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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:

Transformers in Vision: A Survey
Salman Khan, Muzammal Naseer, Munawar Hayat, et al.
ACM Computing Surveys (2022) Vol. 54, Iss. 10s, pp. 1-41
Open Access | Times Cited: 1931

Showing 1-25 of 1931 citing articles:

Restormer: Efficient Transformer for High-Resolution Image Restoration
Syed Waqas Zamir, Aditya Arora, Salman Khan, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022)
Open Access | Times Cited: 1707
Attention mechanisms in computer vision: A survey
Meng-Hao Guo, Tian-Xing Xu, Jiangjiang Liu, et al.
Computational Visual Media (2022) Vol. 8, Iss. 3, pp. 331-368
Open Access | Times Cited: 1506
TransReID: Transformer-based Object Re-Identification
Shuting He, Hao Luo, Pichao Wang, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021), pp. 14993-15002
Open Access | Times Cited: 667
A survey of transformers
Tianyang Lin, Yuxin Wang, Xiangyang Liu, et al.
AI Open (2022) Vol. 3, pp. 111-132
Open Access | Times Cited: 661
Transformers in medical imaging: A survey
Fahad Shamshad, Salman Khan, Syed Waqas Zamir, et al.
Medical Image Analysis (2023) Vol. 88, pp. 102802-102802
Open Access | Times Cited: 585
Dynamic Neural Networks: A Survey
Yizeng Han, Gao Huang, Shiji Song, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2021) Vol. 44, Iss. 11, pp. 7436-7456
Open Access | Times Cited: 450
Beyond Self-Attention: External Attention Using Two Linear Layers for Visual Tasks
Meng-Hao Guo, Zheng-Ning Liu, Tai‐Jiang Mu, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022), pp. 1-13
Open Access | Times Cited: 443
Deep Neural Networks and Tabular Data: A Survey
Vadim Borisov, Tobias Leemann, Kathrin Seßler, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 6, pp. 7499-7519
Open Access | Times Cited: 441
A Transformer-Based Siamese Network for Change Detection
Wele Gedara Chaminda Bandara, Vishal M. Patel
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2022)
Open Access | Times Cited: 441
3D Human Pose Estimation with Spatial and Temporal Transformers
Ce Zheng, Sijie Zhu, Matías Mendieta, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021), pp. 11636-11645
Open Access | Times Cited: 395
A survey of human-in-the-loop for machine learning
Xingjiao Wu, Luwei Xiao, Yixuan Sun, et al.
Future Generation Computer Systems (2022) Vol. 135, pp. 364-381
Open Access | Times Cited: 391
The multi-modal fusion in visual question answering: a review of attention mechanisms
Siyu Lu, Mingzhe Liu, Lirong Yin, et al.
PeerJ Computer Science (2023) Vol. 9, pp. e1400-e1400
Open Access | Times Cited: 388
MaxViT: Multi-axis Vision Transformer
Zhengzhong Tu, Hossein Talebi, Han Zhang, et al.
Lecture notes in computer science (2022), pp. 459-479
Closed Access | Times Cited: 372
Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling
Xumin Yu, Lulu Tang, Yongming Rao, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 19291-19300
Open Access | Times Cited: 370
Multimodal Learning With Transformers: A Survey
Peng Xu, Xiatian Zhu, David A. Clifton
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) Vol. 45, Iss. 10, pp. 12113-12132
Open Access | Times Cited: 345
Human Action Recognition From Various Data Modalities: A Review
Zehua Sun, Qiuhong Ke, Hossein Rahmani, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022), pp. 1-20
Open Access | Times Cited: 343
Understanding Robustness of Transformers for Image Classification
Srinadh Bhojanapalli, Ayan Chakrabarti, Daniel Gläsner, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021), pp. 10211-10221
Open Access | Times Cited: 282
SNR-Aware Low-light Image Enhancement
Xiaogang Xu, Ruixing Wang, Chi‐Wing Fu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022)
Closed Access | Times Cited: 251
A Survey of Visual Transformers
Yang Liu, Yao Zhang, Yixin Wang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 6, pp. 7478-7498
Open Access | Times Cited: 250
GAN-based anomaly detection: A review
Xuan Xia, Xizhou Pan, Nan Li, et al.
Neurocomputing (2022) Vol. 493, pp. 497-535
Closed Access | Times Cited: 235
Curriculum Learning: A Survey
Petru Soviany, Radu Tudor Ionescu, Paolo Rota, et al.
International Journal of Computer Vision (2022) Vol. 130, Iss. 6, pp. 1526-1565
Closed Access | Times Cited: 224
Mesh Graphormer
Kevin Lin, Lijuan Wang, Zicheng Liu
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021), pp. 12919-12928
Closed Access | Times Cited: 218
Multimodal Fusion Transformer for Remote Sensing Image Classification
Swalpa Kumar Roy, Ankur Deria, Danfeng Hong, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-20
Open Access | Times Cited: 216
Transformer and CNN Hybrid Deep Neural Network for Semantic Segmentation of Very-High-Resolution Remote Sensing Imagery
Cheng Zhang, Wanshou Jiang, Yuan Zhang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-20
Closed Access | Times Cited: 212
AutoFormer: Searching Transformers for Visual Recognition
Minghao Chen, Houwen Peng, Jianlong Fu, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021)
Open Access | Times Cited: 204
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