Hongfu Sun

2.3k total citations
102 papers, 1.6k citations indexed

About

Hongfu Sun is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Hongfu Sun has authored 102 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Radiology, Nuclear Medicine and Imaging, 30 papers in Pulmonary and Respiratory Medicine and 19 papers in Surgery. Recurrent topics in Hongfu Sun's work include Advanced MRI Techniques and Applications (31 papers), Advanced Neuroimaging Techniques and Applications (21 papers) and Lung Cancer Diagnosis and Treatment (20 papers). Hongfu Sun is often cited by papers focused on Advanced MRI Techniques and Applications (31 papers), Advanced Neuroimaging Techniques and Applications (21 papers) and Lung Cancer Diagnosis and Treatment (20 papers). Hongfu Sun collaborates with scholars based in China, Canada and Australia. Hongfu Sun's co-authors include Alan H. Wilman, Gregg Blevins, Heyi Gong, Baosheng Li, Zhongtang Wang, Derek Emery, G. Bruce Pike, Dana Cobzaş, Andrew J. Walsh and R. Marc Lebel and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Hepatology.

In The Last Decade

Hongfu Sun

97 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hongfu Sun China 23 985 394 214 204 164 102 1.6k
Hsiao‐Wen Chung Taiwan 32 1.7k 1.8× 216 0.5× 188 0.9× 391 1.9× 189 1.2× 133 2.8k
Renaud Lhommel Belgium 20 689 0.7× 392 1.0× 94 0.4× 120 0.6× 65 0.4× 86 1.4k
Floris H. P. van Velden Netherlands 26 1.8k 1.9× 482 1.2× 85 0.4× 118 0.6× 64 0.4× 95 2.4k
Bernhard Sattler Germany 22 1.2k 1.2× 249 0.6× 48 0.2× 173 0.8× 117 0.7× 87 1.8k
Matthew R. Palmer United States 22 854 0.9× 343 0.9× 60 0.3× 173 0.8× 123 0.8× 58 1.9k
Hirohiko Kimura Japan 26 1.5k 1.5× 321 0.8× 77 0.4× 138 0.7× 254 1.5× 122 2.1k
Jörg van den Hoff Germany 31 1.6k 1.6× 549 1.4× 47 0.2× 285 1.4× 315 1.9× 97 2.7k
David Thomasson United States 24 1.3k 1.3× 194 0.5× 84 0.4× 360 1.8× 124 0.8× 54 2.2k
Guoying Liu United States 9 1.9k 1.9× 253 0.6× 139 0.6× 160 0.8× 58 0.4× 13 2.2k
Fulvio Zaccagna Italy 22 824 0.8× 497 1.3× 41 0.2× 234 1.1× 79 0.5× 83 1.6k

Countries citing papers authored by Hongfu Sun

Since Specialization
Citations

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

Fields of papers citing papers by Hongfu Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongfu Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Hongfu Sun. A scholar is included among the top collaborators of Hongfu 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 Hongfu Sun. Hongfu Sun 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
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Li, Bobo, Jiaqi Yu, Hongfu Sun, et al.. (2024). Targeting cancer stress-associated hyperinsulinemia and abnormal behavior mitigates lung carcinoma in postmenopausal mouse: Intervention function of peimine. Journal of Functional Foods. 121. 106400–106400. 1 indexed citations
4.
Gao, Yang, et al.. (2024). MRF-mixer: a self-supervised deep learning MRF framework. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition. 1 indexed citations
5.
Liu, Feng, et al.. (2024). Fast Controllable Diffusion Models for Undersampled MRI Reconstruction. 1–5. 5 indexed citations
6.
Gao, Yang, Zhuang Xiong, Pengfei Rong, et al.. (2024). Plug-and-Play latent feature editing for orientation-adaptive quantitative susceptibility mapping neural networks. Medical Image Analysis. 94. 103160–103160. 4 indexed citations
7.
Liu, Chengxin, Hongfu Sun, Wei Huang, et al.. (2023). Sintilimab as maintenance treatment for local/regional recurrent esophageal squamous carcinoma after concurrent chemoradiotherapy: a single-arm Ib/II phase study. Frontiers in Immunology. 14. 1193394–1193394. 1 indexed citations
8.
Gao, Yang, Paul Z. Y. Liu, Brendan Whelan, et al.. (2023). Distortion‐corrected image reconstruction with deep learning on an MRI‐Linac. Magnetic Resonance in Medicine. 90(3). 963–977. 10 indexed citations
9.
Ren, Yu, Guoli Wang, Pingping Wang, et al.. (2023). MM-SFENet: multi-scale multi-task localization and classification of bladder cancer in MRI with spatial feature encoder network. Physics in Medicine and Biology. 69(2). 25009–25009.
10.
Yang, Runze, Alastair Hamilton, Hongfu Sun, et al.. (2022). Detecting monocyte trafficking in an animal model of glioblastoma using R2* and quantitative susceptibility mapping. Cancer Immunology Immunotherapy. 72(3). 733–742. 2 indexed citations
11.
McMorris, Carly A., et al.. (2022). Brain volume and magnetic susceptibility differences in children and adolescents with prenatal alcohol exposure. Alcoholism Clinical and Experimental Research. 46(10). 1797–1807. 6 indexed citations
12.
Gao, Yang, Martijn A. Cloos, Feng Liu, et al.. (2021). Accelerating quantitative susceptibility and R2* mapping using incoherent undersampling and deep neural network reconstruction. NeuroImage. 240. 118404–118404. 16 indexed citations
13.
Guo, Yuan, et al.. (2019). Fuzzy comprehensive discriminant method for complex limestone aquifers in Xinzhi coal mine. SHILAP Revista de lepidopterología. 2 indexed citations
14.
Sun, Hongfu, et al.. (2019). Cerebral OEF quantification: A comparison study between quantitative susceptibility mapping and dual‐gas calibrated BOLD imaging. Magnetic Resonance in Medicine. 83(1). 68–82. 23 indexed citations
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Li, Yueming, et al.. (2019). Texture analysis of multi-phase MRI images to detect expression of Ki67 in hepatocellular carcinoma. Clinical Radiology. 74(10). 813.e19–813.e27. 32 indexed citations
17.
Walsh, Andrew J., Hongfu Sun, Derek Emery, & Alan H. Wilman. (2018). Hematocrit Measurement with R2* and Quantitative Susceptibility Mapping in Postmortem Brain. American Journal of Neuroradiology. 39(7). 1260–1266. 2 indexed citations
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Zhang, Jiän, et al.. (2012). Dose-volume histogram parameters for predicting radiation pneumonitis using receiver operating characteristic curve. Zhonghua fangshe yixue yu fanghu zazhi. 32(5). 505–508. 2 indexed citations
20.
Li, Baosheng, Zheng Fu, Yumei Wei, et al.. (2012). Relationship between 18F-fluorodeoxyglucose uptake in primary lesions and clinicopathological characteristics of esophageal squamous cell carcinoma patients. Experimental and Therapeutic Medicine. 5(1). 170–174. 6 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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