Harun Günaydın
- Atomic and Molecular Physics, and Optics top 5%
- Biophysics top 0.2%
- Biomedical Engineering top 5%
- Media Technology top 0.5%
- Computer Vision and Pattern Recognition top 2%
- Co-authors
- Yair RivensonAydogan ÖzcanYibo ZhangHongda WangDa TengZhensong WeiZoltán GöröcsLaurent A. Bentolila
- Topics
- Cell Image Analysis Techniques (6 papers)Advanced Fluorescence Microscopy Techniques (6 papers)Digital Holography and Microscopy (4 papers)
- Partner nations
- United StatesRussia
In The Last Decade
Harun Günaydın
10 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Atomic and Molecular Physics, and Optics 795
- Biophysics 762
- Biomedical Engineering 624
- Media Technology 603
- Computer Vision and Pattern Recognition 586
Countries citing papers authored by Harun Günaydın
This map shows the geographic impact of Harun Günaydın'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 Harun Günaydın with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Harun Günaydın more than expected).
Fields of papers citing papers by Harun Günaydın
This network shows the impact of papers produced by Harun Günaydın. 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 Harun Günaydın. The network helps show where Harun Günaydın may publish in the future.
Co-authorship network of co-authors of Harun Günaydın
This figure shows the co-authorship network connecting the top 25 collaborators of Harun Günaydın. A scholar is included among the top collaborators of Harun Günaydın based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Harun Günaydın. Harun Günaydın is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Virtual histological staining of unlabelled tissue-autofluorescence images via deep learningbreakdown → | 406 |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | Deep learning enables cross-modality super-resolution in fluorescence microscopybreakdown → | 539 |
| 8 | 2 | |
| 9 | 5 | |
| 10 | Deep learning microscopybreakdown → | 448 |
| 11 | Phase recovery and holographic image reconstruction using deep learning in neural networksbreakdown → | 703 |
About Harun Günaydın
Harun Günaydın is a scholar working on Biophysics, Structural Biology and Media Technology, having authored 11 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (6 papers), Advanced Fluorescence Microscopy Techniques (6 papers) and Digital Holography and Microscopy (4 papers). The work is most often cited by research in Acoustics and Ultrasonics (149 citations), Biophysics (762 citations) and Media Technology (603 citations). Harun Günaydın has collaborated with scholars based in United States and Russia. Frequent co-authors include Yair Rivenson, Aydogan Özcan, Yibo Zhang, Hongda Wang, Da Teng, Zhensong Wei, Zoltán Göröcs, Laurent A. Bentolila, Yiyin Jin and Cömert Kural. Their work appears in journals such as Nature Methods, Light Science & Applications and Nature Biomedical Engineering.
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.