Leslie Ying

6.0k total citations · 1 hit paper
157 papers, 4.1k citations indexed

About

Leslie Ying is a scholar working on Radiology, Nuclear Medicine and Imaging, Computational Mechanics and Biomedical Engineering. According to data from OpenAlex, Leslie Ying has authored 157 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 127 papers in Radiology, Nuclear Medicine and Imaging, 57 papers in Computational Mechanics and 44 papers in Biomedical Engineering. Recurrent topics in Leslie Ying's work include Advanced MRI Techniques and Applications (112 papers), Medical Imaging Techniques and Applications (63 papers) and Sparse and Compressive Sensing Techniques (57 papers). Leslie Ying is often cited by papers focused on Advanced MRI Techniques and Applications (112 papers), Medical Imaging Techniques and Applications (63 papers) and Sparse and Compressive Sensing Techniques (57 papers). Leslie Ying collaborates with scholars based in United States, China and Hong Kong. Leslie Ying's co-authors include Dong Liang, Shanshan Wang, Ziwen Ke, Jinhua Sheng, Xi Peng, Bo Liu, Jiun‐Jie Wang, Ezzatollah Salari, Jing Cheng and Feng Liang and has published in prestigious journals such as Nature Communications, NeuroImage and Analytical Chemistry.

In The Last Decade

Leslie Ying

152 papers receiving 4.0k citations

Hit Papers

Accelerating magnetic resonance imaging via deep learning 2016 2026 2019 2022 2016 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Accelerating magnetic resonance imaging via deep learning
    2016 531 citations Shanshan Wang, Leslie Ying et al. PubMed profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leslie Ying United States 33 3.1k 1.2k 1.1k 555 438 157 4.1k
Mathews Jacob United States 29 2.2k 0.7× 1.1k 0.9× 780 0.7× 990 1.8× 359 0.8× 167 4.7k
Juan M. Santos United States 25 1.9k 0.6× 1.2k 0.9× 1.1k 1.1× 326 0.6× 394 0.9× 49 3.5k
Dong Liang China 40 3.6k 1.2× 1.1k 0.9× 1.9k 1.8× 1.2k 2.2× 418 1.0× 337 6.2k
Kristian Bredies Austria 29 1.4k 0.4× 1.3k 1.1× 565 0.5× 1.4k 2.4× 217 0.5× 80 3.5k
Kyong Hwan Jin South Korea 14 1.0k 0.3× 365 0.3× 997 0.9× 747 1.3× 362 0.8× 46 2.6k
Xiaobo Qu China 33 1.8k 0.6× 1.3k 1.0× 947 0.9× 1.1k 2.1× 161 0.4× 140 3.7k
Zhi‐Pei Liang United States 41 4.8k 1.6× 1.2k 1.0× 715 0.7× 771 1.4× 856 2.0× 217 6.3k
Di Guo China 28 1.5k 0.5× 1.1k 0.9× 754 0.7× 677 1.2× 132 0.3× 83 2.7k
K. Sauer United States 24 2.7k 0.9× 372 0.3× 2.1k 1.9× 850 1.5× 213 0.5× 87 4.0k
Ricardo Otazo United States 33 4.3k 1.4× 701 0.6× 586 0.5× 291 0.5× 1.1k 2.4× 107 5.0k

