Tan-Ha Mai

2 papers and 205 indexed citations
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About

Tan-Ha Mai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and General Agricultural and Biological Sciences. According to data from OpenAlex, Tan-Ha Mai has authored 2 papers receiving a total of 205 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 0 papers in General Agricultural and Biological Sciences. Recurrent topics in Tan-Ha Mai’s work include Handwritten Text Recognition Techniques (2 papers), Machine Learning and Algorithms (2 papers) and Image and Object Detection Techniques (1 paper). Tan-Ha Mai is often cited by papers focused on Handwritten Text Recognition Techniques (2 papers), Machine Learning and Algorithms (2 papers) and Image and Object Detection Techniques (1 paper). Tan-Ha Mai collaborates with scholars based in Canada. Tan-Ha Mai's co-authors include Ching Y. Suen, C. Nadal, Louisa Lam and R. Legault and has published in prestigious journals such as Proceedings of the IEEE and IEEE Transactions on Systems Man and Cybernetics.

In The Last Decade

Co-authorship network of co-authors of Tan-Ha Mai

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

Tan-Ha Mai

2 papers receiving 184 citations

Fields of papers citing papers by Tan-Ha Mai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tan-Ha Mai. 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 Tan-Ha Mai. The network helps show where Tan-Ha Mai may publish in the future.

Countries citing papers authored by Tan-Ha Mai

Since Specialization
Citations

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

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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