Aydogan Özcan
- Acoustics and Ultrasonics top 0.05%
- Biophysics top 0.01%
- Advanced Fluorescence Microscopy Techniques 93
- Cell Image Analysis Techniques 61
- Media Technology top 0.02%
- Image Processing Techniques and Applications 74
- Biomedical Engineering top 0.05%
- Biosensors and Analytical Detection 84
- Optical Coherence Tomography Applications 51
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- Digital Holography and Microscopy 152
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- Neural Networks and Reservoir Computing 60
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- Photonic and Optical Devices 57
- Co-authors
- Yair RivensonDerek TsengTing‐Wei SuAhmet F. CoskunYibo ZhangOnur MudanyaliYi LuoAlon Greenbaum
- Journals
- Light Science & Applications (34 papers)Lab on a Chip (34 papers)Scientific Reports (25 papers)
- Partner nations
- United StatesRussiaTürkiye
In The Last Decade
Aydogan Özcan
437 papers receiving 24.2k citations
Hit Papers
Peers
Comparison fields: 5 of 208
- Acoustics and Ultrasonics 1.2k
- Biophysics 4.9k
- Media Technology 4.2k
- Biomedical Engineering 11.8k
- Atomic and Molecular Physics, and Optics 7.7k
Countries citing papers authored by Aydogan Özcan
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 11 | |
| 3 | 2024 | 11 | |
| 4 | 2024 | 9 | |
| 5 | 2024 | 13 | |
| 6 | 2024 | 7 | |
| 7 | 2024 | 8 | |
| 8 | 2023 | 58 | |
| 9 | 2023 | 19 | |
| 10 | 2022 | 35 | |
| 11 | 2022 | 36 | |
| 12 | Computational imaging without a computer: seeing through random diffusers at the speed of lightbreakdown → | 2022 | 125 |
| 13 | 2021 | 32 | |
| 14 | 2021 | 108 | |
| 15 | 2021 | 25 | |
| 16 | 2019 | 15 | |
| 17 | 2019 | 20 | |
| 18 | Deep learning enables cross-modality super-resolution in fluorescence microscopybreakdown → | 2018 | 539 |
| 19 | 2018 | 64 | |
| 20 | 2017 | 15 |
About Aydogan Özcan
Aydogan Özcan is a scholar working on Acoustics and Ultrasonics, Biophysics and Media Technology, having authored 463 papers that have together received 25.2k 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 (74 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 (4.9k citations) and Media Technology (4.2k 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, Alon Greenbaum, Mona Jarrahi and Yichen Wu. 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.