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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:

OCRTOC: A Cloud-Based Competition and Benchmark for Robotic Grasping and Manipulation
Ziyuan Liu, Wei Liu, Yuzhe Qin, et al.
IEEE Robotics and Automation Letters (2021) Vol. 7, Iss. 1, pp. 486-493
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Learning-based robotic grasping: A review
Zhen Xie, Xinquan Liang, Canale Roberto
Frontiers in Robotics and AI (2023) Vol. 10
Open Access | Times Cited: 27
Close the Optical Sensing Domain Gap by Physics-Grounded Active Stereo Sensor Simulation
Xiaoshuai Zhang, Rui Chen, Ang Li, et al.
IEEE Transactions on Robotics (2023) Vol. 39, Iss. 3, pp. 2429-2447
Open Access | Times Cited: 16
Research Challenges and Progress in Robotic Grasping and Manipulation Competitions
Yu Sun, Joe Falco, Máximo A. Roa, et al.
IEEE Robotics and Automation Letters (2021) Vol. 7, Iss. 2, pp. 874-881
Open Access | Times Cited: 37
Semantically Grounded Object Matching for Robust Robotic Scene Rearrangement
Walter Goodwin, Sagar Vaze, Ioannis Havoutis, et al.
2022 International Conference on Robotics and Automation (ICRA) (2022), pp. 11138-11144
Open Access | Times Cited: 22
MotionBenchMaker: A Tool to Generate and Benchmark Motion Planning Datasets
Constantinos Chamzas, Carlos Quintero, Zachary Kingston, et al.
IEEE Robotics and Automation Letters (2021) Vol. 7, Iss. 2, pp. 882-889
Open Access | Times Cited: 32
IFOR: Iterative Flow Minimization for Robotic Object Rearrangement
Ankit Goyal, Arsalan Mousavian, Chris Paxton, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 14767-14777
Open Access | Times Cited: 19
A Joint Modeling of Vision-Language-Action for Target-oriented Grasping in Clutter
Kechun Xu, Shuqi Zhao, Zhongxiang Zhou, et al.
(2023)
Open Access | Times Cited: 11
DexArt: Benchmarking Generalizable Dexterous Manipulation with Articulated Objects
Chen Bao, Helin Xu, Yuzhe Qin, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 10
3D-DAT: 3D-Dataset Annotation Toolkit for Robotic Vision
Markus Suchi, Bernhard Neuberger, Amanzhol Salykov, et al.
(2023)
Closed Access | Times Cited: 7
Train Offline, Test Online: A Real Robot Learning Benchmark
Gaoyue Zhou, Victoria Dean, Mohan Kumar Srirama, et al.
(2023)
Open Access | Times Cited: 7
On Automated Object Grasping for Intelligent Prosthetic Hands Using Machine Learning
Jethro Odeyemi, Akinola Ogbeyemi, Kelvin Wong, et al.
Bioengineering (2024) Vol. 11, Iss. 2, pp. 108-108
Open Access | Times Cited: 2
Simulating Complete Points Representations for Single-View 6-DoF Grasp Detection
Zhixuan Liu, Zibo Chen, Wei‐Shi Zheng
IEEE Robotics and Automation Letters (2024) Vol. 9, Iss. 3, pp. 2901-2908
Closed Access | Times Cited: 2
Planning Irregular Object Packing via Hierarchical Reinforcement Learning
Sichao Huang, Ziwei Wang, Jie Zhou, et al.
IEEE Robotics and Automation Letters (2022) Vol. 8, Iss. 1, pp. 81-88
Open Access | Times Cited: 12
MetaGraspNet: A Large-Scale Benchmark Dataset for Scene-Aware Ambidextrous Bin Picking via Physics-based Metaverse Synthesis
Maximilian Gilles, Yuhao Chen, Tim Robin Winter, et al.
2022 IEEE 18th International Conference on Automation Science and Engineering (CASE) (2022), pp. 220-227
Open Access | Times Cited: 12
An Easy to Use Deep Reinforcement Learning Library for AI Mobile Robots in Isaac Sim
Maximiliano Rojas, Gabriel Hermosilla, Daniel Yunge, et al.
Applied Sciences (2022) Vol. 12, Iss. 17, pp. 8429-8429
Open Access | Times Cited: 11
Performance measures to benchmark the grasping, manipulation, and assembly of deformable objects typical to manufacturing applications
Kenneth Kimble, Justin Albrecht, Megan Zimmerman, et al.
Frontiers in Robotics and AI (2022) Vol. 9
Open Access | Times Cited: 11
WFH-VR: Teleoperating a Robot Arm to set a Dining Table across the Globe via Virtual Reality
Lai Sum Yim, Quang TN Vo, Ching-I Huang, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2022), pp. 4927-4934
Closed Access | Times Cited: 10
MetaGraspNetV2: All-in-One Dataset Enabling Fast and Reliable Robotic Bin Picking via Object Relationship Reasoning and Dexterous Grasping
Maximilian Gilles, Yuhao Chen, E. Zhixuan Zeng, et al.
IEEE Transactions on Automation Science and Engineering (2023) Vol. 21, Iss. 3, pp. 2302-2320
Open Access | Times Cited: 5
Efficient Object Manipulation to an Arbitrary Goal Pose: Learning-Based Anytime Prioritized Planning
Kechun Xu, Hongxiang Yu, Renlang Huang, et al.
2022 International Conference on Robotics and Automation (ICRA) (2022), pp. 7277-7283
Open Access | Times Cited: 8
The Cluttered Environment Picking Benchmark (CEPB) for Advanced Warehouse Automation: Evaluating the Perception, Planning, Control, and Grasping of Manipulation Systems
Salvatore D’Avella, Matteo Bianchi, Ashok M. Sundaram, et al.
IEEE Robotics & Automation Magazine (2023), pp. 2-15
Open Access | Times Cited: 4
Sliding Touch-Based Exploration for Modeling Unknown Object Shape with Multi-Fingered Hands
Yi-Ting Chen, Ahmet E. Tekden, Marc Peter Deisenroth, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2023)
Open Access | Times Cited: 2
Autonomous Vision-based Robotic Grasping of Household Objects: A Practical Case Study
Asal Roudbari, M. J. Dalvand, Navid Pasiar, et al.
2022 10th RSI International Conference on Robotics and Mechatronics (ICRoM) (2023), pp. 918-924
Closed Access | Times Cited: 2
Enhancing Daily Life Through an Interactive Desktop Robotics System
Yuhang Zheng, Qiyao Wang, Chengliang Zhong, et al.
Lecture notes in computer science (2024), pp. 81-86
Closed Access
CloudGripper: An Open Source Cloud Robotics Testbed for Robotic Manipulation Research, Benchmarking and Data Collection at Scale
Muhammad Zahid, Florian T. Pokorny
(2024), pp. 12076-12082
Open Access
Learning to Catch Reactive Objects with a Behavior Predictor
Kai Lü, Jia-Xing Zhong, Bo Yang, et al.
(2024), pp. 9205-9211
Closed Access
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