Tairan Liu
- Biophysics top 0.5%
- Atomic and Molecular Physics, and Optics top 10%
- Computer Vision and Pattern Recognition top 5%
- Media Technology top 1%
- Biomedical Engineering top 10%
- Co-authors
- Aydogan ÖzcanYair RivensonKevin de HaanYibo ZhangZhensong WeiLuzhe HuangBijie BaiHongda Wang
- Topics
- Digital Holography and Microscopy (19 papers)Image Processing Techniques and Applications (11 papers)Cell Image Analysis Techniques (10 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaNature Methods
- Partner nations
- United StatesChinaJapan
In The Last Decade
Tairan Liu
32 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Biophysics 365
- Atomic and Molecular Physics, and Optics 351
- Computer Vision and Pattern Recognition 285
- Media Technology 271
- Biomedical Engineering 271
Countries citing papers authored by Tairan Liu
This map shows the geographic impact of Tairan Liu'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 Tairan Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tairan Liu more than expected).
Fields of papers citing papers by Tairan Liu
This network shows the impact of papers produced by Tairan Liu. 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 Tairan Liu. The network helps show where Tairan Liu may publish in the future.
Co-authorship network of co-authors of Tairan Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Tairan Liu. A scholar is included among the top collaborators of Tairan Liu 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 Tairan Liu. Tairan Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 4 | |
| 4 | 18 | |
| 5 | 2 | |
| 6 | 68 | |
| 7 | 45 | |
| 8 | 13 | |
| 9 | 16 | |
| 10 | 13 | |
| 11 | 7 | |
| 12 | 62 | |
| 13 | 32 | |
| 14 | 64 | |
| 15 | 8 | |
| 16 | Deep learning-based transformation of H&E stained tissues into special stainsbreakdown → | 185 |
| 17 | 20 | |
| 18 | PhaseStain: the digital staining of label-free quantitative phase microscopy images using deep learningbreakdown → | 255 |
| 19 | 24 | |
| 20 | 35 |
About Tairan Liu
Tairan Liu is a scholar working on Biophysics, Media Technology and Radiation, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Digital Holography and Microscopy (19 papers), Image Processing Techniques and Applications (11 papers) and Cell Image Analysis Techniques (10 papers). The work is most often cited by research in Biophysics (365 citations), Acoustics and Ultrasonics (29 citations) and Media Technology (271 citations). Tairan Liu has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Aydogan Özcan, Yair Rivenson, Kevin de Haan, Yibo Zhang, Zhensong Wei, Luzhe Huang, Bijie Bai, Hongda Wang, Yijie Zhang and William D. Wallace. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Nature Methods.
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.