Nguyễn Long Giang

1.2k total citations
68 papers, 751 citations indexed

About

Nguyễn Long Giang is a scholar working on Computational Theory and Mathematics, Information Systems and Artificial Intelligence. According to data from OpenAlex, Nguyễn Long Giang has authored 68 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computational Theory and Mathematics, 26 papers in Information Systems and 22 papers in Artificial Intelligence. Recurrent topics in Nguyễn Long Giang's work include Rough Sets and Fuzzy Logic (27 papers), Data Mining Algorithms and Applications (21 papers) and Multi-Criteria Decision Making (11 papers). Nguyễn Long Giang is often cited by papers focused on Rough Sets and Fuzzy Logic (27 papers), Data Mining Algorithms and Applications (21 papers) and Multi-Criteria Decision Making (11 papers). Nguyễn Long Giang collaborates with scholars based in Vietnam, United States and Hungary. Nguyễn Long Giang's co-authors include Tu N. Nguyen, Lê Hoàng Sơn, Trần Mạnh Tuấn, Phu‐Hung Dinh, Trần Thị Ngân, Quoc-Dung Ngo, Mohamed Abdel‐Basset, Canh V. Pham, Victor Hugo C. de Albuquerque and Hoàng Việt Long and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Nguyễn Long Giang

54 papers receiving 700 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nguyễn Long Giang Vietnam 14 237 172 154 126 119 68 751
Yihua Chen China 8 259 1.1× 199 1.2× 119 0.8× 192 1.5× 65 0.5× 27 790
Honghui Xu United States 11 343 1.4× 80 0.5× 111 0.7× 111 0.9× 89 0.7× 22 808
J. Anuradha India 11 352 1.5× 176 1.0× 162 1.1× 79 0.6× 91 0.8× 31 942
Andrei Petrovski United Kingdom 13 443 1.9× 164 1.0× 262 1.7× 45 0.4× 156 1.3× 76 926
Micael Gallego Spain 15 184 0.8× 116 0.7× 217 1.4× 72 0.6× 58 0.5× 52 789
Zied Elouedi Tunisia 15 518 2.2× 195 1.1× 90 0.6× 183 1.5× 91 0.8× 64 883
Iffat A. Gheyas United Kingdom 7 364 1.5× 154 0.9× 68 0.4× 64 0.5× 74 0.6× 12 753
Habib Shah Saudi Arabia 19 344 1.5× 252 1.5× 194 1.3× 69 0.5× 50 0.4× 60 923
Arnaud Martin France 15 474 2.0× 129 0.8× 51 0.3× 185 1.5× 145 1.2× 51 881
Rafael Falcón Canada 16 451 1.9× 144 0.8× 206 1.3× 147 1.2× 96 0.8× 57 885

Countries citing papers authored by Nguyễn Long Giang

Since Specialization
Citations

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

Fields of papers citing papers by Nguyễn Long Giang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nguyễn Long Giang. 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 Nguyễn Long Giang. The network helps show where Nguyễn Long Giang may publish in the future.

Co-authorship network of co-authors of Nguyễn Long Giang

This figure shows the co-authorship network connecting the top 25 collaborators of Nguyễn Long Giang. A scholar is included among the top collaborators of Nguyễn Long Giang 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 Nguyễn Long Giang. Nguyễn Long Giang 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.
Nguyen, T.P., et al.. (2025). LW-UAV–YOLOv10: A lightweight model for small UAV detection on infrared data based on YOLOv10. GEOMATICA. 77(1). 100049–100049. 8 indexed citations
2.
Dinh, Phu‐Hung, et al.. (2025). An effective medical image fusion method utilizing moth-flame optimization and coupled neural P systems. Neural Computing and Applications. 37(16). 10037–10077. 2 indexed citations
3.
Nguyen, T.P., et al.. (2025). GAN-UAV-YOLOv10s: improved YOLOv10s network for detecting small UAV targets in mountainous conditions based on infrared image data. Neural Computing and Applications. 37(22). 17217–17229. 4 indexed citations
4.
Giang, Nguyễn Long, et al.. (2025). Efficient Method for Trademark Image Retrieval: Leveraging Siamese and Triplet Networks with Examination-Informed Loss Adjustment. Computers, materials & continua/Computers, materials & continua (Print). 84(1). 1203–1226. 2 indexed citations
5.
Sơn, Lê Hoàng, et al.. (2024). Incremental attribute reduction with α,β-level intuitionistic fuzzy sets. International Journal of Approximate Reasoning. 176. 109326–109326. 1 indexed citations
6.
Giang, Nguyễn Long, et al.. (2024). A new approach for attribute reduction from decision table based on intuitionistic fuzzy topology. Soft Computing. 28(20). 11799–11822.
7.
Thong, Nguyen Tho, et al.. (2024). A Complex Fuzzy LSTM Network for Temporal-Related Forecasting Problems. Computers, materials & continua/Computers, materials & continua (Print). 80(3). 4173–4196. 1 indexed citations
8.
Старовойтов, В. В., et al.. (2024). A Universal Field-of-View Mask Segmentation Method on Retinal Images From Fundus Cameras. IEEE Access. 12. 77092–77103. 1 indexed citations
9.
Thong, Nguyen Tho, et al.. (2024). An Efficient Solution for Multivariate Time Series Forecasting Based on a Stacked Complex Fuzzy Gated Recurrent Neural Network. IEEE Access. 12. 112936–112947. 1 indexed citations
10.
Dinh, Phu‐Hung, et al.. (2024). A new approach to medical image fusion based on the improved Extended difference-of-Gaussians combined with the Coati optimization algorithm. Biomedical Signal Processing and Control. 93. 106175–106175. 11 indexed citations
11.
Thong, Pham Huy, Florentín Smarandache, Trần Mạnh Tuấn, et al.. (2023). Picture-Neutrosophic Trusted Safe Semi-Supervised Fuzzy Clustering for Noisy Data. Computer Systems Science and Engineering. 46(2). 1981–1997.
12.
Giang, Nguyễn Long, et al.. (2023). A low-cost real-time IoT human activity recognition system based on wearable sensor and the supervised learning algorithms. Measurement. 218. 113231–113231. 15 indexed citations
13.
Panigrahi, Niranjan, et al.. (2023). Groundwater Quality Analysis and Drinkability Prediction using Artificial Intelligence. Earth Science Informatics. 16(2). 1701–1725. 13 indexed citations
14.
Ngân, Trần Thị, et al.. (2023). A hybrid of RainNet and genetic algorithm in nowcasting prediction. Earth Science Informatics. 16(4). 3885–3894.
15.
Nguyen, Duc V., et al.. (2021). MINAD: Multi-inputs Neural Network based on Application Structure for Android Malware Detection. Peer-to-Peer Networking and Applications. 15(1). 163–177. 7 indexed citations
16.
Nguyen, Tu N., et al.. (2020). A Novel Approach for Pivot-based Sensor Fusion of Small Satellites. Physical Communication. 45. 101261–101261. 13 indexed citations
17.
Tuan, Nguyen Anh & Nguyễn Long Giang. (2019). About a Distance Measure and Application for Finding Reduct in Incomplete Decision Tables. International Journal of Engineering and Advanced Technology. 9(1). 6294–6298.
18.
19.
Demetrovics, János, et al.. (2014). Metric based attribute reduction in dynamic desicion tables. SZTAKI Publication Repository (Hungarian Academy of Sciences).
20.
Giang, Nguyễn Long, et al.. (2012). A new method for attribute reduction to imcomplete decision table based on metric.. Journal of Computer Science and Cybernetics. 28(2).

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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