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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:

Adversarial Grasp Objects
David Wang, David Tai Hee Tseng, Pusong Li, et al.
2022 IEEE 18th International Conference on Automation Science and Engineering (CASE) (2019)
Closed Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Deep Learning Approaches to Grasp Synthesis: A Review
R. Newbury, Morris Gu, Lachlan Chumbley, et al.
IEEE Transactions on Robotics (2023) Vol. 39, Iss. 5, pp. 3994-4015
Open Access | Times Cited: 92
EGAD! An Evolved Grasping Analysis Dataset for Diversity and Reproducibility in Robotic Manipulation
Douglas Morrison, Peter Corke, Jürgen Leitner
IEEE Robotics and Automation Letters (2020) Vol. 5, Iss. 3, pp. 4368-4375
Open Access | Times Cited: 90
A Voxel-Representation-Based Data Generator of Adversarial Objects for Robotic Manipulators
Akshay, Garrett E. Katz, Chilukuri K. Mohan
Communications in computer and information science (2025), pp. 123-138
Closed Access
Unadversarial Examples: Designing Objects for Robust Vision
Hadi Salman, Andrew Ilyas, Logan Engstrom, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 23
Physical and Digital Adversarial Attacks on Grasp Quality Networks
Naif Wasel Alharthi, Martim Brandão
(2024), pp. 1907-1902
Closed Access | Times Cited: 2
Same Object, Different Grasps: Data and Semantic Knowledge for Task-Oriented Grasping
Adithyavairavan Murali, Weiyu Liu, Kenneth Marino, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 15
GraspAda: Deep Grasp Adaptation through Domain Transfer
Yi‐Ting Chen, Junnan Jiang, Ruiqi Lei, et al.
(2023)
Closed Access | Times Cited: 4
Wasserstein Distributionally Robust Control Barrier Function using Conditional Value-at-Risk with Differentiable Convex Programming
Alaa Chriat, Chuangchuang Sun
AIAA SCITECH 2022 Forum (2024)
Open Access | Times Cited: 1
Generalizing 6-DoF Grasp Detection via Domain Prior Knowledge
Haoxiang Ma, Modi Shi, Boyang Gao, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024), pp. 18102-18111
Closed Access | Times Cited: 1
Exploratory Grasping: Asymptotically Optimal Algorithms for Grasping Challenging Polyhedral Objects
Michael Danielczuk, Ashwin Balakrishna, Daniel S. Brown, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 11
LEGS: Learning Efficient Grasp Sets for Exploratory Grasping
Letian Fu, Michael Danielczuk, Ashwin Balakrishna, et al.
2022 International Conference on Robotics and Automation (ICRA) (2022), pp. 8259-8265
Open Access | Times Cited: 6
Non-Markov Policies to Reduce Sequential Failures in Robot Bin Picking
Kate Sanders, Michael Danielczuk, Jeffrey Mahler, et al.
2022 IEEE 18th International Conference on Automation Science and Engineering (CASE) (2020), pp. 1141-1148
Open Access | Times Cited: 8
Distributionally Robust Policy Learning via Adversarial Environment Generation
Allen Z. Ren, Anirudha Majumdar
IEEE Robotics and Automation Letters (2022) Vol. 7, Iss. 2, pp. 1379-1386
Open Access | Times Cited: 5
Accelerating Grasp Exploration by Leveraging Learned Priors
Han Yu Li, Michael Danielczuk, Ashwin Balakrishna, et al.
2022 IEEE 18th International Conference on Automation Science and Engineering (CASE) (2020), pp. 110-117
Open Access | Times Cited: 6
Dex-Net AR: Distributed Deep Grasp Planning Using a Commodity Cellphone and Augmented Reality App
Harry Zhang, Jeffrey Ichnowski, Yahav Avigal, et al.
(2020), pp. 552-558
Closed Access | Times Cited: 4
Information-driven Affordance Discovery for Efficient Robotic Manipulation
Pietro Mazzaglia, Taco Cohen, Daniel Dijkman
(2024), pp. 7780-7787
Open Access
Robust capture of unknown objects with a highly under-actuated gripper
Paul E. Glick, Nikko Van Crey, Michael T. Tolley, et al.
(2020), pp. 3996-4002
Closed Access | Times Cited: 3
Grasp the Graph (GtG): A Super Light Graph-RL Framework for Robotic Grasping
Ali Rashidi Moghadam, Mehdi Tale Masouleh, Ahmad Kalhor
2022 10th RSI International Conference on Robotics and Mechatronics (ICRoM) (2023), pp. 861-868
Closed Access | Times Cited: 1
Learning Grasp Ability Enhancement Through Deep Shape Generation
Junnan Jiang, Xiaohui Xiao, Fei Chen, et al.
Lecture notes in computer science (2022), pp. 735-746
Closed Access | Times Cited: 2
EGAD! an Evolved Grasping Analysis Dataset for diversity and reproducibility in robotic manipulation.
Douglas Morrison, Peter Corke, Jürgen Leitner
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 2
Robotic grasping in unstructured and dynamic environments
Douglas Morrison
(2021)
Open Access | Times Cited: 2
Integrating High-Resolution Tactile Sensing into Grasp Stability Prediction
Lachlan Chumbley, Morris Gu, R. Newbury, et al.
(2022), pp. 98-105
Open Access | Times Cited: 1
Enhancing Robustness of Indoor Robotic Navigation with Free-Space Segmentation Models Against Adversarial Attacks
Qiyuan An, Christos Sevastopoulos, Fillia Makedon
(2023)
Open Access
Non-Markov Policies to Reduce Sequential Failures in Robot Bin Picking
Kate Sanders, Michael Danielczuk, Jeffrey Mahler, et al.
arXiv (Cornell University) (2020)
Open Access
Accelerating Grasp Exploration by Leveraging Learned Priors
Han Yu Li, Michael Danielczuk, Ashwin Balakrishna, et al.
arXiv (Cornell University) (2020)
Open Access
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