Minh Thanh Vo

1.5k total citations
20 papers, 675 citations indexed

About

Minh Thanh Vo is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Health Information Management. According to data from OpenAlex, Minh Thanh Vo has authored 20 papers receiving a total of 675 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Electrical and Electronic Engineering, 6 papers in Artificial Intelligence and 4 papers in Health Information Management. Recurrent topics in Minh Thanh Vo's work include Artificial Intelligence in Healthcare (4 papers), Imbalanced Data Classification Techniques (4 papers) and Air Quality Monitoring and Forecasting (3 papers). Minh Thanh Vo is often cited by papers focused on Artificial Intelligence in Healthcare (4 papers), Imbalanced Data Classification Techniques (4 papers) and Air Quality Monitoring and Forecasting (3 papers). Minh Thanh Vo collaborates with scholars based in Vietnam, South Korea and Canada. Minh Thanh Vo's co-authors include Tuong Le, Sung Wook Baik, Lê Hoàng Sơn, Anh H. Vo, Bay Vo, Seungmin Rho, Eenjun Hwang, Mi Young Lee, Tuan Minh Le and Tung Kieu and has published in prestigious journals such as IEEE Access, Sensors and Applied Sciences.

In The Last Decade

Minh Thanh Vo

20 papers receiving 635 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minh Thanh Vo Vietnam 11 237 203 132 97 68 20 675
Young Yoon South Korea 14 119 0.5× 121 0.6× 70 0.5× 194 2.0× 73 1.1× 56 664
Marco Vannucci Italy 15 86 0.4× 251 1.2× 67 0.5× 24 0.2× 70 1.0× 68 775
Nasir Ayub Pakistan 16 294 1.2× 203 1.0× 57 0.4× 71 0.7× 29 0.4× 52 657
Ahmed Saeed AlGhamdi Saudi Arabia 16 290 1.2× 154 0.8× 76 0.6× 48 0.5× 40 0.6× 49 888
B. T. Geetha India 10 150 0.6× 98 0.5× 68 0.5× 21 0.2× 72 1.1× 69 560
José Torres Farinha Portugal 16 90 0.4× 69 0.3× 92 0.7× 26 0.3× 32 0.5× 76 836
Ebenezer Esenogho South Africa 11 125 0.5× 295 1.5× 27 0.2× 59 0.6× 13 0.2× 33 648
Chao Mi China 15 86 0.4× 91 0.4× 91 0.7× 63 0.6× 70 1.0× 54 659
Md. Sakib Bin Alam Bangladesh 8 73 0.3× 194 1.0× 79 0.6× 19 0.2× 39 0.6× 20 731

Countries citing papers authored by Minh Thanh Vo

Since Specialization
Citations

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

Fields of papers citing papers by Minh Thanh Vo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Minh Thanh Vo. 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 Minh Thanh Vo. The network helps show where Minh Thanh Vo may publish in the future.

Co-authorship network of co-authors of Minh Thanh Vo

This figure shows the co-authorship network connecting the top 25 collaborators of Minh Thanh Vo. A scholar is included among the top collaborators of Minh Thanh Vo 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 Minh Thanh Vo. Minh Thanh Vo 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.
Vo, Minh Thanh, Anh H. Vo, Huong T. Bui, & Tuong Le. (2023). A Hybrid Deep Learning Approach for PM2.5 Concentration Prediction in Smart Environmental Monitoring. Intelligent Automation & Soft Computing. 36(3). 3029–3041. 2 indexed citations
3.
Vo, Minh Thanh, et al.. (2022). Predicting Monthly Household Water Consumption. 726–730. 2 indexed citations
4.
Vo, Minh Thanh, et al.. (2021). Dealing with the Class Imbalance Problem in the Detection of Fake Job Descriptions. Computers, materials & continua/Computers, materials & continua (Print). 68(1). 521–535. 15 indexed citations
5.
Vo, Minh Thanh, Anh H. Vo, & Tuong Le. (2021). A robust framework for shoulder implant X-ray image classification. Data Technologies and Applications. 56(3). 447–460. 8 indexed citations
6.
Le, Tuan Minh, Minh Thanh Vo, Nhat Tan Pham, & Son Vu Truong Dao. (2021). Predicting heart failure using a wrapper-based feature selection. Indonesian Journal of Electrical Engineering and Computer Science. 21(3). 1530–1530. 21 indexed citations
7.
Vo, Minh Thanh, et al.. (2021). Noise-adaptive synthetic oversampling technique. Applied Intelligence. 51(11). 7827–7836. 22 indexed citations
8.
Le, Tuan Minh, et al.. (2020). Predicting heart failure using deep neural network. 20 indexed citations
9.
Le, Tuong, Minh Thanh Vo, Tung Kieu, et al.. (2020). Multiple Electric Energy Consumption Forecasting Using a Cluster-Based Strategy for Transfer Learning in Smart Building. Sensors. 20(9). 2668–2668. 63 indexed citations
10.
Vo, Minh Thanh. (2020). Capital structure and cost of capital when prices affect real investments. Journal of Economics and Business. 113. 105944–105944. 10 indexed citations
12.
Vo, Minh Thanh, et al.. (2019). Robust Head Pose Estimation Using Extreme Gradient Boosting Machine on Stacked Autoencoders Neural Network. IEEE Access. 8. 3687–3694. 15 indexed citations
13.
Le, Tuong, Minh Thanh Vo, Bay Vo, et al.. (2019). Improving Electric Energy Consumption Prediction Using CNN and Bi-LSTM. Applied Sciences. 9(20). 4237–4237. 200 indexed citations
14.
15.
Vo, Anh H., Lê Hoàng Sơn, Minh Thanh Vo, & Tuong Le. (2019). A Novel Framework for Trash Classification Using Deep Transfer Learning. IEEE Access. 7. 178631–178639. 145 indexed citations
16.
Le, Tuong, Minh Thanh Vo, Bay Vo, Mi Young Lee, & Sung Wook Baik. (2019). A Hybrid Approach Using Oversampling Technique and Cost‐Sensitive Learning for Bankruptcy Prediction. Complexity. 2019(1). 60 indexed citations
17.
Le, Tuong, Lê Hoàng Sơn, Minh Thanh Vo, Mi Young Lee, & Sung Wook Baik. (2018). A Cluster-Based Boosting Algorithm for Bankruptcy Prediction in a Highly Imbalanced Dataset. Symmetry. 10(7). 250–250. 71 indexed citations
18.
19.
Le‐Ngoc, Tho, et al.. (2002). A gate-array-based programmable Reed-Solomon codec: structure-implementation-applications. 121–125. 1 indexed citations
20.
Le‐Ngoc, Tho & Minh Thanh Vo. (1989). Implementation and performance of the fast Hartley transform. IEEE Micro. 9(5). 20–27. 9 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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