Bin-Bin Gao
Impact in
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- Face recognition and analysis
- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Generative Adversarial Networks and Image Synthesis
- Face and Expression Recognition
- Artificial Intelligence top 2%
- Text and Document Classification Technologies
- Domain Adaptation and Few-Shot Learning
- Anomaly Detection Techniques and Applications
Papers in
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- Advanced Image and Video Retrieval Techniques 12
- Multimodal Machine Learning Applications 6
- Advanced Neural Network Applications 6
- Human Pose and Action Recognition 4
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- Domain Adaptation and Few-Shot Learning 12
- Anomaly Detection Techniques and Applications 10
- Text and Document Classification Technologies 3
- Co-authors
- Jianxin Wu (9 shared papers)Xin Geng (3 shared papers)Hong-Yu Zhou (4 shared papers)Chao Xing (2 shared papers)Chen-Wei Xie (1 shared paper)Chengjie Wang (16 shared papers)Jianfei Cai (1 shared paper)Yu Zhang (1 shared paper)
In The Last Decade
Bin-Bin Gao
32 papers receiving 1.2k citations
Bin-Bin Gao's Hit Papers
Peers
Comparison fields: 5 of 107
- Computer Vision and Pattern Recognition 735
- Artificial Intelligence 664
- Signal Processing 133
- Media Technology 75
- Dermatology 44
Countries citing papers authored by Bin-Bin Gao
This map shows the geographic impact of Bin-Bin Gao'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-Bin Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin-Bin Gao more than expected).
Fields of papers citing papers by Bin-Bin Gao
This network shows the impact of papers produced by Bin-Bin Gao. 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-Bin Gao. The network helps show where Bin-Bin Gao may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin-Bin Gao, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep Label Distribution Learning With Label Ambiguity Hit paper breakdown → | 2017 | 391 |
| 2 | 2016 | 144 | |
| 3 | 2018 | 127 | |
| 4 | 2021 | 102 | |
| 5 | 2015 | 79 | |
| 6 | 2024 | 56 | |
| 7 | 2022 | 34 | |
| 8 | 2015 | 29 | |
| 9 | 2022 | 24 | |
| 10 | 2015 | 24 | |
| 11 | 2023 | 24 | |
| 12 | 2024 | 23 | |
| 13 | 2017 | 21 | |
| 14 | 2023 | 15 | |
| 15 | 2024 | 12 | |
| 16 | 2023 | 12 | |
| 17 | 2022 | 11 | |
| 18 | 2023 | 9 | |
| 19 | 2024 | 9 | |
| 20 | 2024 | 8 |
About Bin-Bin Gao
Bin-Bin Gao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Media Technology and Control and Systems Engineering, having authored 34 papers that have together received 1.2k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (12 papers), Advanced Image and Video Retrieval Techniques (12 papers), Anomaly Detection Techniques and Applications (10 papers), Multimodal Machine Learning Applications (6 papers), Advanced Neural Network Applications (6 papers), Human Pose and Action Recognition (4 papers), COVID-19 diagnosis using AI (3 papers) and Text and Document Classification Technologies (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (735 citations), Artificial Intelligence (664 citations), Signal Processing (133 citations), Media Technology (75 citations) and Dermatology (44 citations). Bin-Bin Gao has collaborated with scholars based in China, Hong Kong and Singapore. Frequent co-authors include Jianxin Wu, Xin Geng, Hong-Yu Zhou, Chao Xing, Chen-Wei Xie, Chengjie Wang, Jianfei Cai, Yu Zhang, Hao Yang and Joey Tianyi Zhou. Their work appears in journals such as Pattern Recognition, IEEE Transactions on Multimedia, IEEE Transactions on Image Processing, Lecture notes in computer science and Scientia Sinica Informationis.
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.