David Luong

514 total citations
29 papers, 336 citations indexed

About

David Luong is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computer Networks and Communications. According to data from OpenAlex, David Luong has authored 29 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 21 papers in Atomic and Molecular Physics, and Optics and 5 papers in Computer Networks and Communications. Recurrent topics in David Luong's work include Quantum Information and Cryptography (24 papers), Quantum Mechanics and Applications (16 papers) and Quantum Computing Algorithms and Architecture (14 papers). David Luong is often cited by papers focused on Quantum Information and Cryptography (24 papers), Quantum Mechanics and Applications (16 papers) and Quantum Computing Algorithms and Architecture (14 papers). David Luong collaborates with scholars based in Canada and United States. David Luong's co-authors include Bhashyam Balaji, Sreeraman Rajan, C. W. Sandbo Chang, C. M. Wilson, Anthony Damini, A. M. Vadiraj, Liang Jiang, Norbert Lütkenhaus, Feng Su and Shulabh Gupta and has published in prestigious journals such as IEEE Access, IEEE Transactions on Aerospace and Electronic Systems and IEEE Sensors Journal.

In The Last Decade

David Luong

26 papers receiving 326 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Luong Canada	9	294	269	38	32	27	29	336
Jasminder S. Sidhu United Kingdom	9	283 1.0×	237 0.9×	63 1.7×	32 1.0×	14 0.5×	14	357
Costantino Agnesi Italy	10	253 0.9×	241 0.9×	59 1.6×	14 0.4×	10 0.4×	22	317
Mitsuo Kitamura Japan	6	183 0.6×	195 0.7×	135 3.6×	30 0.9×	18 0.7×	11	304
Matteo Schiavon Italy	11	252 0.9×	232 0.9×	55 1.4×	21 0.7×	7 0.3×	24	318
Wouter Vlothuizen Netherlands	7	200 0.7×	130 0.5×	42 1.1×	25 0.8×	10 0.4×	11	256
S. Philipp-May Germany	8	90 0.3×	115 0.4×	133 3.5×	90 2.8×	25 0.9×	11	257
Praveen K. Vudyasetu United States	6	127 0.4×	374 1.4×	73 1.9×	8 0.3×	9 0.3×	8	393
Weiting Wang China	10	263 0.9×	230 0.9×	74 1.9×	12 0.4×	17 0.6×	30	352
Michael Taraba Austria	5	202 0.7×	212 0.8×	39 1.0×	33 1.0×	7 0.3×	6	273
Cheng-Qiu Hu China	9	203 0.7×	180 0.7×	59 1.6×	8 0.3×	4 0.1×	10	301

Countries citing papers authored by David Luong

Since Specialization

Citations

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

Fields of papers citing papers by David Luong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Luong. 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 David Luong. The network helps show where David Luong may publish in the future.

Co-authorship network of co-authors of David Luong

This figure shows the co-authorship network connecting the top 25 collaborators of David Luong. A scholar is included among the top collaborators of David Luong 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 David Luong. David Luong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Luong, David, et al.. (2024). Synthetic Malware Using Deep Variational Autoencoders and Generative Adversarial Networks. EAI Endorsed Transactions on Internet of Things. 10. 1 indexed citations

2.

Su, Feng, et al.. (2023). Machine Learning-Based Real-Time Metasurface Reconfiguration. 1–6. 1 indexed citations

3.

Luong, David, Bhashyam Balaji, & Sreeraman Rajan. (2023). Quantum Radar: Challenges and Outlook: An Overview of the State of the Art. IEEE Microwave Magazine. 24(9). 61–67. 5 indexed citations

4.

Luong, David, Bhashyam Balaji, & Sreeraman Rajan. (2023). Speeding up Detection and Imaging Using Quantum Radars. 1–5. 3 indexed citations

5.

Luong, David, Bhashyam Balaji, & Sreeraman Rajan. (2022). Performance Prediction for Coherent Noise Radars Using the Correlation Coefficient. IEEE Access. 10. 8627–8633. 12 indexed citations

6.

Luong, David, Bhashyam Balaji, & Sreeraman Rajan. (2021). Biomedical Sensing Using Quantum Radars Based on Josephson Parametric Amplifiers. 3 indexed citations

7.

Luong, David, Bhashyam Balaji, & Sreeraman Rajan. (2021). An Approximate Likelihood Ratio Detector for QTMS Radar and Noise Radar. 1–5. 2 indexed citations

8.

Luong, David, Sreeraman Rajan, & Bhashyam Balaji. (2021). Quantum Monopulse Radar. The Applied Computational Electromagnetics Society Journal (ACES). 35(11). 1430–1432.

9.

Luong, David, Bhashyam Balaji, & Sreeraman Rajan. (2020). Quantum Two-Mode Squeezing Radar and Noise Radar: Correlation Coefficient and Integration Time. IEEE Access. 8. 185544–185547. 3 indexed citations

10.

Luong, David, Sreeraman Rajan, & Bhashyam Balaji. (2020). Quantum Two-Mode Squeezing Radar: SNR and Detection Performance. 761–765. 3 indexed citations

11.

Luong, David, Bhashyam Balaji, & Sreeraman Rajan. (2020). Simulation Study of a Detector Function for QTMS Radar and Noise Radar. 1–5. 6 indexed citations

12.

Luong, David, Sreeraman Rajan, & Bhashyam Balaji. (2020). Quantum Two-Mode Squeezing Radar and Noise Radar: Correlation Coefficients for Target Detection. IEEE Sensors Journal. 20(10). 5221–5228. 24 indexed citations

13.

Luong, David, Sreeraman Rajan, & Bhashyam Balaji. (2020). Quantum Monopulse Radar. 1–2. 4 indexed citations

14.

Luong, David, et al.. (2020). Machine Learning Approach to Chirp Rate Estimation of Linear Frequency Modulated Radars. 5B2–1. 2 indexed citations

15.

Luong, David, Sreeraman Rajan, & Bhashyam Balaji. (2019). Are Quantum Radar Arrays Possible?. 1–4. 10 indexed citations

16.

Luong, David & Bhashyam Balaji. (2019). Quantum radar, quantum networks, not-so-quantum hackers. 48–48. 6 indexed citations

17.

Luong, David & Bhashyam Balaji. (2019). Quantum two‐mode squeezing radar and noise radar: covariance matrices for signal processing. IET Radar Sonar & Navigation. 14(1). 97–104. 35 indexed citations

18.

Luong, David, Anthony Damini, Bhashyam Balaji, et al.. (2019). A Quantum-Enhanced Radar Prototype. 1–6. 20 indexed citations

19.

Luong, David, et al.. (2018). Microwave Quantum Radar: An Experimental Validation. 1–5. 21 indexed citations

20.

Luong, David, et al.. (2016). Overcoming lossy channel bounds using a single quantum repeater node. Applied Physics B. 122(4). 40 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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