Thao Nguyen‐Trang

1.0k total citations
41 papers, 738 citations indexed

About

Thao Nguyen‐Trang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Thao Nguyen‐Trang has authored 41 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 7 papers in Management Science and Operations Research. Recurrent topics in Thao Nguyen‐Trang's work include Advanced Clustering Algorithms Research (12 papers), Face and Expression Recognition (8 papers) and Anomaly Detection Techniques and Applications (5 papers). Thao Nguyen‐Trang is often cited by papers focused on Advanced Clustering Algorithms Research (12 papers), Face and Expression Recognition (8 papers) and Anomaly Detection Techniques and Applications (5 papers). Thao Nguyen‐Trang collaborates with scholars based in Vietnam, South Korea and China. Thao Nguyen‐Trang's co-authors include Tai Vovan, T. Nguyen‐Thoi, V. Ho-Huu, T. Vo-Duy, Hoang Nguyen, Jian Zhou, Yosoon Choi, Xuan-Nam Bui, Muhammad Safdar Sial and L. Le-Anh and has published in prestigious journals such as PLoS ONE, Scientific Reports and Chemosphere.

In The Last Decade

Thao Nguyen‐Trang

38 papers receiving 712 citations

Peers

Thao Nguyen‐Trang
Sangeeta Pant India
Yong‐Huang Lin Taiwan
Suizhi Luo China
Lingling Li China
John D. Siirola United States
Neng Fan United States
S. Hr. Aghay Kaboli Malaysia
Celso Marcelo Franklin Lapa Brazil
Jianyu Wang China
Peng Wu China
Sangeeta Pant India
Thao Nguyen‐Trang
Citations per year, relative to Thao Nguyen‐Trang Thao Nguyen‐Trang (= 1×) peers Sangeeta Pant

Countries citing papers authored by Thao Nguyen‐Trang

Since Specialization
Citations

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

Fields of papers citing papers by Thao Nguyen‐Trang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thao Nguyen‐Trang. 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 Thao Nguyen‐Trang. The network helps show where Thao Nguyen‐Trang may publish in the future.

Co-authorship network of co-authors of Thao Nguyen‐Trang

This figure shows the co-authorship network connecting the top 25 collaborators of Thao Nguyen‐Trang. A scholar is included among the top collaborators of Thao Nguyen‐Trang 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 Thao Nguyen‐Trang. Thao Nguyen‐Trang 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
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Dao, Thanh-Phong, et al.. (2025). Behavior modeling for a new flexure-based mechanism by Hunger Game Search and physics-guided artificial neural network. Scientific Reports. 15(1). 2015–2015. 1 indexed citations
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Vu, Hai Canh, et al.. (2024). Unsupervised detecting anomalies in multivariate time series by Robust Convolutional LSTM Encoder–Decoder (RCLED). Neurocomputing. 592. 127791–127791. 3 indexed citations
5.
Dao, Thanh-Phong, et al.. (2024). Modeling Behaviors for a New Compliant Mechanism by Recursive Hierarchy of Random Forest Models. IEEE Access. 13. 2628–2637.
6.
Nguyen‐Trang, Thao, et al.. (2024). A new possibilistic-based clustering method for probability density functions and its application to detecting abnormal elements. Scientific Reports. 14(1). 17871–17871. 1 indexed citations
7.
Hoa, Ngo Van, et al.. (2024). Stabilization of impulsive fuzzy dynamic systems involving Caputo short-memory fractional derivative. Soft Computing. 29(1). 17–36. 1 indexed citations
8.
Nguyen‐Trang, Thao, et al.. (2024). A new semi-supervised clustering algorithm for probability density functions and applications. Neural Computing and Applications. 36(11). 5965–5980. 1 indexed citations
9.
Nguyen‐Trang, Thao, T. Nguyen‐Thoi, & Tai Vovan. (2023). Globally automatic fuzzy clustering for probability density functions and its application for image data. Applied Intelligence. 53(15). 18381–18397. 9 indexed citations
10.
Nguyen‐Trang, Thao, et al.. (2022). Profitability of Ichimoku-Based Trading Rule in Vietnam Stock Market in the Context of the COVID-19 Outbreak. Computational Economics. 62(4). 1781–1799. 3 indexed citations
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Vovan, Tai, et al.. (2021). A New Strategy for Short-Term Stock Investment Using Bayesian Approach. Computational Economics. 59(2). 887–911. 14 indexed citations
13.
Dao, Thanh-Phong, et al.. (2021). Prediction of Fatigue Life for a New 2-DOF Compliant Mechanism by Clustering-Based ANFIS Approach. Mathematical Problems in Engineering. 2021. 1–14. 9 indexed citations
14.
Cui, Xujian, Akhil Garg, Thao Nguyen‐Trang, & T. Nguyen‐Thoi. (2020). Machine learning approach for solving inconsistency problems of Li‐ion batteries during the manufacturing stage. International Journal of Energy Research. 44(11). 9194–9204. 10 indexed citations
15.
Cherian, Jacob, Muhammad Umar, Phung Anh Thu, et al.. (2019). Does Corporate Social Responsibility Affect the Financial Performance of the Manufacturing Sector? Evidence from an Emerging Economy. Sustainability. 11(4). 1182–1182. 61 indexed citations
16.
Nguyen‐Thoi, T., et al.. (2018). A Differential Evolution-Based Clustering for Probability Density Functions. IEEE Access. 6. 41325–41336. 11 indexed citations
17.
Vovan, Tai, et al.. (2018). Clustering for Probability Density Functions by New k-Medoids Method. Scientific Programming. 2018. 1–7. 6 indexed citations
18.
Ho-Huu, V., T. Nguyen‐Thoi, T. Vo-Duy, & Thao Nguyen‐Trang. (2016). An adaptive elitist differential evolution for optimization of truss structures with discrete design variables. Computers & Structures. 165. 59–75. 152 indexed citations
19.
Nguyen‐Trang, Thao, et al.. (2016). STUDENT PART-TIME EMPLOYMENT: CASE STUDY AT TON DUC THANG UNIVERSITY IN VIETNAM. ICERI proceedings. 1. 3193–3201. 2 indexed citations
20.
Ho-Huu, V., T. Nguyen‐Thoi, L. Le-Anh, & Thao Nguyen‐Trang. (2015). An effective reliability-based improved constrained differential evolution for reliability-based design optimization of truss structures. Advances in Engineering Software. 92. 48–56. 51 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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