Tai‐Quan Peng
- Sociology and Political Science top 5%
- Communication top 2%
- Artificial Intelligence top 5%
- Statistical and Nonlinear Physics top 5%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Jonathan J. H. ZhuLun ZhangWouter van AtteveldtXiaohui WangLiang ChenYingcai WuShi‐Xia LiuJingyuan Shi
- Topics
- Social Media and Politics (23 papers)Complex Network Analysis Techniques (19 papers)Misinformation and Its Impacts (12 papers)
- Journals
- Journal of the American Chemical SocietySHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- United StatesHong KongChina
In The Last Decade
Tai‐Quan Peng
65 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 131
- Sociology and Political Science 523
- Communication 312
- Artificial Intelligence 231
- Statistical and Nonlinear Physics 225
- Computer Vision and Pattern Recognition 181
Countries citing papers authored by Tai‐Quan Peng
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 21 | |
| 9 | 2 | |
| 10 | Cancer-prevention messages on Chinese social media: A content analysis grounded in the extended parallel process model and attribution theory | 4 |
| 11 | 5 | |
| 12 | 114 | |
| 13 | 91 | |
| 14 | 10 | |
| 15 | 15 | |
| 16 | 13 | |
| 17 | 12 | |
| 18 | 27 | |
| 19 | 100 | |
| 20 | 3 |
About Tai‐Quan Peng
Tai‐Quan Peng is a scholar working on Communication, Statistical and Nonlinear Physics and Sociology and Political Science, having authored 72 papers that have together received 1.2k indexed citations. Recurring topics across this work include Social Media and Politics (23 papers), Complex Network Analysis Techniques (19 papers) and Misinformation and Its Impacts (12 papers). The work is most often cited by research in Communication (312 citations), General Social Sciences (93 citations) and Statistical and Nonlinear Physics (225 citations). Tai‐Quan Peng has collaborated with scholars based in United States, Hong Kong and China. Frequent 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. Their work appears in journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and PLoS ONE.
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.