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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:

POS-BERT: Point cloud one-stage BERT pre-training
Kexue Fu, Peng Gao, Shaolei Liu, et al.
Expert Systems with Applications (2023) Vol. 240, pp. 122563-122563
Open Access | Times Cited: 12

Showing 12 citing articles:

Prompt, Generate, Then Cache: Cascade of Foundation Models Makes Strong Few-Shot Learners
Renrui Zhang, Xiangfei Hu, Bohao Li, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 15211-15222
Open Access | Times Cited: 79
PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning
Xiangyang Zhu, Renrui Zhang, Bowei He, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 2639-2650
Open Access | Times Cited: 65
Learning 3D Representations from 2D Pre-Trained Models via Image-to-Point Masked Autoencoders
Renrui Zhang, Liuhui Wang, Yu Qiao, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 21769-21780
Open Access | Times Cited: 61
PiMAE: Point Cloud and Image Interactive Masked Autoencoders for 3D Object Detection
Anthony Chen, Kevin Zhang, Renrui Zhang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 5291-5301
Open Access | Times Cited: 45
Masked Autoencoder for Self-Supervised Pre-training on Lidar Point Clouds
Georg Hess, Johan Jaxing, Elias Svensson, et al.
(2023), pp. 350-359
Open Access | Times Cited: 24
Denoise yourself: Self-supervised point cloud upsampling with pretrained denoising
Ji-Hyeon Hur, Soonjo Kwon, Hyungki Kim
Expert Systems with Applications (2025), pp. 126638-126638
Closed Access
Exploring multi-scale and cross-type features in 3D point cloud learning with CCMNET
Wei Zhou, Wenjie Jin, Dekui Wang, et al.
Expert Systems with Applications (2025), pp. 126960-126960
Closed Access
ModelNet-O: A large-scale synthetic dataset for occlusion-aware point cloud classification
Zhongbin Fang, Xia Li, Xiangtai Li, et al.
Computer Vision and Image Understanding (2024) Vol. 246, pp. 104060-104060
Open Access | Times Cited: 1
Convolutional point transformer for semantic segmentation of sewer sonar point clouds
Chen Li, Hanlin Li, Ke Chen
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109456-109456
Closed Access | Times Cited: 1
Masked Autoencoders in Computer Vision: A Comprehensive Survey
Zexian Zhou, Xiaojing Liu
IEEE Access (2023) Vol. 11, pp. 113560-113579
Open Access | Times Cited: 2
Automatic Categorization of GitHub Actions with Transformers and Few-shot Learning
Phuong T. Nguyen, Juri Di Rocco, Claudio Di Sipio, et al.
(2024), pp. 468-474
Closed Access
Point Cloud Pre-trained Models and Large Models
Wei Gao, Ge Li
(2024), pp. 195-225
Closed Access
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