Joseph Y. Cheng
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- Advanced MRI Techniques and Applications 36
- Medical Imaging Techniques and Applications 14
- Cardiac Imaging and Diagnostics 11
- MRI in cancer diagnosis 4
- Advanced Neuroimaging Techniques and Applications 4
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- Atomic and Subatomic Physics Research 17
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- Cardiac Valve Diseases and Treatments 4
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- Sparse and Compressive Sensing Techniques 4
- Co-authors
- Shreyas VasanawalaJohn M. PaulyMarcus T. AlleyMichael LustigMorteza MardaniEnhao GongLei XingTao Zhang
- Cited by
- Radiology, Nuclear Medicine and ImagingIndustrial and Manufacturing EngineeringComputer Vision and Pattern Recognition
- Partner nations
- United StatesCanadaChina
In The Last Decade
Joseph Y. Cheng
53 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Radiology, Nuclear Medicine and Imaging 1.3k
- Industrial and Manufacturing Engineering 169
- Computer Vision and Pattern Recognition 302
- Atomic and Molecular Physics, and Optics 363
- Cardiology and Cardiovascular Medicine 248
Countries citing papers authored by Joseph Y. Cheng
This map shows the geographic impact of Joseph Y. Cheng'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 Joseph Y. Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph Y. Cheng more than expected).
Fields of papers citing papers by Joseph Y. Cheng
This network shows the impact of papers produced by Joseph Y. Cheng. 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 Joseph Y. Cheng. The network helps show where Joseph Y. Cheng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Joseph Y. Cheng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2023 | 1 | |
| 3 | 2020 | 101 | |
| 4 | Complex-Valued Convolutional Neural Networks for MRI Reconstruction. | 2020 | 6 |
| 5 | 2020 | 14 | |
| 6 | 2020 | 18 | |
| 7 | 2020 | 26 | |
| 8 | 2020 | 10 | |
| 9 | 2019 | 21 | |
| 10 | VAE-GANs for Probabilistic Compressive Image Recovery: Uncertainty Analysis. | 2019 | 1 |
| 11 | Accelerating cardiac cine MRI beyond compressed sensing using DL-ESPIRiT. | 2019 | 1 |
| 12 | 2019 | 16 | |
| 13 | Deep Generative Adversarial Neural Networks for Compressive Sensing MRIbreakdown → | 2018 | 355 |
| 14 | 2018 | 96 | |
| 15 | 2018 | 3 | |
| 16 | 2017 | 14 | |
| 17 | 2017 | 37 | |
| 18 | 2015 | 12 | |
| 19 | 2012 | 75 | |
| 20 | 2011 | 13 |
About Joseph Y. Cheng
Joseph Y. Cheng is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics and Atomic and Molecular Physics, and Optics, having authored 55 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (36 papers), Atomic and Subatomic Physics Research (17 papers), Medical Imaging Techniques and Applications (14 papers), Cardiac Imaging and Diagnostics (11 papers), Sparse and Compressive Sensing Techniques (4 papers), Cardiac Valve Diseases and Treatments (4 papers), MRI in cancer diagnosis (4 papers) and Advanced Neuroimaging Techniques and Applications (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.3k citations), Industrial and Manufacturing Engineering (169 citations) and Computer Vision and Pattern Recognition (302 citations). Joseph Y. Cheng has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Shreyas Vasanawala, John M. Pauly, Marcus T. Alley, Michael Lustig, Morteza Mardani, Enhao Gong, Lei Xing, Tao Zhang, Greg Zaharchuk and Martin Uecker. Their work appears in journals such as Journal of Clinical Oncology, Scientific Reports and Radiology.
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.