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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:

Feature Graph Learning for 3D Point Cloud Denoising
Wei Hu, Xiang Gao, Gene Cheung, et al.
IEEE Transactions on Signal Processing (2020) Vol. 68, pp. 2841-2856
Open Access | Times Cited: 92

Showing 1-25 of 92 citing articles:

Advancing 3D point cloud understanding through deep transfer learning: A comprehensive survey
Shahab Saquib Sohail, Yassine Himeur, Hamza Kheddar, et al.
Information Fusion (2024) Vol. 113, pp. 102601-102601
Open Access | Times Cited: 16
Score-Based Point Cloud Denoising
Shitong Luo, Wei Hu
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021)
Open Access | Times Cited: 102
Differentiable Manifold Reconstruction for Point Cloud Denoising
Shitong Luo, Wei Hu
Proceedings of the 30th ACM International Conference on Multimedia (2020), pp. 1330-1338
Open Access | Times Cited: 99
Graph Signal Processing for Geometric Data and Beyond: Theory and Applications
Wei Hu, Jiahao Pang, Xianming Liu, et al.
IEEE Transactions on Multimedia (2021) Vol. 24, pp. 3961-3977
Open Access | Times Cited: 61
Reverse Graph Learning for Graph Neural Network
Liang Peng, Rongyao Hu, Fei Kong, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 4, pp. 4530-4541
Closed Access | Times Cited: 61
Point cloud denoising review: from classical to deep learning-based approaches
Lang Zhou, Guoxing Sun, Yong Li, et al.
Graphical Models (2022) Vol. 121, pp. 101140-101140
Closed Access | Times Cited: 53
RePCD-Net: Feature-Aware Recurrent Point Cloud Denoising Network
Honghua Chen, Zeyong Wei, Xianzhi Li, et al.
International Journal of Computer Vision (2022) Vol. 130, Iss. 3, pp. 615-629
Closed Access | Times Cited: 43
Texture-Guided Graph Transform Optimization for Point Cloud Attribute Compression
Yiting Shao, Fei Song, Wei Gao, et al.
Applied Sciences (2024) Vol. 14, Iss. 10, pp. 4094-4094
Open Access | Times Cited: 11
PCDNF: Revisiting Learning-Based Point Cloud Denoising via Joint Normal Filtering
Zheng Liu, Yaowu Zhao, Sijing Zhan, et al.
IEEE Transactions on Visualization and Computer Graphics (2023) Vol. 30, Iss. 8, pp. 5419-5436
Open Access | Times Cited: 17
PathNet: Path-Selective Point Cloud Denoising
Zeyong Wei, Honghua Chen, Liangliang Nan, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 6, pp. 4426-4442
Closed Access | Times Cited: 8
MS-GraphSIM: Inferring Point Cloud Quality via Multiscale Graph Similarity
Yujie Zhang, Qi Yang, Yiling Xu
Proceedings of the 30th ACM International Conference on Multimedia (2021), pp. 1230-1238
Closed Access | Times Cited: 38
Refine-Net: Normal Refinement Neural Network for Noisy Point Clouds
Haoran Zhou, Honghua Chen, Yingkui Zhang, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022) Vol. 45, Iss. 1, pp. 946-963
Open Access | Times Cited: 27
Point cloud quality assessment based on geometry-aware texture descriptors
Rafael Diniz, Pedro Garcia Freitas, Mylène C. Q. Farias
Computers & Graphics (2022) Vol. 103, pp. 31-44
Closed Access | Times Cited: 26
Deep Point Set Resampling via Gradient Fields
Haolan Chen, Bi'an Du, Shitong Luo, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022), pp. 1-1
Open Access | Times Cited: 25
State-Space Network Topology Identification From Partial Observations
Mario Coutiño, Elvin Isufi, Takanori Maehara, et al.
IEEE Transactions on Signal and Information Processing over Networks (2020) Vol. 6, pp. 211-225
Open Access | Times Cited: 38
Deep graph learning for semi-supervised classification
Guangfeng Lin, Xiaobing Kang, Kaiyang Liao, et al.
Pattern Recognition (2021) Vol. 118, pp. 108039-108039
Open Access | Times Cited: 31
Dynamic Point Cloud Denoising via Manifold-to-Manifold Distance
Wei Hu, Qianjiang Hu, Zehua Wang, et al.
IEEE Transactions on Image Processing (2021) Vol. 30, pp. 6168-6183
Open Access | Times Cited: 28
Dynamic Point Cloud Denoising via Gradient Fields
Qianjiang Hu, Wei Hu
ACM Transactions on Multimedia Computing Communications and Applications (2025)
Open Access
PD-Flow: A Point Cloud Denoising Framework with Normalizing Flows
Aihua Mao, Zihui Du, Yu‐Hui Wen, et al.
Lecture notes in computer science (2022), pp. 398-415
Closed Access | Times Cited: 18
Graph Neural Networks in Point Clouds: A Survey
Dilong Li, Chenghui Lu, Ziyi Chen, et al.
Remote Sensing (2024) Vol. 16, Iss. 14, pp. 2518-2518
Open Access | Times Cited: 3
A Study on the 3D Reconstruction Strategy of a Sheep Body Based on a Kinect v2 Depth Camera Array
Jinxin Liang, Zhiyu Yuan, Xinhui Luo, et al.
Animals (2024) Vol. 14, Iss. 17, pp. 2457-2457
Open Access | Times Cited: 3
StraightPCF: Straight Point Cloud Filtering
Dasith de Silva Edirimuni, Xuequan Lu, Gang Li, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024), pp. 20721-20730
Closed Access | Times Cited: 3
Signed Graph Metric Learning via Gershgorin Disc Perfect Alignment
Cheng Yang, Gene Cheung, Wei Hu
IEEE Transactions on Pattern Analysis and Machine Intelligence (2021) Vol. 44, Iss. 10, pp. 7219-7234
Open Access | Times Cited: 19
Layered Projection-Based Quality Assessment of 3D Point Clouds
Tianxin Chen, Chunyi Long, Honglei Su, et al.
IEEE Access (2021) Vol. 9, pp. 88108-88120
Open Access | Times Cited: 18
PointFilterNet: A Filtering Network for Point Cloud Denoising
Xingtao Wang, Xiaopeng Fan, Debin Zhao
IEEE Transactions on Circuits and Systems for Video Technology (2022) Vol. 33, Iss. 3, pp. 1276-1290
Closed Access | Times Cited: 14
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