Zhaonan Sun

1.3k total citations
51 papers, 816 citations indexed

About

Zhaonan Sun is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Zhaonan Sun has authored 51 papers receiving a total of 816 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Pulmonary and Respiratory Medicine, 14 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Biomedical Engineering. Recurrent topics in Zhaonan Sun's work include Radiomics and Machine Learning in Medical Imaging (10 papers), Prostate Cancer Diagnosis and Treatment (8 papers) and Machine Learning in Healthcare (6 papers). Zhaonan Sun is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (10 papers), Prostate Cancer Diagnosis and Treatment (8 papers) and Machine Learning in Healthcare (6 papers). Zhaonan Sun collaborates with scholars based in China, United States and Sweden. Zhaonan Sun's co-authors include Manik Varma, S. V. N. Vishwanathan, Soumya Ghosh, Yan Liu, Shuangfei Zhai, Yu Cheng, Zhengping Che, Xiaodong Zhang, Yingpu Cui and Jianying Hu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nano Letters and Bioinformatics.

In The Last Decade

Zhaonan Sun

49 papers receiving 791 citations

Peers

Countries citing papers authored by Zhaonan Sun

Since Specialization

Citations

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

Fields of papers citing papers by Zhaonan Sun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhaonan Sun

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Evaluating the feasibility of AI-predicted bpMRI image features for predicting prostate cancer aggressiveness: a multi-center study 2025 ·Insights into Imaging ·Kexin Wang, (unknown), Zhaonan Sun, Xiangpeng Zhao, (unknown), (unknown), Yahong Chen, (unknown), (unknown), (unknown), (unknown)	0
2	FPR1 affects acute rejection in kidney transplantation by regulating iron metabolism in neutrophils 2025 ·Molecular Medicine ·(unknown), Wenbin Ji, (unknown), (unknown), (unknown), Zhaonan Sun, Yifan Wang, (unknown), Feng Qi	1
3	Green Fluorescent Carbon Dots with Critically Controlled Surface States: Make Silk Shine via Feeding Silkworms 2024 ·Nano Letters ·(unknown), Baojuan Wang, (unknown), Zhaonan Sun, Xirong Zhang, Huan‐Ming Xiong	14
4	Multifunctional Carbon Dots Derived from Human Hair for Fast Healing Wounds Together with Oleogels 2024 ·SHILAP Revista de lepidopterología ·(unknown), Qianli Ma, (unknown), (unknown), (unknown), (unknown), Wei Xu, Zhaonan Sun, Jingwei Zhang, Huan‐Ming Xiong, Yuanqing Mao	6
5	Assessing the Performance of Artificial Intelligence Assistance for Prostate MRI: A Two‐Center Study Involving Radiologists With Different Experience Levels 2024 ·Journal of Magnetic Resonance Imaging ·Zhaonan Sun, Kexin Wang, Ge Gao, (unknown), (unknown), Jialun Li, Xiaodong Zhang, Xiaoying Wang	3
6	Deep‐Learning Models for Detection and Localization of Visible Clinically Significant Prostate Cancer on Multi‐Parametric MRI 2023 ·Journal of Magnetic Resonance Imaging ·Zhaonan Sun, (unknown), Yingpu Cui, Xiang Liu, Kexin Wang, Ge Gao, (unknown), Xiaodong Zhang, Xiaoying Wang	23
7	A multicenter study of artificial intelligence-aided software for detecting visible clinically significant prostate cancer on mpMRI 2023 ·Insights into Imaging ·Zhaonan Sun, Kexin Wang, (unknown), (unknown), Yahong Chen, (unknown), Yang Yu, Bin Song, (unknown), Xiangpeng Wang, Xiaodong Zhang, Xiaoying Wang	18
