Nguyen Van Thieu

975 total citations · 1 hit paper
34 papers, 634 citations indexed

About

Nguyen Van Thieu is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Nguyen Van Thieu has authored 34 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 9 papers in Computer Networks and Communications and 7 papers in Information Systems. Recurrent topics in Nguyen Van Thieu's work include Metaheuristic Optimization Algorithms Research (11 papers), Machine Learning and ELM (7 papers) and Neural Networks and Applications (5 papers). Nguyen Van Thieu is often cited by papers focused on Metaheuristic Optimization Algorithms Research (11 papers), Machine Learning and ELM (7 papers) and Neural Networks and Applications (5 papers). Nguyen Van Thieu collaborates with scholars based in Vietnam, Slovakia and Australia. Nguyen Van Thieu's co-authors include Seyedali Mirjalili, Binh Minh Nguyen, Giang Nguyen, Özgür Kişi, Ali Najah Ahmed, Ahmed El‐Shafie, Nguyễn Duy Hùng, Amai Mahesha, Hoang Nguyen and Stephen Morris and has published in prestigious journals such as Scientific Reports, Journal of Hydrology and IEEE Access.

In The Last Decade

Nguyen Van Thieu

30 papers receiving 588 citations

Hit Papers

MEALPY: An open-source li... 2023 2026 2024 2023 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nguyen Van Thieu Vietnam 13 253 110 92 74 61 34 634
Mohammed Gamal Ragab Malaysia 11 208 0.8× 92 0.8× 56 0.6× 45 0.6× 36 0.6× 22 644
Najmeh Sadat Jaddi Malaysia 11 303 1.2× 97 0.9× 51 0.6× 49 0.7× 91 1.5× 24 545
Alawi Alqushaibi Malaysia 12 269 1.1× 107 1.0× 54 0.6× 47 0.6× 59 1.0× 31 730
Diana Manjarrés Spain 12 229 0.9× 142 1.3× 36 0.4× 104 1.4× 120 2.0× 26 644
Zhongyang Han China 13 270 1.1× 198 1.8× 49 0.5× 42 0.6× 124 2.0× 35 867
Zhenxing Zhang United States 11 383 1.5× 221 2.0× 82 0.9× 59 0.8× 166 2.7× 24 1.1k
Qingjian Ni China 14 162 0.6× 148 1.3× 59 0.6× 159 2.1× 47 0.8× 33 537
Yuangang Li China 10 217 0.9× 44 0.4× 45 0.5× 48 0.6× 42 0.7× 26 505
Andrea Giordano Italy 13 91 0.4× 182 1.7× 74 0.8× 199 2.7× 58 1.0× 51 580

Countries citing papers authored by Nguyen Van Thieu

Since Specialization
Citations

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

Fields of papers citing papers by Nguyen Van Thieu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nguyen Van Thieu. 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 Nguyen Van Thieu. The network helps show where Nguyen Van Thieu may publish in the future.

