Yann LeCun
Impact in
- Computer Vision and Pattern Recognition top 0.01%
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Artificial Intelligence top 0.01%
- Anomaly Detection Techniques and Applications
- Neural Networks and Applications
- Domain Adaptation and Few-Shot Learning
Papers in
-
- Advanced Image and Video Retrieval Techniques 34
- Handwritten Text Recognition Techniques 24
- Advanced Neural Network Applications 20
- Image Retrieval and Classification Techniques 19
- Image Processing and 3D Reconstruction 17
- Generative Adversarial Networks and Image Synthesis 17
-
- Neural Networks and Applications 41
- Domain Adaptation and Few-Shot Learning 22
- Co-authors
- Yoshua Bengio (15 shared papers)Geoffrey E. Hinton (2 shared papers)Léon Bottou (23 shared papers)Patrick Haffner (10 shared papers)Sumit Chopra (10 shared papers)Raia Hadsell (14 shared papers)D. Henderson (9 shared papers)Bernhard E. Boser (8 shared papers)
- Journals
- Neural Computation (4 papers)Journal of Field Robotics (2 papers)IEEE Transactions on Image Processing (2 papers)Proceedings of the IEEE (2 papers)Lecture notes in computer science (16 papers)
- Partner nations
- United StatesFranceGermany
In The Last Decade
Yann LeCun
221 papers receiving 152.5k citations
Yann LeCun's Hit Papers
Peers
Comparison fields: 5 of 240
- Computer Vision and Pattern Recognition 58.7k
- Artificial Intelligence 58.9k
- Media Technology 10.1k
- Health Informatics 1.4k
- Signal Processing 11.3k
Countries citing papers authored by Yann LeCun
This map shows the geographic impact of Yann LeCun'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 Yann LeCun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yann LeCun more than expected).
Fields of papers citing papers by Yann LeCun
This network shows the impact of papers produced by Yann LeCun. 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 Yann LeCun. The network helps show where Yann LeCun may publish in the future.
Co-authors
The 25 scholars most cited alongside Yann LeCun, 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 226 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep learning Hit paper breakdown → | 2015 | 59481 |
| 2 | Gradient-based learning applied to document recognition Hit paper breakdown → | 1998 | 38900 |
| 3 | Backpropagation Applied to Handwritten Zip Code Recognition Hit paper breakdown → | 1989 | 8214 |
| 4 | Dimensionality Reduction by Learning an Invariant Mapping Hit paper breakdown → | 2006 | 3306 |
| 5 | Convolutional networks for images, speech, and time series Hit paper breakdown → | 1998 | 3296 |
| 6 | Learning a Similarity Metric Discriminatively, with Application to Face Verification Hit paper breakdown → | 2005 | 2732 |
| 7 | Handwritten Digit Recognition with a Back-Propagation Network Hit paper breakdown → | 1989 | 2608 |
| 8 | A Closer Look at Spatiotemporal Convolutions for Action Recognition Hit paper breakdown → | 2018 | 2322 |
| 9 | Geometric Deep Learning: Going beyond Euclidean data Hit paper breakdown → | 2017 | 2126 |
| 10 | Learning Hierarchical Features for Scene Labeling Hit paper breakdown → | 2012 | 2006 |
| 11 | Optimal Brain Damage Hit paper breakdown → | 1989 | 1610 |
| 12 | Convolutional networks and applications in vision Hit paper breakdown → | 2010 | 1582 |
| 13 | What is the best multi-stage architecture for object recognition? Hit paper breakdown → | 2009 | 1545 |
| 14 | SIGNATURE VERIFICATION USING A “SIAMESE” TIME DELAY NEURAL NETWORK Hit paper breakdown → | 1993 | 1529 |
| 15 | SIGNATURE VERIFICATION USING A “SIAMESE” TIME DELAY NEURAL NETWORK Hit paper breakdown → | 1994 | 1350 |
| 16 | Efficient BackProp Hit paper breakdown → | 1998 | 1047 |
| 17 | Efficient object localization using Convolutional Networks Hit paper breakdown → | 2015 | 944 |
| 18 | Learning methods for generic object recognition with invariance to pose and lighting Hit paper breakdown → | 2004 | 924 |
| 19 | Efficient BackProp Hit paper breakdown → | 2012 | 916 |
| 20 | A Theoretical Analysis of Feature Pooling in Visual Recognition Hit paper breakdown → | 2010 | 855 |
About Yann LeCun
Yann LeCun is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Aerospace Engineering and Electrical and Electronic Engineering, having authored 226 papers that have together received 159.0k indexed citations. Recurring topics across this work include Neural Networks and Applications (41 papers), Advanced Image and Video Retrieval Techniques (34 papers), Handwritten Text Recognition Techniques (24 papers), Domain Adaptation and Few-Shot Learning (22 papers), Advanced Neural Network Applications (20 papers), Image Retrieval and Classification Techniques (19 papers), Image Processing and 3D Reconstruction (17 papers) and Generative Adversarial Networks and Image Synthesis (17 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (58.7k citations), Artificial Intelligence (58.9k citations), Media Technology (10.1k citations), Health Informatics (1.4k citations) and Signal Processing (11.3k citations). Yann LeCun has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Yoshua Bengio, Geoffrey E. Hinton, Léon Bottou, Patrick Haffner, Sumit Chopra, Raia Hadsell, D. Henderson, Bernhard E. Boser, Richard Howard and L. D. Jackel. Their work appears in journals such as Neural Computation, Journal of Field Robotics, IEEE Transactions on Image Processing, Proceedings of the IEEE and Lecture notes in computer science.
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.
You can learn more about the impact of Yann LeCun by visiting their Pantheon page.