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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:

More Than a Feeling: Learning to Grasp and Regrasp Using Vision and Touch
Roberto Calandra, Andrew Owens, Dinesh Jayaraman, et al.
IEEE Robotics and Automation Letters (2018) Vol. 3, Iss. 4, pp. 3300-3307
Open Access | Times Cited: 157

Showing 26-50 of 157 citing articles:

Review of Robot Skin: A Potential Enabler for Safe Collaboration, Immersive Teleoperation, and Affective Interaction of Future Collaborative Robots
Gaoyang Pang, Geng Yang, Zhibo Pang
IEEE Transactions on Medical Robotics and Bionics (2021) Vol. 3, Iss. 3, pp. 681-700
Open Access | Times Cited: 54
Capacitive Sensing for a Gripper With Gecko-Inspired Adhesive Film
Jiro Hashizume, Tae Myung Huh, Srinivasan A. Suresh, et al.
IEEE Robotics and Automation Letters (2019) Vol. 4, Iss. 2, pp. 677-683
Open Access | Times Cited: 52
Learning to Identify Object Instances by Touch: Tactile Recognition via Multimodal Matching
Justin Lin, Roberto Calandra, Sergey Levine
2022 International Conference on Robotics and Automation (ICRA) (2019), pp. 3644-3650
Open Access | Times Cited: 45
Robotic architectural assembly with tactile skills: Simulation and optimization
Boris Belousov, Bastian Wibranek, Ján Schneider, et al.
Automation in Construction (2021) Vol. 133, pp. 104006-104006
Closed Access | Times Cited: 39
Sim-to-Real for Robotic Tactile Sensing via Physics-Based Simulation and Learned Latent Projections
Yashraj Narang, Balakumar Sundaralingam, Miles Macklin, et al.
(2021)
Open Access | Times Cited: 37
High-Resolution 3-Dimensional Contact Deformation Tracking for FingerVision Sensor With Dense Random Color Pattern
Yipai Du, Guanlan Zhang, Yazhan Zhang, et al.
IEEE Robotics and Automation Letters (2021) Vol. 6, Iss. 2, pp. 2147-2154
Closed Access | Times Cited: 33
GKNet: Grasp keypoint network for grasp candidates detection
Ruinian Xu, Fu-Jen Chu, Patricio A. Vela
The International Journal of Robotics Research (2022) Vol. 41, Iss. 4, pp. 361-389
Open Access | Times Cited: 27
Grasp State Assessment of Deformable Objects Using Visual-Tactile Fusion Perception
Shaowei Cui, Rui Wang, Junhang Wei, et al.
(2020), pp. 538-544
Open Access | Times Cited: 35
TactileSGNet: A Spiking Graph Neural Network for Event-based Tactile Object Recognition
Fuqiang Gu, Weicong Sng, Tasbolat Taunyazov, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2020), pp. 9876-9882
Open Access | Times Cited: 34
A Sense of Touch for the Shadow Modular Grasper
Nicholas Pestell, Luke Cramphorn, Fotios Papadopoulos, et al.
IEEE Robotics and Automation Letters (2019) Vol. 4, Iss. 2, pp. 2220-2226
Open Access | Times Cited: 32
Short-term solar PV forecasting using computer vision: The search for optimal CNN architectures for incorporating sky images and PV generation history
Vignesh Venugopal, Yuchi Sun, Adam R. Brandt
Journal of Renewable and Sustainable Energy (2019) Vol. 11, Iss. 6
Closed Access | Times Cited: 31
Learning the sense of touch in simulation: a sim-to-real strategy for vision-based tactile sensing
Carmelo Sferrazza, Thomas Bi, Raffaello D’Andrea
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2020)
Open Access | Times Cited: 31
Deep Reinforcement Learning for Tactile Robotics: Learning to Type on a Braille Keyboard
Alex Church, John W. Lloyd, Raia Hadsell, et al.
IEEE Robotics and Automation Letters (2020) Vol. 5, Iss. 4, pp. 6145-6152
Open Access | Times Cited: 30
Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers
Ruihan Yang, Minghao Zhang, Nicklas Hansen, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 24
Improving Grasp Stability with Rotation Measurement from Tactile Sensing
Raj Kolamuri, Zilin Si, Yufan Zhang, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2021), pp. 6809-6816
Open Access | Times Cited: 23
Fast Model-Based Contact Patch and Pose Estimation for Highly Deformable Dense-Geometry Tactile Sensors
Naveen Kuppuswamy, Alejandro Castro, Calder Phillips-Grafflin, et al.
IEEE Robotics and Automation Letters (2019) Vol. 5, Iss. 2, pp. 1811-1818
Open Access | Times Cited: 28
Fast Texture Classification Using Tactile Neural Coding and Spiking Neural Network
Tasbolat Taunyazov, Yansong Chua, Ruihan Gao, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2020)
Closed Access | Times Cited: 24
Deep Gated Multi-modal Learning: In-hand Object Pose Changes Estimation using Tactile and Image Data
Tomoki Anzai, Kuniyuki Takahashi
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2020), pp. 9361-9368
Open Access | Times Cited: 24
ObjectFolder: A Dataset of Objects with Implicit Visual, Auditory, and Tactile Representations
Ruohan Gao, Yen‐Yu Chang, Shivani Mall, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 22
In-air Knotting of Rope using Dual-Arm Robot based on Deep Learning
Kanata Suzuki, Momomi Kanamura, Yuki Suga, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2021), pp. 6724-6731
Open Access | Times Cited: 21
Contact Feature Recognition Based on MFCC of Force Signals
Toshiaki Tsuji, Koyo Sato, Sho Sakaino
IEEE Robotics and Automation Letters (2021) Vol. 6, Iss. 3, pp. 5153-5158
Closed Access | Times Cited: 21
Using Tactile Sensing to Improve the Sample Efficiency and Performance of Deep Deterministic Policy Gradients for Simulated In-Hand Manipulation Tasks
Andrew Melnik, Luca Lach, Matthias Plappert, et al.
Frontiers in Robotics and AI (2021) Vol. 8
Open Access | Times Cited: 20
Detect, Reject, Correct: Crossmodal Compensation of Corrupted Sensors
Michelle A. Lee, Matthew Tan, Yuke Zhu, et al.
(2021)
Open Access | Times Cited: 20
Morphology-Specific Convolutional Neural Networks for Tactile Object Recognition with a Multi-Fingered Hand
Satoshi Funabashi, Gang Yan, Andreas Geier, et al.
2022 International Conference on Robotics and Automation (ICRA) (2019)
Closed Access | Times Cited: 24
A Panoramic Survey on Grasping Research Trends and Topics
Manuel Graña, Marcos Alonso, Alberto Izaguirre
Cybernetics & Systems (2019) Vol. 50, Iss. 1, pp. 40-57
Closed Access | Times Cited: 23

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