Aydogan Özcan

37.6k citations
466 papers · 26.0k · 16 hit papers · h-index 86

Impact in

Papers in

Aydogan Özcan

442 papers receiving 24.9k citations

Aydogan Özcan's Hit Papers

Machine learning in point-of-care testing: innovations, challenges, and opportunities 2025 · 87 citations
870+3+7Years since publication50010001.5k

Peers

Aydogan Özcan
Comparison fields: 5 of 208
  • Acoustics and Ultrasonics 1.2k
  • Biophysics 4.8k
  • Media Technology 4.2k
  • Biomedical Engineering 11.7k
  • Atomic and Molecular Physics, and Optics 7.7k
Replace Michael S. Feld with:
Michael S. Feld United States
YongKeun Park South Korea
Ramachandra R. Dasari United States
Demetri Psaltis United States
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Aydogan Özcan relative to Michael S. Feld United States Michael S. Feld's profile →
Citations per field
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Citations per year

Countries citing papers authored by Aydogan Özcan

Since Specialization
Citations

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

Fields of papers citing papers by Aydogan Özcan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Aydogan Özcan, 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 Aydogan Özcan Line = papers co-authored together Aydogan Özcan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 466 papers — load more, or switch the sort, to bring in the rest.

#Work
1
All-optical machine learning using diffractive deep neural networks
Hit paper breakdown →
20181546
2
Phase recovery and holographic image reconstruction using deep learning in neural networks
Hit paper breakdown →
2017720
3
Inference in artificial intelligence with deep optics and photonics
Hit paper breakdown →
2020649
4
On the use of deep learning for computational imaging
Hit paper breakdown →
2019579
5
Deep learning enables cross-modality super-resolution in fluorescence microscopy
Hit paper breakdown →
2018558
6
Emerging Technologies for Next-Generation Point-of-Care Testing
Hit paper breakdown →
2015532
7
Deep learning microscopy
Hit paper breakdown →
2017460
8
Virtual histological staining of unlabelled tissue-autofluorescence images via deep learning
Hit paper breakdown →
2019427
9
Imaging without lenses: achievements and remaining challenges of wide-field on-chip microscopy
Hit paper breakdown →
2012406
10 2010371
11 2010367
12 2013347
13 2010336
14 2014335
15 2012332
16 2011305
17 2014305
18 2015295
19 2012293
20 2014270

About Aydogan Özcan

Aydogan Özcan is a scholar working on Biomedical Engineering, Atomic and Molecular Physics, and Optics, Biophysics, Electrical and Electronic Engineering and Media Technology, having authored 466 papers that have together received 26.0k indexed citations. Recurring topics across this work include Digital Holography and Microscopy (152 papers), Advanced Fluorescence Microscopy Techniques (93 papers), Biosensors and Analytical Detection (84 papers), Image Processing Techniques and Applications (73 papers), Cell Image Analysis Techniques (61 papers), Neural Networks and Reservoir Computing (60 papers), Photonic and Optical Devices (57 papers) and Optical Coherence Tomography Applications (51 papers). The work is most often cited by research in Acoustics and Ultrasonics (1.2k citations), Biophysics (4.8k citations), Media Technology (4.2k citations), Biomedical Engineering (11.7k citations) and Atomic and Molecular Physics, and Optics (7.7k citations). Aydogan Özcan has collaborated with scholars based in United States, Russia and Türkiye. Frequent co-authors include Yair Rivenson, Derek Tseng, Ting‐Wei Su, Ahmet F. Coskun, Yibo Zhang, Onur Mudanyali, Yi Luo, Mona Jarrahi, Alon Greenbaum and Hongying Zhu. Their work appears in journals such as Light Science & Applications, Lab on a Chip, Scientific Reports, ACS Nano and Nature Communications.

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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