Jonathan Dong
Impact in
- Acoustics and Ultrasonics top 2%
- Random lasers and scattering media
- Artificial Intelligence top 10%
- Neural Networks and Reservoir Computing
Papers in
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- Digital Holography and Microscopy 6
-
- Neural Networks and Reservoir Computing 7
- Co-authors
- Sylvain Gigan (9 shared papers)Florent Krząkała (4 shared papers)Mushegh Rafayelyan (4 shared papers)Yongqi Tan (2 shared papers)Antoine Boniface (2 shared papers)Michaël Unser (10 shared papers)Lorenzo Valzania (3 shared papers)Thanh-an Pham (2 shared papers)
- Journals
- Optics Express (2 papers)Optics Letters (2 papers)Neurocomputing (1 paper)Journal of Virology (1 paper)Physical Review X (1 paper)
- Partner nations
- SwitzerlandFranceUnited States
In The Last Decade
Jonathan Dong
21 papers receiving 392 citations
Peers
Comparison fields: 5 of 70
- Acoustics and Ultrasonics 104
- Artificial Intelligence 218
- Structural Biology 9
- Instrumentation 18
- Radiation 32
Countries citing papers authored by Jonathan Dong
This map shows the geographic impact of Jonathan Dong'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 Jonathan Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Dong more than expected).
Fields of papers citing papers by Jonathan Dong
This network shows the impact of papers produced by Jonathan Dong. 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 Jonathan Dong. The network helps show where Jonathan Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Dong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 135 | |
| 2 | 2019 | 83 | |
| 3 | 2019 | 56 | |
| 4 | 2023 | 46 | |
| 5 | 2021 | 22 | |
| 6 | 2022 | 14 | |
| 7 | 2021 | 12 | |
| 8 | 2024 | 11 | |
| 9 | Individual Differences and Tourist Wayfinding Behaviours | 2009 | 9 |
| 10 | 2018 | 8 | |
| 11 | 2019 | 6 | |
| 12 | 2022 | 5 | |
| 13 | 2024 | 4 | |
| 14 | 2022 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2022 | 2 | |
| 17 | 2019 | 2 | |
| 18 | Sensitivity analysis for the spring-in of composite shells | 2011 | 1 |
| 19 | 2024 | 1 | |
| 20 | 2025 | 1 |
About Jonathan Dong
Jonathan Dong is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Electrical and Electronic Engineering, Biomedical Engineering and Radiation, having authored 29 papers that have together received 423 indexed citations. Recurring topics across this work include Neural Networks and Reservoir Computing (7 papers), Digital Holography and Microscopy (6 papers), Random lasers and scattering media (6 papers), Advanced X-ray Imaging Techniques (5 papers), Advanced Memory and Neural Computing (3 papers), Optical measurement and interference techniques (2 papers), Advanced Fiber Optic Sensors (2 papers) and Photoacoustic and Ultrasonic Imaging (2 papers). The work is most often cited by research in Acoustics and Ultrasonics (104 citations), Artificial Intelligence (218 citations), Structural Biology (9 citations), Instrumentation (18 citations) and Radiation (32 citations). Jonathan Dong has collaborated with scholars based in Switzerland, France and United States. Frequent co-authors include Sylvain Gigan, Florent Krząkała, Mushegh Rafayelyan, Yongqi Tan, Antoine Boniface, Michaël Unser, Lorenzo Valzania, Thanh-an Pham, Thomas Juffmann and Dorian Bouchet. Their work appears in journals such as Optics Express, Optics Letters, Neurocomputing, Journal of Virology and Physical Review X.
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.