Sungyong Seo

About

Sungyong Seo is a scholar working on Sociology and Political Science, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Sungyong Seo has authored 8 papers receiving a total of 68 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Sociology and Political Science, 4 papers in Artificial Intelligence and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in Sungyong Seo’s work include Misinformation and Its Impacts (4 papers), Model Reduction and Neural Networks (2 papers) and Spam and Phishing Detection (2 papers). Sungyong Seo is often cited by papers focused on Misinformation and Its Impacts (4 papers), Model Reduction and Neural Networks (2 papers) and Spam and Phishing Detection (2 papers). Sungyong Seo collaborates with scholars based in United States and China. Sungyong Seo's co-authors include Chuizheng Meng, Karishma Sharma, Yan Liu, Sirisha Rambhatla, Yan Liu, Natali Ruchansky, Xinran He, Yan Liu, George Ban‐Weiss and Jon-Patrick Allem and has published in prestigious journals such as arXiv (Cornell University), International Conference on Learning Representations and Proceedings of the International AAAI Conference on Web and Social Media.

In The Last Decade

Co-authorship network of co-authors of Sungyong Seo i

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Fields of papers citing papers by Sungyong Seo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sungyong Seo

Since Specialization

Citations

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