Jing Yan Haw
- Artificial Intelligence top 5%
- Atomic and Molecular Physics, and Optics top 10%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Computational Theory and Mathematics
- Co-authors
- Syed M. AssadPing Koy LamGong ZhangA. Q. LiuL. C. KwekJoseph F. FitzsimonsXiaoqi ZhouW. Ser
- Topics
- Quantum Information and Cryptography (19 papers)Quantum Computing Algorithms and Architecture (13 papers)Quantum Mechanics and Applications (12 papers)
In The Last Decade
Jing Yan Haw
19 papers receiving 441 citations
Hit Papers
Peers
Comparison fields: 5 of 29
- Artificial Intelligence 382
- Atomic and Molecular Physics, and Optics 306
- Electrical and Electronic Engineering 132
- Computer Vision and Pattern Recognition 40
- Computational Theory and Mathematics 26
Countries citing papers authored by Jing Yan Haw
This map shows the geographic impact of Jing Yan Haw'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 Jing Yan Haw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Yan Haw more than expected).
Fields of papers citing papers by Jing Yan Haw
This network shows the impact of papers produced by Jing Yan Haw. 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 Jing Yan Haw. The network helps show where Jing Yan Haw may publish in the future.
Co-authorship network of co-authors of Jing Yan Haw
This figure shows the co-authorship network connecting the top 25 collaborators of Jing Yan Haw. A scholar is included among the top collaborators of Jing Yan Haw 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 Jing Yan Haw. Jing Yan Haw 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 | 0 | |
| 3 | 1 | |
| 4 | 19 | |
| 5 | 2 | |
| 6 | 9 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | An integrated silicon photonic chip platform for continuous-variable quantum key distributionbreakdown → | 240 |
| 10 | 3 | |
| 11 | 39 | |
| 12 | 1 | |
| 13 | 13 | |
| 14 | 17 | |
| 15 | 19 | |
| 16 | 42 | |
| 17 | Maximisation of Extractable Randomness in Quantum Random Number Generator | 1 |
| 18 | 34 | |
| 19 | 9 | |
| 20 | 2 |
About Jing Yan Haw
Jing Yan Haw is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computer Vision and Pattern Recognition, having authored 21 papers that have together received 472 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (19 papers), Quantum Computing Algorithms and Architecture (13 papers) and Quantum Mechanics and Applications (12 papers). The work is most often cited by research in Artificial Intelligence (382 citations), Atomic and Molecular Physics, and Optics (306 citations) and Acoustics and Ultrasonics (5 citations). Jing Yan Haw has collaborated with scholars based in Australia, Singapore and China. Frequent co-authors include Syed M. Assad, Ping Koy Lam, Gong Zhang, A. Q. Liu, L. C. Kwek, Joseph F. Fitzsimons, Xiaoqi Zhou, W. Ser, Feihu Xu and Jian Wu. Their work appears in journals such as Nature Communications, Nature Photonics and Physics Letters A.
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.