Ziwen Ke

1.2k total citations
15 papers, 742 citations indexed

About

Ziwen Ke is a scholar working on Radiology, Nuclear Medicine and Imaging, Computational Mechanics and Biomedical Engineering. According to data from OpenAlex, Ziwen Ke has authored 15 papers receiving a total of 742 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Computational Mechanics and 5 papers in Biomedical Engineering. Recurrent topics in Ziwen Ke's work include Advanced MRI Techniques and Applications (12 papers), Medical Imaging Techniques and Applications (10 papers) and Sparse and Compressive Sensing Techniques (5 papers). Ziwen Ke is often cited by papers focused on Advanced MRI Techniques and Applications (12 papers), Medical Imaging Techniques and Applications (10 papers) and Sparse and Compressive Sensing Techniques (5 papers). Ziwen Ke collaborates with scholars based in China, United States and Hong Kong. Ziwen Ke's co-authors include Dong Liang, Leslie Ying, Jing Cheng, Hairong Zheng, Shanshan Wang, Sen Jia, Taohui Xiao, Yanjie Zhu, Zhuo‐Xu Cui and Wenqi Huang and has published in prestigious journals such as Magnetic Resonance in Medicine, IEEE Transactions on Biomedical Engineering and IEEE Transactions on Medical Imaging.

In The Last Decade

Ziwen Ke

14 papers receiving 729 citations

Peers

Countries citing papers authored by Ziwen Ke

Since Specialization

Citations

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

Fields of papers citing papers by Ziwen Ke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ziwen Ke

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

All Works

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15 of 15 papers shown

#	Work	Indexed citations
1	Zero‐Shot Dynamic MRI Reconstruction With Global‐to‐Local Diffusion Model 2025 ·NMR in Biomedicine ·Yu Guan, Xinliang Zhang, Qi Qi, Dong Wang, Ziwen Ke, Shaoyu Wang, Dong Liang, Qiegen Liu	0
2	Learning-Assisted Fast Determination of Regularization Parameter in Constrained Image Reconstruction 2024 ·IEEE Transactions on Biomedical Engineering ·Yue Guan, Yudu Li, Ziwen Ke, Xi Peng, Ruihao Liu, Yao Li, Yiping P. Du, Zhi‐Pei Liang	1
3	Universal generative modeling in dual domains for dynamic MRI 2023 ·NMR in Biomedicine ·Chuanming Yu, Yu Guan, Ziwen Ke, Lei Ke, Dong Liang, Qiegen Liu	7
4	Equilibrated Zeroth-Order Unrolled Deep Network for Parallel MR Imaging 2023 ·IEEE Transactions on Medical Imaging ·Zhuo‐Xu Cui, Sen Jia, Jing Cheng, Qingyong Zhu, Yuanyuan Liu, Kankan Zhao, Ziwen Ke, Wenqi Huang, Haifeng Wang, Yanjie Zhu, Leslie Ying, Dong Liang	6
5	B₁ mapping using pre‐learned subspaces for quantitative brain imaging 2023 ·Magnetic Resonance in Medicine ·(unknown), (unknown), Jin Wen, Yudu Li, Rong Guo, Ziwen Ke, Jie Luo, Yao Li, Zhi‐Pei Liang	2
6	Learned Low-Rank Priors in Dynamic MR Imaging 2021 ·IEEE Transactions on Medical Imaging ·Ziwen Ke, Wenqi Huang, Zhuo‐Xu Cui, Jing Cheng, Sen Jia, Haifeng Wang, Xin Liu, Hairong Zheng, Leslie Ying, Yanjie Zhu, Dong Liang	56
7	Learning Data Consistency and its Application to Dynamic MR Imaging 2021 ·IEEE Transactions on Medical Imaging ·Jing Cheng, Zhuo‐Xu Cui, Wenqi Huang, Ziwen Ke, Leslie Ying, Haifeng Wang, Yanjie Zhu, Dong Liang	28
8	Deep Manifold Learning for Dynamic MR Imaging 2021 ·IEEE Transactions on Computational Imaging ·Ziwen Ke, Zhuo‐Xu Cui, Wenqi Huang, Jing Cheng, Sen Jia, Leslie Ying, Yanjie Zhu, Dong Liang	17
9	Deep low-Rank plus sparse network for dynamic MR imaging 2021 ·Medical Image Analysis ·Wenqi Huang, Ziwen Ke, Zhuo‐Xu Cui, Jing Cheng, (unknown), Sen Jia, Leslie Ying, Yanjie Zhu, Dong Liang	52
10	DeepcomplexMRI: Exploiting deep residual network for fast parallel MR imaging with complex convolution 2020 ·Magnetic Resonance Imaging ·Shanshan Wang, (unknown), Leslie Ying, Taohui Xiao, Ziwen Ke, Hairong Zheng, Dong Liang	158
11	Deep Magnetic Resonance Image Reconstruction: Inverse Problems Meet Neural Networks 2020 ·IEEE Signal Processing Magazine ·Dong Liang, Jing Cheng, Ziwen Ke, Leslie Ying	230
12	Deep Learning Enables Superior Photoacoustic Imaging at Ultralow Laser Dosages 2020 ·Advanced Science ·Huangxuan Zhao, Ziwen Ke, Fan Yang, Ke Li, Ningbo Chen, Liang Song, Chuansheng Zheng, Dong Liang, Chengbo Liu	53
13	Cascaded Residual Dense Networks for Dynamic MR Imaging with Edge-Enhanced Loss Constraint 2020 ·Investigative Magnetic Resonance Imaging ·Ziwen Ke, Yanjie Zhu, Dong Liang	7
14	DIMENSION: Dynamic MR imaging with both k‐space and spatial prior knowledge obtained via multi‐supervised network training 2019 ·NMR in Biomedicine ·Shanshan Wang, Ziwen Ke, (unknown), Sen Jia, Leslie Ying, Hairong Zheng, Dong Liang	90
15	A new deep learning method for image deblurring in optical microscopic systems 2019 ·Journal of Biophotonics ·Huangxuan Zhao, Ziwen Ke, Ningbo Chen, (unknown), Ke Li, Lidai Wang, Xiaojing Gong, Wei Zheng, Liang Song, Zhicheng Liu, Dong Liang, Chengbo Liu	35

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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