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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:

Relation-Shape Convolutional Neural Network for Point Cloud Analysis
Yongcheng Liu, Bin Fan, Shiming Xiang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019), pp. 8887-8896
Closed Access | Times Cited: 862

Showing 1-25 of 862 citing articles:

Deep Learning for 3D Point Clouds: A Survey
Yulan Guo, Hanyun Wang, Qingyong Hu, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2020) Vol. 43, Iss. 12, pp. 4338-4364
Open Access | Times Cited: 1630
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
Qingyong Hu, Bo Yang, Linhai Xie, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020)
Open Access | Times Cited: 1523
PCT: Point cloud transformer
Meng-Hao Guo, Jun-Xiong Cai, Zheng-Ning Liu, et al.
Computational Visual Media (2021) Vol. 7, Iss. 2, pp. 187-199
Open Access | Times Cited: 1317
PointASNL: Robust Point Clouds Processing Using Nonlocal Neural Networks With Adaptive Sampling
Yan Xu, Chaoda Zheng, Zhen Li, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020), pp. 5588-5597
Open Access | Times Cited: 556
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: 447
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review
Ying Li, Lingfei Ma, Zilong Zhong, et al.
IEEE Transactions on Neural Networks and Learning Systems (2020) Vol. 32, Iss. 8, pp. 3412-3432
Open Access | Times Cited: 408
PF-Net: Point Fractal Network for 3D Point Cloud Completion
Zitian Huang, Yikuan Yu, Jiawen Xu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020)
Open Access | Times Cited: 389
PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds
Mutian Xu, Runyu Ding, Hengshuang Zhao, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
Open Access | Times Cited: 350
PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers
Xumin Yu, Yongming Rao, Ziyi Wang, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021), pp. 12478-12487
Open Access | Times Cited: 331
Stratified Transformer for 3D Point Cloud Segmentation
Xin Lai, Jianhui Liu, Li Jiang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022)
Open Access | Times Cited: 316
DeepVCP: An End-to-End Deep Neural Network for Point Cloud Registration
Weixin Lu, Guowei Wan, Yao Zhou, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2019), pp. 12-21
Open Access | Times Cited: 308
Morphing and Sampling Network for Dense Point Cloud Completion
Minghua Liu, Lu Sheng, Sheng Yang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2020) Vol. 34, Iss. 07, pp. 11596-11603
Open Access | Times Cited: 284
GRNet: Gridding Residual Network for Dense Point Cloud Completion
Haozhe Xie, Hongxun Yao, Shangchen Zhou, et al.
Lecture notes in computer science (2020), pp. 365-381
Closed Access | Times Cited: 277
Review: Deep Learning on 3D Point Clouds
Saifullahi Aminu Bello, Shangshu Yu, Cheng Wang, et al.
Remote Sensing (2020) Vol. 12, Iss. 11, pp. 1729-1729
Open Access | Times Cited: 264
DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing
Yongcheng Liu, Bin Fan, Gaofeng Meng, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2019), pp. 5238-5247
Open Access | Times Cited: 263
Masked Autoencoders for Point Cloud Self-supervised Learning
Yatian Pang, Wenxiao Wang, Francis E. H. Tay, et al.
Lecture notes in computer science (2022), pp. 604-621
Closed Access | Times Cited: 256
View-GCN: View-Based Graph Convolutional Network for 3D Shape Analysis
Xin Wei, Ruixuan Yu, Jian Sun
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020), pp. 1847-1856
Closed Access | Times Cited: 247
Not All Points Are Equal: Learning Highly Efficient Point-based Detectors for 3D LiDAR Point Clouds
Yifan Zhang, Qingyong Hu, Guoquan Xu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022)
Open Access | Times Cited: 239
Grid-GCN for Fast and Scalable Point Cloud Learning
Qiangeng Xu, Xudong Sun, Cho-Ying Wu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020), pp. 5660-5669
Open Access | Times Cited: 227
PointCLIP: Point Cloud Understanding by CLIP
Renrui Zhang, Ziyu Guo, Wei Zhang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 8542-8552
Open Access | Times Cited: 225
Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis
Tiange Xiang, Chaoyi Zhang, Yang Song, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021)
Open Access | Times Cited: 207
Convolution in the Cloud: Learning Deformable Kernels in 3D Graph Convolution Networks for Point Cloud Analysis
Zhihao Lin, Shengyu Huang, Yu-Chiang Frank Wang
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020), pp. 1797-1806
Closed Access | Times Cited: 203
Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion
Shi Qiu, Saeed Anwar, Nick Barnes
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
Open Access | Times Cited: 196
Geometric Back-Projection Network for Point Cloud Classification
Shi Qiu, Saeed Anwar, Nick Barnes
IEEE Transactions on Multimedia (2021) Vol. 24, pp. 1943-1955
Open Access | Times Cited: 191
LiDAR R-CNN: An Efficient and Universal 3D Object Detector
Zhichao Li, Feng Wang, Naiyan Wang
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021), pp. 7542-7551
Open Access | Times Cited: 190
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