Xiaowei Mei
Impact in
- Information Systems top 10%
- Recommender Systems and Techniques
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- Open Source Software Innovations
Papers in
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- Recommender Systems and Techniques 2
- Spam and Phishing Detection 1
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- Digital Platforms and Economics 2
- Co-authors
- Liangfei Qiu (2 shared papers)Subhajyoti Bandyopadhyay (2 shared papers)Yunqing Liu (1 shared paper)Wenqi Fan (2 shared papers)Jiliang Tang (1 shared paper)Xiangyu Zhao (1 shared paper)Yiqi Wang (1 shared paper)Qing Li (2 shared papers)
- Journals
- Production and Operations Management (1 paper)Information Systems Research (1 paper)ACM Transactions on Information Systems (1 paper)Journal of Management Information Systems (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)
- Partner nations
- Hong KongUnited StatesChina
In The Last Decade
Xiaowei Mei
6 papers receiving 174 citations
Xiaowei Mei's Hit Papers
Peers
Comparison fields: 5 of 49
- Information Systems 77
- Computer Science Applications 18
- Communication 20
- Artificial Intelligence 79
- Health Informatics 3
Countries citing papers authored by Xiaowei Mei
This map shows the geographic impact of Xiaowei Mei'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 Xiaowei Mei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaowei Mei more than expected).
Fields of papers citing papers by Xiaowei Mei
This network shows the impact of papers produced by Xiaowei Mei. 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 Xiaowei Mei. The network helps show where Xiaowei Mei may publish in the future.
Co-authors
The 20 scholars most cited alongside Xiaowei Mei, 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 | Recommender Systems in the Era of Large Language Models (LLMs) Hit paper breakdown → | 2024 | 119 |
| 2 | 2018 | 45 | |
| 3 | 2024 | 6 | |
| 4 | 2013 | 5 | |
| 5 | 2024 | 2 | |
| 6 | 2021 | 2 |
About Xiaowei Mei
Xiaowei Mei is a scholar working on Information Systems, Strategy and Management, Marketing, Communication and Computer Networks and Communications, having authored 6 papers that have together received 179 indexed citations. Recurring topics across this work include Consumer Market Behavior and Pricing (2 papers), Recommender Systems and Techniques (2 papers), Digital Platforms and Economics (2 papers), Complex Network Analysis Techniques (1 paper), Spam and Phishing Detection (1 paper), Biometric Identification and Security (1 paper), Open Source Software Innovations (1 paper) and Consumer Retail Behavior Studies (1 paper). The work is most often cited by research in Information Systems (77 citations), Computer Science Applications (18 citations), Communication (20 citations), Artificial Intelligence (79 citations) and Health Informatics (3 citations). Xiaowei Mei has collaborated with scholars based in Hong Kong, United States and China. Frequent co-authors include Liangfei Qiu, Subhajyoti Bandyopadhyay, Yunqing Liu, Wenqi Fan, Jiliang Tang, Xiangyu Zhao, Yiqi Wang, Qing Li, Mahdi Moqri and Jiatong Li. Their work appears in journals such as Production and Operations Management, Information Systems Research, ACM Transactions on Information Systems, Journal of Management Information Systems and IEEE Transactions on Knowledge and Data Engineering.
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.