Dong Sun

856 total citations
11 papers, 557 citations indexed

About

Dong Sun is a scholar working on Radiology, Nuclear Medicine and Imaging, Infectious Diseases and Surgery. According to data from OpenAlex, Dong Sun has authored 11 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Infectious Diseases and 3 papers in Surgery. Recurrent topics in Dong Sun's work include Radiomics and Machine Learning in Medical Imaging (4 papers), COVID-19 Clinical Research Studies (3 papers) and COVID-19 and healthcare impacts (2 papers). Dong Sun is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), COVID-19 Clinical Research Studies (3 papers) and COVID-19 and healthcare impacts (2 papers). Dong Sun collaborates with scholars based in China, Spain and United States. Dong Sun's co-authors include Wenzhen Zhu, Ying Xiong, Xiaoming Li, Yao Liu, Yanqing Fan, Lingyun Zhao, Dajing Guo, Chuanming Li, Linli Chen and Fang Zheng and has published in prestigious journals such as Medicine, Neuroscience Letters and Frontiers in Oncology.

In The Last Decade

Dong Sun

11 papers receiving 533 citations

Peers

Dong Sun

RNMI

ID

NEURO

ONCOL

PRM

Pinggui Lei China

Xiaojia Wu China

Marcello Petrini Italy

Souhail Bennani France

Chungao Li China

Flavio Cesare Bodini Italy

Davide Colombi Italy

Gabriele Maffi Italy

Sayan Manna United States

Nicholas Voutsinas United States

Pinggui Lei China

Dong Sun

322 ×1.0

RNMI

159 ×0.6

ID

119 ×0.9

NEURO

45 ×0.5

ONCOL

91 ×1.4

PRM

Citations per year, relative to Dong Sun Dong Sun (= 1×) peers Pinggui Lei

Countries citing papers authored by Dong Sun

Since Specialization

Citations

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

Fields of papers citing papers by Dong Sun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dong Sun

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

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Fan, Jiajun, et al.. (2025). Hydrogeochemical analysis of the groundwater composition and risk to human health of an abandoned mine area, southwest China. Environmental Monitoring and Assessment. 197(3). 313–313. 2 indexed citations

2.

Sun, Dong, Xiaojia Wu, Yuwei Xia, et al.. (2021). Differentiating Parkinson’s disease motor subtypes: A radiomics analysis based on deep gray nuclear lesion and white matter. Neuroscience Letters. 760. 136083–136083. 14 indexed citations

3.

Sun, Dong, Dajing Guo, Fang Zheng, et al.. (2020). CT Quantitative Analysis and Its Relationship with Clinical Features for Assessing the Severity of Patients with COVID-19. Korean Journal of Radiology. 21(7). 859–859. 64 indexed citations

4.

Luo, Sha, Zhiming Zhou, Dajing Guo, et al.. (2020). Radiomics‐based classification models for HBV‐related cirrhotic patients with covert hepatic encephalopathy. Brain and Behavior. 11(2). e01970–e01970. 4 indexed citations

5.

Li, Kunhua, Yang Yang, Dajing Guo, Dong Sun, & Chuanming Li. (2020). Clinical and MRI Features of Posterior Reversible Encephalopathy Syndrome With Atypical Regions: A Descriptive Study With a Large Sample Size. Frontiers in Neurology. 11. 33 indexed citations

6.

Xiong, Ying, et al.. (2020). Clinical and CT characteristics of healthcare workers with COVID-19. Medicine. 99(30). e21396–e21396. 3 indexed citations

7.

Xiong, Ying, Dong Sun, Yao Liu, et al.. (2020). Clinical and High-Resolution CT Features of the COVID-19 Infection: Comparison of the Initial and Follow-up Changes. Investigative Radiology. 55(6). 332–339. 319 indexed citations

8.

Liu, Jia, Dong Sun, Linli Chen, et al.. (2019). Radiomics Analysis of Dynamic Contrast-Enhanced Magnetic Resonance Imaging for the Prediction of Sentinel Lymph Node Metastasis in Breast Cancer. Frontiers in Oncology. 9. 980–980. 94 indexed citations

9.

Cheng, Jie, et al.. (2019). Correlation of cervical and thoracic inlet sagittal parameters by MRI and radiography in patients with cervical spondylosis. Medicine. 98(7). e14393–e14393. 16 indexed citations

10.

Li, Yongbo, et al.. (2018). SPECT-CT versus MRI in localizing active lesions in patients with osteoporotic vertebral compression fractures. Nuclear Medicine Communications. 39(7). 610–617. 7 indexed citations

11.

Sun, Dong, et al.. (1989). Diagnostic value of computed tomography in parotid tumours.. Dentomaxillofacial Radiology. 18(2). 77–81. 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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