Trung-Hieu Le

592 total citations
20 papers, 330 citations indexed

About

Trung-Hieu Le is a scholar working on Computer Vision and Pattern Recognition, Safety, Risk, Reliability and Quality and Human-Computer Interaction. According to data from OpenAlex, Trung-Hieu Le has authored 20 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 4 papers in Safety, Risk, Reliability and Quality and 3 papers in Human-Computer Interaction. Recurrent topics in Trung-Hieu Le's work include Advanced Neural Network Applications (10 papers), Image Enhancement Techniques (9 papers) and Fire Detection and Safety Systems (4 papers). Trung-Hieu Le is often cited by papers focused on Advanced Neural Network Applications (10 papers), Image Enhancement Techniques (9 papers) and Fire Detection and Safety Systems (4 papers). Trung-Hieu Le collaborates with scholars based in Taiwan, Vietnam and Japan. Trung-Hieu Le's co-authors include Shih-Chia Huang, Da-Wei Jaw, Dinh Tran Ngoc Huy, Shih‐Chia Huang, Huibin Liu, Phạm Văn Tuấn, Po‐Hsiung Lin, Thị Thu Hằng Nguyễn, Lê Thị Hương and Nguyễn Đình Trung and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Sensors.

In The Last Decade

Trung-Hieu Le

17 papers receiving 319 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Trung-Hieu Le Taiwan 9 249 43 36 33 33 20 330
Da-Wei Jaw Taiwan 7 268 1.1× 55 1.3× 37 1.0× 28 0.8× 24 0.7× 11 316
Kuan-Hui Lee United States 10 254 1.0× 18 0.4× 34 0.9× 26 0.8× 71 2.2× 15 298
Horng-Horng Lin Taiwan 8 250 1.0× 31 0.7× 20 0.6× 61 1.8× 11 0.3× 21 327
Graeme A. Jones United Kingdom 7 272 1.1× 21 0.5× 12 0.3× 46 1.4× 54 1.6× 14 316
Yubin Wu China 6 260 1.0× 15 0.3× 53 1.5× 70 2.1× 41 1.2× 13 334
Zhize Wu China 13 172 0.7× 56 1.3× 4 0.1× 44 1.3× 28 0.8× 34 281
Marcos Escudero-Viñolo Spain 11 198 0.8× 24 0.6× 5 0.1× 105 3.2× 30 0.9× 29 331
Sachin R. Sakhare India 6 80 0.3× 12 0.3× 14 0.4× 33 1.0× 17 0.5× 31 192
Cuong Cao Pham South Korea 10 271 1.1× 68 1.6× 9 0.3× 33 1.0× 42 1.3× 16 319

Countries citing papers authored by Trung-Hieu Le

Since Specialization
Citations

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

Fields of papers citing papers by Trung-Hieu Le

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Trung-Hieu Le

This figure shows the co-authorship network connecting the top 25 collaborators of Trung-Hieu Le. A scholar is included among the top collaborators of Trung-Hieu 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 Trung-Hieu Le. Trung-Hieu 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, Trung-Hieu, et al.. (2025). Diffusion-based feature absorption approach for improving lightweight object detectors in adverse weather conditions. Engineering Applications of Artificial Intelligence. 161. 112263–112263.
2.
Le, Trung-Hieu, et al.. (2025). Diverse multi-scale features absorption for lightweight object detection models in inclement weather conditions. Computers & Electrical Engineering. 123. 110221–110221. 1 indexed citations
3.
Le, Trung-Hieu, et al.. (2025). Amalgamating Knowledge for Object Detection in Rainy Weather Conditions. ACM Transactions on Intelligent Systems and Technology. 16(2). 1–20.
4.
Le, Trung-Hieu, et al.. (2024). Multilevel Knowledge Transmission for Object Detection in Rainy Night Weather Conditions. IEEE Transactions on Industrial Informatics. 20(9). 11224–11232. 4 indexed citations
5.
Huang, Shih-Chia, et al.. (2023). 3FL-Net: An Efficient Approach for Improving Performance of Lightweight Detectors in Rainy Weather Conditions. IEEE Transactions on Intelligent Transportation Systems. 24(4). 4293–4305. 15 indexed citations
6.
Huang, Shih-Chia, et al.. (2022). SFA-Net: A Selective Features Absorption Network for Object Detection in Rainy Weather Conditions. IEEE Transactions on Neural Networks and Learning Systems. 34(8). 5122–5132. 37 indexed citations
7.
Le, Trung-Hieu. (2021). Internet of Things (IOT) Uses and Applications - Solutions in Emerging Markets and Vietnam. Turkish Journal of Computer and Mathematics Education (TURCOMAT). 12(11). 5546–5550. 1 indexed citations
8.
Huy, Dinh Tran Ngoc, et al.. (2021). Discussion on E-Learning Solutions for Students – and Issues of Technology Application in Classroom. 11432–11443. 3 indexed citations
9.
Huy, Dinh Tran Ngoc, et al.. (2021). Further Researches and Discussion on Machine Learning Meanings - And Methods Of Classifying and Recognizing Users Gender on Internet. 9(3). 1190–1204. 14 indexed citations
10.
Le, Trung-Hieu, et al.. (2021). Solutions To Enhance Students’ Awareness In E-Learning Training - And Technical Application For Education Quality Enhancement At Colleges And Universities. 7648–7659. 1 indexed citations
11.
Huang, Shih-Chia, et al.. (2021). An Advanced Noise Reduction and Edge Enhancement Algorithm. Sensors. 21(16). 5391–5391. 9 indexed citations
12.
Huy, Dinh Tran Ngoc, et al.. (2021). Digital Transformation, IoTs and AI Applications in Electric and Electrical Engineering Sector in Vietnam in Industry 4.0 – And Cyber Zecurity Risk Solutions. 589–601.
14.
Huy, Dinh Tran Ngoc, et al.. (2021). Internet of Things (IoT), Artificial Intelligence (AI) Applications for Various Sectors in Emerging Markets - and Risk Management Information System (RMIS) Issues. 609–618. 9 indexed citations
15.
Huang, Shih-Chia, Trung-Hieu Le, & Da-Wei Jaw. (2020). DSNet: Joint Semantic Learning for Object Detection in Inclement Weather Conditions. IEEE Transactions on Pattern Analysis and Machine Intelligence. 43(8). 1–1. 175 indexed citations
16.
Le, Trung-Hieu, et al.. (2020). Data Augmentation for Improving SSD Performance in Rainy Weather Conditions. 10 indexed citations
17.
Le, Trung-Hieu, et al.. (2020). An Improvement of RetinaNet for Hand Detection in Intelligent Homecare Systems. 1–2. 5 indexed citations
18.
Le, Trung-Hieu, Po‐Hsiung Lin, & Shih-Chia Huang. (2020). LD-Net: An Efficient Lightweight Denoising Model Based on Convolutional Neural Network. SHILAP Revista de lepidopterología. 1. 173–181. 6 indexed citations
19.
Le, Trung-Hieu, Shih-Chia Huang, & Da-Wei Jaw. (2019). Cross-Resolution Feature Fusion for Fast Hand Detection in Intelligent Homecare Systems. IEEE Sensors Journal. 19(12). 4696–4704. 18 indexed citations
20.
Le, Trung-Hieu, et al.. (2018). An efficient hand detection method based on convolutional neural network. 1–2. 16 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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