Dian Wu
- Atomic and Molecular Physics, and Optics top 2%
- Artificial Intelligence top 1%
- Electrical and Electronic Engineering top 10%
- Biomedical Engineering
- Electronic, Optical and Magnetic Materials
- Topics
- Quantum Information and Cryptography (21 papers)Quantum Mechanics and Applications (13 papers)Quantum Computing Algorithms and Architecture (12 papers)
- Partner nations
- ChinaGermanyUnited Kingdom
In The Last Decade
Dian Wu
30 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Atomic and Molecular Physics, and Optics 1.5k
- Artificial Intelligence 1.4k
- Electrical and Electronic Engineering 463
- Biomedical Engineering 199
- Electronic, Optical and Magnetic Materials 122
Countries citing papers authored by Dian Wu
This map shows the geographic impact of Dian Wu'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 Dian Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dian Wu more than expected).
Fields of papers citing papers by Dian Wu
This network shows the impact of papers produced by Dian Wu. 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 Dian Wu. The network helps show where Dian Wu may publish in the future.
Co-authorship network of co-authors of Dian Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Dian Wu. A scholar is included among the top collaborators of Dian Wu 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 Dian Wu. Dian Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 16 | |
| 4 | 9 | |
| 5 | 8 | |
| 6 | 24 | |
| 7 | 29 | |
| 8 | 21 | |
| 9 | 11 | |
| 10 | 10 | |
| 11 | 43 | |
| 12 | 31 | |
| 13 | Emergence of Classical Objectivity on a Quantum Darwinism Simulator | 3 |
| 14 | 8 | |
| 15 | Experimental Ten-Photon Entanglementbreakdown → | 384 |
| 16 | 13 | |
| 17 | 140 | |
| 18 | Quantum teleportation of multiple degrees of freedom of a single photonbreakdown → | 567 |
| 19 | On-demand semiconductor single-photon source with near-unity indistinguishabilitybreakdown → | 385 |
| 20 | 6 |
About Dian Wu
Dian Wu is a scholar working on Acoustics and Ultrasonics, Atomic and Molecular Physics, and Optics and Artificial Intelligence, having authored 30 papers that have together received 2.0k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (21 papers), Quantum Mechanics and Applications (13 papers) and Quantum Computing Algorithms and Architecture (12 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (1.5k citations), Artificial Intelligence (1.4k citations) and Acoustics and Ultrasonics (30 citations). Dian Wu has collaborated with scholars based in China, Germany and United Kingdom. Frequent co-authors include Jian-Wei Pan, Chao‐Yang Lu, Xi‐Lin Wang, Zu-En Su, Li Li, Ming-Cheng Chen, Nai-Le Liu, Xin-Dong Cai, Sven Höfling and Christian Schneider. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Physical Review Letters.
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.