Chong Duan

740 total citations
24 papers, 563 citations indexed

About

Chong Duan is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Chong Duan has authored 24 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Pulmonary and Respiratory Medicine and 4 papers in Oncology. Recurrent topics in Chong Duan's work include Radiomics and Machine Learning in Medical Imaging (8 papers), Advanced MRI Techniques and Applications (8 papers) and MRI in cancer diagnosis (5 papers). Chong Duan is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (8 papers), Advanced MRI Techniques and Applications (8 papers) and MRI in cancer diagnosis (5 papers). Chong Duan collaborates with scholars based in United States, China and Denmark. Chong Duan's co-authors include Zhengjie He, Rong Zhou, Michael J. Kim, Michelle Miller‐Thomas, Joshua S. Shimony, Jian Campian, Albert H. Kim, David D. Tran, Eric C. Leuthardt and Jianfang Wang and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Chong Duan

23 papers receiving 558 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chong Duan United States 12 189 143 126 95 90 24 563
In Hwan Park South Korea 12 118 0.6× 99 0.7× 38 0.3× 89 0.9× 129 1.4× 32 570
Julianne M. Pollard United States 8 250 1.3× 63 0.4× 48 0.4× 28 0.3× 147 1.6× 11 735
Cheng Zhou China 14 76 0.4× 68 0.5× 31 0.2× 51 0.5× 201 2.2× 53 605
Mariarosaria Panico Italy 18 370 2.0× 81 0.6× 34 0.3× 14 0.1× 64 0.7× 42 841
Valentina Romano Italy 18 324 1.7× 114 0.8× 180 1.4× 15 0.2× 253 2.8× 33 1.1k
Y Yonekura Japan 9 329 1.7× 64 0.4× 23 0.2× 25 0.3× 111 1.2× 24 626
Magdy M. Khalil Egypt 13 334 1.8× 175 1.2× 16 0.1× 16 0.2× 95 1.1× 48 691
Tomoya Kaneda Japan 17 89 0.5× 33 0.2× 51 0.4× 46 0.5× 147 1.6× 73 901
Yongxing Du China 17 259 1.4× 68 0.5× 109 0.9× 7 0.1× 74 0.8× 55 744

Countries citing papers authored by Chong Duan

Since Specialization
Citations

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

Fields of papers citing papers by Chong Duan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chong Duan

