Bin Cao
Impact in
- Computational Mathematics top 2%
- Information Systems top 0.5%
- Recommender Systems and Techniques
Papers in
-
- Text and Document Classification Technologies 5
- Domain Adaptation and Few-Shot Learning 4
-
- Recommender Systems and Techniques 10
- Expert finding and Q&A systems 4
- Web Data Mining and Analysis 4
- Information Retrieval and Search Behavior 3
- Co-authors
- Qiang Yang (14 shared papers)Nathan N. Liu (3 shared papers)Martin Scholz (1 shared paper)Y. Zhou (1 shared paper)Rajan M. Lukose (1 shared paper)Rong Pan (1 shared paper)Xing Xie (1 shared paper)Vincent W. Zheng (1 shared paper)
- Journals
- BMC Pulmonary Medicine (2 papers)Signal Transduction and Targeted Therapy (1 paper)Computer Modeling in Engineering & Sciences (1 paper)Advanced Science (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Bin Cao
37 papers receiving 1.7k citations
Bin Cao's Hit Papers
Peers
Comparison fields: 5 of 104
- Computational Mathematics 72
- Information Systems 1.1k
- Transportation 248
- Artificial Intelligence 805
- Management Science and Operations Research 269
Countries citing papers authored by Bin Cao
This map shows the geographic impact of Bin Cao'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 Bin Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Cao more than expected).
Fields of papers citing papers by Bin Cao
This network shows the impact of papers produced by Bin Cao. 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 Bin Cao. The network helps show where Bin Cao may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Cao, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | One-Class Collaborative Filtering Hit paper breakdown → | 2008 | 788 |
| 2 | 2010 | 255 | |
| 3 | 2010 | 107 | |
| 4 | Transfer Learning for Collective Link Prediction in Multiple Heterogenous Domains | 2010 | 98 |
| 5 | 2012 | 73 | |
| 6 | Detect and track latent factors with online nonnegative matrix factorization | 2007 | 69 |
| 7 | 2007 | 69 | |
| 8 | 2010 | 49 | |
| 9 | 2010 | 37 | |
| 10 | 2012 | 27 | |
| 11 | 2010 | 15 | |
| 12 | 2011 | 14 | |
| 13 | 2012 | 13 | |
| 14 | Encoding Low-Rank and Sparse Structures Simultaneously in Multi-task Learning | 2012 | 10 |
| 15 | 2006 | 9 | |
| 16 | 2008 | 9 | |
| 17 | 2014 | 9 | |
| 18 | 2009 | 9 | |
| 19 | 2010 | 8 | |
| 20 | 2013 | 8 |
About Bin Cao
Bin Cao is a scholar working on Artificial Intelligence, Information Systems, Molecular Biology, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 38 papers that have together received 1.7k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (10 papers), Text and Document Classification Technologies (5 papers), Expert finding and Q&A systems (4 papers), Face and Expression Recognition (4 papers), Domain Adaptation and Few-Shot Learning (4 papers), Web Data Mining and Analysis (4 papers), Information Retrieval and Search Behavior (3 papers) and Gut microbiota and health (3 papers). The work is most often cited by research in Computational Mathematics (72 citations), Information Systems (1.1k citations), Transportation (248 citations), Artificial Intelligence (805 citations) and Management Science and Operations Research (269 citations). Bin Cao has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Qiang Yang, Nathan N. Liu, Martin Scholz, Y. Zhou, Rajan M. Lukose, Rong Pan, Xing Xie, Vincent W. Zheng, Yu Zheng and Yu Zhang. Their work appears in journals such as BMC Pulmonary Medicine, Signal Transduction and Targeted Therapy, Computer Modeling in Engineering & Sciences, Advanced Science 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.