Fan Liu
Impact in
- Information Systems top 1%
- Recommender Systems and Techniques
- Artificial Intelligence top 5%
- Advanced Graph Neural Networks
- Topic Modeling
Papers in
-
- Advanced Graph Neural Networks 11
- Topic Modeling 9
-
- Recommender Systems and Techniques 21
- Co-authors
- Zhiyong Cheng (17 shared papers)Liqiang Nie (14 shared papers)Zan Gao (2 shared papers)J.A. van Kan (7 shared papers)Mohan Kankanhalli (7 shared papers)Lei Zhu (3 shared papers)Yuxin Peng (3 shared papers)Johan R. C. van der Maarel (7 shared papers)
- Journals
- ACM Transactions on Information Systems (6 papers)International Journal of Computer Vision (2 papers)IEEE Transactions on Multimedia (2 papers)IEEE Transactions on Knowledge and Data Engineering (2 papers)Soft Matter (2 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Fan Liu
51 papers receiving 973 citations
Fan Liu's Hit Papers
Peers
Comparison fields: 5 of 101
- Information Systems 487
- Artificial Intelligence 475
- Computer Vision and Pattern Recognition 177
- Transportation 53
- Pharmaceutical Science 29
Countries citing papers authored by Fan Liu
This map shows the geographic impact of Fan Liu'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 Fan Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fan Liu more than expected).
Fields of papers citing papers by Fan Liu
This network shows the impact of papers produced by Fan Liu. 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 Fan Liu. The network helps show where Fan Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Fan Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Interest-aware Message-Passing GCN for Recommendation Hit paper breakdown → | 2021 | 195 |
| 2 | 2022 | 62 | |
| 3 | 2023 | 55 | |
| 4 | 2017 | 53 | |
| 5 | 2022 | 53 | |
| 6 | 2020 | 49 | |
| 7 | 2023 | 46 | |
| 8 | 2023 | 45 | |
| 9 | 2011 | 43 | |
| 10 | 2013 | 34 | |
| 11 | 2013 | 33 | |
| 12 | 2021 | 31 | |
| 13 | 2023 | 28 | |
| 14 | 2022 | 24 | |
| 15 | 2022 | 22 | |
| 16 | 2012 | 21 | |
| 17 | 2023 | 18 | |
| 18 | 2024 | 17 | |
| 19 | 2023 | 15 | |
| 20 | 2020 | 14 |
About Fan Liu
Fan Liu is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Biomedical Engineering and Computer Networks and Communications, having authored 56 papers that have together received 983 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (21 papers), Advanced Graph Neural Networks (11 papers), Topic Modeling (9 papers), Nanopore and Nanochannel Transport Studies (7 papers), Human Mobility and Location-Based Analysis (5 papers), Caching and Content Delivery (3 papers), DNA and Nucleic Acid Chemistry (3 papers) and Image Retrieval and Classification Techniques (3 papers). The work is most often cited by research in Information Systems (487 citations), Artificial Intelligence (475 citations), Computer Vision and Pattern Recognition (177 citations), Transportation (53 citations) and Pharmaceutical Science (29 citations). Fan Liu has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Zhiyong Cheng, Liqiang Nie, Zan Gao, J.A. van Kan, Mohan Kankanhalli, Lei Zhu, Yuxin Peng, Johan R. C. van der Maarel, Zeneng Cheng and Huilin Chen. Their work appears in journals such as ACM Transactions on Information Systems, International Journal of Computer Vision, IEEE Transactions on Multimedia, IEEE Transactions on Knowledge and Data Engineering and Soft Matter.
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.