Peiyu Zhou
Impact in
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- Technology Adoption and User Behaviour
Papers in
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- AI in Service Interactions 10
- Sentiment Analysis and Opinion Mining 2
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- Digital Marketing and Social Media 6
- Co-authors
- Changyong Liang (15 shared papers)Yuguang Xie (13 shared papers)Kèyù Zhü (2 shared papers)Shuping Zhao (7 shared papers)Li Jiang (3 shared papers)Junhong Zhu (3 shared papers)Yiming Ma (2 shared papers)Changyong Liang (1 shared paper)
- Journals
- Computers in Human Behavior (2 papers)Aslib Journal of Information Management (2 papers)International Journal of Human-Computer Interaction (2 papers)Internet Research (1 paper)Journal of Retailing and Consumer Services (1 paper)
- Partner nations
- ChinaSaudi Arabia
In The Last Decade
Peiyu Zhou
17 papers receiving 246 citations
Peers
Comparison fields: 5 of 42
- Information Systems and Management 53
- Health Informatics 8
- Artificial Intelligence 132
- Marketing 30
- Social Psychology 59
Countries citing papers authored by Peiyu Zhou
This map shows the geographic impact of Peiyu Zhou'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 Peiyu Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peiyu Zhou more than expected).
Fields of papers citing papers by Peiyu Zhou
This network shows the impact of papers produced by Peiyu Zhou. 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 Peiyu Zhou. The network helps show where Peiyu Zhou may publish in the future.
Co-authors
The 11 scholars most cited alongside Peiyu Zhou, 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 | 2023 | 73 | |
| 2 | 2023 | 50 | |
| 3 | 2023 | 29 | |
| 4 | 2022 | 24 | |
| 5 | 2023 | 20 | |
| 6 | 2022 | 15 | |
| 7 | 2024 | 11 | |
| 8 | 2024 | 6 | |
| 9 | 2024 | 4 | |
| 10 | 2023 | 4 | |
| 11 | 2024 | 3 | |
| 12 | 2025 | 3 | |
| 13 | 2025 | 3 | |
| 14 | 2024 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2024 | 1 | |
| 17 | 2025 | 1 |
About Peiyu Zhou
Peiyu Zhou is a scholar working on Artificial Intelligence, Sociology and Political Science, Information Systems and Management, Social Psychology and Human-Computer Interaction, having authored 17 papers that have together received 251 indexed citations. Recurring topics across this work include AI in Service Interactions (10 papers), Technology Adoption and User Behaviour (7 papers), Digital Marketing and Social Media (6 papers), Humor Studies and Applications (3 papers), Customer Service Quality and Loyalty (3 papers), Sentiment Analysis and Opinion Mining (2 papers), Knowledge Management and Sharing (2 papers) and Innovative Human-Technology Interaction (2 papers). The work is most often cited by research in Information Systems and Management (53 citations), Health Informatics (8 citations), Artificial Intelligence (132 citations), Marketing (30 citations) and Social Psychology (59 citations). Peiyu Zhou has collaborated with scholars based in China and Saudi Arabia. Frequent co-authors include Changyong Liang, Yuguang Xie, Kèyù Zhü, Shuping Zhao, Li Jiang, Junhong Zhu, Yiming Ma, Changyong Liang, Ying Wang and Yuting Feng. Their work appears in journals such as Computers in Human Behavior, Aslib Journal of Information Management, International Journal of Human-Computer Interaction, Internet Research and Journal of Retailing and Consumer Services.
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.