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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:

Multi-features guidance network for partial-to-partial point cloud registration
Hongyuan Wang, Xiang Liu, Wen Kang, et al.
Neural Computing and Applications (2021) Vol. 34, Iss. 2, pp. 1623-1634
Open Access | Times Cited: 21

Showing 21 citing articles:

Deep learning-based low overlap point cloud registration for complex scenario: The review
Yuehua Zhao, Jiguang Zhang, Shibiao Xu, et al.
Information Fusion (2024) Vol. 107, pp. 102305-102305
Closed Access | Times Cited: 4
A Robust Loss for Point Cloud Registration
Zhi Deng, Yuxin Yao, Bailin Deng, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021), pp. 6118-6127
Open Access | Times Cited: 21
A review of rigid point cloud registration based on deep learning
Lei Chen, Changzhou Feng, Yunpeng Ma, et al.
Frontiers in Neurorobotics (2024) Vol. 17
Open Access | Times Cited: 3
Position Awareness Network for Noncooperative Spacecraft Pose Estimation Based on Point Cloud
Xiang Liu, Hongyuan Wang, Xinlong Chen, et al.
IEEE Transactions on Aerospace and Electronic Systems (2022) Vol. 59, Iss. 1, pp. 507-518
Closed Access | Times Cited: 13
MaskNet++: Inlier/outlier identification for two point clouds
Ruqin Zhou, Hanyun Wang, Xixing Li, et al.
Computers & Graphics (2022) Vol. 103, pp. 90-100
Closed Access | Times Cited: 11
A dynamic graph aggregation framework for 3D point cloud registration
Feilong Cao, Jiatong Shi, Chenglin Wen
Engineering Applications of Artificial Intelligence (2023) Vol. 120, pp. 105817-105817
Closed Access | Times Cited: 6
Review on Deep Learning Algorithms and Benchmark Datasets for Pairwise Global Point Cloud Registration
Yang Zhao, Lei Fan
Remote Sensing (2023) Vol. 15, Iss. 8, pp. 2060-2060
Open Access | Times Cited: 6
FMAP: Learning robust and accurate local feature matching with anchor points
Kun Dai, Tao Xie, Ke Wang, et al.
Expert Systems with Applications (2023) Vol. 236, pp. 121328-121328
Closed Access | Times Cited: 6
A new method for point cloud registration: Adaptive relation-oriented convolution and recurrent correspondence-walk
Feilong Cao, Lei Zhu, Hailiang Ye, et al.
Knowledge-Based Systems (2023) Vol. 284, pp. 111280-111280
Closed Access | Times Cited: 4
SharpGConv: A Novel Graph Method with Plug-and-Play Sharpening Convolution for Point Cloud Registration
Feilong Cao, Lingpeng Wang, Hailiang Ye
IEEE Transactions on Circuits and Systems for Video Technology (2024) Vol. 34, Iss. 8, pp. 7095-7105
Closed Access | Times Cited: 1
Two-view point cloud registration network: feature and geometry
Lingpeng Wang, Bing Yang, Hailiang Ye, et al.
Applied Intelligence (2024) Vol. 54, Iss. 4, pp. 3135-3151
Closed Access | Times Cited: 1
WalkFormer: 3D mesh analysis via transformer on random walk
Qing Guo, Fazhi He, Bo Fan, et al.
Neural Computing and Applications (2023) Vol. 36, Iss. 7, pp. 3499-3511
Closed Access | Times Cited: 2
R-PCR: Recurrent Point Cloud Registration Using High-Order Markov Decision
Xiaoya Cheng, Shen Yan, Yan Liu, et al.
Remote Sensing (2023) Vol. 15, Iss. 7, pp. 1889-1889
Open Access | Times Cited: 2
GTGMM: geometry transformer and Gaussian Mixture Models for robust point cloud registration
Haibo Zhang, Linqi Hai, Haoran Sun, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 33, pp. 79757-79783
Closed Access
RCFI-Net: A reliable correspondences evaluation and feature interaction network for fast and accurate point cloud registration
Haibo Zhang, Linqi Hai, Xu Wang, et al.
Applied Soft Computing (2024) Vol. 163, pp. 111839-111839
Closed Access
A new method for two-stage partial-to-partial 3D point cloud registration: multi-level interaction perception
Xinhong Meng, Lei Zhu, Hailiang Ye, et al.
International Journal of Machine Learning and Cybernetics (2023) Vol. 14, Iss. 11, pp. 3765-3781
Closed Access | Times Cited: 1
PSR-GAT: Arbitrary point cloud super-resolution using graph attention networks
Fan Zhong, Zhengyao Bai
Multimedia Tools and Applications (2023) Vol. 83, Iss. 9, pp. 26213-26232
Closed Access | Times Cited: 1
Simulation-Based Self-Supervised Line Extraction for LiDAR Odometry in Urban Road Scenes
Peng Wang, Ruqin Zhou, Chenguang Dai, et al.
Remote Sensing (2023) Vol. 15, Iss. 22, pp. 5322-5322
Open Access | Times Cited: 1
Point Cloud Registration Using Multiattention Mechanism and Deep Hybrid Features
Yu-Xin Zhang, Zhan-Li Sun, Zhigang Zeng, et al.
IEEE Intelligent Systems (2022) Vol. 38, Iss. 1, pp. 58-68
Closed Access | Times Cited: 2
Gamcnet: Geometrically Encoded Attention Mechanisms and Multiple Constraint Strategies for Point Cloud Registration
Yao Zheng, Xuheng Liu, Yihan Zhang, et al.
(2023)
Closed Access
A Robust Loss for Point Cloud Registration
Zhi Deng, Yuxin Yao, Bailin Deng, et al.
arXiv (Cornell University) (2021)
Open Access
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