Greg Ongie
- Computational Mechanics top 5%
- Sparse and Compressive Sensing Techniques 18
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- Image and Signal Denoising Methods 11
- Advanced Image Processing Techniques 3
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- Medical Imaging Techniques and Applications 7
- Advanced MRI Techniques and Applications 5
- Radiation Dose and Imaging 3
- Media Technology top 5%
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- Photoacoustic and Ultrasonic Imaging 5
- Advanced X-ray and CT Imaging 5
- Co-authors
- Mathews JacobRebecca WillettChristopher A. MetzlerRichard G. BaraniukAlexandros G. DimakisAjil JalalYue HuSathish Ramani
- Journals
- IEEE Transactions on Computational Imaging (2 papers)IEEE Transactions on Medical Imaging (1 paper)SIAM Journal on Imaging Sciences (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Greg Ongie
23 papers receiving 684 citations
Hit Papers
Peers
Comparison fields: 5 of 71
- Computational Mechanics 348
- Computer Vision and Pattern Recognition 275
- Acoustics and Ultrasonics 11
- Radiology, Nuclear Medicine and Imaging 258
- Media Technology 63
Countries citing papers authored by Greg Ongie
This map shows the geographic impact of Greg Ongie'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 Greg Ongie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Greg Ongie more than expected).
Fields of papers citing papers by Greg Ongie
This network shows the impact of papers produced by Greg Ongie. 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 Greg Ongie. The network helps show where Greg Ongie may publish in the future.
Co-authorship network
The 17 scholars most cited alongside Greg Ongie, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 4 | |
| 5 | 2021 | 1 | |
| 6 | 2021 | 2 | |
| 7 | Deep Learning Techniques for Inverse Problems in Imagingbreakdown → | 2020 | 317 |
| 8 | 2020 | 1 | |
| 9 | Learning to Solve Linear Inverse Problems in Imaging with Neumann Networks | 2019 | 1 |
| 10 | 2019 | 5 | |
| 11 | 2017 | 22 | |
| 12 | 2017 | 2 | |
| 13 | 2016 | 77 | |
| 14 | 2016 | 15 | |
| 15 | 2016 | 6 | |
| 16 | 2015 | 17 | |
| 17 | 2015 | 21 | |
| 18 | 2015 | 14 | |
| 19 | 2015 | 7 | |
| 20 | 2014 | 40 |
About Greg Ongie
Greg Ongie is a scholar working on Computational Mathematics, Computational Mechanics, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering, having authored 25 papers that have together received 714 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (18 papers), Image and Signal Denoising Methods (11 papers), Medical Imaging Techniques and Applications (7 papers), Advanced MRI Techniques and Applications (5 papers), Photoacoustic and Ultrasonic Imaging (5 papers), Advanced X-ray and CT Imaging (5 papers), Advanced Image Processing Techniques (3 papers) and Radiation Dose and Imaging (3 papers). The work is most often cited by research in Computational Mechanics (348 citations), Computer Vision and Pattern Recognition (275 citations), Acoustics and Ultrasonics (11 citations), Radiology, Nuclear Medicine and Imaging (258 citations) and Media Technology (63 citations). Greg Ongie has collaborated with scholars based in United States and China. Frequent co-authors include Mathews Jacob, Rebecca Willett, Christopher A. Metzler, Richard G. Baraniuk, Alexandros G. Dimakis, Ajil Jalal, Yue Hu, Sathish Ramani, Laura Balzano and Robert D. Nowak. Their work appears in journals such as IEEE Transactions on Computational Imaging, IEEE Transactions on Medical Imaging, SIAM Journal on Imaging Sciences, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.
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.