Pengyuan Wang
- Marketing top 10%
- Consumer Market Behavior and Pricing 11
- Consumer Behavior in Brand Consumption and Identification 3
- Customer churn and segmentation 2
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- Job Satisfaction and Organizational Behavior 2
- Statistics and Probability top 10%
- Advanced Causal Inference Techniques 5
- Social Psychology top 10%
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- Digital Marketing and Social Media 3
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- Web Data Mining and Analysis 2
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- Digital Platforms and Economics 2
- Journals
- SHILAP Revista de lepidopterología (1 paper)Journal of Marketing (2 papers)Scientific Reports (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Pengyuan Wang
23 papers receiving 437 citations
Peers
Comparison fields: 5 of 84
- Marketing 92
- Organizational Behavior and Human Resource Management 71
- Statistics and Probability 42
- Social Psychology 84
- Clinical Psychology 63
Countries citing papers authored by Pengyuan Wang
This map shows the geographic impact of Pengyuan Wang'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 Pengyuan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pengyuan Wang more than expected).
Fields of papers citing papers by Pengyuan Wang
This network shows the impact of papers produced by Pengyuan Wang. 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 Pengyuan Wang. The network helps show where Pengyuan Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pengyuan Wang, 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 | 2024 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 12 | |
| 5 | 2021 | 1 | |
| 6 | 2021 | 16 | |
| 7 | 2019 | 17 | |
| 8 | 2018 | 8 | |
| 9 | 2018 | 27 | |
| 10 | Using TB-Sized Data to Understand Multi-Device Advertising. | 2016 | 2 |
| 11 | 2016 | 39 | |
| 12 | 2015 | 20 | |
| 13 | 2015 | 1 | |
| 14 | 2015 | 2 | |
| 15 | 2015 | 19 | |
| 16 | The WHUTE System in NTCIR-9 RITE Task | 2014 | 2 |
| 17 | 2014 | 5 | |
| 18 | 2013 | 37 | |
| 19 | 2013 | 3 | |
| 20 | Research on Triangulation Reconstruction from Section Data | 2007 | 1 |
About Pengyuan Wang
Pengyuan Wang is a scholar working on Marketing, Statistics and Probability and Organizational Behavior and Human Resource Management, having authored 24 papers that have together received 468 indexed citations. Recurring topics across this work include Consumer Market Behavior and Pricing (11 papers), Advanced Causal Inference Techniques (5 papers), Consumer Behavior in Brand Consumption and Identification (3 papers), Digital Marketing and Social Media (3 papers), Web Data Mining and Analysis (2 papers), Job Satisfaction and Organizational Behavior (2 papers), Customer churn and segmentation (2 papers) and Digital Platforms and Economics (2 papers). The work is most often cited by research in Marketing (92 citations), Organizational Behavior and Human Resource Management (71 citations) and Statistics and Probability (42 citations). Pengyuan Wang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Qun Yang, Xiaobo Yu, Xuesong Zhai, Jian Yang, Guiyang Xiong, Dawei Yin, Yi Chang, Eric T. Bradlow, Wei Sun and Peter S. Fader. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Marketing and Scientific Reports.
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.