Jonathan Long
Impact in
- Computer Vision and Pattern Recognition top 0.05%
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Medical Image Segmentation Techniques
- Media Technology top 0.1%
- Remote-Sensing Image Classification
Papers in
-
- Advanced Neural Network Applications 4
- Advanced Image and Video Retrieval Techniques 3
- Image Retrieval and Classification Techniques 3
- Multimodal Machine Learning Applications 3
- Human Pose and Action Recognition 1
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- Domain Adaptation and Few-Shot Learning 2
- AI in cancer detection 2
- Co-authors
- Trevor Darrell (5 shared papers)Evan Shelhamer (2 shared papers)Sergio Guadarrama (2 shared papers)Sergey Karayev (2 shared papers)Yangqing Jia (2 shared papers)Jeff Donahue (1 shared paper)Ross Girshick (1 shared paper)Ning Zhang (1 shared paper)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)eScholarship (California Digital Library) (1 paper)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (2 papers)2011 IEEE/RSJ International Conference on Intelligent Robots and Systems (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United States
In The Last Decade
Jonathan Long
8 papers receiving 15.9k citations
Jonathan Long's Hit Papers
Peers
Comparison fields: 5 of 200
- Computer Vision and Pattern Recognition 9.8k
- Media Technology 2.0k
- Artificial Intelligence 4.0k
- Radiology, Nuclear Medicine and Imaging 1.8k
- Neurology 552
Countries citing papers authored by Jonathan Long
This map shows the geographic impact of Jonathan Long'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 Jonathan Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Long more than expected).
Fields of papers citing papers by Jonathan Long
This network shows the impact of papers produced by Jonathan Long. 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 Jonathan Long. The network helps show where Jonathan Long may publish in the future.
Co-authors
The 18 scholars most cited alongside Jonathan Long, 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 | Fully Convolutional Networks for Semantic Segmentation Hit paper breakdown → | 2016 | 8500 |
| 2 | Caffe Hit paper breakdown → | 2014 | 7779 |
| 3 | 2014 | 107 | |
| 4 | 2011 | 13 | |
| 5 | Large scale visual recognition through adaptation using joint representation and multiple instance learning | 2016 | 8 |
| 6 | 2006 | 7 | |
| 7 | 2005 | 5 | |
| 8 | Understanding and Designing Convolutional Networks for Local Recognition Problems | 2016 | 1 |
About Jonathan Long
Jonathan Long is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 8 papers that have together received 16.4k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (4 papers), Advanced Image and Video Retrieval Techniques (3 papers), Image Retrieval and Classification Techniques (3 papers), Multimodal Machine Learning Applications (3 papers), Domain Adaptation and Few-Shot Learning (2 papers), AI in cancer detection (2 papers), Human Pose and Action Recognition (1 paper) and Biomedical Text Mining and Ontologies (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (9.8k citations), Media Technology (2.0k citations), Artificial Intelligence (4.0k citations), Radiology, Nuclear Medicine and Imaging (1.8k citations) and Neurology (552 citations). Jonathan Long has collaborated with scholars based in United States. Frequent co-authors include Trevor Darrell, Evan Shelhamer, Sergio Guadarrama, Sergey Karayev, Yangqing Jia, Jeff Donahue, Ross Girshick, Ning Zhang, Kate Saenko and George R. Thoma. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, eScholarship (California Digital Library), Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems and arXiv (Cornell University).
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.