Binbin Lin
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- Electrocatalysts for Energy Conversion 5
- Catalysis top 10%
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- Face and Expression Recognition 9
- Advanced Image and Video Retrieval Techniques 7
- Image Retrieval and Classification Techniques 6
- Advanced Neural Network Applications 5
- Electrochemistry top 10%
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- Sparse and Compressive Sensing Techniques 4
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- Advanced battery technologies research 4
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- Domain Adaptation and Few-Shot Learning 3
- Cited by
- Renewable Energy, Sustainability and the EnvironmentCatalysisComputer Vision and Pattern Recognition
- Journals
- Neurocomputing (4 papers)Pattern Recognition (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Binbin Lin
33 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Renewable Energy, Sustainability and the Environment 541
- Catalysis 106
- Computer Vision and Pattern Recognition 299
- Electrochemistry 80
- Energy Engineering and Power Technology 22
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 15 | |
| 4 | 2023 | 67 | |
| 5 | 2023 | 15 | |
| 6 | CrossFormer++: A Versatile Vision Transformer Hinging on Cross-Scale Attentionbreakdown → | 2023 | 157 |
| 7 | 2023 | 2 | |
| 8 | 2022 | 3 | |
| 9 | 2022 | 46 | |
| 10 | Reversible hydrogen spillover in Ru-WO3-x enhances hydrogen evolution activity in neutral pH water splittingbreakdown → | 2022 | 464 |
| 11 | 2022 | 27 | |
| 12 | 2021 | 38 | |
| 13 | 2020 | 92 | |
| 14 | 2017 | 24 | |
| 15 | 2014 | 1 | |
| 16 | Parallel vector field embedding | 2013 | 18 |
| 17 | 2012 | 2 | |
| 18 | 2012 | 8 | |
| 19 | Multi-task Vector Field Learning. | 2012 | 8 |
| 20 | 2011 | 1 |
About Binbin Lin
Binbin Lin is a scholar working on Computer Vision and Pattern Recognition, Structural Biology and Renewable Energy, Sustainability and the Environment, having authored 34 papers that have together received 1.2k indexed citations. Recurring topics across this work include Face and Expression Recognition (9 papers), Advanced Image and Video Retrieval Techniques (7 papers), Image Retrieval and Classification Techniques (6 papers), Electrocatalysts for Energy Conversion (5 papers), Advanced Neural Network Applications (5 papers), Sparse and Compressive Sensing Techniques (4 papers), Advanced battery technologies research (4 papers) and Domain Adaptation and Few-Shot Learning (3 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (541 citations), Catalysis (106 citations) and Computer Vision and Pattern Recognition (299 citations). Binbin Lin has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yong Wang, Minkai Qin, Jiadong Chen, Xiaofei He, Bin Liu, Chunhong Chen, Ben Li, Qing Mao, Hongbin Yang and Boxi Wu. Their work appears in journals such as Neurocomputing, Pattern Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Knowledge and Data Engineering and Scientific Reports.
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.