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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:

3D is here: Point Cloud Library (PCL)
Radu Bogdan Rusu, Steve Cousins
(2011)
Open Access | Times Cited: 4471

Showing 1-25 of 4471 citing articles:

LOAM: Lidar Odometry and Mapping in Real-time
Ji Zhang, Sanjiv Singh
(2014)
Open Access | Times Cited: 2363
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: 1608
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs
Martin Simonovsky, Nikos Komodakis
(2017), pp. 29-38
Open Access | Times Cited: 1222
Open3D: A Modern Library for 3D Data Processing
Qian-Yi Zhou, Jaesik Park, Vladlen Koltun
arXiv (Cornell University) (2018)
Open Access | Times Cited: 1084
Unsupervised Learning of Depth and Ego-Motion from Monocular Video Using 3D Geometric Constraints
Reza Mahjourian, Martin Wicke, Anelia Angelova
(2018)
Open Access | Times Cited: 777
PCN: Point Completion Network
Wentao Yuan, Tejas Khot, David Held, et al.
2021 International Conference on 3D Vision (3DV) (2018), pp. 728-737
Open Access | Times Cited: 740
RTAB‐Map as an open‐source lidar and visual simultaneous localization and mapping library for large‐scale and long‐term online operation
Mathieu Labbé, François Michaud
Journal of Field Robotics (2018) Vol. 36, Iss. 2, pp. 416-446
Open Access | Times Cited: 739
Comparing ICP variants on real-world data sets
François Pomerleau, Francis Colas, Roland Siegwart, et al.
Autonomous Robots (2013) Vol. 34, Iss. 3, pp. 133-148
Closed Access | Times Cited: 714
Low-drift and real-time lidar odometry and mapping
Ji Zhang, Sanjiv Singh
Autonomous Robots (2016) Vol. 41, Iss. 2, pp. 401-416
Closed Access | Times Cited: 701
lidR: An R package for analysis of Airborne Laser Scanning (ALS) data
Jean-Romain Roussel, David Auty, Nicholas C. Coops, et al.
Remote Sensing of Environment (2020) Vol. 251, pp. 112061-112061
Open Access | Times Cited: 653
FAST-LIO2: Fast Direct LiDAR-Inertial Odometry
Wei Xu, Yixi Cai, Dongjiao He, et al.
IEEE Transactions on Robotics (2022) Vol. 38, Iss. 4, pp. 2053-2073
Open Access | Times Cited: 638
3D Object Recognition in Cluttered Scenes with Local Surface Features: A Survey
Yulan Guo, Mohammed Bennamoun, Ferdous Sohel, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2014) Vol. 36, Iss. 11, pp. 2270-2287
Closed Access | Times Cited: 581
Nondestructive estimates of above‐ground biomass using terrestrial laser scanning
Kim Calders, Glenn Newnham, Andrew Burt, et al.
Methods in Ecology and Evolution (2014) Vol. 6, Iss. 2, pp. 198-208
Open Access | Times Cited: 575
Kintinuous: Spatially Extended KinectFusion
Thomas J. Whelan, Michael Kaess, Maurice Fallon, et al.
National Conference on Artificial Intelligence (2012)
Closed Access | Times Cited: 559
Fully Convolutional Geometric Features
Christopher Choy, Jaesik Park, Vladlen Koltun
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2019)
Closed Access | Times Cited: 553
A Comprehensive Performance Evaluation of 3D Local Feature Descriptors
Yulan Guo, Mohammed Bennamoun, Ferdous Sohel, et al.
International Journal of Computer Vision (2015) Vol. 116, Iss. 1, pp. 66-89
Closed Access | Times Cited: 544
Deep Sets
Manzil Zaheer, Satwik Kottur, Siamak Ravanbakhsh, et al.
arXiv (Cornell University) (2017)
Closed Access | Times Cited: 508
Voxel Cloud Connectivity Segmentation - Supervoxels for Point Clouds
Jérémie Papon, Alexey Abramov, Markus Schoeler, et al.
2009 IEEE Conference on Computer Vision and Pattern Recognition (2013), pp. 2027-2034
Open Access | Times Cited: 498
Learning ambidextrous robot grasping policies
Jeffrey Mahler, Matthew Matl, Vishal Satish, et al.
Science Robotics (2019) Vol. 4, Iss. 26
Closed Access | Times Cited: 487
PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition
Mikaela Angelina Uy, Gim Hee Lee
(2018)
Open Access | Times Cited: 475
The Perfect Match: 3D Point Cloud Matching With Smoothed Densities
Žan Gojčič, Caifa Zhou, Jan Dirk Wegner, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019), pp. 5540-5549
Open Access | Times Cited: 460
6-DOF GraspNet: Variational Grasp Generation for Object Manipulation
Arsalan Mousavian, Clemens Eppner, Dieter Fox
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2019), pp. 2901-2910
Open Access | Times Cited: 443
A survey on deep learning based face recognition
Guodong Guo, Na Zhang
Computer Vision and Image Understanding (2019) Vol. 189, pp. 102805-102805
Closed Access | Times Cited: 424
Analysis and Observations From the First Amazon Picking Challenge
Nikolaus Correll, Kostas E. Bekris, Dmitry Berenson, et al.
IEEE Transactions on Automation Science and Engineering (2016) Vol. 15, Iss. 1, pp. 172-188
Open Access | Times Cited: 394
Design, Implementation, and Evaluation of a Point Cloud Codec for Tele-Immersive Video
Rufael Mekuria, Kees Blom, Pablo César
IEEE Transactions on Circuits and Systems for Video Technology (2016) Vol. 27, Iss. 4, pp. 828-842
Open Access | Times Cited: 370
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