8	Preoperative prediction of pelvic lymph nodes metastasis in prostate cancer using an ADC-based radiomics model: comparison with clinical nomograms and PI-RADS assessment 2022 ·Abdominal Radiology ·Xiang Liu, (unknown), Yaofeng Zhang, Zhaonan Sun, Xiaodong Zhang, Xiaoying Wang	10
9	Isosteviol reduces the acute inflammatory response after burns by upregulating MMP9 in macrophages leading to M2 polarization 2022 ·International Immunopharmacology ·(unknown), Wenbin Ji, Zhaonan Sun, Xiulan Wang, (unknown), (unknown), Lingling Duan, Feng Qi	14
10	A Machine‐Learning Derived Huntington's Disease Progression Model: Insights for Clinical Trial Design 2021 ·Movement Disorders ·Amrita Mohan, Zhaonan Sun, Soumya Ghosh, Ying Li, Swati Sathe, Jianying Hu, Cristina Sampaio	22
11	Quantitative evaluation of chronically obstructed kidneys from noncontrast computed tomography based on deep learning 2021 ·European Journal of Radiology ·Zhaonan Sun, Yingpu Cui, Xiangyang Liu, Zhiyong Lin, Weipeng Liu, Xiangpeng Wang, Jingyuan Zhang, Xiaodong Zhang, Xiaoying Wang	2
12	Multidirectional mechanical properties and constitutive modeling of human adipose tissue under dynamic loading 2021 ·Acta Biomaterialia ·Zhaonan Sun, Bronisław Gepner, (unknown), (unknown), Patrick S. Cottler, Jason J. Hallman, Jason Kerrigan	27
13	Development and validation of the 3D U-Net algorithm for segmentation of pelvic lymph nodes on diffusion-weighted images 2021 ·BMC Medical Imaging ·Xiang Liu, Zhaonan Sun, Chao Han, Yingpu Cui, Jiahao Huang, Xiangpeng Wang, Xiaodong Zhang, Xiaoying Wang	15
14	Automated segmentation of kidney and renal mass and automated detection of renal mass in CT urography using 3D U-Net-based deep convolutional neural network 2021 ·European Radiology ·Zhiyong Lin, Yingpu Cui, Jia Liu, Zhaonan Sun, Shuai Ma, Xiaodong Zhang, Xiaoying Wang	39
15	Automatic Detection and Scoring of Kidney Stones on Noncontrast CT Images Using S.T.O.N.E. Nephrolithometry: Combined Deep Learning and Thresholding Methods 2020 ·Molecular Imaging and Biology ·Yingpu Cui, Zhaonan Sun, Shuai Ma, Weipeng Liu, (unknown), Xiaodong Zhang, Xiaoying Wang	44
16	DPVis: Visual Analytics With Hidden Markov Models for Disease Progression Pathways 2020 ·IEEE Transactions on Visualization and Computer Graphics ·Bum Chul Kwon, Vibha Anand, Kristen Severson, Soumya Ghosh, Zhaonan Sun, Brigitte I. Frohnert, Markus Lundgren, Kenney Ng	42
17	Complication Risk Profiling in Diabetes Care: A Bayesian Multi-Task and Feature Relationship Learning Approach 2019 ·IEEE Transactions on Knowledge and Data Engineering ·Bin Liu, Ying Li, Soumya Ghosh, Zhaonan Sun, Kenney Ng, Jianying Hu	18
18	SIRT1 mediates salidroside‐elicited protective effects against MPP⁺‐induced apoptosis and oxidative stress in SH‐SY5Y cells: involvement in suppressing MAPK pathways 2017 ·Cell Biology International ·(unknown), Zhaonan Sun, (unknown), Chao Zhang	36
19	A Data-Driven Method for Generating Robust Symptom Onset Indicators in Disease Registry Data. 2017 ·AMIA ·Zhaonan Sun, Ying Li, Soumya Ghosh, Yu Cheng, Amrita Mohan, Cristina Sampaio	1
20	Multiple Kernel Learning and the SMO Algorithm 2010 ·Neural Information Processing Systems ·Zhaonan Sun, (unknown), Manik Varma, S. V. N. Vishwanathan	110

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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