Pu Yan
Impact in
-
- Social Media and Politics
Papers in
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- Social Media and Politics 6
-
- E-Government and Public Services 3
- Co-authors
- Ralph Schroeder (5 shared papers)Sebastian Stier (1 shared paper)Akihiro Nakao (2 shared papers)Taha Yasseri (1 shared paper)Chang Liu (1 shared paper)J. S. Liu (1 shared paper)
- Journals
- Information Communication & Society (2 papers)International Communication Gazette (2 papers)Telematics and Informatics (1 paper)International Sociology (1 paper)Mobile Media & Communication (1 paper)
- Partner nations
- United KingdomChinaJapan
In The Last Decade
Pu Yan
13 papers receiving 113 citations
Peers
Comparison fields: 5 of 47
- Communication 26
- Library and Information Sciences 2
- Sociology and Political Science 53
- Information Systems 23
- General Energy 1
Countries citing papers authored by Pu Yan
This map shows the geographic impact of Pu Yan'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 Pu Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pu Yan more than expected).
Fields of papers citing papers by Pu Yan
This network shows the impact of papers produced by Pu Yan. 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 Pu Yan. The network helps show where Pu Yan may publish in the future.
Co-authors
The 6 scholars most cited alongside Pu Yan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 38 | |
| 2 | 2019 | 30 | |
| 3 | 2011 | 19 | |
| 4 | 2021 | 8 | |
| 5 | 2021 | 6 | |
| 6 | 2012 | 3 | |
| 7 | 2017 | 3 | |
| 8 | 2024 | 2 | |
| 9 | 2020 | 1 | |
| 10 | 2024 | 1 | |
| 11 | 2011 | 1 | |
| 12 | Proportional Stretch Factor Differentiated Service in Heterogeneous Web Server Cluster | 2006 | 1 |
| 13 | 2024 | 1 | |
| 14 | 2022 | 0 | |
| 15 | 2025 | 0 | |
| 16 | Optimization Strategy for Organization and Distribution of Documents in Web Server Cluster | 2006 | 0 |
About Pu Yan
Pu Yan is a scholar working on Communication, Political Science and International Relations, Sociology and Political Science, Information Systems and Computer Networks and Communications, having authored 16 papers that have together received 114 indexed citations. Recurring topics across this work include Social Media and Politics (6 papers), Caching and Content Delivery (4 papers), Cloud Computing and Resource Management (3 papers), Privacy, Security, and Data Protection (3 papers), E-Government and Public Services (3 papers), Wireless Networks and Protocols (2 papers), Media Influence and Politics (2 papers) and Misinformation and Its Impacts (2 papers). The work is most often cited by research in Communication (26 citations), Library and Information Sciences (2 citations), Sociology and Political Science (53 citations), Information Systems (23 citations) and General Energy (1 citation). Pu Yan has collaborated with scholars based in United Kingdom, China and Japan. Frequent co-authors include Ralph Schroeder, Sebastian Stier, Akihiro Nakao, Taha Yasseri, Chang Liu and J. S. Liu. Their work appears in journals such as Information Communication & Society, International Communication Gazette, Telematics and Informatics, International Sociology and Mobile Media & Communication.
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.