Hui Khoon Ng

37 papers receiving 683 citations

Peers

Hui Khoon Ng
Comparison fields: 5 of 49
  • Artificial Intelligence 582
  • Atomic and Molecular Physics, and Optics 512
  • Statistical and Nonlinear Physics 85
  • Electrical and Electronic Engineering 55
  • Computational Theory and Mathematics 39
Replace H. Chau Nguyen with:
H. Chau Nguyen Germany
Rodrigo Gallego Spain
Salman Beigi Iran
Łukasz Rudnicki Poland
S. Massar Belgium
Florian Fröwis Switzerland
Nathaniel Johnston Canada
Sibasish Ghosh India
Mio Murao Japan
Juha-Pekka Pellonpää Finland
Hui Khoon Ng relative to H. Chau Nguyen Germany H. Chau Nguyen's profile →
Citations per field
00.5×
H. Chau Nguyen · 1×
Citations per year

Countries citing papers authored by Hui Khoon Ng

Since Specialization
Citations

This map shows the geographic impact of Hui Khoon Ng'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 Hui Khoon Ng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Khoon Ng more than expected).

Fields of papers citing papers by Hui Khoon Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hui Khoon Ng. 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 Hui Khoon Ng. The network helps show where Hui Khoon Ng may publish in the future.

Co-authorship network of co-authors of Hui Khoon Ng

This figure shows the co-authorship network connecting the top 25 collaborators of Hui Khoon Ng. A scholar is included among the top collaborators of Hui Khoon Ng 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 Hui Khoon Ng. Hui Khoon Ng 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
#WorkIndexed citations
1 4
2 1
3 12
4 21
5 3
6 5
7 2
8 8
9 7
10 8
11 18
12 9
13 1
14 0
15
Raman transitions without adiabatic elimination: A simple and accurate treatment
4
16 5
17
The structure of preserved information in quantum processes
2
18 58
19
Highly Efficient Quantum Key Distribution With Minimal State Tomography
1
20
Nanosecond >4-micron PPLN OPO pumped by a Yb fiber laser
2

About Hui Khoon Ng

Hui Khoon Ng is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Statistical and Nonlinear Physics, having authored 38 papers that have together received 701 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (29 papers), Quantum Computing Algorithms and Architecture (21 papers) and Quantum Mechanics and Applications (14 papers). The work is most often cited by research in Artificial Intelligence (582 citations), Atomic and Molecular Physics, and Optics (512 citations) and Statistical and Nonlinear Physics (85 citations). Hui Khoon Ng has collaborated with scholars based in Singapore, France and United States. Frequent co-authors include Berthold‐Georg Englert, Prabha Mandayam, John Preskill, Jiangwei Shang, Robin Blume-Kohout, David Poulin, Lorenza Viola, Daniel A. Lidar, Zhengyun Zhang and Xikun Li. Their work appears in journals such as Physical Review Letters, Physical Review A and Annals of Physics.

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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