Quan Le

969 total citations
20 papers, 574 citations indexed

About

Quan Le is a scholar working on Signal Processing, Artificial Intelligence and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Quan Le has authored 20 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Signal Processing, 7 papers in Artificial Intelligence and 6 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Quan Le's work include Advanced Malware Detection Techniques (8 papers), Air Quality and Health Impacts (6 papers) and Air Quality Monitoring and Forecasting (5 papers). Quan Le is often cited by papers focused on Advanced Malware Detection Techniques (8 papers), Air Quality and Health Impacts (6 papers) and Air Quality Monitoring and Forecasting (5 papers). Quan Le collaborates with scholars based in Ireland, Vietnam and Spain. Quan Le's co-authors include Gianluca Pollastri, Mirko Torrisi, Mark Scanlon, Brian Mac Namee, Oisín Boydell, Daniel Gibert, Jordi Planes, Carles Mateu, Ricardo Simón Carbajo and Bang Quoc Ho and has published in prestigious journals such as Bioinformatics, Journal of Molecular Biology and Chemosphere.

In The Last Decade

Quan Le

19 papers receiving 558 citations

Peers

Quan Le

CNC

Omar Alghushairy Saudi Arabia

Wei Zhong United States

Mohammadmahdi R. Yousefi United States

Huan Yee Koh Australia

Qiumin Xu United States

Sébastien Varrette Luxembourg

Lin Teng China

Yuyin Sun China

Jianguo Wang China

Zhengkui Wang Singapore

Omar Alghushairy Saudi Arabia

Quan Le

56 ×0.3

108 ×0.6

CNC

98 ×0.6

181 ×1.3

25 ×0.3

Citations per year, relative to Quan Le Quan Le (= 1×) peers Omar Alghushairy

Countries citing papers authored by Quan Le

Since Specialization

Citations

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

Fields of papers citing papers by Quan Le

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Quan Le

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

All Works

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20 of 20 papers shown

Gibert, Daniel, et al.. (2025). Assessing the impact of packing on static machine learning-based malware detection and classification systems. Computers & Security. 156. 104495–104495. 1 indexed citations

Rakholia, Rajnish, et al.. (2024). Accurate PM2.5 urban air pollution forecasting using multivariate ensemble learning Accounting for evolving target distributions. Chemosphere. 364. 143097–143097. 7 indexed citations

Rakholia, Rajnish, et al.. (2023). Multi-output machine learning model for regional air pollution forecasting in Ho Chi Minh City, Vietnam. Environment International. 173. 107848–107848. 37 indexed citations

Gibert, Daniel, et al.. (2023). A Wolf in Sheep’s Clothing: Query-Free Evasion Attacks Against Machine Learning-Based Malware Detectors with Generative Adversarial Networks. 415–426. 10 indexed citations

Gibert, Daniel, et al.. (2023). Certified Robustness of Static Deep Learning-based Malware Detectors against Patch and Append Attacks. 173–184. 3 indexed citations

Rakholia, Rajnish, et al.. (2022). Outdoor air quality data for spatiotemporal analysis and air quality modelling in Ho Chi Minh City, Vietnam: A part of HealthyAir Project. Data in Brief. 46. 108774–108774. 4 indexed citations

Ho, Bang Quoc, et al.. (2022). The Emissions and Measures in Greenhouse Gases Management for Climate Change Mitigation in Developing Countries: A Case of Ho Chi Minh City, Vietnam. International Journal of Environmental Science and Development. 13(6). 257–263. 3 indexed citations

Gibert, Daniel, Jordi Planes, Carles Mateu, & Quan Le. (2022). Fusing feature engineering and deep learning: A case study for malware classification. Expert Systems with Applications. 207. 117957–117957. 46 indexed citations

Rakholia, Rajnish, et al.. (2022). Ai Based Air Quality Pm2.5 Forecasting Models for Developing Countries: A Case Study of Ho Chi Minh City, Vietnam. SSRN Electronic Journal. 1 indexed citations

10.

Rakholia, Rajnish, et al.. (2022). AI-based air quality PM2.5 forecasting models for developing countries: A case study of Ho Chi Minh City, Vietnam. Urban Climate. 46. 101315–101315. 19 indexed citations

11.

Le, Quan, et al.. (2021). Identifying Internet of Things software activities using deep learning-based electromagnetic side-channel analysis. Forensic Science International Digital Investigation. 39. 301308–301308. 8 indexed citations

12.

Gibert, Daniel, Matt Fredrikson, Carles Mateu, Jordi Planes, & Quan Le. (2021). Enhancing the insertion of NOP instructions to obfuscate malware via deep reinforcement learning. Computers & Security. 113. 102543–102543. 12 indexed citations

13.

Torrisi, Mirko, Gianluca Pollastri, & Quan Le. (2020). Deep learning methods in protein structure prediction. Computational and Structural Biotechnology Journal. 18. 1301–1310. 178 indexed citations

14.

Boydell, Oisín, et al.. (2019). Using Text Classification Methods to Detect Malware.. 95–103.

15.

Le, Quan, Oisín Boydell, Brian Mac Namee, & Mark Scanlon. (2018). Deep learning at the shallow end: Malware classification for non-domain experts. Digital Investigation. 26. S118–S126. 136 indexed citations

16.

Le, Quan, Fabian Sievers, & Desmond G. Higgins. (2017). Protein multiple sequence alignment benchmarking through secondary structure prediction. Bioinformatics. 33(9). 1331–1337. 24 indexed citations

17.

Tran, Khoa, et al.. (2015). Measuring human respiration rate using depth frames of PrimeSense camera. 10. 411–416. 1 indexed citations

18.

Le, Quan, et al.. (2014). RPL-based multipath Routing Protocols for Internet of Things on Wireless Sensor Networks. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 424–429. 49 indexed citations

19.

Le, Quan, Gianluca Pollastri, & Patrice Koehl. (2008). Structural Alphabets for Protein Structure Classification: A Comparison Study. Journal of Molecular Biology. 387(2). 431–450. 25 indexed citations

20.

Le, Quan & Samy Bengio. (2002). Hybrid generative-discriminative models for speech and speaker recognition. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 10 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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