Binbin Lin
Impact in
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- Advanced Neural Network Applications
- Multimodal Machine Learning Applications
- Face and Expression Recognition
- Advanced Image and Video Retrieval Techniques
- Automotive Engineering top 10%
- Autonomous Vehicle Technology and Safety
Papers in
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- Advanced Neural Network Applications 12
- Face and Expression Recognition 10
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- Machine Learning and Algorithms 5
- Co-authors
- Xiaofei He (19 shared papers)Boxi Wu (9 shared papers)Wenxiao Wang (6 shared papers)Qibo Qiu (3 shared papers)Wenxiao Wang (3 shared papers)Long Chen (1 shared paper)Wei Chen (1 shared paper)Wei Liu (2 shared papers)
- Journals
- INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY (4 papers)Neurocomputing (4 papers)IEEE Transactions on Image Processing (3 papers)IEEE Transactions on Knowledge and Data Engineering (2 papers)Journal of Crystal Growth (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Binbin Lin
64 papers receiving 1.1k citations
Binbin Lin's Hit Papers
Peers
Comparison fields: 5 of 93
- Computer Vision and Pattern Recognition 532
- Automotive Engineering 53
- Artificial Intelligence 169
- Computational Mechanics 98
- Media Technology 37
Countries citing papers authored by Binbin Lin
This map shows the geographic impact of Binbin Lin'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 Binbin Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Binbin Lin more than expected).
Fields of papers citing papers by Binbin Lin
This network shows the impact of papers produced by Binbin Lin. 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 Binbin Lin. The network helps show where Binbin Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Binbin Lin, 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | CrossFormer++: A Versatile Vision Transformer Hinging on Cross-Scale Attention Hit paper breakdown → | 2023 | 207 |
| 2 | CLIP is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation Hit paper breakdown → | 2023 | 156 |
| 3 | 2013 | 69 | |
| 4 | 2023 | 59 | |
| 5 | 2023 | 56 | |
| 6 | 2017 | 46 | |
| 7 | 2023 | 31 | |
| 8 | 2024 | 30 | |
| 9 | 2024 | 30 | |
| 10 | 2009 | 26 | |
| 11 | 2011 | 20 | |
| 12 | Semi-supervised Regression via Parallel Field Regularization | 2012 | 19 |
| 13 | Parallel vector field embedding | 2014 | 18 |
| 14 | 2021 | 18 | |
| 15 | 2023 | 18 | |
| 16 | 2024 | 18 | |
| 17 | 2012 | 17 | |
| 18 | 2011 | 16 | |
| 19 | 2019 | 15 | |
| 20 | 2012 | 13 |
About Binbin Lin
Binbin Lin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biotechnology, Computational Mechanics and Complementary and alternative medicine, having authored 70 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (12 papers), Face and Expression Recognition (10 papers), Phytochemistry and Biological Activities (7 papers), Machine Learning and Algorithms (5 papers), 3D Shape Modeling and Analysis (4 papers), Genomics and Phylogenetic Studies (4 papers), Marine Sponges and Natural Products (4 papers) and Microbial Community Ecology and Physiology (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (532 citations), Automotive Engineering (53 citations), Artificial Intelligence (169 citations), Computational Mechanics (98 citations) and Media Technology (37 citations). Binbin Lin has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xiaofei He, Boxi Wu, Wenxiao Wang, Qibo Qiu, Wenxiao Wang, Long Chen, Wei Chen, Wei Liu, Deng Cai and Ke Li. Their work appears in journals such as INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Neurocomputing, IEEE Transactions on Image Processing, IEEE Transactions on Knowledge and Data Engineering and Journal of Crystal Growth.
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.