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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:

GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks
Yasin Almalıoğlu, Muhamad Risqi U. Saputra, Pedro P. B. de Gusmão, et al.
2022 International Conference on Robotics and Automation (ICRA) (2019)
Open Access | Times Cited: 155

Showing 1-25 of 155 citing articles:

Deep learning for monocular depth estimation: A review
Yue Ming, Xuyang Meng, Chunxiao Fan, et al.
Neurocomputing (2021) Vol. 438, pp. 14-33
Open Access | Times Cited: 295
Image synthesis with adversarial networks: A comprehensive survey and case studies
Pourya Shamsolmoali, Masoumeh Zareapoor, Éric Granger, et al.
Information Fusion (2021) Vol. 72, pp. 126-146
Open Access | Times Cited: 136
An Overview on Visual SLAM: From Tradition to Semantic
Weifeng Chen, Guangtao Shang, Aihong Ji, et al.
Remote Sensing (2022) Vol. 14, Iss. 13, pp. 3010-3010
Open Access | Times Cited: 122
Monocular Depth Estimation Using Deep Learning: A Review
Armin Masoumian, Hatem A. Rashwan, Julián Cristiano, et al.
Sensors (2022) Vol. 22, Iss. 14, pp. 5353-5353
Open Access | Times Cited: 82
Towards Real-Time Monocular Depth Estimation for Robotics: A Survey
Xingshuai Dong, Matthew Garratt, Sreenatha G. Anavatti, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 23, Iss. 10, pp. 16940-16961
Open Access | Times Cited: 76
Exploiting Temporal Consistency for Real-Time Video Depth Estimation
Haokui Zhang, Ying Li, Yuanzhouhan Cao, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2019), pp. 1725-1734
Open Access | Times Cited: 115
Deep Learning-Based Monocular Depth Estimation Methods—A State-of-the-Art Review
Faisal Khan, Saqib Salahuddin, Hossein Javidnia
Sensors (2020) Vol. 20, Iss. 8, pp. 2272-2272
Open Access | Times Cited: 109
Distilling Knowledge From a Deep Pose Regressor Network
Muhamad Risqi U. Saputra, Pedro Gusmao, Yasin Almalıoğlu, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2019), pp. 263-272
Open Access | Times Cited: 103
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
Approaches, Challenges, and Applications for Deep Visual Odometry: Toward Complicated and Emerging Areas
Ke Wang, Sai Ma, Junlan Chen, et al.
IEEE Transactions on Cognitive and Developmental Systems (2020) Vol. 14, Iss. 1, pp. 35-49
Open Access | Times Cited: 84
SelfVIO: Self-supervised deep monocular Visual–Inertial Odometry and depth estimation
Yasin Almalıoğlu, Mehmet Turan, Muhamad Risqi U. Saputra, et al.
Neural Networks (2022) Vol. 150, pp. 119-136
Open Access | Times Cited: 69
Image-Based Obstacle Detection Methods for the Safe Navigation of Unmanned Vehicles: A Review
Samira Badrloo, Masood Varshosaz, Saied Pirasteh, et al.
Remote Sensing (2022) Vol. 14, Iss. 15, pp. 3824-3824
Open Access | Times Cited: 62
Simultaneous Localization and Mapping for Inspection Robots in Water and Sewer Pipe Networks: A Review
Jonathan M. Aitken, Mathew H. Evans, Rob Worley, et al.
IEEE Access (2021) Vol. 9, pp. 140173-140198
Open Access | Times Cited: 60
Edge Robotics: Edge-Computing-Accelerated Multirobot Simultaneous Localization and Mapping
Peng Huang, Liekang Zeng, Xu Chen, et al.
IEEE Internet of Things Journal (2022) Vol. 9, Iss. 15, pp. 14087-14102
Open Access | Times Cited: 50
STEPS: Joint Self-supervised Nighttime Image Enhancement and Depth Estimation
Yupeng Zheng, Chengliang Zhong, Pengfei Li, et al.
(2023)
Open Access | Times Cited: 24
Monocular depth estimation based on deep learning: An overview
Chaoqiang Zhao, Qiyu Sun, Chongzhen Zhang, et al.
Science China Technological Sciences (2020) Vol. 63, Iss. 9, pp. 1612-1627
Open Access | Times Cited: 67
SGANVO: Unsupervised Deep Visual Odometry and Depth Estimation With Stacked Generative Adversarial Networks
Tuo Feng, Dongbing Gu
IEEE Robotics and Automation Letters (2019) Vol. 4, Iss. 4, pp. 4431-4437
Open Access | Times Cited: 64
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
Detecting Deficient Coverage in Colonoscopies
Daniel Z. Freedman, Yochai Blau, Liran Katzir, et al.
IEEE Transactions on Medical Imaging (2020) Vol. 39, Iss. 11, pp. 3451-3462
Open Access | Times Cited: 59
Unsupervised Learning of Depth, Optical Flow and Pose With Occlusion From 3D Geometry
Guangming Wang, Chi Zhang, Hesheng Wang, et al.
IEEE Transactions on Intelligent Transportation Systems (2020) Vol. 23, Iss. 1, pp. 308-320
Open Access | Times Cited: 52
State of the Art in Vision-Based Localization Techniques for Autonomous Navigation Systems
Yusra Alkendi, Lakmal Seneviratne, Yahya Zweiri
IEEE Access (2021) Vol. 9, pp. 76847-76874
Open Access | Times Cited: 52
Depth Estimation Using a Self-Supervised Network Based on Cross-Layer Feature Fusion and the Quadtree Constraint
Fangzheng Tian, Yongbin Gao, Zhijun Fang, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2021) Vol. 32, Iss. 4, pp. 1751-1766
Closed Access | Times Cited: 47
A Survey on Visual Navigation and Positioning for Autonomous UUVs
Jiangying Qin, Ming Li, Deren Li, et al.
Remote Sensing (2022) Vol. 14, Iss. 15, pp. 3794-3794
Open Access | Times Cited: 36
Review of Visual Simultaneous Localization and Mapping Based on Deep Learning
Yao Zhang, Yiquan Wu, Tong Kang, et al.
Remote Sensing (2023) Vol. 15, Iss. 11, pp. 2740-2740
Open Access | Times Cited: 16
Masked GAN for Unsupervised Depth and Pose Prediction With Scale Consistency
Chaoqiang Zhao, Gary G. Yen, Qiyu Sun, et al.
IEEE Transactions on Neural Networks and Learning Systems (2020) Vol. 32, Iss. 12, pp. 5392-5403
Open Access | Times Cited: 45
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