Tai Vovan

882 total citations
57 papers, 552 citations indexed

About

Tai Vovan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Tai Vovan has authored 57 papers receiving a total of 552 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 24 papers in Computer Vision and Pattern Recognition and 18 papers in Management Science and Operations Research. Recurrent topics in Tai Vovan's work include Advanced Clustering Algorithms Research (21 papers), Stock Market Forecasting Methods (16 papers) and Face and Expression Recognition (13 papers). Tai Vovan is often cited by papers focused on Advanced Clustering Algorithms Research (21 papers), Stock Market Forecasting Methods (16 papers) and Face and Expression Recognition (13 papers). Tai Vovan collaborates with scholars based in Vietnam, South Korea and Canada. Tai Vovan's co-authors include Thao Nguyen‐Trang, T. Pham‐Gia, N. Turkkan, T. Nguyen‐Thoi, T. Vo-Duy and V. Ho-Huu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Soft Computing and Knowledge-Based Systems.

In The Last Decade

Tai Vovan

51 papers receiving 536 citations

Peers

Tai Vovan
Tai Vovan
Citations per year, relative to Tai Vovan Tai Vovan (= 1×) peers Marzieh Zarinbal

Countries citing papers authored by Tai Vovan

Since Specialization
Citations

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

Fields of papers citing papers by Tai Vovan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tai Vovan

This figure shows the co-authorship network connecting the top 25 collaborators of Tai Vovan. A scholar is included among the top collaborators of Tai Vovan 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 Tai Vovan. Tai Vovan 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
2.
Vovan, Tai, et al.. (2025). Developing a forecasting model for time series based on clustering and deep learning algorithms. Applied Soft Computing. 174. 112977–112977.
3.
Vovan, Tai, et al.. (2024). Classifying for interval and applying for image based on the extracted texture feature. Granular Computing. 9(2). 1 indexed citations
4.
Vovan, Tai, et al.. (2024). A supervised learning algorithm based on the quasi-Bayesian method for the probability density functions and application for medical data. Knowledge-Based Systems. 299. 112003–112003. 1 indexed citations
5.
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
6.
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
7.
Vovan, Tai, et al.. (2023). Multi-class classification using a new Bayesian method. Model Assisted Statistics and Applications. 18(3). 257–266. 1 indexed citations
8.
Vovan, Tai. (2023). Building the forecasting model for interval time series based on the fuzzy clustering technique. Granular Computing. 8(6). 1341–1357. 7 indexed citations
9.
Vovan, Tai, et al.. (2023). Fuzzy cluster analysis algorithm for image data based on the extracted feature intervals. Granular Computing. 8(6). 2067–2081. 12 indexed citations
10.
Vovan, Tai, et al.. (2022). Building the Forecasting Model for Time Series Based on the Improved Fuzzy Relationship for Variation of Data. International Journal of Computational Intelligence and Applications. 21(4). 12 indexed citations
11.
Vovan, Tai, et al.. (2022). Automatic fuzzy clustering for probability density functions using the genetic algorithm. Neural Computing and Applications. 34(17). 14609–14625. 3 indexed citations
12.
Vovan, Tai, et al.. (2021). Building fuzzy time series model from unsupervised learning technique and genetic algorithm. Neural Computing and Applications. 35(10). 7235–7252. 11 indexed citations
13.
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
14.
Vovan, Tai, et al.. (2019). Automatic genetic algorithm in clustering for discrete elements. Communications in Statistics - Simulation and Computation. 1–16. 11 indexed citations
15.
Vovan, Tai. (2019). Cluster Width of probability Density functions. Intelligent Data Analysis. 23(2). 385–405. 5 indexed citations
16.
Vovan, Tai, et al.. (2019). A New Fuzzy Time Series Model Based on Cluster Analysis Problem. International Journal of Fuzzy Systems. 21(3). 852–864. 26 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.
Vovan, Tai & Thao Nguyen‐Trang. (2017). Similar coefficient for cluster of probability density functions. Communication in Statistics- Theory and Methods. 47(8). 1792–1811. 19 indexed citations
19.
Vovan, Tai. (2016). L1-distance and classification problem by Bayesian method. Journal of Applied Statistics. 44(3). 385–401. 25 indexed citations
20.
Pham‐Gia, T., N. Turkkan, & Tai Vovan. (2008). Statistical Discrimination Analysis Using the Maximum Function. Communications in Statistics - Simulation and Computation. 37(2). 320–336. 41 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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