Tai‐Quan Peng

1.9k total citations
72 papers, 1.2k citations indexed

About

Tai‐Quan Peng is a scholar working on Sociology and Political Science, Communication and Statistical and Nonlinear Physics. According to data from OpenAlex, Tai‐Quan Peng has authored 72 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Sociology and Political Science, 24 papers in Communication and 22 papers in Statistical and Nonlinear Physics. Recurrent topics in Tai‐Quan Peng's work include Social Media and Politics (23 papers), Complex Network Analysis Techniques (19 papers) and Misinformation and Its Impacts (12 papers). Tai‐Quan Peng is often cited by papers focused on Social Media and Politics (23 papers), Complex Network Analysis Techniques (19 papers) and Misinformation and Its Impacts (12 papers). Tai‐Quan Peng collaborates with scholars based in United States, Hong Kong and China. Tai‐Quan Peng's co-authors include Jonathan J. H. Zhu, Lun Zhang, Wouter van Atteveldt, Xiaohui Wang, Liang Chen, Yingcai Wu, Shi‐Xia Liu, Jingyuan Shi, Guodao Sun and Yapeng Zhang and has published in prestigious journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Tai‐Quan Peng

65 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tai‐Quan Peng United States 18 523 312 231 225 181 72 1.2k
Jisun An Qatar 23 505 1.0× 351 1.1× 349 1.5× 142 0.6× 51 0.3× 83 1.6k
Brooke Foucault Welles United States 17 650 1.2× 768 2.5× 236 1.0× 139 0.6× 50 0.3× 46 1.6k
Feicheng Ma China 17 332 0.6× 148 0.5× 178 0.8× 112 0.5× 24 0.1× 81 1.0k
Anuška Ferligoj Slovenia 26 447 0.9× 130 0.4× 167 0.7× 527 2.3× 72 0.4× 67 1.6k
Steven R. Corman United States 18 466 0.9× 305 1.0× 137 0.6× 184 0.8× 98 0.5× 60 1.5k
Isabella Peters Germany 19 263 0.5× 241 0.8× 308 1.3× 171 0.8× 55 0.3× 71 1.6k
Björn Roß Germany 15 556 1.1× 302 1.0× 530 2.3× 142 0.6× 29 0.2× 47 1.3k
Alex Voß United Kingdom 15 527 1.0× 301 1.0× 183 0.8× 113 0.5× 33 0.2× 48 1.1k
Sebastian Stier Germany 21 949 1.8× 962 3.1× 308 1.3× 156 0.7× 33 0.2× 61 1.7k
Judith Möller Netherlands 16 733 1.4× 662 2.1× 237 1.0× 110 0.5× 20 0.1× 38 1.4k

Countries citing papers authored by Tai‐Quan Peng

Since Specialization
Citations

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

Fields of papers citing papers by Tai‐Quan Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tai‐Quan Peng. 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 Tai‐Quan Peng. The network helps show where Tai‐Quan Peng may publish in the future.

Co-authorship network of co-authors of Tai‐Quan Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Tai‐Quan Peng. A scholar is included among the top collaborators of Tai‐Quan Peng 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 Tai‐Quan Peng. Tai‐Quan Peng 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.
Zhu, Qinfeng, Tai‐Quan Peng, & Xinzhi Zhang. (2025). How Do Individual and Societal Factors Shape News Authentication? Comparing Misinformation Resilience Across Hong Kong, the Netherlands, and the United States. The International Journal of Press/Politics. 31(2). 497–519. 1 indexed citations
2.
Zhang, Xinzhi, Tai‐Quan Peng, & Qinfeng Zhu. (2025). Social Media Misinformation Wars: How Message Features, Political Cynicism, and Conspiracy Beliefs Shape Government-Led Public Health Debunking Effectiveness. Journalism & Mass Communication Quarterly. 103(1). 161–193. 1 indexed citations
3.
Tang, Tan, et al.. (2024). Blowing Seeds Across Gardens: Visualizing Implicit Propagation of Cross-Platform Social Media Posts. IEEE Transactions on Visualization and Computer Graphics. 31(1). 185–195.
5.
Chen, Christine Y., Alan Christoffels, Juan E. Gilbert, et al.. (2024). Increasing the presence of BIPOC researchers in computational science. Nature Computational Science. 4(9). 646–653.
7.
Yoon, Hyung-Ro, et al.. (2024). The Role of Collective Group Orientation and Social Norms on Physical Distancing Behaviors for Disease Prevention. Health Communication. 39(13). 3108–3121. 1 indexed citations
8.
Liang, Hai, et al.. (2023). The effect of affordance on deliberation when retweeting: From the perspective of expression effect. Computers in Human Behavior. 151. 108010–108010. 2 indexed citations
9.
Lee, Sanguk, et al.. (2021). Too stringent or too Lenient: Antecedents and consequences of perceived stringency of COVID-19 policies in the United States. SHILAP Revista de lepidopterología. 2. 100047–100047. 7 indexed citations
10.
Shi, Jingyuan, Xiaohui Wang, Tai‐Quan Peng, & Liang Chen. (2019). Cancer-prevention messages on Chinese social media: A content analysis grounded in the extended parallel process model and attribution theory. International journal of communication. 13. 1959–1976. 4 indexed citations
11.
Atteveldt, Wouter van & Tai‐Quan Peng. (2018). When Communication Meets Computation: Opportunities, Challenges, and Pitfalls in Computational Communication Science. Communication Methods and Measures. 12(2-3). 81–92. 114 indexed citations
12.
Wang, Xiaohui, Liang Chen, Jingyuan Shi, & Tai‐Quan Peng. (2018). What makes cancer information viral on social media?. Computers in Human Behavior. 93. 149–156. 71 indexed citations
13.
Zhu, Qinfeng, Marko M. Škorić, & Tai‐Quan Peng. (2018). Citizens' Use of the Internet and Public Service Delivery. Data Archiving and Networked Services (DANS). 5(3). 32–42. 1 indexed citations
14.
Yang, Xiaodong, et al.. (2017). Examining the effects of network externalities, density, and closure on in-game currency price in online games. Internet Research. 27(4). 924–941. 15 indexed citations
15.
Zhang, Lun, Lu Zheng, & Tai‐Quan Peng. (2017). Structurally embedded news consumption on mobile news applications. Information Processing & Management. 53(5). 1242–1253. 15 indexed citations
16.
Sun, Guodao, Tan Tang, Tai‐Quan Peng, Ronghua Liang, & Yingcai Wu. (2017). SocialWave. ACM Transactions on Intelligent Systems and Technology. 9(2). 1–23. 14 indexed citations
17.
Xu, Panpan, Yingcai Wu, Tai‐Quan Peng, et al.. (2013). Visual Analysis of Topic Competition on Social Media. IEEE Transactions on Visualization and Computer Graphics. 19(12). 2012–2021. 100 indexed citations
18.
Peng, Tai‐Quan & Jonathan J. H. Zhu. (2012). Where you publish matters most: A multilevel analysis of factors affecting citations of internet studies. Journal of the American Society for Information Science and Technology. 63(9). 1789–1803. 45 indexed citations
19.
Peng, Tai‐Quan, Lun Zhang, Zhi‐Jin Zhong, & Jonathan J. H. Zhu. (2012). Mapping the landscape of Internet Studies: Text mining of social science journal articles 2000–2009. New Media & Society. 15(5). 644–664. 51 indexed citations
20.
Peng, Tai‐Quan & Jonathan J. H. Zhu. (2008). Cohort Trends in Perceived Internet Influence on Political Efficacy in Hong Kong. CyberPsychology & Behavior. 11(1). 75–79. 3 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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