Shaofeng Duan

3.4k total citations
141 papers, 2.3k citations indexed

About

Shaofeng Duan is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Shaofeng Duan has authored 141 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 131 papers in Radiology, Nuclear Medicine and Imaging, 55 papers in Pulmonary and Respiratory Medicine and 29 papers in Surgery. Recurrent topics in Shaofeng Duan's work include Radiomics and Machine Learning in Medical Imaging (113 papers), MRI in cancer diagnosis (30 papers) and Advanced X-ray and CT Imaging (23 papers). Shaofeng Duan is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (113 papers), MRI in cancer diagnosis (30 papers) and Advanced X-ray and CT Imaging (23 papers). Shaofeng Duan collaborates with scholars based in China, United States and Spain. Shaofeng Duan's co-authors include Ning Mao, Haizhu Xie, Zhongqiu Wang, Shuai Ren, Jihua Liu, Dapeng Hao, Hui Zheng, Hui Peng, Dengbin Wang and Ting Xue and has published in prestigious journals such as Stroke, Scientific Reports and Radiology.

In The Last Decade

Shaofeng Duan

138 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shaofeng Duan China 28 1.9k 855 460 449 319 141 2.3k
Cuishan Liang China 11 2.2k 1.2× 1.0k 1.2× 755 1.6× 610 1.4× 273 0.9× 14 2.7k
Mengjie Fang China 31 2.5k 1.3× 1.4k 1.7× 657 1.4× 564 1.3× 341 1.1× 65 3.0k
Zelan Ma China 12 2.3k 1.2× 1.1k 1.3× 795 1.7× 630 1.4× 264 0.8× 18 2.8k
Margarita Kirienko Italy 28 1.8k 0.9× 913 1.1× 489 1.1× 376 0.8× 255 0.8× 69 2.3k
Martin W. Huellner Switzerland 31 1.7k 0.9× 950 1.1× 552 1.2× 398 0.9× 90 0.3× 168 2.9k
Yuhua Gu United States 9 2.2k 1.2× 875 1.0× 403 0.9× 671 1.5× 489 1.5× 20 2.5k
Fanny Orlhac France 21 2.9k 1.5× 914 1.1× 499 1.1× 833 1.9× 373 1.2× 48 3.1k
Sang Joon Park South Korea 23 1.3k 0.7× 882 1.0× 321 0.7× 435 1.0× 97 0.3× 93 2.1k

Countries citing papers authored by Shaofeng Duan

Since Specialization
Citations

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

Fields of papers citing papers by Shaofeng Duan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaofeng Duan

This figure shows the co-authorship network connecting the top 25 collaborators of Shaofeng Duan. A scholar is included among the top collaborators of Shaofeng Duan 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 Shaofeng Duan. Shaofeng Duan 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.
Zhang, Yuan, et al.. (2024). Predicting Functional Outcomes of Endovascular Thrombectomy in Acute Ischemic Stroke Using a Clinical-Radiomics Nomogram. World Neurosurgery. 193. 911–919. 1 indexed citations
2.
Li, Qingrun, et al.. (2024). CT-based radiomics models predict spontaneous intracerebral hemorrhage expansion and are comparable with CT angiography spot sign. Frontiers in Neurology. 15. 1332509–1332509. 2 indexed citations
4.
Dai, Neng, Zhangwei Chen, Fan Zhou, et al.. (2023). Coronary CT angiography-derived plaque characteristics and physiologic patterns for peri-procedural myocardial infarction and subsequent events. European Heart Journal - Cardiovascular Imaging. 24(7). 897–908. 5 indexed citations
5.
Xu, Qingqing, Yan Zhu, Xi Zhang, et al.. (2023). Clinical features and FLAIR radiomics nomogram for predicting functional outcomes after thrombolysis in ischaemic stroke. Frontiers in Neuroscience. 17. 1063391–1063391. 4 indexed citations
6.
Nie, Pei, Juntao Zhang, Wenjie Miao, et al.. (2023). Incremental value of radiomics-based heterogeneity to the existing risk criteria in predicting recurrence of hepatocellular carcinoma after liver transplantation. European Radiology. 33(9). 6608–6618. 10 indexed citations
7.
Dai, Neng, Bu‐Chun Zhang, Haidong Cai, et al.. (2023). Comparison of 2D-QCA, 3D-QCA and coronary angiography derived FFR in predicting myocardial ischemia assessed by CZT-SPECT MPI. Journal of Nuclear Cardiology. 30(5). 1973–1982. 2 indexed citations
8.
Dai, Neng, Bu‐Chun Zhang, Haojun Yu, et al.. (2023). Quantitative flow ratio derived pullback pressure gradient and CZT-SPECT measured longitudinal flow gradient for hemodynamically significant coronary artery disease. Journal of Nuclear Cardiology. 30(5). 1992–2002. 2 indexed citations
9.
Wang, Lijun, Ran Luo, Yanhong Chen, et al.. (2023). Breast Cancer Growth on Serial MRI : Volume Doubling Time Based on 3‐Dimensional Tumor Volume Assessment. Journal of Magnetic Resonance Imaging. 58(4). 1303–1313.
10.
Wang, Gang, et al.. (2023). Preoperative evaluating early recurrence in resectable pancreatic ductal adenocarcinoma by using CT radiomics. Abdominal Radiology. 49(2). 484–491. 6 indexed citations
11.
Dai, Neng, Zhangwei Chen, Dong Huang, et al.. (2023). Pre‐stenting angiography‐FFR based physiological map provides virtual intervention and predicts physiological and clinical outcomes. Catheterization and Cardiovascular Interventions. 101(6). 1053–1061. 1 indexed citations
12.
Jiang, Liang, Siyu Wang, Shaofeng Duan, et al.. (2022). Development and external validation of a stability machine learning model to identify wake-up stroke onset time from MRI. European Radiology. 32(6). 3661–3669. 13 indexed citations
14.
15.
Gao, Jiahao, Fang Han, Xiaoshuang Wang, Shaofeng Duan, & Jiawen Zhang. (2021). Multi-Phase CT-Based Radiomics Nomogram for Discrimination Between Pancreatic Serous Cystic Neoplasm From Mucinous Cystic Neoplasm. Frontiers in Oncology. 11. 699812–699812. 7 indexed citations
16.
Wang, Hexiang, Jian Zhang, Shan Bao, et al.. (2020). Preoperative MRI‐Based Radiomic Machine‐Learning Nomogram May Accurately Distinguish Between Benign and Malignant Soft‐Tissue Lesions: A Two‐Center Study. Journal of Magnetic Resonance Imaging. 52(3). 873–882. 55 indexed citations
17.
Duan, Shaofeng, et al.. (2020). Radiomic features of Pk-DCE MRI parameters based on the extensive Tofts model in application of breast cancer. Physical and Engineering Sciences in Medicine. 43(2). 517–524. 15 indexed citations
19.
Huang, Qiao, et al.. (2020). Differentiation of usual vertebral compression fractures using CT histogram analysis as quantitative biomarkers: A proof-of-principle study. European Journal of Radiology. 131. 109264–109264. 8 indexed citations
20.
Wang, Hexiang, et al.. (2019). Radiomics and Machine Learning With Multiparametric Preoperative MRI May Accurately Predict the Histopathological Grades of Soft Tissue Sarcomas. Journal of Magnetic Resonance Imaging. 51(3). 791–797. 58 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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