Ukrit Watchareeruetai

13 papers and 69 indexed citations i.

About

Ukrit Watchareeruetai is a scholar working on Computer Vision and Pattern Recognition, Plant Science and Artificial Intelligence. According to data from OpenAlex, Ukrit Watchareeruetai has authored 13 papers receiving a total of 69 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 5 papers in Plant Science and 5 papers in Artificial Intelligence. Recurrent topics in Ukrit Watchareeruetai’s work include Smart Agriculture and AI (5 papers), Evolutionary Algorithms and Applications (3 papers) and Face recognition and analysis (2 papers). Ukrit Watchareeruetai is often cited by papers focused on Smart Agriculture and AI (5 papers), Evolutionary Algorithms and Applications (3 papers) and Face recognition and analysis (2 papers). Ukrit Watchareeruetai collaborates with scholars based in Thailand, Japan and United States. Ukrit Watchareeruetai's co-authors include Noboru Ohnishi, Tetsuya Matsumoto, Hiroaki Kudo, Yoshinori Takeuchi, Yoshinori Takeuchi, Aubin Samacoïts and Yoshinori Takeuchi and has published in prestigious journals such as IEEE Access, Machine Vision and Applications and Genetic Programming and Evolvable Machines.

In The Last Decade

Co-authorship network of co-authors of Ukrit Watchareeruetai i

Fields of papers citing papers by Ukrit Watchareeruetai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ukrit Watchareeruetai

Since Specialization
Citations

This map shows the geographic impact of Ukrit Watchareeruetai'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 Ukrit Watchareeruetai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ukrit Watchareeruetai 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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2025