Sion Jang

About

Sion Jang is a scholar working on Artificial Intelligence, Materials Chemistry and Information Systems. According to data from OpenAlex, Sion Jang has authored 4 papers receiving a total of 205 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Materials Chemistry and 1 paper in Information Systems. Recurrent topics in Sion Jang’s work include Topic Modeling (3 papers), Advanced Graph Neural Networks (1 paper) and Intellectual Property and Patents (1 paper). Sion Jang is often cited by papers focused on Topic Modeling (3 papers), Advanced Graph Neural Networks (1 paper) and Intellectual Property and Patents (1 paper). Sion Jang collaborates with scholars based in South Korea. Sion Jang's co-authors include Sungchul Choi, Eunjeong Park, Jaeyoung Kim, Jaewoong Choi, Janghyeok Yoon and Jaeyoung Kim and has published in prestigious journals such as Neurocomputing, Scientometrics and Findings of the Association for Computational Linguistics: ACL 2022.

In The Last Decade

Co-authorship network of co-authors of Sion Jang i

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Fields of papers citing papers by Sion Jang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sion Jang

Since Specialization

Citations

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