Kaiping Chen

1.3k total citations
52 papers, 730 citations indexed

About

Kaiping Chen is a scholar working on Sociology and Political Science, Communication and Political Science and International Relations. According to data from OpenAlex, Kaiping Chen has authored 52 papers receiving a total of 730 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Sociology and Political Science, 27 papers in Communication and 10 papers in Political Science and International Relations. Recurrent topics in Kaiping Chen's work include Social Media and Politics (23 papers), Misinformation and Its Impacts (17 papers) and Climate Change Communication and Perception (13 papers). Kaiping Chen is often cited by papers focused on Social Media and Politics (23 papers), Misinformation and Its Impacts (17 papers) and Climate Change Communication and Perception (13 papers). Kaiping Chen collaborates with scholars based in United States, China and Singapore. Kaiping Chen's co-authors include Jennifer Pan, Tanja Aitamurto, Shelley Boulianne, Albert Meijer, Miriam Lips, Qin Li, Yuhao Kang, Jinmeng Rao, Song Gao and Nan Chen 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

Kaiping Chen

48 papers receiving 687 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kaiping Chen United States 15 373 246 123 104 79 52 730
Simon Munzert Germany 15 380 1.0× 208 0.8× 321 2.6× 110 1.1× 45 0.6× 34 782
Loni Hagen United States 12 331 0.9× 245 1.0× 106 0.9× 185 1.8× 20 0.3× 42 748
Jonathan Mellon United Kingdom 18 603 1.6× 310 1.3× 674 5.5× 112 1.1× 31 0.4× 72 1.4k
Jeffrey Morgan United Kingdom 9 407 1.1× 242 1.0× 56 0.5× 245 2.4× 13 0.2× 13 903
Emma S. Spiro United States 20 990 2.7× 686 2.8× 56 0.5× 260 2.5× 20 0.3× 58 1.5k
Chen Min China 11 395 1.1× 256 1.0× 64 0.5× 100 1.0× 100 1.3× 33 848
Fan Liang United States 10 287 0.8× 147 0.6× 123 1.0× 54 0.5× 22 0.3× 25 582
Adam Edwards United Kingdom 21 929 2.5× 310 1.3× 206 1.7× 266 2.6× 7 0.1× 57 1.4k
Kalev Leetaru United States 10 194 0.5× 155 0.6× 57 0.5× 87 0.8× 6 0.1× 26 644

Countries citing papers authored by Kaiping Chen

Since Specialization
Citations

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

Fields of papers citing papers by Kaiping Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaiping Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Kaiping Chen. A scholar is included among the top collaborators of Kaiping Chen 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 Kaiping Chen. Kaiping Chen 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.
Hu, Yibo, Xiaozhou Liao, Jisoo Kim, et al.. (2025). Constructing Vec-tionaries to Extract Message Features from Texts: A Case Study of Moral Content. Political Analysis. 33(4). 425–445. 1 indexed citations
2.
3.
Chen, Kaiping, et al.. (2024). Uncovering how Black and Latinx Communities perceive environmental justice: Integrating a public deliberation quasi-experiment and computational methods. Public Relations Review. 50(2). 102436–102436. 2 indexed citations
4.
Chen, Kaiping. (2024). Computational methods in Chinese Internet studies— An overview and looking ahead. Communication and the Public. 9(4). 371–377. 1 indexed citations
5.
Currano, Rebecca, et al.. (2024). Therapy for Therapists: Design Opportunities to Support the Psychological Well-being of Mental Health Workers. Proceedings of the ACM on Human-Computer Interaction. 8(CSCW2). 1–34. 1 indexed citations
6.
Waldherr, Annie, Matthew S. Weber, Shangyuan Wu, et al.. (2024). Between Innovation and Standardization: Best Practices and Inclusive Guidelines in Computational Communication Science. Journalism & Mass Communication Quarterly. 102(1). 13–36. 2 indexed citations
7.
Chen, Kaiping, et al.. (2024). Conversational AI and equity through assessing GPT-3’s communication with diverse social groups on contentious topics. Scientific Reports. 14(1). 1561–1561. 16 indexed citations
8.
Chen, Kaiping, et al.. (2023). Going Beyond Affective Polarization: How Emotions and Identities are Used in Anti-Vaccination TikTok Videos. Political Communication. 41(4). 588–607. 5 indexed citations
9.
Chen, Kaiping, et al.. (2023). Uncovering gender stereotypes in controversial science discourse: evidence from computational text and visual analyses across digital platforms. Journal of Computer-Mediated Communication. 29(1). 1 indexed citations
10.
Chen, Kaiping, et al.. (2023). Unraveling China’s digital traces: evaluating communication scholarship through a sociotechnical lens. Chinese Journal of Communication. 17(2). 127–150. 1 indexed citations
11.
Chen, Kaiping, et al.. (2022). The use of emotions in conspiracy and debunking videos to engage publics on YouTube. New Media & Society. 26(7). 3854–3875. 12 indexed citations
12.
Chen, Kaiping, et al.. (2022). How issue entrepreneurs shape public discourse of controversial science: examining GMO discussion on a popular Chinese Q&A platform. Journal of Science Communication. 21(6). A01–A01. 2 indexed citations
13.
Hou, Xiao Hua, Song Gao, Qin Li, et al.. (2021). Intracounty modeling of COVID-19 infection with human mobility: Assessing spatial heterogeneity with business traffic, age, and race. Proceedings of the National Academy of Sciences. 118(24). 101 indexed citations
14.
Chen, Kaiping & Michael Burgess. (2021). Narratives in Public Deliberation: Empowering Gene Editing Debate with Storytelling. The Hastings Center Report. 51(S2). S85–S91. 2 indexed citations
15.
Chen, Kaiping, et al.. (2021). Twitter as research data. Politics and the Life Sciences. 41(1). 114–130. 26 indexed citations
16.
Freiling, Isabelle, Nicole M. Krause, Dietram A. Scheufele, & Kaiping Chen. (2021). The Science of Open (Communication) Science: Toward an Evidence-Driven Understanding of Quality Criteria in Communication Research. Journal of Communication. 20 indexed citations
17.
Chen, Kaiping, Anfan Chen, Jingwen Zhang, Jingbo Meng, & Cuihua Shen. (2020). Conspiracy and debunking narratives about COVID-19 origins on Chinese social media: How it started and who is to blame. SHILAP Revista de lepidopterología. 30 indexed citations
18.
Meijer, Albert, Miriam Lips, & Kaiping Chen. (2019). Open Governance: A New Paradigm for Understanding Urban Governance in an Information Age. Frontiers in Sustainable Cities. 1. 40 indexed citations
19.
Aitamurto, Tanja, et al.. (2016). Civic CrowdAnalytics. Institutional Research Information System (Università degli Studi di Trento). 86–94. 13 indexed citations
20.
O’Halloran, Sharyn, et al.. (2015). Big Data and the Regulation of Financial Markets. 1118–1124. 8 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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