). Multi-Views Fusion CNN for Left Ventricular Volumes Estimation on Cardiac MR Images. IEEE Transactions on Biomedical Engineering. 65(9). 1924–1934. 60 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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