Kim-Hung Le

913 total citations
43 papers, 542 citations indexed

About

Kim-Hung Le is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Kim-Hung Le has authored 43 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Networks and Communications, 18 papers in Artificial Intelligence and 14 papers in Signal Processing. Recurrent topics in Kim-Hung Le's work include Network Security and Intrusion Detection (16 papers), Advanced Malware Detection Techniques (13 papers) and Internet Traffic Analysis and Secure E-voting (7 papers). Kim-Hung Le is often cited by papers focused on Network Security and Intrusion Detection (16 papers), Advanced Malware Detection Techniques (13 papers) and Internet Traffic Analysis and Secure E-voting (7 papers). Kim-Hung Le collaborates with scholars based in Vietnam, France and Belgium. Kim-Hung Le's co-authors include Ngan Luu-Thuy Nguyen, Christian Bonnet, Soumya Kanti Datta, François P. Hamon and Paolo Papotti and has published in prestigious journals such as IEEE Access, Sensors and Computers and Electronics in Agriculture.

In The Last Decade

Kim-Hung Le

33 papers receiving 517 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kim-Hung Le Vietnam 11 267 185 168 162 64 43 542
C. Deisy India 11 229 0.9× 262 1.4× 173 1.0× 170 1.0× 55 0.9× 33 652
Ahmed A. Nashat Egypt 7 221 0.8× 156 0.8× 132 0.8× 120 0.7× 101 1.6× 10 448
Pranav M. Pawar United Arab Emirates 13 250 0.9× 148 0.8× 106 0.6× 113 0.7× 32 0.5× 64 470
Vinod Pachghare India 12 206 0.8× 167 0.9× 165 1.0× 127 0.8× 48 0.8× 39 621
C. D. Jaidhar India 16 370 1.4× 220 1.2× 190 1.1× 216 1.3× 71 1.1× 52 808
S. M. Meena India 11 91 0.3× 109 0.6× 110 0.7× 59 0.4× 63 1.0× 53 418
T. Saranya India 5 222 0.8× 192 1.0× 78 0.5× 126 0.8× 12 0.2× 16 399
Dominique Genoud Switzerland 15 106 0.4× 199 1.1× 63 0.4× 206 1.3× 17 0.3× 50 616
Setya Widyawan Prakosa Taiwan 12 117 0.4× 105 0.6× 63 0.4× 66 0.4× 40 0.6× 30 438

Countries citing papers authored by Kim-Hung Le

Since Specialization
Citations

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

Fields of papers citing papers by Kim-Hung Le

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kim-Hung Le

This figure shows the co-authorship network connecting the top 25 collaborators of Kim-Hung Le. A scholar is included among the top collaborators of Kim-Hung 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 Kim-Hung Le. Kim-Hung Le 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.
Le, Kim-Hung, et al.. (2025). MTAS: A temporal-aware multiview graph attention framework for early rumor detection on social media. Information Fusion. 126. 103598–103598.
2.
Le, Kim-Hung, et al.. (2025). A multimodal skin lesion classification through cross-attention fusion and collaborative edge computing. Computerized Medical Imaging and Graphics. 124. 102588–102588. 1 indexed citations
3.
Le, Kim-Hung, et al.. (2025). TinyResViT: A lightweight hybrid deep learning model for on-device corn leaf disease detection. Internet of Things. 30. 101495–101495.
4.
Le, Kim-Hung, et al.. (2025). EF-CenterNet: An efficient anchor-free model for UAV-based banana leaf disease detection. Computers and Electronics in Agriculture. 231. 109927–109927. 3 indexed citations
5.
Le, Kim-Hung, et al.. (2025). nNFST: A single-model approach for multiclass novelty detection in network intrusion detection systems. Journal of Network and Computer Applications. 236. 104128–104128.
6.
Le, Kim-Hung, et al.. (2024). DetectVul: A statement-level code vulnerability detection for Python. Future Generation Computer Systems. 163. 107504–107504. 4 indexed citations
7.
Le, Kim-Hung, et al.. (2024). Deep Learning Models for UAV-Assisted Bridge Inspection: A YOLO Benchmark Analysis. 963–968. 1 indexed citations
8.
Le, Kim-Hung, et al.. (2024). MobileH-Transformer: Enabling real-time leaf disease detection using hybrid deep learning approach for smart agriculture. Crop Protection. 189. 107002–107002. 13 indexed citations
9.
Le, Kim-Hung, et al.. (2024). XSShield: A novel dataset and lightweight hybrid deep learning model for XSS attack detection. Results in Engineering. 24. 103363–103363. 1 indexed citations
10.
11.
12.
Le, Kim-Hung, et al.. (2023). Robust detection of unknown DoS/DDoS attacks in IoT networks using a hybrid learning model. Internet of Things. 23. 100851–100851. 41 indexed citations
13.
Le, Kim-Hung, et al.. (2023). Benchmarking SVM Variants for Unsupervised Intrusion Detection System. 20. 521–526. 1 indexed citations
14.
Le, Kim-Hung, et al.. (2023). An Edge-based Fire Detection System for Real-Time IoT Applications. 646–651. 1 indexed citations
15.
Le, Kim-Hung, et al.. (2023). Towards Generating Semi-Synthetic Datasets for Network Intrusion Detection System. 62–66. 1 indexed citations
16.
Le, Kim-Hung, et al.. (2022). Enhancing Explainability of Machine Learning-based Intrusion Detection Systems. 606–611. 2 indexed citations
17.
Le, Kim-Hung, et al.. (2022). FormerLeaf: An efficient vision transformer for Cassava Leaf Disease detection. Computers and Electronics in Agriculture. 204. 107518–107518. 103 indexed citations
18.
Le, Kim-Hung, et al.. (2021). AirGen: GAN-based synthetic data generator for air monitoring in Smart City. 317–322. 8 indexed citations
19.
Le, Kim-Hung, et al.. (2021). Artificial Cognition for Early Leaf Disease Detection using Vision Transformers. 33–38. 51 indexed citations
20.
Le, Kim-Hung, et al.. (2017). An industrial IoT framework to simplify connection process using system-generated connector. 2007. 1–6. 2 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by C. Deisy Breakdown of academic impact, for papers by Ahmed A. Nashat Breakdown of academic impact, for papers by Pranav M. Pawar Breakdown of academic impact, for papers by Vinod Pachghare Breakdown of academic impact, for papers by C. D. Jaidhar Breakdown of academic impact, for papers by S. M. Meena Breakdown of academic impact, for papers by T. Saranya Breakdown of academic impact, for papers by Dominique Genoud Breakdown of academic impact, for papers by Setya Widyawan Prakosa
Rankless by CCL
2026