In Seop Na

55 papers and 429 indexed citations i.

About

In Seop Na is a scholar working on Computer Vision and Pattern Recognition, Plant Science and Artificial Intelligence. According to data from OpenAlex, In Seop Na has authored 55 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 9 papers in Plant Science and 8 papers in Artificial Intelligence. Recurrent topics in In Seop Na’s work include Handwritten Text Recognition Techniques (13 papers), Image Retrieval and Classification Techniques (13 papers) and Smart Agriculture and AI (7 papers). In Seop Na is often cited by papers focused on Handwritten Text Recognition Techniques (13 papers), Image Retrieval and Classification Techniques (13 papers) and Smart Agriculture and AI (7 papers). In Seop Na collaborates with scholars based in South Korea, Vietnam and Saudi Arabia. In Seop Na's co-authors include Soo-Hyung Kim, Md Nasim Reza, Kyeong–Hwan Lee, Hyung-Jeong Yang, Guee-Sang Lee, Tuan Anh Tran, Myung‐Sun Kim, Sun‐Hee Kim, Soonja Yeom and Sang‐Heon Kim and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Computers and Electronics in Agriculture.

In The Last Decade

Co-authorship network of co-authors of In Seop Na i

Fields of papers citing papers by In Seop Na

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by In Seop Na. 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 In Seop Na. The network helps show where In Seop Na may publish in the future.

Countries citing papers authored by In Seop Na

Since Specialization
Citations

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