Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Review of Deep Reinforcement Learning-Based Object Grasping: Techniques, Open Challenges, and Recommendations
Marwan Qaid Mohammed, Lee Chung Kwek, Shing Chyi Chua
IEEE Access (2020) Vol. 8, pp. 178450-178481
Open Access | Times Cited: 81

Showing 1-25 of 81 citing articles:

Deep reinforcement learning in smart manufacturing: A review and prospects
Chengxi Li, Pai Zheng, Yue Yin, et al.
CIRP journal of manufacturing science and technology (2022) Vol. 40, pp. 75-101
Closed Access | Times Cited: 151
Deep reinforcement learning in production systems: a systematic literature review
Marcel Panzer, Benedict Bender
International Journal of Production Research (2021) Vol. 60, Iss. 13, pp. 4316-4341
Open Access | Times Cited: 148
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: 91
A DQL-NSGA-III algorithm for solving the flexible job shop dynamic scheduling problem
Hongtao Tang, Xiao Yu, Wei Zhang, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121723-121723
Closed Access | Times Cited: 48
Reinforcement Learning Algorithms and Applications in Healthcare and Robotics: A Comprehensive and Systematic Review
Mokhaled N. A. Al-Hamadani, Mohammed A. Fadhel, Laith Alzubaidi, et al.
Sensors (2024) Vol. 24, Iss. 8, pp. 2461-2461
Open Access | Times Cited: 17
RGB Matters: Learning 7-DoF Grasp Poses on Monocular RGBD Images
Minghao Gou, Hao-Shu Fang, Zhanda Zhu, et al.
(2021), pp. 13459-13466
Open Access | Times Cited: 83
Comprehensive Review on Reaching and Grasping of Objects in Robotics
Marwan Qaid Mohammed, Shing Chyi Chua, Lee Chung Kwek
Robotica (2021) Vol. 39, Iss. 10, pp. 1849-1882
Closed Access | Times Cited: 59
End-of-life electric vehicle battery disassembly enabled by intelligent and human-robot collaboration technologies: A review
Weidong Li, Yiqun Peng, Yu Zhu, et al.
Robotics and Computer-Integrated Manufacturing (2024) Vol. 89, pp. 102758-102758
Closed Access | Times Cited: 9
Robotics Dexterous Grasping: The Methods Based on Point Cloud and Deep Learning
Haonan Duan, Peng Wang, Ya-Yu Huang, et al.
Frontiers in Neurorobotics (2021) Vol. 15
Open Access | Times Cited: 42
A Review of Deep Reinforcement Learning Approaches for Smart Manufacturing in Industry 4.0 and 5.0 Framework
Alejandro J. del Real, Doru Stefan Andreiana, Álvaro Ojeda Roldán, et al.
Applied Sciences (2022) Vol. 12, Iss. 23, pp. 12377-12377
Open Access | Times Cited: 36
Simulated and Real Robotic Reach, Grasp, and Pick-and-Place Using Combined Reinforcement Learning and Traditional Controls
Andrew Lobbezoo, Hyock‐Ju Kwon
Robotics (2023) Vol. 12, Iss. 1, pp. 12-12
Open Access | Times Cited: 19
A comprehensive review of robot intelligent grasping based on tactile perception
Tong Li, Yuhang Yan, Chengshun Yu, et al.
Robotics and Computer-Integrated Manufacturing (2024) Vol. 90, pp. 102792-102792
Closed Access | Times Cited: 7
A Deep Reinforcement Learning Framework for Control of Robotic Manipulators in Simulated Environments
Carlos Calderón, Roger Sarango, Darwin Castillo, et al.
IEEE Access (2024) Vol. 12, pp. 103133-103161
Open Access | Times Cited: 6
Vision-Based Robotic Arm Control Algorithm Using Deep Reinforcement Learning for Autonomous Objects Grasping
Hiba Sekkat, Smail Tigani, Rachid Saadane, et al.
Applied Sciences (2021) Vol. 11, Iss. 17, pp. 7917-7917
Open Access | Times Cited: 32
Reinforcement Learning for Pick and Place Operations in Robotics: A Survey
Andrew Lobbezoo, Y. Qian, Hyock‐Ju Kwon
Robotics (2021) Vol. 10, Iss. 3, pp. 105-105
Open Access | Times Cited: 32
Review of Learning-Based Robotic Manipulation in Cluttered Environments
Marwan Qaid Mohammed, Lee Chung Kwek, Shing Chyi Chua, et al.
Sensors (2022) Vol. 22, Iss. 20, pp. 7938-7938
Open Access | Times Cited: 23
A review of robotic grasp detection technology
Minglun Dong, Jian Zhang
Robotica (2023) Vol. 41, Iss. 12, pp. 3846-3885
Closed Access | Times Cited: 15
Unsupervised discovery of 3D structural elements for scanned indoor scenes
Miloš Antić, Andrej Zdešar, José Antonio Iglesias, et al.
Applied Soft Computing (2025), pp. 112680-112680
Closed Access
Adaptive Grasp Pose Optimization for Robotic Arms Using Low-Cost Depth Sensors in Complex Environments
Andy Guan Hong Chen, Xuanfeng Li, Kerui Cen, et al.
Sensors (2025) Vol. 25, Iss. 3, pp. 909-909
Open Access
Object detection challenges: Navigating through varied weather conditions—Acomprehensive survey
Tirupathamma Mudavath, Anooja Mamidi
Journal of Ambient Intelligence and Humanized Computing (2025)
Closed Access
Learning positioning policies for mobile manipulation operations with deep reinforcement learning
Ander Iriondo, Elena Lazkano, Ander Ansuategi, et al.
International Journal of Machine Learning and Cybernetics (2023) Vol. 14, Iss. 9, pp. 3003-3023
Open Access | Times Cited: 11
Global optimization strategy of prosumer data center system operation based on multi-agent deep reinforcement learning
Dongfang Yang, Xiaoyuan Wang, Rendong Shen, et al.
Journal of Building Engineering (2024) Vol. 91, pp. 109519-109519
Closed Access | Times Cited: 4
Machine learning for board-level drop response of BGA packaging structure
Minghui Mao, Wenwu Wang, Changheng Lu, et al.
Microelectronics Reliability (2022) Vol. 134, pp. 114553-114553
Closed Access | Times Cited: 18
Advancements in Deep Reinforcement Learning and Inverse Reinforcement Learning for Robotic Manipulation: Toward Trustworthy, Interpretable, and Explainable Artificial Intelligence
Recep Özalp, Ayşegül Uçar, Cüneyt Güzelіș
IEEE Access (2024) Vol. 12, pp. 51840-51858
Open Access | Times Cited: 3
Occlusion-Aware Search for Object Retrieval in Clutter
Wissam Bejjani, Wisdom C. Agboh, Mehmet R. Doğar, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2021), pp. 4678-4685
Open Access | Times Cited: 21
Page 1 - Next Page

Scroll to top