Clarice Poon

20 papers receiving 794 citations

Clarice Poon's Hit Papers

On instabilities of deep learning in image reconstruction and the potential costs of AI 2020 · 465 citations
4650+2+4Years since publication100200300400

Peers

Clarice Poon
Comparison fields: 5 of 91
  • Acoustics and Ultrasonics 21
  • Radiology, Nuclear Medicine and Imaging 376
  • Health Informatics 24
  • Computational Mechanics 315
  • Computer Vision and Pattern Recognition 172
Replace Vegard Antun with:
Vegard Antun Norway
Greg Ongie United States
Feng Huang China
Vincent Duval France
Ke Wei China
Dennis M. Healy United States
Ajil Jalal United States
Chengda Yang United States
David M. Strong United States
Frank Lenzen Germany
Clarice Poon relative to Vegard Antun Norway Vegard Antun's profile →
Citations per field
00.5×4.2×
Vegard Antun · 1×
Citations per year

Countries citing papers authored by Clarice Poon

Since Specialization
Citations

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

Fields of papers citing papers by Clarice Poon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Clarice Poon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Clarice Poon Line = papers co-authored together Clarice Poon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
On instabilities of deep learning in image reconstruction and the potential costs of AI
Hit paper breakdown →
2020465
2 2017107
3 201346
4 201537
5 201331
6 201631
7
Breaking the coherence barrier: asymptotic incoherence and asymptotic sparsity in compressed sensing
201328
8 201415
9 201513
10 202112
11 201612
12 201710
13 20168
14 20232
15 20222
16 20162
17 20221
18 20131
19 20131
20 20221

About Clarice Poon

Clarice Poon is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Applied Mathematics and Biomedical Engineering, having authored 20 papers that have together received 825 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (16 papers), Image and Signal Denoising Methods (8 papers), Medical Imaging Techniques and Applications (5 papers), Mathematical Analysis and Transform Methods (5 papers), Advanced MRI Techniques and Applications (4 papers), Numerical methods in inverse problems (3 papers), Photoacoustic and Ultrasonic Imaging (3 papers) and Medical Image Segmentation Techniques (2 papers). The work is most often cited by research in Acoustics and Ultrasonics (21 citations), Radiology, Nuclear Medicine and Imaging (376 citations), Health Informatics (24 citations), Computational Mechanics (315 citations) and Computer Vision and Pattern Recognition (172 citations). Clarice Poon has collaborated with scholars based in United Kingdom, France and Canada. Frequent co-authors include Ben Adcock, Anders C. Hansen, Vegard Antun, Francesco Renna, Bogdan Roman, Gabriel Peyré, Vincent Duval, Antonin Chambolle, Milana Gatarić and Nicolas Keriven. Their work appears in journals such as Applied and Computational Harmonic Analysis, Inverse Problems, SIAM Journal on Scientific Computing, SIAM Journal on Numerical Analysis and The Quarterly Journal of Mechanics and Applied Mathematics.

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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