Fei Cai
Impact in
- Information Systems top 5%
- Information Retrieval and Search Behavior
- Web Data Mining and Analysis
- Recommender Systems and Techniques
- Artificial Intelligence top 10%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Graph Neural Networks
Papers in
-
- Information Retrieval and Search Behavior 7
- Web Data Mining and Analysis 5
- Recommender Systems and Techniques 4
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- Topic Modeling 5
- Data Stream Mining Techniques 5
- Natural Language Processing Techniques 3
- Co-authors
- Maarten de Rijke (12 shared papers)Shangsong Liang (3 shared papers)Honghui Chen (9 shared papers)Wanyu Chen (4 shared papers)Chong Feng (1 shared paper)Ning Ding (1 shared paper)Jun Liu (1 shared paper)Weijie Kong (1 shared paper)
- Journals
- Information Processing & Management (2 papers)Journal of Intelligent & Fuzzy Systems (2 papers)Frontiers of Computer Science (1 paper)ACM Transactions on Information Systems (1 paper)IEEE Transactions on Neural Networks and Learning Systems (1 paper)
- Partner nations
- ChinaNetherlandsUnited Kingdom
In The Last Decade
Fei Cai
18 papers receiving 277 citations
Peers
Comparison fields: 5 of 43
- Information Systems 185
- Artificial Intelligence 156
- Signal Processing 47
- Computer Vision and Pattern Recognition 60
- Management Science and Operations Research 31
Countries citing papers authored by Fei Cai
This map shows the geographic impact of Fei Cai'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 Fei Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Cai more than expected).
Fields of papers citing papers by Fei Cai
This network shows the impact of papers produced by Fei Cai. 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 Fei Cai. The network helps show where Fei Cai may publish in the future.
Co-authors
The 11 scholars most cited alongside Fei Cai, 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 | 2016 | 54 | |
| 2 | 2014 | 38 | |
| 3 | 2014 | 36 | |
| 4 | 2016 | 33 | |
| 5 | 2018 | 25 | |
| 6 | 2020 | 19 | |
| 7 | 2016 | 18 | |
| 8 | 2016 | 18 | |
| 9 | 2019 | 13 | |
| 10 | 2018 | 13 | |
| 11 | 2019 | 7 | |
| 12 | 2017 | 4 | |
| 13 | 2021 | 4 | |
| 14 | Query auto completion in information retrieval | 2016 | 3 |
| 15 | 2017 | 2 | |
| 16 | 2013 | 2 | |
| 17 | 2018 | 1 | |
| 18 | 2013 | 1 |
About Fei Cai
Fei Cai is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition and Signal Processing, having authored 18 papers that have together received 291 indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (7 papers), Web Data Mining and Analysis (5 papers), Topic Modeling (5 papers), Data Stream Mining Techniques (5 papers), Recommender Systems and Techniques (4 papers), Caching and Content Delivery (4 papers), Advanced Database Systems and Queries (3 papers) and Natural Language Processing Techniques (3 papers). The work is most often cited by research in Information Systems (185 citations), Artificial Intelligence (156 citations), Signal Processing (47 citations), Computer Vision and Pattern Recognition (60 citations) and Management Science and Operations Research (31 citations). Fei Cai has collaborated with scholars based in China, Netherlands and United Kingdom. Frequent co-authors include Maarten de Rijke, Shangsong Liang, Honghui Chen, Wanyu Chen, Chong Feng, Ning Ding, Jun Liu, Weijie Kong, Lailong Luo and Junjie Xie. Their work appears in journals such as Information Processing & Management, Journal of Intelligent & Fuzzy Systems, Frontiers of Computer Science, ACM Transactions on Information Systems and IEEE Transactions on Neural Networks and Learning Systems.
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.