Sejeong Kwon

2.4k total citations · 3 hit papers
11 papers, 1.5k citations indexed

About

Sejeong Kwon is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Sejeong Kwon has authored 11 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Statistical and Nonlinear Physics, 5 papers in Artificial Intelligence and 4 papers in Sociology and Political Science. Recurrent topics in Sejeong Kwon's work include Complex Network Analysis Techniques (5 papers), Misinformation and Its Impacts (4 papers) and Opinion Dynamics and Social Influence (3 papers). Sejeong Kwon is often cited by papers focused on Complex Network Analysis Techniques (5 papers), Misinformation and Its Impacts (4 papers) and Opinion Dynamics and Social Influence (3 papers). Sejeong Kwon collaborates with scholars based in South Korea, Qatar and United States. Sejeong Kwon's co-authors include Meeyoung Cha, Kyomin Jung, Wei Chen, Yajun Wang, Jing Ma, Wei Gao, Kam‐Fai Wong, Bernard J. Jansen, Prasenjit Mitra and Jae-Gil Lee and has published in prestigious journals such as PLoS ONE, Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University) and Proceedings of the International AAAI Conference on Web and Social Media.

In The Last Decade

Sejeong Kwon

9 papers receiving 1.4k citations

Hit Papers

Detecting rumors from microblogs with recurrent neural ne... 2013 2026 2017 2021 2016 2013 2017 200 400 600

Peers

Sejeong Kwon
Comparison fields: 5 of 72
  • Sociology and Political Science 1.3k
  • Information Systems 770
  • Artificial Intelligence 763
  • Statistical and Nonlinear Physics 625
  • Signal Processing 161
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Citations per field, relative to Sejeong Kwon
Sejeong Kwon · 1×
Citations per year, relative to Sejeong Kwon
Sejeong Kwon · 1×

Countries citing papers authored by Sejeong Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Sejeong Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sejeong Kwon

This figure shows the co-authorship network connecting the top 25 collaborators of Sejeong Kwon. A scholar is included among the top collaborators of Sejeong Kwon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sejeong Kwon. Sejeong Kwon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
# Work Indexed citations
1 13
2 0
3
A Study on the Place Attachment Depending on Characteristics for Attracting Amateur Golfer to Golf Course
0
4 2
5
Rumor Detection over Varying Time Windows breakdown →
235
6 17
7
Detecting rumors from microblogs with recurrent neural networks breakdown →
607
8 1
9 17
10 62
11
Prominent Features of Rumor Propagation in Online Social Media breakdown →
544

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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2026