Co-authorship network of co-authors of Nguyen Van Thieu

This figure shows the co-authorship network connecting the top 25 collaborators of Nguyen Van Thieu. A scholar is included among the top collaborators of Nguyen Van Thieu 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 Nguyen Van Thieu. Nguyen Van Thieu 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.
Thieu, Nguyen Van, et al.. (2025). MetaPerceptron: A standardized framework for metaheuristic-driven multi-layer perceptron optimization. Computer Standards & Interfaces. 93. 103977–103977. 5 indexed citations
2.
Ezugwu, Absalom E., et al.. (2025). Deep learning at the service of metaheuristics for solving numerical optimization problems. Neural Computing and Applications. 37(27). 22493–22528. 4 indexed citations
3.
Thieu, Nguyen Van, et al.. (2025). GrafoRVFL: A gradient-free optimization framework for boosting random vector functional link network. Neurocomputing. 651. 130898–130898.
4.
Thieu, Nguyen Van, Hoang Nguyen, Harish Garg, & Gia Sirbiladze. (2024). deforce: Derivative-free algorithms for optimizing Cascade Forward Neural Networks. Software Impacts. 21. 100675–100675. 3 indexed citations
5.
Nguyen, Hoang & Nguyen Van Thieu. (2024). Measurement and Prediction of Blast-Induced Flyrock Distance Using Unmanned Aerial Vehicles and Metaheuristic-Optimized ANFIS Neural Networks. Natural Resources Research. 34(2). 1169–1198. 3 indexed citations
6.
Nguyen, Van‐Dinh, et al.. (2024). Deadline-Aware Joint Task Scheduling and Offloading in Mobile-Edge Computing Systems. IEEE Internet of Things Journal. 11(20). 33282–33295.
7.
Tran, Chau, Nam H. Tran, Nguyen Van Thieu, et al.. (2024). A novel multi‐stage enrichment workflow and comprehensive characterization for HEK293F‐derived extracellular vesicles. Journal of Extracellular Vesicles. 13(5). e12454–e12454. 13 indexed citations
8.
Thieu, Nguyen Van, Ngoc Hung Nguyen, & Ali Asghar Heidari. (2024). Feature selection using metaheuristics made easy: Open source MAFESE library in Python. Future Generation Computer Systems. 160. 340–358. 7 indexed citations
9.
Thieu, Nguyen Van, et al.. (2024). Integrated metaheuristic algorithms with extreme learning machine models for river streamflow prediction. Scientific Reports. 14(1). 13597–13597. 12 indexed citations
10.
Thieu, Nguyen Van, Essam H. Houssein, Diego Oliva, & Nguyễn Duy Hùng. (2024). IntelELM: A python framework for intelligent metaheuristic-based extreme learning machine. Neurocomputing. 618. 129062–129062. 6 indexed citations
11.
Thieu, Nguyen Van & Seyedali Mirjalili. (2023). MEALPY: An open-source library for latest meta-heuristic algorithms in Python. Journal of Systems Architecture. 139. 102871–102871. 148 indexed citations breakdown →
12.
Thieu, Nguyen Van, Diego Oliva, & Marco Pérez‐Cisneros. (2023). MetaCluster: An open-source Python library for metaheuristic-based clustering problems. SoftwareX. 24. 101597–101597. 4 indexed citations
14.
Nguyen, Binh Minh, et al.. (2022). An Improved Sea Lion Optimization for Workload Elasticity Prediction with Neural Networks. International Journal of Computational Intelligence Systems. 15(1). 10 indexed citations
15.
Ahmed, Ali Najah, et al.. (2021). A comprehensive comparison of recent developed meta-heuristic algorithms for streamflow time series forecasting problem. Applied Soft Computing. 105. 107282–107282. 87 indexed citations
16.
Nguyen, Binh Minh, et al.. (2021). nQSV-Net: a novel queuing search variant for global space search and workload modeling. Journal of Ambient Intelligence and Humanized Computing. 12(1). 27–46. 15 indexed citations
17.
Nguyen, Binh Minh, et al.. (2021). MPoC - A Metaheuristic Proof of Criteria Consensus Protocol for Blockchain Network. 1–8. 3 indexed citations
18.
Thieu, Nguyen Van, Giang Nguyen, & Binh Minh Nguyen. (2020). EO-CNN: An Enhanced CNN Model Trained by Equilibrium Optimization for Traffic Transportation Prediction. Procedia Computer Science. 176. 800–809. 54 indexed citations
19.
Thieu, Nguyen Van, et al.. (2020). A New Workload Prediction Model Using Extreme Learning Machine and Enhanced Tug of War optimization. Procedia Computer Science. 170. 362–369. 28 indexed citations
20.
Morris, Stephen, Tatsuya Suda, & Nguyen Van Thieu. (1989). A tree LAN with collision avoidance: Photonic switch design and simulated performance. Computer Networks and ISDN Systems. 17(2). 89–100. 10 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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