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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:

IONet: Learning to Cure the Curse of Drift in Inertial Odometry
Changhao Chen, Xiaoxuan Lu, Andrew Markham, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2018) Vol. 32, Iss. 1
Open Access | Times Cited: 275

Showing 1-25 of 275 citing articles:

AI-IMU Dead-Reckoning
Martin Brossard, Axel Barrau, Silvère Bonnabel
IEEE Transactions on Intelligent Vehicles (2020) Vol. 5, Iss. 4, pp. 585-595
Open Access | Times Cited: 192
RoNIN: Robust Neural Inertial Navigation in the Wild: Benchmark, Evaluations, & New Methods
Sachini Herath, Hang Yan, Yasutaka Furukawa
(2020), pp. 3146-3152
Closed Access | Times Cited: 173
TLIO: Tight Learned Inertial Odometry
Wenxin Liu, David R. Caruso, Eddy Ilg, et al.
IEEE Robotics and Automation Letters (2020) Vol. 5, Iss. 4, pp. 5653-5660
Open Access | Times Cited: 156
Deep Learning for Inertial Positioning: A Survey
Changhao Chen, Xianfei Pan
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 9, pp. 10506-10523
Open Access | Times Cited: 18
Selective Sensor Fusion for Neural Visual-Inertial Odometry
Changhao Chen, Stefano Rosa, Yishu Miao, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019), pp. 10534-10543
Open Access | Times Cited: 134
Deep-Learning-Based Pedestrian Inertial Navigation: Methods, Data Set, and On-Device Inference
Changhao Chen, Peijun Zhao, Chris Xiaoxuan Lu, et al.
IEEE Internet of Things Journal (2020) Vol. 7, Iss. 5, pp. 4431-4441
Open Access | Times Cited: 118
A Survey on Deep Learning for Localization and Mapping: Towards the Age of Spatial Machine Intelligence
Changhao Chen, Bing Wang, Chris Xiaoxuan Lu, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 103
Denoising IMU Gyroscopes with Deep Learning for Open-Loop Attitude Estimation
Martin Brossard, Silvère Bonnabel, Axel Barrau
IEEE Robotics and Automation Letters (2020), pp. 1-1
Open Access | Times Cited: 102
milliEgo
Chris Xiaoxuan Lu, Muhamad Risqi U. Saputra, Peijun Zhao, et al.
(2020), pp. 109-122
Open Access | Times Cited: 95
Learning Wheel Odometry and IMU Errors for Localization
Martin Brossard, Silvère Bonnabel
2022 International Conference on Robotics and Automation (ICRA) (2019), pp. 291-297
Open Access | Times Cited: 87
AbolDeepIO: A Novel Deep Inertial Odometry Network for Autonomous Vehicles
Mahdi Abolfazli Esfahani, Han Wang, Keyu Wu, et al.
IEEE Transactions on Intelligent Transportation Systems (2019) Vol. 21, Iss. 5, pp. 1941-1950
Closed Access | Times Cited: 84
IDOL: Inertial Deep Orientation-Estimation and Localization
Scott Sun, Dennis Melamed, Kris Kitani
Proceedings of the AAAI Conference on Artificial Intelligence (2021) Vol. 35, Iss. 7, pp. 6128-6137
Open Access | Times Cited: 78
RINS-W: Robust Inertial Navigation System on Wheels
Martin Brossard, Axel Barrau, Silvère Bonnabel
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2019)
Open Access | Times Cited: 76
A Data-Driven Inertial Navigation/Bluetooth Fusion Algorithm for Indoor Localization
Jianfan Chen, Baoding Zhou, Shaoqian Bao, et al.
IEEE Sensors Journal (2021) Vol. 22, Iss. 6, pp. 5288-5301
Closed Access | Times Cited: 68
Boosting Inertial-Based Human Activity Recognition With Transformers
Yoli Shavit, Itzik Klein
IEEE Access (2021) Vol. 9, pp. 53540-53547
Open Access | Times Cited: 66
A MEMS IMU Gyroscope Calibration Method Based on Deep Learning
Fengrong Huang, Zhen Wang, Luran Xing, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-9
Closed Access | Times Cited: 38
An attention-based deep learning approach for inertial motion recognition and estimation in human-robot collaboration
Huiying Zhou, Geng Yang, Baicun Wang, et al.
Journal of Manufacturing Systems (2023) Vol. 67, pp. 97-110
Closed Access | Times Cited: 22
OriNet: Robust 3-D Orientation Estimation With a Single Particular IMU
Mahdi Abolfazli Esfahani, Han Wang, Keyu Wu, et al.
IEEE Robotics and Automation Letters (2019) Vol. 5, Iss. 2, pp. 399-406
Closed Access | Times Cited: 74
Deep Neural Network Based Inertial Odometry Using Low-Cost Inertial Measurement Units
Changhao Chen, Chris Xiaoxuan Lu, Johan Wahlström, et al.
IEEE Transactions on Mobile Computing (2019) Vol. 20, Iss. 4, pp. 1351-1364
Open Access | Times Cited: 65
End-to-End Learning Framework for IMU-Based 6-DOF Odometry
João Paulo Lima, Hideaki Uchiyama, Rin-ichiro Taniguchi
Sensors (2019) Vol. 19, Iss. 17, pp. 3777-3777
Open Access | Times Cited: 61
Robust Data-Driven Zero-Velocity Detection for Foot-Mounted Inertial Navigation
Brandon Wagstaff, Valentin Peretroukhin, Jonathan Kelly
IEEE Sensors Journal (2019) Vol. 20, Iss. 2, pp. 957-967
Open Access | Times Cited: 61
DeepTIO: A Deep Thermal-Inertial Odometry With Visual Hallucination
Muhamad Risqi U. Saputra, Pedro P. B. de Gusmão, Chris Xiaoxuan Lu, et al.
IEEE Robotics and Automation Letters (2020) Vol. 5, Iss. 2, pp. 1672-1679
Open Access | Times Cited: 61
StepNet—Deep Learning Approaches for Step Length Estimation
Itzik Klein, Omri Asraf
IEEE Access (2020) Vol. 8, pp. 85706-85713
Open Access | Times Cited: 56
PDRNet: A Deep-Learning Pedestrian Dead Reckoning Framework
Omri Asraf, Firas Shama, Itzik Klein
IEEE Sensors Journal (2021) Vol. 22, Iss. 6, pp. 4932-4939
Closed Access | Times Cited: 48
A Review of Small UAV Navigation System Based on Multisource Sensor Fusion
Xiaoyu Ye, Fujun Song, Zongyu Zhang, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 17, pp. 18926-18948
Closed Access | Times Cited: 21
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