Jiayin Qi
- Sociology and Political Science top 5%
- Marketing top 2%
- Artificial Intelligence top 5%
- Information Systems top 2%
- Information Systems and Management top 2%
- Co-authors
- Huaying ShuSeongmin JeonYanquan ZhouLing LiHong WuFeng LiuJifeng MuYong‐Pin Zhou
- Topics
- Digital Marketing and Social Media (26 papers)Customer churn and segmentation (13 papers)Blockchain Technology Applications and Security (13 papers)
- Cited by
- MarketingInformation Systems and ManagementOrganizational Behavior and Human Resource Management
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsIEEE Access
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Jiayin Qi
102 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 117
- Sociology and Political Science 544
- Marketing 354
- Artificial Intelligence 333
- Information Systems 271
- Information Systems and Management 242
Countries citing papers authored by Jiayin Qi
This map shows the geographic impact of Jiayin Qi'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 Jiayin Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiayin Qi more than expected).
Fields of papers citing papers by Jiayin Qi
This network shows the impact of papers produced by Jiayin Qi. 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 Jiayin Qi. The network helps show where Jiayin Qi may publish in the future.
Co-authorship network of co-authors of Jiayin Qi
This figure shows the co-authorship network connecting the top 25 collaborators of Jiayin Qi. A scholar is included among the top collaborators of Jiayin Qi 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 Jiayin Qi. Jiayin Qi 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 | 4 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 19 | |
| 6 | 14 | |
| 7 | 20 | |
| 8 | 15 | |
| 9 | 1 | |
| 10 | 21 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 6 | |
| 14 | 1 | |
| 15 | Mining Customer Requirement from Online Reviews: A Product Improvement Perspective | 1 |
| 16 | 51 | |
| 17 | USER-GENERATED CONTENT (UGC) ENCOUNTERED ENTERPRISE-GENERATED CONTENT (EGC): QUANTIFYING THE IMPACT OF EGC ON THE PROPAGATION OF NEGATIVE UGC | 3 |
| 18 | Modeling Mgc Strategies under Extreme Negative Ugc | 4 |
| 19 | 6 | |
| 20 | Iris image quality assessment method | 2 |
About Jiayin Qi
Jiayin Qi is a scholar working on Marketing, Information Systems and Management and Communication, having authored 113 papers that have together received 1.6k indexed citations. Recurring topics across this work include Digital Marketing and Social Media (26 papers), Customer churn and segmentation (13 papers) and Blockchain Technology Applications and Security (13 papers). The work is most often cited by research in Marketing (354 citations), Information Systems and Management (242 citations) and Organizational Behavior and Human Resource Management (241 citations). Jiayin Qi has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Huaying Shu, Seongmin Jeon, Yanquan Zhou, Ling Li, Hong Wu, Feng Liu, Jifeng Mu, Yong‐Pin Zhou, Emmanuel Monod and Qi‐Xing Qu. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.
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.