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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:

PointConv: Deep Convolutional Networks on 3D Point Clouds
Wenxuan Wu, Zhongang Qi, Fuxin Li
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019), pp. 9613-9622
Open Access | Times Cited: 1617

Showing 1-25 of 1617 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
PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection
Shaoshuai Shi, Chaoxu Guo, Li Jiang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020), pp. 10526-10535
Open Access | Times Cited: 1491
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
Point Transformer
Hengshuang Zhao, Li Jiang, Jiaya Jia, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021)
Closed Access | Times Cited: 1248
From Points to Parts: 3D Object Detection from Point Cloud with Part-aware and Part-aggregation Network
Shaoshuai Shi, Zhe Wang, Jianping Shi, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2020), pp. 1-1
Open Access | Times Cited: 713
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
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
Haotian Tang, Zhijian Liu, Shengyu Zhao, et al.
Lecture notes in computer science (2020), pp. 685-702
Closed Access | Times Cited: 500
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
Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation
Xinge Zhu, Hui Zhou, Tai Wang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
Open Access | Times Cited: 380
Linking Points With Labels in 3D: A Review of Point Cloud Semantic Segmentation
Yuxing Xie, Jiaojiao Tian, Xiao Xiang Zhu
IEEE Geoscience and Remote Sensing Magazine (2020) Vol. 8, Iss. 4, pp. 38-59
Open Access | Times Cited: 361
Deep Learning for Image and Point Cloud Fusion in Autonomous Driving: A Review
Yaodong Cui, Ren Chen, Wenbo Chu, et al.
IEEE Transactions on Intelligent Transportation Systems (2021) Vol. 23, Iss. 2, pp. 722-739
Open Access | Times Cited: 351
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
PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation
Li Jiang, Hengshuang Zhao, Shaoshuai Shi, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020)
Open Access | Times Cited: 344
An End-to-End Transformer Model for 3D Object Detection
Ishan Misra, Rohit Girdhar, Armand Joulin
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021), pp. 2886-2897
Open Access | Times Cited: 333
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
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
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection
Shaoshuai Shi, Li Jiang, Jiajun Deng, et al.
International Journal of Computer Vision (2022) Vol. 131, Iss. 2, pp. 531-551
Open Access | Times Cited: 268
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
Interpolated Convolutional Networks for 3D Point Cloud Understanding
Jiageng Mao, Xiaogang Wang, Hongsheng Li
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2019), pp. 1578-1587
Open Access | Times Cited: 230
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
SCF-Net: Learning Spatial Contextual Features for Large-Scale Point Cloud Segmentation
Siqi Fan, Qiulei Dong, Fenghua Zhu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
Closed Access | Times Cited: 213
Point Cloud Semantic Segmentation Using a Deep Learning Framework for Cultural Heritage
Roberto Pierdicca, Marina Paolanti, Francesca Matrone, et al.
Remote Sensing (2020) Vol. 12, Iss. 6, pp. 1005-1005
Open Access | Times Cited: 212
Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways
Weikai Tan, Nannan Qin, Lingfei Ma, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2020), pp. 797-806
Open Access | Times Cited: 208
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
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