This figure shows the co-authorship network connecting the top 25 collaborators of Chong Duan. A scholar is included among the top collaborators of Chong 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 Chong Duan. Chong 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.
Weberling, Lukas D., Andreas Ochs, Mitchel Benovoy, et al.. (2025). Machine Learning to Automatically Differentiate Hypertrophic Cardiomyopathy, Cardiac Light Chain, and Cardiac Transthyretin Amyloidosis: A Multicenter CMR Study. Circulation Cardiovascular Imaging. 18(7). e017761–e017761. 2 indexed citations
2.
Sako, Chiharu, Chong Duan, Kevin Maresca, et al.. (2024). Real-world and clinical trial validation of a deep learning radiomic biomarker for PD-(L)1 immune checkpoint inhibitor response in stage IV NSCLC.. Journal of Clinical Oncology. 42(16_suppl). 102–102.
3.
Sako, Chiharu, Chong Duan, Kevin Maresca, et al.. (2024). Real-World and Clinical Trial Validation of a Deep Learning Radiomic Biomarker for PD-(L)1 Immune Checkpoint Inhibitor Response in Advanced Non–Small Cell Lung Cancer. JCO Clinical Cancer Informatics. 8(8). e2400133–e2400133. 5 indexed citations
4.
Montgomery, Mary K., et al.. (2023). Applying deep learning to segmentation of murine lung tumors in pre-clinical micro-computed tomography. Translational Oncology. 40. 101833–101833. 3 indexed citations
5.
Duan, Chong, et al.. (2022). Fully automated mouse echocardiography analysis using deep convolutional neural networks. American Journal of Physiology-Heart and Circulatory Physiology. 323(4). H628–H639. 9 indexed citations
6.
Zhu, Yanjie, Ahmed S. Fahmy, Chong Duan, Shiro Nakamori, & Reza Nezafat. (2020). Automated Myocardial T2 and Extracellular Volume Quantification in Cardiac MRI Using Transfer Learning–based Myocardium Segmentation. Radiology Artificial Intelligence. 2(1). e190034–e190034. 27 indexed citations
7.
Neisius, Ulf, Ahmed S. Fahmy, Shiro Nakamori, et al.. (2019). Cardiovascular magnetic resonance feature tracking strain analysis for discrimination between hypertensive heart disease and hypertrophic cardiomyopathy. PLoS ONE. 14(8). e0221061–e0221061. 55 indexed citations
8.
Duan, Chong, Yanjie Zhu, Jihye Jang, et al.. (2018). Non‐contrast myocardial infarct scar assessment using a hybrid native T1 and magnetization transfer imaging sequence at 1.5T. Magnetic Resonance in Medicine. 81(5). 3192–3201. 9 indexed citations
9.
Zhu, Yanjie, Jinkyu Kang, Chong Duan, et al.. (2018). Integrated motion correction and dictionary learning for free‐breathing myocardial T1 mapping. Magnetic Resonance in Medicine. 81(4). 2644–2654. 13 indexed citations
10.
Duan, Chong, Ruimeng Yang, Liya Yuan, et al.. (2018). Late Effects of Radiation Prime the Brain Microenvironment for Accelerated Tumor Growth. International Journal of Radiation Oncology*Biology*Physics. 103(1). 190–194. 18 indexed citations
11.
Yang, Ruimeng, Chong Duan, Liya Yuan, et al.. (2017). Inhibitors of HIF-1α and CXCR4 Mitigate the Development of Radiation Necrosis in Mouse Brain. International Journal of Radiation Oncology*Biology*Physics. 100(4). 1016–1025. 27 indexed citations
12.
Duan, Chong, Jesper Folsted Kallehauge, Carlos J. Pérez‐Torres, et al.. (2017). Modeling Dynamic Contrast-Enhanced MRI Data with a Constrained Local AIF. Molecular Imaging and Biology. 20(1). 150–159. 5 indexed citations
13.
Duan, Chong, Carlos J. Pérez‐Torres, Liya Yuan, et al.. (2017). Can anti-vascular endothelial growth factor antibody reverse radiation necrosis? A preclinical investigation. Journal of Neuro-Oncology. 133(1). 9–16. 16 indexed citations
14.
Duan, Chong, Colm A. Ryan, Shin Utsuzawa, Yi‐Qiao Song, & Martin D. Hürlimann. (2017). Effect of off-resonance on T1 saturation recovery measurement in inhomogeneous fields. Journal of Magnetic Resonance. 281. 31–43. 8 indexed citations
15.
16.
Duan, Chong, Jesper Folsted Kallehauge, G. Larry Bretthorst, et al.. (2016). Are complex DCE‐MRI models supported by clinical data?. Magnetic Resonance in Medicine. 77(3). 1329–1339. 30 indexed citations
17.
Leuthardt, Eric C., Chong Duan, Michael J. Kim, et al.. (2016). Hyperthermic Laser Ablation of Recurrent Glioblastoma Leads to Temporary Disruption of the Peritumoral Blood Brain Barrier. PLoS ONE. 11(2). e0148613–e0148613. 162 indexed citations
18.
Beeman, Scott C., Patrick Osei‐Owusu, Chong Duan, et al.. (2015). Renal DCE-MRI Model Selection Using Bayesian Probability Theory. Tomography. 1(1). 61–68. 8 indexed citations
19.
Kallehauge, Jesper Folsted, Kari Tanderup, Chong Duan, et al.. (2014). Tracer kinetic model selection for dynamic contrast-enhanced magnetic resonance imaging of locally advanced cervical cancer. Acta Oncologica. 53(8). 1064–1072. 15 indexed citations
20.
Zhou, Rong, Chong Duan, Chang‐Jiang Yang, & Zhengjie He. (2014). Phosphane‐Catalyzed [4+1] Annulation between Nitroalkenes and Morita–Baylis–Hillman Carbonates: Facile Synthesis of Isoxazoline N‐Oxides by Phosphorus Ylides. Chemistry - An Asian Journal. 9(4). 1183–1189. 31 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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