Bin Fu
Impact in
- Information Systems top 1%
- Recommender Systems and Techniques
- Artificial Intelligence top 5%
- Advanced Graph Neural Networks
- Topic Modeling
Papers in
- Oceanography 15
- Ocean Waves and Remote Sensing 15
- Oceanographic and Atmospheric Processes 7
- Co-authors
- Mingliang Wang (1 shared paper)Ruoxi Wang (1 shared paper)Gang Fu (1 shared paper)Zhu Xiao (4 shared papers)Renfa Li (11 shared papers)Huaguo Zhang (12 shared papers)Hongzhi Liu (7 shared papers)Zhonghai Wu (5 shared papers)
- Journals
- International Journal of Remote Sensing (3 papers)Journal of Systems Architecture (2 papers)Engineering Applications of Artificial Intelligence (2 papers)IEEE Transactions on Biomedical Engineering (1 paper)Pattern Recognition Letters (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Bin Fu
63 papers receiving 1.4k citations
Bin Fu's Hit Papers
Peers
Comparison fields: 5 of 100
- Information Systems 621
- Artificial Intelligence 538
- Computer Vision and Pattern Recognition 337
- Computer Networks and Communications 303
- Earth-Surface Processes 76
Countries citing papers authored by Bin Fu
This map shows the geographic impact of Bin Fu'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 Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Fu more than expected).
Fields of papers citing papers by Bin Fu
This network shows the impact of papers produced by Bin Fu. 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 Fu. The network helps show where Bin Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Fu, 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep & Cross Network for Ad Click Predictions Hit paper breakdown → | 2017 | 726 |
| 2 | 2021 | 64 | |
| 3 | 2018 | 61 | |
| 4 | 2017 | 52 | |
| 5 | 2023 | 45 | |
| 6 | 2018 | 39 | |
| 7 | 2013 | 36 | |
| 8 | 2020 | 33 | |
| 9 | 2017 | 28 | |
| 10 | 2020 | 28 | |
| 11 | 2008 | 21 | |
| 12 | 2020 | 19 | |
| 13 | 2018 | 16 | |
| 14 | 2007 | 12 | |
| 15 | 2009 | 12 | |
| 16 | 2016 | 11 | |
| 17 | 2017 | 10 | |
| 18 | 2016 | 10 | |
| 19 | 2011 | 10 | |
| 20 | 2023 | 10 |
About Bin Fu
Bin Fu is a scholar working on Computer Networks and Communications, Oceanography, Artificial Intelligence, Earth-Surface Processes and Information Systems, having authored 67 papers that have together received 1.4k indexed citations. Recurring topics across this work include Ocean Waves and Remote Sensing (15 papers), Coastal and Marine Dynamics (11 papers), ECG Monitoring and Analysis (10 papers), EEG and Brain-Computer Interfaces (8 papers), Oceanographic and Atmospheric Processes (7 papers), Text and Document Classification Technologies (7 papers), Remote Sensing and LiDAR Applications (6 papers) and Non-Invasive Vital Sign Monitoring (4 papers). The work is most often cited by research in Information Systems (621 citations), Artificial Intelligence (538 citations), Computer Vision and Pattern Recognition (337 citations), Computer Networks and Communications (303 citations) and Earth-Surface Processes (76 citations). Bin Fu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Mingliang Wang, Ruoxi Wang, Gang Fu, Zhu Xiao, Renfa Li, Huaguo Zhang, Hongzhi Liu, Zhonghai Wu, Hongbo Jiang and Jilong Wang. Their work appears in journals such as International Journal of Remote Sensing, Journal of Systems Architecture, Engineering Applications of Artificial Intelligence, IEEE Transactions on Biomedical Engineering and Pattern Recognition Letters.
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.