Yi Bin
Impact in
-
- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Generative Adversarial Networks and Image Synthesis
- Image Retrieval and Classification Techniques
- Advanced Neural Network Applications
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
Papers in
-
- Multimodal Machine Learning Applications 19
- Advanced Image and Video Retrieval Techniques 6
- Image Retrieval and Classification Techniques 5
-
- Machine Learning in Healthcare 7
- Topic Modeling 3
- Co-authors
- Yang Yang (28 shared papers)Heng Tao Shen (20 shared papers)Fumin Shen (4 shared papers)Ning Xie (2 shared papers)Jie Zhou (3 shared papers)Yanli Ji (2 shared papers)Xing Xu (7 shared papers)Guoqing Wang (8 shared papers)
In The Last Decade
Yi Bin
75 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 91
- Computer Vision and Pattern Recognition 744
- Artificial Intelligence 233
- Health Informatics 14
- Computational Theory and Mathematics 57
- Information Systems 87
Countries citing papers authored by Yi Bin
This map shows the geographic impact of Yi Bin'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 Yi Bin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Bin more than expected).
Fields of papers citing papers by Yi Bin
This network shows the impact of papers produced by Yi Bin. 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 Yi Bin. The network helps show where Yi Bin may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi Bin, 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 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 226 | |
| 2 | 2018 | 175 | |
| 3 | 2020 | 89 | |
| 4 | 2016 | 55 | |
| 5 | 2021 | 49 | |
| 6 | 2021 | 39 | |
| 7 | 2023 | 39 | |
| 8 | 2017 | 37 | |
| 9 | 2021 | 34 | |
| 10 | 2023 | 33 | |
| 11 | 2022 | 30 | |
| 12 | 2023 | 29 | |
| 13 | 2018 | 26 | |
| 14 | 2023 | 26 | |
| 15 | 2017 | 23 | |
| 16 | 2024 | 19 | |
| 17 | 2015 | 18 | |
| 18 | 2019 | 18 | |
| 19 | 2021 | 17 | |
| 20 | 2024 | 16 |
About Yi Bin
Yi Bin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Information Systems and Health Information Management, having authored 84 papers that have together received 1.3k indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (19 papers), Machine Learning in Healthcare (7 papers), GNSS positioning and interference (7 papers), Advanced Image and Video Retrieval Techniques (6 papers), Image Retrieval and Classification Techniques (5 papers), Recommender Systems and Techniques (4 papers), Topic Modeling (3 papers) and Misinformation and Its Impacts (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (744 citations), Artificial Intelligence (233 citations), Health Informatics (14 citations), Computational Theory and Mathematics (57 citations) and Information Systems (87 citations). Yi Bin has collaborated with scholars based in China, Singapore and Hong Kong. Frequent co-authors include Yang Yang, Heng Tao Shen, Fumin Shen, Ning Xie, Jie Zhou, Yanli Ji, Xing Xu, Guoqing Wang, Jiangbo Ai and Alan Hanjalić. Their work appears in journals such as IEEE Transactions on Multimedia, Frontiers in Medicine, Remote Sensing, Advances in Space Research and IEEE Transactions on Circuits and Systems for Video Technology.
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.