Jing Yan Haw

700 total citations · 1 hit paper
21 papers, 472 citations indexed

About

Jing Yan Haw is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jing Yan Haw has authored 21 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 15 papers in Atomic and Molecular Physics, and Optics and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jing Yan Haw's work include Quantum Information and Cryptography (19 papers), Quantum Computing Algorithms and Architecture (13 papers) and Quantum Mechanics and Applications (12 papers). Jing Yan Haw is often cited by papers focused on Quantum Information and Cryptography (19 papers), Quantum Computing Algorithms and Architecture (13 papers) and Quantum Mechanics and Applications (12 papers). Jing Yan Haw collaborates with scholars based in Australia, Singapore and China. Jing Yan Haw's co-authors include Syed M. Assad, Ping Koy Lam, Gong Zhang, A. Q. Liu, Joseph F. Fitzsimons, W. Ser, Xiaoqi Zhou, L. C. Kwek, Feihu Xu and Song Yu and has published in prestigious journals such as Nature Communications, Nature Photonics and Physics Letters A.

In The Last Decade

Jing Yan Haw

19 papers receiving 441 citations

Hit Papers

An integrated silicon photonic chip platform for continuo... 2019 2026 2021 2023 2019 50 100 150 200

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jing Yan Haw Australia 10 382 306 132 40 26 21 472
Philip Sibson United Kingdom 7 392 1.0× 296 1.0× 245 1.9× 41 1.0× 20 0.8× 19 497
Akram Youssry Australia 8 181 0.5× 161 0.5× 88 0.7× 18 0.5× 21 0.8× 16 291
Jake Kennard United Kingdom 7 318 0.8× 249 0.8× 202 1.5× 39 1.0× 14 0.5× 12 424
B. Fröhlich United Kingdom 10 779 2.0× 692 2.3× 255 1.9× 36 0.9× 28 1.1× 15 926
Gregory S. Kanter United States 14 366 1.0× 389 1.3× 449 3.4× 73 1.8× 13 0.5× 81 698
Thomas Lorünser Austria 9 292 0.8× 221 0.7× 83 0.6× 19 0.5× 11 0.4× 42 366
L. C. Comandar Germany 8 501 1.3× 428 1.4× 128 1.0× 17 0.4× 29 1.1× 12 589
Marco Avesani Italy 10 265 0.7× 251 0.8× 48 0.4× 25 0.6× 16 0.6× 26 330
Haokun Mao China 9 255 0.7× 140 0.5× 77 0.6× 36 0.9× 46 1.8× 32 327

Countries citing papers authored by Jing Yan Haw

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Zhang, Gong, Chao Wang, Koon Tong Goh, et al.. (2025). Integrated photonic platform with high-speed entanglement generation and witnessing. Optica. 12(11). 1737–1737.
2.
3.
Zhang, Gong, Chao Wang, Koon Tong Goh, et al.. (2023). Single-photon path entanglement based on integrated silicon photonics. 95. FM4E.7–FM4E.7. 1 indexed citations
4.
Qin, H., Jing Yan Haw, Yueming Cai, et al.. (2023). The National Quantum-Safe Network in Singapore. IET conference proceedings.. 2023(34). 1294–1297. 2 indexed citations
5.
Wang, Chao, et al.. (2023). Provably-secure quantum randomness expansion with uncharacterised homodyne detection. Nature Communications. 14(1). 316–316. 19 indexed citations
6.
Zhang, Gong, et al.. (2022). Discrete-variable quantum key distribution with homodyne detection. Quantum. 6. 613–613. 9 indexed citations
7.
Zhang, Gong, et al.. (2021). Discrete-Variable Quantum Key Distribution Based on Homodyne Detection. M2C.3–M2C.3. 1 indexed citations
8.
Zhang, Gong, et al.. (2021). Optical Power Limiters for Securing Practical Quantum Communication Systems. M2C.6–M2C.6. 1 indexed citations
9.
Zhang, Gong, Jing Yan Haw, Hong Cai, et al.. (2019). An integrated silicon photonic chip platform for continuous-variable quantum key distribution. Nature Photonics. 13(12). 839–842. 240 indexed citations breakdown →
10.
Tserkis, Spyros, Jing Yan Haw, Helen M. Chrzanowski, et al.. (2019). Entanglement properties of a measurement-based entanglement distillation experiment. Physical review. A. 99(4). 3 indexed citations
11.
Truong, Nhan Duy, Jing Yan Haw, Syed M. Assad, Ping Koy Lam, & Omid Kavehei. (2018). Machine Learning Cryptanalysis of a Quantum Random Number Generator. IEEE Transactions on Information Forensics and Security. 14(2). 403–414. 39 indexed citations
12.
Zhang, Gong, Lushuai Cao, Jing Yan Haw, et al.. (2018). Integrated Chip for Continuous-variable Quantum Key Distribution using Silicon Photonic Fabrication. Conference on Lasers and Electro-Optics. FTu3G.2–FTu3G.2. 1 indexed citations
13.
Bradshaw, Mark, Syed M. Assad, Jing Yan Haw, et al.. (2017). Overarching framework between Gaussian quantum discord and Gaussian quantum illumination. Physical review. A. 95(2). 17 indexed citations
14.
Zhao, Jie, Jing Yan Haw, Thomas Symul, et al.. (2017). Quantum enhancement of signal-to-noise ratio with a heralded linear amplifier. Optica. 4(11). 1421–1421. 13 indexed citations
15.
Zhao, Jie, Jing Yan Haw, Thomas Symul, Ping Koy Lam, & Syed M. Assad. (2017). Characterization of a measurement-based noiseless linear amplifier and its applications. Physical review. A. 96(1). 19 indexed citations
16.
Haw, Jing Yan, Jie Zhao, Syed M. Assad, et al.. (2016). Surpassing the no-cloning limit with a heralded hybrid linear amplifier for coherent states. Nature Communications. 7(1). 13222–13222. 42 indexed citations
17.
Haw, Jing Yan, Syed M. Assad, Andrew M. Lance, et al.. (2014). Maximisation of Extractable Randomness in Quantum Random Number Generator. arXiv (Cornell University). 1 indexed citations
18.
Chrzanowski, Helen M., Nathan Walk, Jing Yan Haw, et al.. (2014). Measurement-based noiseless linear amplification for quantum communication. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9269. 926902–926902. 34 indexed citations
19.
Rahimi-Keshari, Saleh, Jing Yan Haw, Syed M. Assad, et al.. (2014). Experimental verification of quantum discord in continuous-variable states and operational significance of discord consumption. 88. FTh3A.6–FTh3A.6. 2 indexed citations
20.
Hosseini, Sayed Mohsen, Saleh Rahimi-Keshari, Jing Yan Haw, et al.. (2014). Experimental verification of quantum discord in continuous-variable states. Journal of Physics B Atomic Molecular and Optical Physics. 47(2). 25503–25503. 9 indexed citations

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.

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