Fandong Zhang

576 total citations
22 papers, 253 citations indexed

About

Fandong Zhang is a scholar working on Artificial Intelligence, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, Fandong Zhang has authored 22 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Pulmonary and Respiratory Medicine and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Fandong Zhang's work include AI in cancer detection (10 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Cerebrovascular and Carotid Artery Diseases (5 papers). Fandong Zhang is often cited by papers focused on AI in cancer detection (10 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Cerebrovascular and Carotid Artery Diseases (5 papers). Fandong Zhang collaborates with scholars based in China, Hong Kong and United States. Fandong Zhang's co-authors include Yizhou Yu, Jufu Feng, Yizhou Wang, Yuhang Liu, Qianyi Zhang, Xinwei Sun, Chengwei Pan, Xianpeng Wu, Gangming Zhao and Kongming Liang and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Fandong Zhang

20 papers receiving 248 citations

Peers

Countries citing papers authored by Fandong Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Fandong Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fandong Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Fandong Zhang. A scholar is included among the top collaborators of Fandong Zhang 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 Fandong Zhang. Fandong Zhang 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	Automatic Segmentation and Molecular Subtype Classification of Breast Cancer Using an MRI-based Deep Learning Framework 2025 ·Radiology Imaging Cancer ·Xiaoxia Wang, Xiaofei Hu, (unknown), Hua Yang, (unknown), (unknown), Yao Huang, (unknown), (unknown), Fandong Zhang, Yizhou Yu, Jiuquan Zhang	1
2	Automated Grading of Vesicoureteral Reflux (VUR) Using a Dual-Stream CNN Model with Deep Supervision 2025 ·Journal of Imaging Informatics in Medicine ·Guangjie Chen, (unknown), Shuxin Wang, Xiaoqing Liu, (unknown), Fandong Zhang, Yijun Zhao, (unknown), (unknown), Xiaohao Wang, Gang Yu	0
3	A large language model for clinical outcome adjudication from telephone follow-up interviews: a secondary analysis of a multicenter randomized clinical trial 2025 ·Nature Communications ·Zhao Shi, (unknown), (unknown), Jian Zhong, (unknown), Fandong Zhang, Zijian Chen, (unknown), (unknown), Qinmei Xu, (unknown), (unknown), (unknown), Jinlong Zhao, (unknown), Yizhou Yu, Long Jiang Zhang	0
4	A deep learning model for carotid plaques detection based on CTA images: a two stepwise early-stage clinical validation study 2025 ·Frontiers in Neurology ·(unknown), Ying Liu, Jingxu Xu, Chencui Huang, Fandong Zhang, (unknown), Yonggang Zhang, (unknown), (unknown), (unknown)	4
5	Autoregressive Sequence Modeling for 3D Medical Image Representation 2025 ·Proceedings of the AAAI Conference on Artificial Intelligence ·(unknown), (unknown), Fei Gao, (unknown), Fandong Zhang, Yizhou Wang, Yizhou Yu	1
6	Intracranial aneurysm instability prediction model based on 4D-Flow MRI and HR-MRI 2024 ·Neurotherapeutics ·Fei Peng, (unknown), Fandong Zhang, Shiyu Lu, Hao Wang, Jiashu Li, Xinmin Liu, (unknown), (unknown), Yonghong Duan, Binbin Sui, Chuyang Ye, Yi Ju, Shuai Kang, Yizhou Yu, Xin Feng, Xingquan Zhao, Rui Li, Aihua Liu	3
7	AI-based strategies in breast mass ≤ 2 cm classification with mammography and tomosynthesis 2024 ·The Breast ·(unknown), Yuxin Cai, (unknown), (unknown), Ziling Yu, (unknown), (unknown), Fandong Zhang, Wenjuan Ma, Qian Zhou, Jingjing Chen, Hong Lu	1
8	Detection of Intracranial Aneurysms Using Multiphase CT Angiography with a Deep Learning Model 2023 ·Academic Radiology ·Jinglu Wang, Jie Sun, Jingxu Xu, Shiyu Lu, Hao Wang, Chencui Huang, Fandong Zhang, Yizhou Yu, Xiang Gao, Ming Wang, Yu Wang, (unknown), (unknown)	17
9	Graph Convolution Based Cross-Network Multiscale Feature Fusion for Deep Vessel Segmentation 2022 ·IEEE Transactions on Medical Imaging ·Gangming Zhao, Kongming Liang, Chengwei Pan, Fandong Zhang, Xianpeng Wu, Xinyang Hu, Yizhou Yu	32
10	Evaluation of the peritumoral features using radiomics and deep learning technology in non-spiculated and noncalcified masses of the breast on mammography 2022 ·Frontiers in Oncology ·Fei Guo, Qiyang Li, (unknown), Chencui Huang, Fandong Zhang, Jingxu Xu, Ye Xu, Yuanzhou Li, (unknown), (unknown)	4
11	Act Like a Radiologist: Towards Reliable Multi-View Correspondence Reasoning for Mammogram Mass Detection 2021 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Yuhang Liu, Fandong Zhang, Chaoqi Chen, (unknown), Yizhou Wang, Yizhou Yu	23
12	Compare and contrast: Detecting mammographic soft-tissue lesions with C 2 -Net 2021 ·Medical Image Analysis ·Yuhang Liu, Changsheng Zhou, Fandong Zhang, Qianyi Zhang, (unknown), Juan Zhou, Fugeng Sheng, Xiaoqi Wang, (unknown), Yizhou Wang, Yizhou Yu, Guangming Lu	8
13	Bilateral Asymmetry Guided Counterfactual Generating Network for Mammogram Classification 2020 ·arXiv (Cornell University) ·(unknown), (unknown), Fandong Zhang, Xinwei Sun, Hao Dong, Yizhou Yu, Yizhou Wang	10
14	Cross-View Correspondence Reasoning Based on Bipartite Graph Convolutional Network for Mammogram Mass Detection 2020 ·Yuhang Liu, Fandong Zhang, Qianyi Zhang, (unknown), Yizhou Wang, Yizhou Yu	39
15	Cascaded Generative and Discriminative Learning for Microcalcification Detection in Breast Mammograms 2019 ·Fandong Zhang, Ling Luo, Xinwei Sun, (unknown), Xiuli Li, Yizhou Yu, Yizhou Wang	29
16	[Performance of Deep-learning-based Artificial Intelligence on Detection of Pulmonary Nodules in Chest CT]. 2019 ·SHILAP Revista de lepidopterología ·Xinling Li, Fangfang Guo, Zhen Zhou, Fandong Zhang, Qin Wang, Zhijun Peng, (unknown), Yaguang Fan, Ying Wang	14
17	Learning discriminative and invariant representation for fingerprint retrieval 2018 ·Science China Information Sciences ·Dehua Song, Ruilin Li, Fandong Zhang, Jufu Feng	3
18	High-Resolution Mobile Fingerprint Matching via Deep Joint KNN-Triplet Embedding 2017 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Fandong Zhang, Jufu Feng	12
19	Deep Dense Multi-level feature for partial high-resolution fingerprint matching 2017 ·Fandong Zhang, (unknown), Jufu Feng	5
20	Robust sparse representation based face recognition in an adaptive weighted spatial pyramid structure 2017 ·Science China Information Sciences ·(unknown), Fandong Zhang, Yuelong Li, Jufu Feng	9

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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