Da Teng
Impact in
- Acoustics and Ultrasonics top 2%
- Media Technology top 2%
- Image Processing Techniques and Applications
Papers in
-
- Photonic and Optical Devices 26
- Semiconductor Lasers and Optical Devices 5
-
- Plasmonic and Surface Plasmon Research 25
- Co-authors
- Yair Rivenson (4 shared papers)Aydogan Özcan (4 shared papers)Yibo Zhang (3 shared papers)Harun Günaydın (2 shared papers)Kai Wang (11 shared papers)Runlin Han (5 shared papers)Shouhai Zhang (4 shared papers)Xufeng Ma (3 shared papers)
- Journals
- Plasmonics (6 papers)Nanomaterials (5 papers)Applied Physics Letters (3 papers)Optics Express (3 papers)Applied Sciences (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Da Teng
71 papers receiving 1.6k citations
Da Teng's Hit Papers
Peers
Comparison fields: 5 of 106
- Acoustics and Ultrasonics 71
- Media Technology 248
- Atomic and Molecular Physics, and Optics 728
- Radiation 186
- Biophysics 109
Countries citing papers authored by Da Teng
This map shows the geographic impact of Da Teng'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 Da Teng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Da Teng more than expected).
Fields of papers citing papers by Da Teng
This network shows the impact of papers produced by Da Teng. 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 Da Teng. The network helps show where Da Teng may publish in the future.
Co-authors
The 25 scholars most cited alongside Da Teng, 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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Phase recovery and holographic image reconstruction using deep learning in neural networks Hit paper breakdown → | 2017 | 720 |
| 2 | 2017 | 165 | |
| 3 | 2019 | 52 | |
| 4 | 2020 | 46 | |
| 5 | 1993 | 46 | |
| 6 | 1994 | 45 | |
| 7 | 2020 | 37 | |
| 8 | 2020 | 37 | |
| 9 | 2021 | 33 | |
| 10 | 2019 | 33 | |
| 11 | 2021 | 32 | |
| 12 | 2017 | 30 | |
| 13 | 1993 | 27 | |
| 14 | 2024 | 26 | |
| 15 | 2015 | 24 | |
| 16 | 2020 | 22 | |
| 17 | 2022 | 21 | |
| 18 | 2017 | 19 | |
| 19 | 2021 | 17 | |
| 20 | 2019 | 16 |
About Da Teng
Da Teng is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Atomic and Molecular Physics, and Optics, Materials Chemistry and Artificial Intelligence, having authored 78 papers that have together received 1.7k indexed citations. Recurring topics across this work include Photonic and Optical Devices (26 papers), Plasmonic and Surface Plasmon Research (25 papers), Photonic Crystals and Applications (15 papers), Catalytic Processes in Materials Science (10 papers), Graphene research and applications (10 papers), Semiconductor Quantum Structures and Devices (7 papers), Semiconductor Lasers and Optical Devices (5 papers) and Advanced Photocatalysis Techniques (4 papers). The work is most often cited by research in Acoustics and Ultrasonics (71 citations), Media Technology (248 citations), Atomic and Molecular Physics, and Optics (728 citations), Radiation (186 citations) and Biophysics (109 citations). Da Teng has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yair Rivenson, Aydogan Özcan, Yibo Zhang, Harun Günaydın, Kai Wang, Runlin Han, Shouhai Zhang, Xufeng Ma, Weiguang Chen and Yu‐Hwa Lo. Their work appears in journals such as Plasmonics, Nanomaterials, Applied Physics Letters, Optics Express and Applied Sciences.
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.