Binh Tran

1.6k total citations
26 papers, 979 citations indexed

About

Binh Tran is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Binh Tran has authored 26 papers receiving a total of 979 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Molecular Biology. Recurrent topics in Binh Tran's work include Metaheuristic Optimization Algorithms Research (9 papers), Evolutionary Algorithms and Applications (9 papers) and Machine Learning and Data Classification (6 papers). Binh Tran is often cited by papers focused on Metaheuristic Optimization Algorithms Research (9 papers), Evolutionary Algorithms and Applications (9 papers) and Machine Learning and Data Classification (6 papers). Binh Tran collaborates with scholars based in Australia, New Zealand and Vietnam. Binh Tran's co-authors include Bing Xue, Mengjie Zhang, Jun Zhang, Yanan Sun, Ying Bi, Qi Chen, Yi Mei, Andrew Lensen, Harith Al-Sahaf and Su Nguyen and has published in prestigious journals such as International Journal of Molecular Sciences, IEEE Access and Sensors.

In The Last Decade

Binh Tran

22 papers receiving 957 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Binh Tran Australia 11 691 224 175 99 66 26 979
Manosij Ghosh India 15 727 1.1× 164 0.7× 368 2.1× 169 1.7× 64 1.0× 21 1.2k
Xianfang Song China 11 854 1.2× 251 1.1× 320 1.8× 86 0.9× 103 1.6× 18 1.2k
Olaide N. Oyelade Nigeria 17 652 0.9× 113 0.5× 213 1.2× 59 0.6× 55 0.8× 40 1.1k
Qing-Hua Ling China 16 686 1.0× 228 1.0× 244 1.4× 107 1.1× 113 1.7× 51 1.1k
Hassan Shaban Egypt 10 564 0.8× 221 1.0× 194 1.1× 67 0.7× 96 1.5× 19 1.0k
Aaron Klein Germany 8 753 1.1× 129 0.6× 236 1.3× 39 0.4× 56 0.8× 25 1.2k
Prachi Agrawal India 12 529 0.8× 158 0.7× 220 1.3× 30 0.3× 87 1.3× 39 967
Matthias Feurer Germany 6 651 0.9× 123 0.5× 128 0.7× 36 0.4× 48 0.7× 9 1.0k
Seyed Jalaleddin Mousavirad Iran 15 598 0.9× 223 1.0× 283 1.6× 29 0.3× 74 1.1× 105 1.0k
Changfei Tong China 9 635 0.9× 147 0.7× 126 0.7× 62 0.6× 108 1.6× 16 1.1k

Countries citing papers authored by Binh Tran

Since Specialization
Citations

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

Fields of papers citing papers by Binh Tran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Binh Tran

This figure shows the co-authorship network connecting the top 25 collaborators of Binh Tran. A scholar is included among the top collaborators of Binh Tran 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 Binh Tran. Binh Tran 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.
Tran, Binh, et al.. (2025). A Comprehensive Review on Stability Analysis of Hybrid Energy System. Sensors. 25(10). 2974–2974. 2 indexed citations
2.
Verma, Shrey, Ankush Sharma, Binh Tran, & Damminda Alahakoon. (2024). A systematic review of digital twins for electric vehicles. Journal of Traffic and Transportation Engineering (English Edition). 11(5). 815–834. 10 indexed citations
3.
Tran, Binh, et al.. (2024). Evolutionary Multi-Objective Optimisation for Fairness-Aware Self Adjusting Memory Classifiers in Data Streams. Proceedings of the Genetic and Evolutionary Computation Conference. 258–266.
4.
Tran, Binh, et al.. (2024). Fairness optimisation with multi-objective swarms for explainable classifiers on data streams. Complex & Intelligent Systems. 10(4). 4741–4754. 1 indexed citations
5.
Sharma, Ankush, et al.. (2024). Stability Analysis of Grid-Connected Microgrid Integrated with Biomass Plant. 1–5. 3 indexed citations
6.
Tran, Binh, et al.. (2023). Magnetic Frenet curves on para-Sasakian manifolds. Filomat. 37(5). 1479–1496.
7.
8.
Nguyen, Su & Binh Tran. (2021). XMAP: eXplainable mapping analytical process. Complex & Intelligent Systems. 8(2). 1187–1204. 3 indexed citations
9.
Tran, Binh, et al.. (2020). Swarm-Based Machine Learning Algorithm for Building Interpretable Classifiers. IEEE Access. 8. 228136–228150. 1 indexed citations
10.
Al-Sahaf, Harith, Ying Bi, Qi Chen, et al.. (2019). A survey on evolutionary machine learning. Journal of the Royal Society of New Zealand. 49(2). 205–228. 155 indexed citations
11.
Tran, Binh, Bing Xue, & Mengjie Zhang. (2019). Adaptive multi-subswarm optimisation for feature selection on high-dimensional classification. Proceedings of the Genetic and Evolutionary Computation Conference. 481–489. 18 indexed citations
12.
Tran, Binh, et al.. (2019). Fundamentals of Ethical Hacking and Penetration Testing. 149–150. 1 indexed citations
13.
Tran, Binh, Vo Phuoc Tuan, Hò Thị Dung, et al.. (2018). Molecular Epidemiology of Helicobacter pylori Infection in a Minor Ethnic Group of Vietnam: A Multiethnic, Population-Based Study. International Journal of Molecular Sciences. 19(3). 708–708. 21 indexed citations
14.
Tran, Binh, Bing Xue, & Mengjie Zhang. (2018). Variable-Length Particle Swarm Optimization for Feature Selection on High-Dimensional Classification. IEEE Transactions on Evolutionary Computation. 23(3). 473–487. 242 indexed citations
15.
Tran, Binh, Bing Xue, & Mengjie Zhang. (2017). A New Representation in PSO for Discretization-Based Feature Selection. IEEE Transactions on Cybernetics. 48(6). 1733–1746. 169 indexed citations
16.
Tran, Binh, Mengjie Zhang, & Bing Xue. (2016). A PSO based hybrid feature selection algorithm for high-dimensional classification. 3801–3808. 41 indexed citations
17.
Tran, Binh, Mengjie Zhang, & Bing Xue. (2016). Multiple feature construction in classification on high-dimensional data using GP. 1–8. 20 indexed citations
18.
Tran, Binh, Bing Xue, & Mengjie Zhang. (2015). Genetic programming for feature construction and selection in classification on high-dimensional data. Memetic Computing. 8(1). 3–15. 128 indexed citations
19.
Tuan, Nguyen Huy & Binh Tran. (2014). Two regularized solutions of an ill-posed problem for the elliptic equation with inhomogeneous source. Filomat. 28(10). 2091–2110. 3 indexed citations
20.
Lim, Samsung & Binh Tran. (2004). Convergence of Block Decorrelation Method for the Integer Ambiguity Fix. Journal of Global Positioning Systems. 3(1&2). 290–295. 1 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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