Yong Liu
Impact in
- Transportation top 0.5%
- Human Mobility and Location-Based Analysis
- Information Systems top 0.2%
- Recommender Systems and Techniques
Papers in
-
- Advanced Graph Neural Networks 30
- Topic Modeling 18
-
- Recommender Systems and Techniques 52
- Co-authors
- Chunyan Miao (29 shared papers)Xiwang Yang (4 shared papers)Min Wu (11 shared papers)Xiaoli Li (9 shared papers)Aixin Sun (6 shared papers)Harald Steck (2 shared papers)Peilin Zhao (6 shared papers)Yang Guo (1 shared paper)
- Journals
- Bioinformatics (6 papers)Knowledge-Based Systems (5 papers)IEEE Transactions on Knowledge and Data Engineering (4 papers)IEEE Access (3 papers)IEEE Transactions on Neural Networks and Learning Systems (3 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Yong Liu
207 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Transportation 716
- Information Systems 1.9k
- Artificial Intelligence 1.7k
- Computational Mathematics 26
- Computer Vision and Pattern Recognition 744
Countries citing papers authored by Yong Liu
This map shows the geographic impact of Yong 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 Yong Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yong Liu more than expected).
Fields of papers citing papers by Yong Liu
This network shows the impact of papers produced by Yong 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 Yong Liu. The network helps show where Yong Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yong 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 225 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A survey of collaborative filtering based social recommender systems Hit paper breakdown → | 2013 | 342 |
| 2 | 2016 | 284 | |
| 3 | Exploiting Geographical Neighborhood Characteristics for Location Recommendation Hit paper breakdown → | 2014 | 236 |
| 4 | 2013 | 191 | |
| 5 | Insights into PPLive: A Measurement Study of a Large-Scale P2P IPTV System | 2006 | 136 |
| 6 | 2006 | 119 | |
| 7 | 2012 | 113 | |
| 8 | 2012 | 111 | |
| 9 | 2014 | 104 | |
| 10 | 2019 | 104 | |
| 11 | Bootstrap Latent Representations for Multi-modal Recommendation Hit paper breakdown → | 2023 | 103 |
| 12 | 2022 | 97 | |
| 13 | 2021 | 81 | |
| 14 | 2020 | 67 | |
| 15 | 2011 | 63 | |
| 16 | 2020 | 63 | |
| 17 | 2020 | 62 | |
| 18 | 2020 | 61 | |
| 19 | Exploring the context of locations for personalized location recommendations | 2016 | 61 |
| 20 | 2016 | 59 |
About Yong Liu
Yong Liu is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Computer Networks and Communications and Computational Theory and Mathematics, having authored 225 papers that have together received 4.6k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (52 papers), Advanced Graph Neural Networks (30 papers), Topic Modeling (18 papers), Human Mobility and Location-Based Analysis (14 papers), Computational Drug Discovery Methods (12 papers), Advanced Bandit Algorithms Research (11 papers), Multimodal Machine Learning Applications (10 papers) and Bioinformatics and Genomic Networks (10 papers). The work is most often cited by research in Transportation (716 citations), Information Systems (1.9k citations), Artificial Intelligence (1.7k citations), Computational Mathematics (26 citations) and Computer Vision and Pattern Recognition (744 citations). Yong Liu has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Chunyan Miao, Xiwang Yang, Min Wu, Xiaoli Li, Aixin Sun, Harald Steck, Peilin Zhao, Yang Guo, Xin Liu and Wei Wei. Their work appears in journals such as Bioinformatics, Knowledge-Based Systems, IEEE Transactions on Knowledge and Data Engineering, IEEE Access 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.