Ly Van Tran

538 total citations
10 papers, 320 citations indexed

About

Ly Van Tran is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Ly Van Tran has authored 10 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Control and Systems Engineering. Recurrent topics in Ly Van Tran's work include Metaheuristic Optimization Algorithms Research (2 papers), Smart Agriculture and AI (2 papers) and Spectroscopy and Chemometric Analyses (2 papers). Ly Van Tran is often cited by papers focused on Metaheuristic Optimization Algorithms Research (2 papers), Smart Agriculture and AI (2 papers) and Spectroscopy and Chemometric Analyses (2 papers). Ly Van Tran collaborates with scholars based in Vietnam and Taiwan. Ly Van Tran's co-authors include Son Vu Truong Dao, Tan Nhat Pham, Tuan Minh Le and Hung Thuan Tran and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Ly Van Tran

9 papers receiving 304 citations

Peers

Ly Van Tran

PS

AC

CN

AI

CVPR

Hua Yin China

Farruk Ahmed Bangladesh

Prerna Sharma India

Md Shofiqul Islam Bangladesh

Jinsong Leng China

R. Meena Prakash India

Manish Pandey India

Harjeet Singh India

Md Nahidul Islam Malaysia

Liyun Gong United Kingdom

Hua Yin China

Ly Van Tran

102 ×0.7

PS

36 ×0.5

AC

21 ×0.5

CN

53 ×1.5

AI

37 ×1.2

CVPR

Citations per year, relative to Ly Van Tran Ly Van Tran (= 1×) peers Hua Yin

Countries citing papers authored by Ly Van Tran

Since Specialization

Citations

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

Fields of papers citing papers by Ly Van Tran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ly Van Tran

This figure shows the co-authorship network connecting the top 25 collaborators of Ly Van Tran. A scholar is included among the top collaborators of Ly Van 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 Ly Van Tran. Ly Van Tran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Dao, Son Vu Truong, et al.. (2024). A hybrid metaheuristic algorithm for antimicrobial peptide toxicity prediction. Scientific Reports. 14(1). 28260–28260.

2.

Le, Tuan Minh, et al.. (2024). Novel Machine Learning Techniques for Classification of Rolling Bearings. IEEE Access. 12. 176863–176879. 5 indexed citations

3.

Tran, Ly Van, et al.. (2023). Intermediary RRT*-PSO: A Multi-Directional Hybrid Fast Convergence Sampling-Based Path Planning Algorithm. Computers, materials & continua/Computers, materials & continua (Print). 76(2). 2281–2300. 6 indexed citations

4.

Tran, Ly Van, et al.. (2022). Churn prediction in telecommunication industry using kernel Support Vector Machines. PLoS ONE. 17(5). e0267935–e0267935. 22 indexed citations

5.

Dao, Son Vu Truong, et al.. (2022). An Analysis of Vocal Features for Parkinson’s Disease Classification Using Evolutionary Algorithms. Diagnostics. 12(8). 1980–1980. 24 indexed citations

6.

Le, Tuan Minh, et al.. (2022). A Two-Stage Feature Selection Approach for Fruit Recognition Using Camera Images With Various Machine Learning Classifiers. IEEE Access. 10. 132260–132270. 15 indexed citations

7.

Tran, Ly Van, et al.. (2022). Application of Machine Learning in Epileptic Seizure Detection. Diagnostics. 12(11). 2879–2879. 46 indexed citations

8.

Pham, Tan Nhat, Ly Van Tran, & Son Vu Truong Dao. (2021). A Multi-Restart Dynamic Harris Hawk Optimization Algorithm for the Economic Load Dispatch Problem. IEEE Access. 9. 122180–122206. 4 indexed citations

9.

Le, Tuan Minh, Ly Van Tran, & Son Vu Truong Dao. (2021). A Feature Selection Approach for Fall Detection Using Various Machine Learning Classifiers. IEEE Access. 9. 115895–115908. 33 indexed citations

10.

Pham, Tan Nhat, Ly Van Tran, & Son Vu Truong Dao. (2020). Early Disease Classification of Mango Leaves Using Feed-Forward Neural Network and Hybrid Metaheuristic Feature Selection. IEEE Access. 8. 189960–189973. 165 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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