Hanlong Chen
Impact in
- Acoustics and Ultrasonics top 10%
- Media Technology top 5%
- Advanced Optical Imaging Technologies
- Image Processing Techniques and Applications
Papers in
-
- Digital Holography and Microscopy 5
-
- Advanced Optical Imaging Technologies 3
- Co-authors
- Aydogan Özcan (8 shared papers)Luzhe Huang (5 shared papers)Tairan Liu (4 shared papers)Xiongye Xiao (1 shared paper)Paul Bogdan (1 shared paper)Jingxi Li (2 shared papers)Mona Jarrahi (2 shared papers)Kaan Akşit (1 shared paper)
- Journals
- Light Science & Applications (2 papers)Scientific Reports (1 paper)Nature (1 paper)Nature Machine Intelligence (1 paper)IEEE Journal of Selected Topics in Quantum Electronics (1 paper)
- Partner nations
- United StatesSwitzerlandChina
In The Last Decade
Hanlong Chen
8 papers receiving 208 citations
Peers
Comparison fields: 5 of 60
- Acoustics and Ultrasonics 14
- Media Technology 70
- Radiation 29
- Biophysics 19
- Atomic and Molecular Physics, and Optics 93
Countries citing papers authored by Hanlong Chen
This map shows the geographic impact of Hanlong Chen'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 Hanlong Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanlong Chen more than expected).
Fields of papers citing papers by Hanlong Chen
This network shows the impact of papers produced by Hanlong Chen. 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 Hanlong Chen. The network helps show where Hanlong Chen may publish in the future.
Co-authors
The 21 scholars most cited alongside Hanlong Chen, 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 | 2022 | 65 | |
| 2 | 2023 | 50 | |
| 3 | 2021 | 42 | |
| 4 | 2024 | 31 | |
| 5 | 2024 | 16 | |
| 6 | 2023 | 14 | |
| 7 | 2025 | 6 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 0 |
About Hanlong Chen
Hanlong Chen is a scholar working on Atomic and Molecular Physics, and Optics, Media Technology, Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering, having authored 9 papers that have together received 226 indexed citations. Recurring topics across this work include Digital Holography and Microscopy (5 papers), Advanced Optical Imaging Technologies (3 papers), Optical Coherence Tomography Applications (2 papers), Optical measurement and interference techniques (2 papers), Neural Networks and Reservoir Computing (2 papers), Optical Network Technologies (1 paper), Adversarial Robustness in Machine Learning (1 paper) and Advanced Vision and Imaging (1 paper). The work is most often cited by research in Acoustics and Ultrasonics (14 citations), Media Technology (70 citations), Radiation (29 citations), Biophysics (19 citations) and Atomic and Molecular Physics, and Optics (93 citations). Hanlong Chen has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Aydogan Özcan, Luzhe Huang, Tairan Liu, Xiongye Xiao, Paul Bogdan, Jingxi Li, Mona Jarrahi, Kaan Akşit, Tianyi Gan and Deniz Mengü. Their work appears in journals such as Light Science & Applications, Scientific Reports, Nature, Nature Machine Intelligence and IEEE Journal of Selected Topics in Quantum Electronics.
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.