JungHwan Yang

1.8k total citations
27 papers, 1.0k citations indexed

About

JungHwan Yang is a scholar working on Communication, Artificial Intelligence and Political Science and International Relations. According to data from OpenAlex, JungHwan Yang has authored 27 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Communication, 10 papers in Artificial Intelligence and 8 papers in Political Science and International Relations. Recurrent topics in JungHwan Yang's work include Social Media and Politics (22 papers), Hate Speech and Cyberbullying Detection (10 papers) and Electoral Systems and Political Participation (7 papers). JungHwan Yang is often cited by papers focused on Social Media and Politics (22 papers), Hate Speech and Cyberbullying Detection (10 papers) and Electoral Systems and Political Participation (7 papers). JungHwan Yang collaborates with scholars based in United States, Germany and South Korea. JungHwan Yang's co-authors include Franziska Keller, David Schoch, Sebastian Stier, Dhavan V. Shah, Jon Pevehouse, Hernando Rojas, Josephine Lukito, Ayellet Pelled, Chris Wells and Pablo Barberá and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

JungHwan Yang

25 papers receiving 947 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
JungHwan Yang United States 14 694 609 214 214 135 27 1.0k
Alberto Ardèvol‐Abreu Spain 15 1.1k 1.5× 926 1.5× 160 0.7× 186 0.9× 128 0.9× 39 1.4k
Alexandra Siegel United States 11 616 0.9× 769 1.3× 219 1.0× 304 1.4× 123 0.9× 20 1.1k
Maurice Vergeer Netherlands 17 805 1.2× 499 0.8× 269 1.3× 139 0.6× 107 0.8× 37 1.1k
Friedolin Merhout United States 7 650 0.9× 764 1.3× 209 1.0× 204 1.0× 275 2.0× 8 1.1k
Guido Legnante Italy 7 875 1.3× 707 1.2× 261 1.2× 123 0.6× 45 0.3× 32 1.2k
Lauren Guggenheim United States 7 496 0.7× 433 0.7× 93 0.4× 66 0.3× 110 0.8× 10 800
Rosanne M. Scholl United States 7 795 1.1× 755 1.2× 106 0.5× 117 0.5× 122 0.9× 9 1.1k
David Karpf United States 13 762 1.1× 469 0.8× 296 1.4× 124 0.6× 101 0.7× 28 994
Sharon Meraz United States 9 805 1.2× 536 0.9× 116 0.5× 100 0.5× 124 0.9× 15 1.1k
Josephine Lukito United States 15 624 0.9× 598 1.0× 206 1.0× 209 1.0× 89 0.7× 42 956

Countries citing papers authored by JungHwan Yang

Since Specialization
Citations

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

Fields of papers citing papers by JungHwan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of JungHwan Yang

This figure shows the co-authorship network connecting the top 25 collaborators of JungHwan Yang. A scholar is included among the top collaborators of JungHwan Yang 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 JungHwan Yang. JungHwan Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Munzert, Simon, et al.. (2025). Citizen preferences for online hate speech regulation. PNAS Nexus. 4(2). pgaf032–pgaf032. 2 indexed citations
2.
Samory, Mattia, et al.. (2024). Analyzing Support for U.S. Presidential Candidates in Twitter Polls. SHILAP Revista de lepidopterología. 4.
3.
4.
Munzert, Simon, et al.. (2022). Who's cheating on your survey? A detection approach with digital trace data. Political Science Research and Methods. 12(2). 390–398. 2 indexed citations
5.
Schoch, David, Franziska Keller, Sebastian Stier, & JungHwan Yang. (2022). Coordination patterns reveal online political astroturfing across the world. Scientific Reports. 12(1). 20 indexed citations
6.
Guess, Andrew M., Pablo Barberá, Simon Munzert, & JungHwan Yang. (2021). The consequences of online partisan media. Proceedings of the National Academy of Sciences. 118(14). 91 indexed citations
7.
Munzert, Simon, Pablo Barberá, Andrew M. Guess, & JungHwan Yang. (2020). Do Online Voter Guides Empower Citizens?. Public Opinion Quarterly. 84(3). 675–698. 21 indexed citations
8.
9.
Domahidi, Emese, et al.. (2019). Computational Communication Science | Outlining the Way Ahead in Computational Communication Science: An Introduction to the IJoC Special Section on “Computational Methods for Communication Science: Toward a Strategic Roadmap”. SHILAP Revista de lepidopterología. 13. 9. 3 indexed citations
10.
Yang, JungHwan & Young Mie Kim. (2017). Equalization or normalization? Voter–candidate engagement on Twitter in the 2010 U.S. midterm elections. Journal of Information Technology & Politics. 14(3). 232–247. 25 indexed citations
11.
Keller, Franziska, David Schoch, Sebastian Stier, & JungHwan Yang. (2017). How to Manipulate Social Media: Analyzing Political Astroturfing Using Ground Truth Data from South Korea. Proceedings of the International AAAI Conference on Web and Social Media. 11(1). 564–567. 34 indexed citations
12.
Yoo, Woohyun, JungHwan Yang, & Eunji Cho. (2016). How social media influence college students’ smoking attitudes and intentions. Computers in Human Behavior. 64. 173–182. 60 indexed citations
13.
Yang, JungHwan, Matthew Barnidge, & Hernando Rojas. (2016). The politics of “Unfriending”: User filtration in response to political disagreement on social media. Computers in Human Behavior. 70. 22–29. 77 indexed citations
14.
Bode, Leticia, Emily K. Vraga, JungHwan Yang, et al.. (2016). Political engagement within parent-child dyads: Rethinking the transmission model of socialization in digital media environments. 127–144. 1 indexed citations
15.
Shah, Dhavan V., Alex Hanna, Erik P. Bucy, et al.. (2016). Dual Screening During Presidential Debates. American Behavioral Scientist. 60(14). 1816–1843. 35 indexed citations
16.
Yang, JungHwan, Hernando Rojas, Magdalena Wojcieszak, et al.. (2016). Why Are “Others” So Polarized? Perceived Political Polarization and Media Use in 10 Countries. Journal of Computer-Mediated Communication. 21(5). 349–367. 89 indexed citations
17.
McLaughlin, Bryan, JungHwan Yang, Woohyun Yoo, et al.. (2015). The Effects of Expressing Religious Support Online for Breast Cancer Patients. Health Communication. 31(6). 762–771. 8 indexed citations
18.
Bode, Leticia, et al.. (2015). Candidate Networks, Citizen Clusters, and Political Expression. The Annals of the American Academy of Political and Social Science. 659(1). 149–165. 65 indexed citations
19.
Yoo, Woohyun, Ming‐Yuan Chih, JungHwan Yang, et al.. (2012). Predictors of the change in the expression of emotional support within an online breast cancer support group: A longitudinal study. Patient Education and Counseling. 90(1). 88–95. 23 indexed citations
20.
Bode, Leticia, et al.. (2011). Mapping the Political Twitterverse: Finding Connections Between Political Elites. OpenSIUC (Southern Illinois University Carbondale). 9 indexed citations

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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