Peiji Shao
- Marketing top 5%
- Sociology and Political Science
- Computer Science Applications top 5%
- Information Systems top 10%
- Organizational Behavior and Human Resource Management top 10%
- Topics
- Customer churn and segmentation (12 papers)Technology Adoption and User Behaviour (7 papers)Customer Service Quality and Loyalty (7 papers)
In The Last Decade
Peiji Shao
38 papers receiving 345 citations
Peers
Comparison fields: 5 of 72
- Marketing 113
- Sociology and Political Science 95
- Computer Science Applications 85
- Information Systems 75
- Organizational Behavior and Human Resource Management 73
Countries citing papers authored by Peiji Shao
This map shows the geographic impact of Peiji Shao'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 Peiji Shao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peiji Shao more than expected).
Fields of papers citing papers by Peiji Shao
This network shows the impact of papers produced by Peiji Shao. 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 Peiji Shao. The network helps show where Peiji Shao may publish in the future.
Co-authorship network of co-authors of Peiji Shao
This figure shows the co-authorship network connecting the top 25 collaborators of Peiji Shao. A scholar is included among the top collaborators of Peiji Shao 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 Peiji Shao. Peiji Shao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | Influence Factors of E-commerce Adoption: An Empirical Research in Special Markets | 1 |
| 4 | 4 | |
| 5 | 13 | |
| 6 | Research on customer churn detainment in telecom based on rival counterat-tack and customer detainment value maximization | 2 |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 10 | |
| 10 | 2 | |
| 11 | 13 | |
| 12 | A Group Decision-making Method for Integrator Selection in Logistics Service for a Supply Chain | 1 |
| 13 | EC System Frame Based on Grid and Multi-Agent Negotiation | 1 |
| 14 | 1 | |
| 15 | 12 | |
| 16 | 2 | |
| 17 | A method for evaluating web-based survey feasibility | 4 |
| 18 | Simulation Research Of Incomplete Information Gamein Online Double Auction | 2 |
| 19 | 7 | |
| 20 | RFID's Impacts on Business Value: A Case Study of Supply Chain in the Discrete Manufacturing Industry | 1 |
About Peiji Shao
Peiji Shao is a scholar working on Marketing, Information Systems and Management and Organizational Behavior and Human Resource Management, having authored 43 papers that have together received 373 indexed citations. Recurring topics across this work include Customer churn and segmentation (12 papers), Technology Adoption and User Behaviour (7 papers) and Customer Service Quality and Loyalty (7 papers). The work is most often cited by research in Computer Science Applications (85 citations), Marketing (113 citations) and Information Systems and Management (72 citations). Peiji Shao has collaborated with scholars based in China and Canada. Frequent co-authors include Jiaming Fang, George Lan, Bin Luo, Qian Su, Bin Deng, Dan Zhao, Liangqiang Li, Bin Deng, Hua Yuan and Dan Zhao. Their work appears in journals such as Computers in Human Behavior, Bioorganic Chemistry and International Journal of Emerging Technologies in Learning (iJET).
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.