Soyeon Caren Han

39 papers and 378 indexed citations i.

About

Soyeon Caren Han is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Soyeon Caren Han has authored 39 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 5 papers in Information Systems. Recurrent topics in Soyeon Caren Han’s work include Topic Modeling (12 papers), Multimodal Machine Learning Applications (7 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Soyeon Caren Han is often cited by papers focused on Topic Modeling (12 papers), Multimodal Machine Learning Applications (7 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Soyeon Caren Han collaborates with scholars based in Australia, South Korea and China. Soyeon Caren Han's co-authors include Josiah Poon, Byeong Ho Kang, Sungyoung Lee, Maqbool Ali, Jie Yang, Hafiz Syed Muhammad Bilal, Muhammad Asif Razzaq, Xiaojun Wan, Muhammad Bilal Amin and Jean Lee and has published in prestigious journals such as IEEE Access, ACM Computing Surveys and Neurocomputing.

In The Last Decade

Co-authorship network of co-authors of Soyeon Caren Han i

Fields of papers citing papers by Soyeon Caren Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Soyeon Caren Han. 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 Soyeon Caren Han. The network helps show where Soyeon Caren Han may publish in the future.

Countries citing papers authored by Soyeon Caren Han

Since Specialization
Citations

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