Standout Papers

Deep Learning Techniques for Inverse Problems in Imaging 2020 2026 2022 2024264
  1. Deep Learning Techniques for Inverse Problems in Imaging (2020)
    Greg Ongie, Ajil Jalal et al. IEEE Journal on Selected Areas in Information Theory

Immediate Impact

64 standout
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Citing Papers

Knowledge-guided machine learning can improve carbon cycle quantification in agroecosystems
2024 Standout
A systematic review and meta-analysis of machine learning, deep learning, and ensemble learning approaches in predicting EV charging behavior
2024 Standout
3 intermediate papers

Works of Greg Ongie being referenced

Deep Learning Techniques for Inverse Problems in Imaging
2020 Standout
Off-the-Grid Recovery of Piecewise Constant Images from Few Fourier Samples
2016

Author Peers

Author Last Decade Papers Cites
Greg Ongie 280 212 139 225 13 583
S. Ramani 277 209 215 383 9 663
G. Demoment 133 218 94 129 23 606
Dennis M. Healy 244 156 214 153 41 620
Clarice Poon 248 143 199 351 20 648
Matthias J. Ehrhardt 158 120 153 369 40 620
Stamatios Lefkimmiatis 209 347 155 118 21 584
Riccardo Zanella 286 215 143 107 14 571
Xiaojing Ye 303 133 107 217 41 702
Chen Chen 346 147 200 260 21 547
Zachary T. Harmany 158 139 232 72 17 573

All Works

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2026