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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:

Physics‐Informed Neural Networks to Model and Control Robots: A Theoretical and Experimental Investigation
J. Liu, Pablo Borja, Cosimo Della Santina
Advanced Intelligent Systems (2024) Vol. 6, Iss. 5
Open Access | Times Cited: 14

Showing 14 citing articles:

From PINNs to PIKANs: recent advances in physics-informed machine learning
Juan Diego Toscano, Vivek Oommen, Alan John Varghese, et al.
Machine learning for computational science and engineering (2025) Vol. 1, Iss. 1
Closed Access | Times Cited: 1
Torque tracking position control of DLR-HIT II robotic hand using a real-time Physics-informed neural network
Ali Al-Shahrabi, M Javid, Ashraf Fahmy, et al.
Applied Mathematical Modelling (2025), pp. 116110-116110
Open Access
Enhancing Human – Robot Collaboration in the Industry 5.0 Framework with Physics-Informed Neural Networks: Application to Collision Detection
Francesco Giuseppe Ciampi, Thierno Diallo, Faïda Mhenni, et al.
Communications in computer and information science (2025), pp. 305-318
Closed Access
Dynamic modeling and control of pneumatic artificial muscles via Deep Lagrangian Networks and Reinforcement Learning
Shuopeng Wang, Rixin Wang, Yanhui Liu, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 148, pp. 110406-110406
Closed Access
Neural Autoencoder-Based Structure-Preserving Model Order Reduction and Control Design for High-Dimensional Physical Systems
Marco Lepri, Davide Bacciu, Cosimo Della Santina
IEEE Control Systems Letters (2023) Vol. 8, pp. 133-138
Open Access | Times Cited: 7
A Hybrid Adaptive Controller for Soft Robot Interchangeability
Zixi Chen, Xuyang Ren, Matteo Bernabei, et al.
IEEE Robotics and Automation Letters (2023) Vol. 9, Iss. 1, pp. 875-882
Open Access | Times Cited: 6
Interfacial conditioning in physics informed neural networks
Saykat Kumar Biswas, N. K. Anand
Physics of Fluids (2024) Vol. 36, Iss. 7
Closed Access | Times Cited: 1
Extrapolation of Physics-Inspired Deep Networks in Learning Robot Inverse Dynamics
Zhiming Li, Shuangshuang Wu, Wenbai Chen, et al.
Mathematics (2024) Vol. 12, Iss. 16, pp. 2527-2527
Open Access | Times Cited: 1
Physics-Guided Deep Learning Enabled Surrogate Modeling for Pneumatic Soft Robots
Sameh I. Beaber, Zhen Liu, Ye Sun
IEEE Robotics and Automation Letters (2024) Vol. 9, Iss. 12, pp. 11441-11448
Closed Access | Times Cited: 1
A Novel and Accurate BiLSTM Configuration Controller for Modular Soft Robots with Module Number Adaptability
Zixi Chen, Matteo Bernabei, Vanessa Mainardi, et al.
Soft Robotics (2024)
Open Access | Times Cited: 1
An Empirical Investigation on Variational Autoencoder-Based Dynamic Modeling of Deformable Objects from RGB Data
Tomás Coleman, Robert Babuška, Jens Kober, et al.
(2024), pp. 921-928
Closed Access
Dynamics Modeling of Soft Robots Based on Attention-enhanced Lagrangian Deep Neural Networks
Yeqi Wei, Xiangyu Shao, J. Liu, et al.
(2024), pp. 200-207
Closed Access
Physics-Informed Neural Networks for Continuum Robots: Towards Fast Approximation of Static Cosserat Rod Theory
Martin Bensch, Tim-David Job, Tim-Lukas Habich, et al.
(2024), pp. 17293-17299
Closed Access
EMERGE - Emergent Awareness from Minimal Collectives
Davide Bacciu, Vincenzo Ambriola, Bahador Bahrami, et al.
Springer proceedings in advanced robotics (2024), pp. 87-91
Closed Access
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