Pengkun Wu
Impact in
- Marketing top 5%
- Consumer Market Behavior and Pricing
- Consumer Retail Behavior Studies
-
- Supply Chain and Inventory Management
Papers in
-
- Digital Marketing and Social Media 7
- Misinformation and Its Impacts 3
-
- Supply Chain and Inventory Management 4
- Co-authors
- Yuanyuan Wu (9 shared papers)Eric W.T. Ngai (7 shared papers)Chong Wu (6 shared papers)Yi He (3 shared papers)Qingyun Xu (2 shared papers)Bîng Xu (1 shared paper)Yudan Dou (2 shared papers)Dong Zhang (1 shared paper)
In The Last Decade
Pengkun Wu
19 papers receiving 540 citations
Pengkun Wu's Hit Papers
Peers
Comparison fields: 5 of 73
- Marketing 171
- Management Information Systems 110
- Information Systems and Management 48
- Computer Science Applications 37
- Information Systems 138
Countries citing papers authored by Pengkun Wu
This map shows the geographic impact of Pengkun Wu'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 Pengkun Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pengkun Wu more than expected).
Fields of papers citing papers by Pengkun Wu
This network shows the impact of papers produced by Pengkun Wu. 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 Pengkun Wu. The network helps show where Pengkun Wu may publish in the future.
Co-authors
The 16 scholars most cited alongside Pengkun Wu, 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 | Fake online reviews: Literature review, synthesis, and directions for future research Hit paper breakdown → | 2020 | 236 |
| 2 | 2019 | 91 | |
| 3 | 2016 | 71 | |
| 4 | 2018 | 39 | |
| 5 | 2022 | 36 | |
| 6 | 2021 | 21 | |
| 7 | 2023 | 19 | |
| 8 | 2016 | 7 | |
| 9 | 2016 | 7 | |
| 10 | 2023 | 6 | |
| 11 | 2017 | 6 | |
| 12 | 2020 | 3 | |
| 13 | 2024 | 3 | |
| 14 | 2024 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2024 | 2 | |
| 17 | 2016 | 2 | |
| 18 | 2024 | 1 | |
| 19 | 2020 | 1 | |
| 20 | 2025 | 0 |
About Pengkun Wu
Pengkun Wu is a scholar working on Sociology and Political Science, Management Information Systems, Information Systems, Marketing and Management Science and Operations Research, having authored 20 papers that have together received 555 indexed citations. Recurring topics across this work include Digital Marketing and Social Media (7 papers), Supply Chain and Inventory Management (4 papers), Demographic Trends and Gender Preferences (4 papers), Spam and Phishing Detection (3 papers), Consumer Market Behavior and Pricing (3 papers), Misinformation and Its Impacts (3 papers), Digital Platforms and Economics (2 papers) and Global Health Care Issues (2 papers). The work is most often cited by research in Marketing (171 citations), Management Information Systems (110 citations), Information Systems and Management (48 citations), Computer Science Applications (37 citations) and Information Systems (138 citations). Pengkun Wu has collaborated with scholars based in China, Hong Kong and France. Frequent co-authors include Yuanyuan Wu, Eric W.T. Ngai, Chong Wu, Yi He, Qingyun Xu, Bîng Xu, Yudan Dou, Dong Zhang, Yao Wen and Dong Zhang. Their work appears in journals such as Industrial Management & Data Systems, Internet Research, Social Indicators Research, Decision Support Systems and Quality & Quantity.
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.