Linh Le

822 total citations
21 papers, 214 citations indexed

About

Linh Le is a scholar working on Artificial Intelligence, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Linh Le has authored 21 papers receiving a total of 214 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 6 papers in Biomedical Engineering and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Linh Le's work include Machine Learning and Data Classification (3 papers), Advanced Sensor and Energy Harvesting Materials (3 papers) and Online Learning and Analytics (2 papers). Linh Le is often cited by papers focused on Machine Learning and Data Classification (3 papers), Advanced Sensor and Energy Harvesting Materials (3 papers) and Online Learning and Analytics (2 papers). Linh Le collaborates with scholars based in United States, Vietnam and Japan. Linh Le's co-authors include Tu N. Nguyen, Ha Q. Nguyen, Hieu H. Pham, Hieu Nguyen, Van Vu, Minh Quang Dao, Khanh Lam, Ying Xie, Chao Liu and Jennifer Priestley and has published in prestigious journals such as IEEE Access, IEEE Transactions on Intelligent Transportation Systems and Cancers.

In The Last Decade

Linh Le

19 papers receiving 203 citations

Peers

Linh Le
David A. Mong United States
Yuan Sui China
Hieu H. Pham Vietnam
Jonas Pfeiffer Germany
P. Malin Bruntha India
Xuechun Wang China
Shubham Sharma India
Jie Tian China
Kumar Ayush India
David A. Mong United States
Linh Le
Citations per year, relative to Linh Le Linh Le (= 1×) peers David A. Mong

Countries citing papers authored by Linh Le

Since Specialization
Citations

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

Fields of papers citing papers by Linh Le

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linh Le

This figure shows the co-authorship network connecting the top 25 collaborators of Linh Le. A scholar is included among the top collaborators of Linh 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 Linh Le. Linh 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.
White, Joseph P., et al.. (2025). A Target Permutation Test for Statistical Significance of Feature Importance in Differentiable Models. Electronics. 14(3). 571–571. 2 indexed citations
2.
Le, Ngoan Tran, Linh Le, Hang Viet Dao, et al.. (2024). Factors Affecting Cancer Mortality in Young Adults: Findings from a Prospective Cohort Study. Cancers. 16(22). 3853–3853. 2 indexed citations
3.
Le, Linh, et al.. (2024). A Metric-Based Detection System for Large Language Model Texts. ACM Transactions on Management Information Systems. 16(1). 1–19.
4.
Nguyen, Hieu, Ha Q. Nguyen, Hieu H. Pham, et al.. (2023). VinDr-Mammo: A large-scale benchmark dataset for computer-aided diagnosis in full-field digital mammography. Scientific Data. 10(1). 277–277. 68 indexed citations
5.
Le, Linh, et al.. (2023). Integrated Educational Technology in Teaching Anatomy Using the ASIC Framework: A Case Study from VinUniversity. Advances in Medical Education and Practice. Volume 14. 669–681. 11 indexed citations
6.
Le, Linh, et al.. (2022). 5G network slicing and drone-assisted applications. 109–114. 2 indexed citations
7.
Le, Linh & Tu N. Nguyen. (2022). DQRA: Deep Quantum Routing Agent for Entanglement Routing in Quantum Networks. IEEE Transactions on Quantum Engineering. 3. 1–12. 31 indexed citations
8.
Pham, Hieu H., Ha Q. Nguyen, Hieu Nguyen, Linh Le, & Khanh Lam. (2022). An Accurate and Explainable Deep Learning System Improves Interobserver Agreement in the Interpretation of Chest Radiograph. IEEE Access. 10. 104512–104531. 10 indexed citations
9.
Nguyen, Tu N., et al.. (2021). An Efficient Hybrid Webshell Detection Method for Webserver of Marine Transportation Systems. IEEE Transactions on Intelligent Transportation Systems. 1–13. 17 indexed citations
10.
Li, Lei, et al.. (2021). Retrieving and Classifying LinkedIn Job Titles for Alumni Career Analysis. 85–90. 2 indexed citations
11.
Pham-Nguyen, Loan, et al.. (2021). Wireless Wearable ElectroMyography Acquisition System Utilizing Reduced-Graphene-Oxide Based Sensor. 7. 302–306. 1 indexed citations
12.
Le, Linh, Ying Xie, & Vijay V. Raghavan. (2021). KNN Loss and Deep KNN. Fundamenta Informaticae. 182(2). 95–110. 8 indexed citations
13.
14.
Le, Linh, et al.. (2021). Analysis of Students’ Concentration Levels for Online Learning Using Webcam Feeds. 2021 IEEE International Conference on Big Data (Big Data). 5517–5523. 1 indexed citations
15.
He, Yilin, et al.. (2019). ElectroMyography Acquisition System Using Graphene-based e-Textiles. 59–62. 10 indexed citations
16.
Le, Linh, Ying Xie, & Vijay V. Raghavan. (2018). Deep Similarity-Enhanced K Nearest Neighbors. 2. 2643–2650. 5 indexed citations
17.
Le, Linh & Ying Xie. (2018). Recurrent Embedding Kernel for Predicting Stock Daily Direction. 4 indexed citations
18.
Xie, Ying, Linh Le, & Jie Hao. (2017). Unsupervised deep kernel for high dimensional data. v. 294–299. 1 indexed citations
19.
Xie, Ying, et al.. (2016). Visualization of big high dimensional data in a three dimensional space. 61–66. 2 indexed citations
20.
Le, Linh, Jie Hao, Ying Xie, & Jennifer Priestley. (2016). Deep kernel. 1–7. 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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2026