Ngan Le

3.7k total citations · 2 hit papers
109 papers, 2.1k citations indexed

About

Ngan Le is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Ngan Le has authored 109 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Computer Vision and Pattern Recognition, 33 papers in Artificial Intelligence and 12 papers in Signal Processing. Recurrent topics in Ngan Le's work include Advanced Neural Network Applications (21 papers), Human Pose and Action Recognition (19 papers) and Multimodal Machine Learning Applications (17 papers). Ngan Le is often cited by papers focused on Advanced Neural Network Applications (21 papers), Human Pose and Action Recognition (19 papers) and Multimodal Machine Learning Applications (17 papers). Ngan Le collaborates with scholars based in United States, Vietnam and United Kingdom. Ngan Le's co-authors include Khoa Luu, Kashu Yamazaki, Marios Savvides, Viet-Khoa Vo-Ho, Chin‐Chen Chang, Chenchen Zhu, Chi Nhan Duong, Kha Gia Quach, Yutong Zheng and Hien Van Nguyen and has published in prestigious journals such as Journal of Applied Physics, Diabetes and Scientific Reports.

In The Last Decade

Ngan Le

102 papers receiving 2.0k citations

Hit Papers

Spiking Neural Networks and Their Applications: A Review 2022 2026 2023 2024 2022 2024 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Spiking Neural Networks and Their Applications: A Review
    2022 293 citations Ngan Le et al. profile →
  2. MEGANet: Multi-Scale Edge-Guided Attention Network for Weak Boundary Polyp Segmentation
    2024 48 citations Minh–Triet Tran, Ngan Le et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ngan Le United States 22 1.1k 591 233 197 172 109 2.1k
Shaoyi Du China 29 1.8k 1.6× 635 1.1× 184 0.8× 158 0.8× 349 2.0× 217 3.3k
German I. Parisi Germany 13 770 0.7× 1.3k 2.2× 185 0.8× 183 0.9× 109 0.6× 30 2.1k
Yujun Shi China 12 1.1k 1.0× 616 1.0× 239 1.0× 145 0.7× 155 0.9× 20 2.0k
Fei Su China 20 1.3k 1.2× 425 0.7× 178 0.8× 128 0.6× 72 0.4× 166 2.2k
Tao Chen China 26 1.2k 1.1× 860 1.5× 293 1.3× 145 0.7× 88 0.5× 130 2.5k
Gyanendra K. Verma India 14 482 0.4× 399 0.7× 138 0.6× 340 1.7× 100 0.6× 37 1.6k
Jing Pan China 20 914 0.8× 360 0.6× 81 0.3× 146 0.7× 147 0.9× 93 1.7k
Luigi Cinque Italy 26 1.3k 1.2× 571 1.0× 89 0.4× 119 0.6× 290 1.7× 159 2.3k
Nikolaos Papanikolopoulos United States 26 1.5k 1.4× 651 1.1× 246 1.1× 127 0.6× 92 0.5× 201 3.1k
Xin Liu China 29 1.1k 1.0× 324 0.5× 291 1.2× 162 0.8× 119 0.7× 172 2.5k

Countries citing papers authored by Ngan Le

Since Specialization
Citations

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

Fields of papers citing papers by Ngan Le

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ngan Le

This figure shows the co-authorship network connecting the top 25 collaborators of Ngan Le. A scholar is included among the top collaborators of Ngan 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 Ngan Le. Ngan 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.
Huang, Baoru, et al.. (2025). Learning Human Motion with Temporally Conditional Mamba. 1–10.
2.
Le, Ngan, et al.. (2025). Comprehensive analysis of experimental conditions in plasma–liquid interaction for the efficient removal of methylene blue. RSC Advances. 15(19). 14756–14766. 1 indexed citations
3.
Vu, Tuan A., Ngan Le, Zhigang Deng, et al.. (2025). Modeling radiologists’ cognitive processes using a digital gaze twin to enhance radiology training. Scientific Reports. 15(1). 13685–13685.
4.
Fernandes, Arthur, et al.. (2025). Facial chick sexing: An automated chick sexing system from chick facial image. Smart Agricultural Technology. 12. 101044–101044. 2 indexed citations
5.
Le, Ngan, et al.. (2024). HAtt-Flow: Hierarchical Attention-Flow Mechanism for Group-Activity Scene Graph Generation in Videos. Sensors. 24(11). 3372–3372. 2 indexed citations
6.
Tran, Anh, et al.. (2024). SolarFormer: Multi-scale Transformer for Solar PV Profiling. 1–8. 1 indexed citations
7.
Dinh, Anh, et al.. (2024). Z-GMOT: Zero-shot Generic Multiple Object Tracking. 3468–3479. 4 indexed citations
8.
Nguyen, Toan, et al.. (2024). Language-Conditioned Affordance-Pose Detection in 3D Point Clouds. 3071–3078. 4 indexed citations
9.
Huang, Baoru, et al.. (2024). Open-Vocabulary Affordance Detection using Knowledge Distillation and Text-Point Correlation. 13968–13975. 1 indexed citations
10.
11.
Do, Tuong, et al.. (2024). Style Transfer for 2D Talking Head Generation. 7500–7509. 1 indexed citations
12.
Le, Ngan, et al.. (2024). Bridging human and machine intelligence: Reverse-engineering radiologist intentions for clinical trust and adoption. Computational and Structural Biotechnology Journal. 24. 711–723. 2 indexed citations
13.
Nguyen, Toan, et al.. (2023). Open-Vocabulary Affordance Detection in 3D Point Clouds. 5692–5698. 12 indexed citations
14.
Quach, Kha Gia, et al.. (2022). Non-volume preserving-based fusion to group-level emotion recognition on crowd videos. Pattern Recognition. 128. 108646–108646. 16 indexed citations
15.
Zhou, Shuai, Ngan Le, Khoa Luu, Hien Van Nguyen, & Nicholas Ayache. (2021). Deep reinforcement learning in medical imaging: A literature review. Medical Image Analysis. 73. 102193–102193. 3 indexed citations
16.
Le, Ngan, et al.. (2021). Deep reinforcement learning in medical imaging: A literature review. HAL (Le Centre pour la Communication Scientifique Directe). 130 indexed citations
17.
Wang, Qian, Fausto Milletarì, Hien Van Nguyen, et al.. (2019). Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data First MICCAI Workshop, DART 2019, and First International Workshop, MIL3ID 2019, Shenzhen, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings. 4 indexed citations
18.
Le, Ngan, Chi Nhan Duong, Ligong Han, et al.. (2018). Deep contextual recurrent residual networks for scene labeling. Pattern Recognition. 80. 32–41. 17 indexed citations
19.
Penberthy, J. Kim, et al.. (2018). Mindfulness Based Therapies for Autoimmune Diseases and Related Symptoms. OBM Integrative and Complementary Medicine. 3(4). 1–28. 4 indexed citations
20.
Le, Ngan, Yutong Zheng, Chenchen Zhu, Khoa Luu, & Marios Savvides. (2016). Multiple Scale Faster-RCNN Approach to Driver’s Cell-Phone Usage and Hands on Steering Wheel Detection. 46–53. 135 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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