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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:

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

Showing 23 citing articles:

A digital twin-based sim-to-real transfer for deep reinforcement learning-enabled industrial robot grasping
Yongkui Liu, Xu He, Ding Liu, et al.
Robotics and Computer-Integrated Manufacturing (2022) Vol. 78, pp. 102365-102365
Closed Access | Times Cited: 80
Robots in Industry: The Past, Present, and Future of a Growing Collaboration With Humans
Antoni Grau, Marina Indri, Lucia Lo Bello, et al.
IEEE Industrial Electronics Magazine (2020) Vol. 15, Iss. 1, pp. 50-61
Open Access | Times Cited: 84
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
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
A Multi-Level Optimization Framework for Simultaneous Grasping and Motion Planning
Simon Zimmermann, Ghazal Hakimifard, Miguel Zamora, et al.
IEEE Robotics and Automation Letters (2020) Vol. 5, Iss. 2, pp. 2966-2972
Closed Access | Times Cited: 31
Advances in Finger and Partial Hand Prosthetic Mechanisms
Erasmo Difonzo, Giovanni Antonio Zappatore, Giacomo Mantriota, et al.
Robotics (2020) Vol. 9, Iss. 4, pp. 80-80
Open Access | Times Cited: 30
Neuromorphic Vision Based Contact-Level Classification in Robotic Grasping Applications
Xiaoqian Huang, Rajkumar Muthusamy, Eman Hassan, et al.
Sensors (2020) Vol. 20, Iss. 17, pp. 4724-4724
Open Access | Times Cited: 22
Efficient event-based robotic grasping perception using hyperdimensional computing
Eman Hassan, Zhuowen Zou, Hanning Chen, et al.
Internet of Things (2024) Vol. 26, pp. 101207-101207
Open Access | Times Cited: 2
Kawaii emotions in presentations: Viewing a physical touch affects perception of affiliative feelings of others toward an object
Yuka Okada, Mitsuhiko Kimoto, Takamasa Iio, et al.
PLoS ONE (2022) Vol. 17, Iss. 3, pp. e0264736-e0264736
Open Access | Times Cited: 11
Deep learning with tactile sequences enables fruit recognition and force prediction for damage-free grasping
Renjun Huang, Wei Zheng, Baohua Zhang, et al.
Computers and Electronics in Agriculture (2023) Vol. 211, pp. 107985-107985
Closed Access | Times Cited: 5
A Review of the State-of-the-Art of Sensing and Actuation Technology for Robotic Grasping and Haptic Rendering
Syed Kumayl Raza Moosavi, Muhammad Hamza Zafar, Filippo Sanfilippo
(2022), pp. 182-190
Closed Access | Times Cited: 8
Vision for Robust Robot Manipulation
Ester Martínez-Martín, Ángel P. del Pobil
Sensors (2019) Vol. 19, Iss. 7, pp. 1648-1648
Open Access | Times Cited: 13
Grasp Stability Prediction for a Dexterous Robotic Hand Combining Depth Vision and Haptic Bayesian Exploration
Muhammad Sami Siddiqui, Claudio Coppola, Gökhan Solak, et al.
Frontiers in Robotics and AI (2021) Vol. 8
Open Access | Times Cited: 11
Hyper‐Versatile Gripping: Synergizing Mechanical and Machine Intelligence of a Hybrid Robotic Gripper
Phone May Khin, Chen‐Hua Yeow, Marcelo H. Jr. Ang
Advanced Intelligent Systems (2024) Vol. 6, Iss. 4
Open Access | Times Cited: 1
Object manipulation without hands
Shoko Sugasawa, Barbara Webb, Susan D. Healy
Proceedings of the Royal Society B Biological Sciences (2021) Vol. 288, Iss. 1947
Open Access | Times Cited: 10
Data Selection to Improve Anomaly Detection in a Component-Based Robot
Nuño Basurto, Álvaro Herrero
Advances in intelligent systems and computing (2019), pp. 241-250
Closed Access | Times Cited: 8
Color Matching Based Approach for Robotic Grasping
Marwan Qaid Mohammed, Lee Chung Kwek, Shing Chyi Chua, et al.
2021 International Congress of Advanced Technology and Engineering (ICOTEN) (2021), pp. 1-8
Closed Access | Times Cited: 4
A parallel graph network for generating 7-DoF model-free grasps in unstructured scenes using point cloud
Chungang Zhuang, Haowen Wang, Wanhao Niu, et al.
Robotics and Computer-Integrated Manufacturing (2024) Vol. 92, pp. 102879-102879
Closed Access
Depth Data Denoising in Optical Laser Based Sensors for Metal Sheet Flatness Measurement: A Deep Learning Approach
Marcos Alonso, Daniel Maestro-Watson, Alberto Izaguirre, et al.
Sensors (2021) Vol. 21, Iss. 21, pp. 7024-7024
Open Access | Times Cited: 3
Prehensile Robotic pick-and-place in clutter with Deep Reinforcement Learning
Muhammad Babar Imtiaz, Yuansong Qiao, Brian Lee
2021 International Conference on Electrical, Computer and Energy Technologies (ICECET) (2022)
Closed Access | Times Cited: 2
Detección de Paquetes en Movimiento sobre una Cinta Transportadora Usando Visión por Computadora [Not available in English]
Rebeca Yuan, Ibrahim Jaime, Bruno Julian Chiabrando, et al.
2020 IEEE Congreso Bienal de Argentina (ARGENCON) (2020), pp. 1-6
Closed Access | Times Cited: 1
Efficient Event-Based Robotic Grasping Perception using Hyperdimensional Computing
Eman Hassan, Zhuowen Zou, Hanning Chen, et al.
Research Square (Research Square) (2023)
Open Access
Robot Grasping through a Joint-Initiative Supervised Autonomy Framework
Abbas Sidaoui, Naseem Daher, Daniel Asmar
2022 International Conference on Robotics and Automation (ICRA) (2022), pp. 7868-7874
Closed Access
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