Luyl-Da Quach

653 total citations
39 papers, 333 citations indexed

About

Luyl-Da Quach is a scholar working on Plant Science, Computer Vision and Pattern Recognition and Analytical Chemistry. According to data from OpenAlex, Luyl-Da Quach has authored 39 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Plant Science, 13 papers in Computer Vision and Pattern Recognition and 8 papers in Analytical Chemistry. Recurrent topics in Luyl-Da Quach's work include Smart Agriculture and AI (15 papers), Advanced Neural Network Applications (11 papers) and Spectroscopy and Chemometric Analyses (8 papers). Luyl-Da Quach is often cited by papers focused on Smart Agriculture and AI (15 papers), Advanced Neural Network Applications (11 papers) and Spectroscopy and Chemometric Analyses (8 papers). Luyl-Da Quach collaborates with scholars based in Vietnam, Malaysia and Italy. Luyl-Da Quach's co-authors include Hoang Ngoc Tran, Anh Nguyễn Quỳnh, Chi-Ngon Nguyen, Nghia Duong‐Trung, Nguyen Thai-Nghe, Minh‐Hoang Nguyen, Tri Gia Nguyen, Tran Duc Chung, Mohd Fadzil Hassan and M. T. Tran and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Data in Brief.

In The Last Decade

Luyl-Da Quach

34 papers receiving 319 citations

Peers

Luyl-Da Quach
Luyl-Da Quach
Citations per year, relative to Luyl-Da Quach Luyl-Da Quach (= 1×) peers Qinghua Lu

Countries citing papers authored by Luyl-Da Quach

Since Specialization
Citations

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

Fields of papers citing papers by Luyl-Da Quach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luyl-Da Quach. 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 Luyl-Da Quach. The network helps show where Luyl-Da Quach may publish in the future.

Co-authorship network of co-authors of Luyl-Da Quach

This figure shows the co-authorship network connecting the top 25 collaborators of Luyl-Da Quach. A scholar is included among the top collaborators of Luyl-Da Quach 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 Luyl-Da Quach. Luyl-Da Quach 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
2.
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Quach, Luyl-Da, et al.. (2024). Augmented Reality System in Furniture Sales Management Simulation in Vietnam. 460–466. 1 indexed citations
6.
Tran, Hoang Ngoc, et al.. (2024). Steering Angle Prediction for Autonomous Vehicles Using Deep Transfer Learning. Journal of Advances in Information Technology. 15(1). 138–146. 2 indexed citations
7.
Quach, Luyl-Da, et al.. (2024). Rice pest dataset supports the construction of smart farming systems. Data in Brief. 52. 110046–110046. 4 indexed citations
8.
Quach, Luyl-Da, et al.. (2024). Grain rot dataset caused by Burkholderia Glumae Bacteria. Data in Brief. 54. 110334–110334.
9.
Quach, Luyl-Da, et al.. (2023). Explainable Deep Learning Models With Gradient-Weighted Class Activation Mapping for Smart Agriculture. IEEE Access. 11. 83752–83762. 36 indexed citations
10.
Quỳnh, Anh Nguyễn, et al.. (2023). Classifying Rice Bacterial Panicle Blight by Combining YOLOv5 Model and Convolutional Neural Network. 172–176. 2 indexed citations
11.
Tran, Hoang Ngoc, et al.. (2023). Implementing VIETGAP Standard Based Shrimp Management System using Waterfall Model. 7–14. 1 indexed citations
12.
Tran, Hoang Ngoc, et al.. (2023). Combining Autoencoder and Yolov6 Model for Classification and Disease Detection in Chickens. 132–138. 4 indexed citations
13.
Quach, Luyl-Da, et al.. (2023). Ensemble of Deep Learning Models for Multi-plant Disease Classification in Smart Farming. International Journal of Advanced Computer Science and Applications. 14(5). 18 indexed citations
14.
Tran, Hoang Ngoc, et al.. (2023). Efficient Evaluation of SLAM Methods and Integration of Human Detection with YOLO Based on Multiple Optimization in ROS2. International Journal of Advanced Computer Science and Applications. 14(11). 5 indexed citations
15.
Tran, Hoang Ngoc, et al.. (2023). An Approach to Hyperparameter Tuning in Transfer Learning for Driver Drowsiness Detection Based on Bayesian Optimization and Random Search. International Journal of Advanced Computer Science and Applications. 14(4). 14 indexed citations
16.
Quach, Luyl-Da, et al.. (2023). Fine-Tuning Deep Neural Networks and SVM to improve Vietnamese Herbal Medicine Classification. 199–202. 1 indexed citations
17.
Tran, Hoang Ngoc, et al.. (2023). An Improved Lane-Keeping Controller for Autonomous Vehicles Leveraging an Integrated CNN-LSTM Approach. International Journal of Advanced Computer Science and Applications. 14(7). 1 indexed citations
18.
Quach, Luyl-Da, et al.. (2023). Using the Term Frequency-Inverse Document Frequency for the Problem of Identifying Shrimp Diseases with State Description Text. International Journal of Advanced Computer Science and Applications. 14(5). 5 indexed citations
19.
Quach, Luyl-Da, et al.. (2020). Using SURF to Improve ResNet-50 Model for Poultry Disease Recognition Algorithm. 317–321. 16 indexed citations
20.
Duong‐Trung, Nghia, Luyl-Da Quach, & Chi-Ngon Nguyen. (2020). Towards Classification of Shrimp Diseases Using Transferred Convolutional Neural Networks. Advances in Science Technology and Engineering Systems Journal. 5(4). 724–732. 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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