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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

3D Convolutional Neural Networks for Human Action Recognition
Shuiwang Ji, Wei Xu, Ming Yang, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2012) Vol. 35, Iss. 1, pp. 221-231
Closed Access | Times Cited: 5852

Showing 1-25 of 5852 citing articles:

Deep learning in neural networks: An overview
Jürgen Schmidhuber
Neural Networks (2014) Vol. 61, pp. 85-117
Open Access | Times Cited: 16666
Learning Spatiotemporal Features with 3D Convolutional Networks
Du Tran, Lubomir Bourdev, Rob Fergus, et al.
(2015), pp. 4489-4497
Open Access | Times Cited: 8705
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
João Carreira, Andrew Zisserman
(2017)
Open Access | Times Cited: 8103
Large-Scale Video Classification with Convolutional Neural Networks
Andrej Karpathy, George Toderici, Sanketh Shetty, et al.
2009 IEEE Conference on Computer Vision and Pattern Recognition (2014)
Open Access | Times Cited: 6072
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Wenzhe Shi, José Caballero, Ferenc Huszár, et al.
(2016), pp. 1874-1883
Open Access | Times Cited: 5996
Recent advances in convolutional neural networks
Jiuxiang Gu, Zhenhua Wang, Jason Kuen, et al.
Pattern Recognition (2017) Vol. 77, pp. 354-377
Open Access | Times Cited: 5173
Two-Stream Convolutional Networks for Action Recognition in Videos
Karen Simonyan, Andrew Zisserman
arXiv (Cornell University) (2014)
Open Access | Times Cited: 5115
Long-term recurrent convolutional networks for visual recognition and description
Jeff Donahue, Lisa Anne Hendricks, Sergio Guadarrama, et al.
(2015), pp. 2625-2634
Open Access | Times Cited: 4980
Learning Deconvolution Network for Semantic Segmentation
Hyeonwoo Noh, Seunghoon Hong, Bohyung Han
(2015)
Open Access | Times Cited: 3887
A Discriminative Feature Learning Approach for Deep Face Recognition
Yandong Wen, Kaipeng Zhang, Zhifeng Li, et al.
Lecture notes in computer science (2016), pp. 499-515
Closed Access | Times Cited: 3751
Temporal Segment Networks: Towards Good Practices for Deep Action Recognition
Limin Wang, Yuanjun Xiong, Zhe Wang, et al.
Lecture notes in computer science (2016), pp. 20-36
Closed Access | Times Cited: 3616
VoxNet: A 3D Convolutional Neural Network for real-time object recognition
Daniel Maturana, Sebastian Scherer
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2015), pp. 922-928
Closed Access | Times Cited: 3265
A Closer Look at Spatiotemporal Convolutions for Action Recognition
Du Tran, Heng Wang, Lorenzo Torresani, et al.
(2018)
Open Access | Times Cited: 3061
Convolutional Two-Stream Network Fusion for Video Action Recognition
Christoph Feichtenhofer, Axel Pinz, Andrew Zisserman
(2016)
Open Access | Times Cited: 2612
A survey of the recent architectures of deep convolutional neural networks
Asifullah Khan, Anabia Sohail, Umme Zahoora, et al.
Artificial Intelligence Review (2020) Vol. 53, Iss. 8, pp. 5455-5516
Closed Access | Times Cited: 2471
Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?
Kensho Hara, Hirokatsu Kataoka, Yutaka Satoh
(2018)
Open Access | Times Cited: 2035
Optimizing FPGA-based Accelerator Design for Deep Convolutional Neural Networks
Chen Zhang, Peng Li, Guangyu Sun, et al.
(2015)
Closed Access | Times Cited: 2002
Beyond short snippets: Deep networks for video classification
Joe Yue-Hei Ng, Matthew Hausknecht, Sudheendra Vijayanarasimhan, et al.
(2015), pp. 4694-4702
Open Access | Times Cited: 1914
Learning Spatio-Temporal Representation with Pseudo-3D Residual Networks
Zhaofan Qiu, Ting Yao, Tao Mei
(2017)
Open Access | Times Cited: 1662
Unsupervised Learning of Video Representations using LSTMs
Nitish Srivastava, Elman Mansimov, Ruslan Salakhudinov
International Conference on Machine Learning (2015), pp. 843-852
Closed Access | Times Cited: 1606
Two-Stream Convolutional Networks for Action Recognition in Videos
Karen Simonyan, Andrew Zisserman
arXiv (Cornell University) (2014)
Closed Access | Times Cited: 1546
Long-Term Recurrent Convolutional Networks for Visual Recognition and Description
Jeff Donahue, Lisa Anne Hendricks, Marcus Rohrbach, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2016) Vol. 39, Iss. 4, pp. 677-691
Open Access | Times Cited: 1521
Deep Learning in Mobile and Wireless Networking: A Survey
Chaoyun Zhang, Paul Patras, Hamed Haddadi
IEEE Communications Surveys & Tutorials (2019) Vol. 21, Iss. 3, pp. 2224-2287
Open Access | Times Cited: 1499
MSR-VTT: A Large Video Description Dataset for Bridging Video and Language
Jun Xu, Tao Mei, Ting Yao, et al.
(2016), pp. 5288-5296
Closed Access | Times Cited: 1482
An Introduction to Convolutional Neural Networks
Keiron O’Shea, Ryan Nash
(2015)
Closed Access | Times Cited: 1341
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