Countries citing papers authored by Leslie Ying

Since Specialization
Citations

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

Fields of papers citing papers by Leslie Ying

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leslie Ying

This figure shows the co-authorship network connecting the top 25 collaborators of Leslie Ying. A scholar is included among the top collaborators of Leslie Ying 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 Leslie Ying. Leslie Ying 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.
2.
Ying, Leslie, et al.. (2024). Quadrature Transceiver RF Arrays Using Double Cross Magnetic Wall Decoupling for Ultrahigh field MR Imaging. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition. 31. 1 indexed citations
3.
Ying, Leslie, et al.. (2024). A coupled planar RF array for ultrahigh field MR imaging. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition. 31. 1 indexed citations
4.
Cui, Zhuo‐Xu, Sen Jia, Jing Cheng, et al.. (2023). Equilibrated Zeroth-Order Unrolled Deep Network for Parallel MR Imaging. IEEE Transactions on Medical Imaging. 42(12). 3540–3554. 6 indexed citations
5.
Guan, Yue, Yudu Li, Ruihao Liu, et al.. (2023). Subspace Model-Assisted Deep Learning for Improved Image Reconstruction. IEEE Transactions on Medical Imaging. 42(12). 3833–3846. 3 indexed citations
6.
Zhu, Yanjie, Yuanyuan Liu, Leslie Ying, et al.. (2021). A 4‐minute solution for submillimeter whole‐brain T1ρ quantification. Magnetic Resonance in Medicine. 85(6). 3299–3307. 4 indexed citations
7.
Ke, Ziwen, Wenqi Huang, Zhuo‐Xu Cui, et al.. (2021). Learned Low-Rank Priors in Dynamic MR Imaging. IEEE Transactions on Medical Imaging. 40(12). 3698–3710. 56 indexed citations
8.
Cheng, Jing, Zhuo‐Xu Cui, Wenqi Huang, et al.. (2021). Learning Data Consistency and its Application to Dynamic MR Imaging. IEEE Transactions on Medical Imaging. 40(11). 3140–3153. 28 indexed citations
9.
Ke, Ziwen, Zhuo‐Xu Cui, Wenqi Huang, et al.. (2021). Deep Manifold Learning for Dynamic MR Imaging. IEEE Transactions on Computational Imaging. 7. 1314–1327. 17 indexed citations
10.
Zhang, Huijuan, Hongyu Li, Nikhila Nyayapathi, et al.. (2020). A New Deep Learning Network for Mitigating Limited-view and Under-sampling Artifacts in Ring-shaped Photoacoustic Tomography. Computerized Medical Imaging and Graphics. 84. 101720–101720. 41 indexed citations
11.
Li, Hongyu, Chaoyi Zhang, Ruiying Liu, et al.. (2020). Deep Learning for Highly Accelerated Diffusion Tensor Imaging.. arXiv (Cornell University). 1 indexed citations
12.
Zhu, Yanjie, et al.. (2019). Bio‐SCOPE: fast biexponential T1ρ mapping of the brain using signal‐compensated low‐rank plus sparse matrix decomposition. Magnetic Resonance in Medicine. 83(6). 2092–2106. 13 indexed citations
13.
Cheng, Jing, Haifeng Wang, Yanjie Zhu, et al.. (2019). Model-based Deep MR Imaging: the roadmap of generalizing compressed sensing model using deep learning.. arXiv (Cornell University). 2 indexed citations
14.
Yang, Bao, Leslie Ying, & Jing Tang. (2018). Artificial Neural Network Enhanced Bayesian PET Image Reconstruction. IEEE Transactions on Medical Imaging. 37(6). 1297–1309. 39 indexed citations
15.
Wang, Shanshan, Leslie Ying, Xi Peng, et al.. (2016). Accelerating magnetic resonance imaging via deep learning. PubMed. 2016. 514–517. 531 indexed citations breakdown →
16.
Chen, Rong‐Rong, et al.. (2015). Image reconstruction from phased-array data based on multichannel blind deconvolution. Magnetic Resonance Imaging. 33(9). 1106–1113. 7 indexed citations
17.
Tang, Jing, et al.. (2014). Sparsity-based PET image reconstruction using MRI learned dictionaries. 1087–1090. 9 indexed citations
18.
Yu, Jen‐Fang, et al.. (2010). Activation of the Auditory Cortex in Subjects with Unilateral Sensorineural Hearing Impairment in Response to Hearing Their Own Names. Journal of Medical and Biological Engineering. 30(4). 215–219. 3 indexed citations
19.
Wang, Haifeng, et al.. (2010). Cross-sampled GRAPPA for parallel MRI. PubMed. 2010. 3325–3328. 5 indexed citations
20.
Yuan, Lei, et al.. (2006). Truncation effects in SENSE reconstruction. Magnetic Resonance Imaging. 24(10). 1311–1318. 7 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Mathews Jacob Breakdown of academic impact, for papers by Juan M. Santos Breakdown of academic impact, for papers by Dong Liang Breakdown of academic impact, for papers by Kristian Bredies Breakdown of academic impact, for papers by Kyong Hwan Jin Breakdown of academic impact, for papers by Xiaobo Qu Breakdown of academic impact, for papers by Zhi‐Pei Liang Breakdown of academic impact, for papers by Di Guo Breakdown of academic impact, for papers by K. Sauer Breakdown of academic impact, for papers by Ricardo Otazo
Rankless by CCL
2026