Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
ImageNet: A large-scale hierarchical image database
200935.4k citationsJia Deng, Wei Dong et al.2009 IEEE Conference on Computer Vision and Pattern Recognitionprofile →
ImageNet Large Scale Visual Recognition Challenge
201523.7k citationsOlga Russakovsky, Jia Deng et al.International Journal of Computer Visionprofile →
Large-Scale Video Classification with Convolutional Neural Networks
20144.2k citationsAndrej Karpathy, Thomas Leung et al.profile →
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations
20173.0k citationsRanjay Krishna, Yuke Zhu et al.International Journal of Computer Visionprofile →
Deep visual-semantic alignments for generating image descriptions
20152.8k citationsAndrej Karpathy, Li Fei-Feiprofile →
A Bayesian Hierarchical Model for Learning Natural Scene Categories
20052.5k citationsLi Fei-Fei, Pietro Peronaprofile →
Social LSTM: Human Trajectory Prediction in Crowded Spaces
20162.1k citationsAlexandre Alahi, Li Fei-Fei et al.Infoscience (Ecole Polytechnique Fédérale de Lausanne)profile →
3D Object Representations for Fine-Grained Categorization
20131.9k citationsJonathan Krause, Jia Deng et al.profile →
One-shot learning of object categories
20061.9k citationsLi Fei-Fei, Rob Fergus et al.profile →
ImageNet: A large-scale hierarchical image database
20091.8k citationsLi-Jia Li, Li Fei-Fei et al.2009 IEEE Conference on Computer Vision and Pattern Recognitionprofile →
Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories
20071.4k citationsLi Fei-Fei, Rob Fergus et al.profile →
Unsupervised Learning of Human Action Categories Using Spatial-Temporal Words
20081.0k citationsJuan Carlos Niebles, Li Fei-Fei et al.International Journal of Computer Visionprofile →
This map shows the geographic impact of Li Fei-Fei'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 Li Fei-Fei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Fei-Fei more than expected).
This network shows the impact of papers produced by Li Fei-Fei. 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 Li Fei-Fei. The network helps show where Li Fei-Fei may publish in the future.
Co-authorship network of co-authors of Li Fei-Fei
This figure shows the co-authorship network connecting the top 25 collaborators of Li Fei-Fei.
A scholar is included among the top collaborators of Li Fei-Fei based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Li Fei-Fei. Li Fei-Fei is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Luo, Zelun, et al.. (2021). MOMA: Multi-Object Multi-Actor Activity Parsing. Neural Information Processing Systems. 34.7 indexed citations
6.
Wang, Yunbo, et al.. (2019). Eidetic 3D LSTM: A Model for Video Prediction and Beyond. International Conference on Learning Representations.111 indexed citations
7.
Fang, Kuan, Yuke Zhu, Animesh Garg, Silvio Savarese, & Li Fei-Fei. (2019). Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation.. 42–52.5 indexed citations
8.
Zhou, Sharon, et al.. (2019). HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models. Neural Information Processing Systems. 32. 3444–3456.10 indexed citations
9.
Liu, Bingbin, Michelle Guo, Edward Chou, et al.. (2018). 3D Point Cloud-Based Visual Prediction of ICU Mobility Care Activities.. 17–29.5 indexed citations
10.
Haque, Albert, Michelle Guo, Alexandre Alahi, et al.. (2017). Towards Vision-Based Smart Hospitals: A System for Tracking and Monitoring Hand Hygiene Compliance. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 75–87.7 indexed citations
11.
Luo, Zelun, et al.. (2017). Graph Distillation for Action Detection with Privileged Information.. arXiv (Cornell University).2 indexed citations
12.
Luo, Zelun, Yuliang Zou, Judy Hoffman, & Li Fei-Fei. (2017). Label efficient learning of transferable representations across domains and tasks. Neural Information Processing Systems. 30. 164–176.64 indexed citations
13.
Jiang, Lu, Zhengyuan Zhou, Thomas Leung, Li-Jia Li, & Li Fei-Fei. (2017). MentorNet: Regularizing Very Deep Neural Networks on Corrupted Labels. arXiv (Cornell University).21 indexed citations
Russakovsky, Olga, Jia Deng, Hao Su, et al.. (2015). ImageNet Large Scale Visual Recognition Challenge. International Journal of Computer Vision. 115(3). 211–252.23680 indexed citations breakdown →
16.
Deng, Jia, Wei Dong, Richard Socher, et al.. (2009). ImageNet: A large-scale hierarchical image database. 2009 IEEE Conference on Computer Vision and Pattern Recognition. 248–255.35367 indexed citations breakdown →
17.
Fei-Fei, Li. (2009). Study on changes of sensory, physical and chemical properties and the total number of colonies, and the mutual relationship between them during meat storage. Food Science and Technology International.1 indexed citations
18.
Yao, Bangpeng, Dirk B. Walther, Diane M. Beck, & Li Fei-Fei. (2009). Hierarchical Mixture of Classification Experts Uncovers Interactions between Brain Regions. Neural Information Processing Systems. 22. 2178–2186.12 indexed citations
19.
Papadimitriou, Spiros, Li Fei-Fei, George Kollios, & Philip S. Yu. (2007). Time series compressibility and privacy. Very Large Data Bases. 459–470.74 indexed citations
20.
Fei-Fei, Li, Rob Fergus, & Pietro Perona. (2003). A Bayesian Approach to Unsupervised One-Shot Learning of Object Categories.256 indexed citations
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.