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:

Gaussian process regression for forward and inverse kinematics of a soft robotic arm
Carlos Relaño, Javier Muñoz, Concepción A. Monje
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107174-107174
Open Access | Times Cited: 14

Showing 14 citing articles:

MetaCoorNet: an improved generated residual network for grasping pose estimation
Hejia Gao, Chuanfeng He, Junjie Zhao, et al.
Science China Information Sciences (2025) Vol. 68, Iss. 3
Closed Access
Improving Gaussian process with quantum kernel estimation
Xiaojian Zhou, Qi Cui, Meng Zhang, et al.
Quantum Information Processing (2025) Vol. 24, Iss. 2
Closed Access
Motion control strategy for robotic arm using cascaded feature-enhancement ElasticNet broad learning system
Guoyu Zuo, Shuaifeng Dong, Jiyong Zhou, et al.
Control Engineering Practice (2025) Vol. 158, pp. 106278-106278
Closed Access
Soft Robot Workspace Estimation via Finite Element Analysis and Machine Learning
Getachew A. Ambaye, Enkhsaikhan Boldsaikhan, Krishna Krishnan
Actuators (2025) Vol. 14, Iss. 3, pp. 110-110
Open Access
Water Hydraulic Actuator for Bionic Fish Pectoral Fin: Optimization and Implementation
Songlin Nie, Pengwang Gao, Linfeng Huo, et al.
Sensors and Actuators A Physical (2025), pp. 116438-116438
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
An Overview of Data-Driven Paradigms for Identification and Control of Robotic Systems
Chandan Kumar Sah, Rajpal Singh, Jishnu Keshavan
Journal of the Indian Institute of Science (2025)
Closed Access
Design of a soft sensor based on silver-coated polyamide threads and stress-strain modeling via Gaussian processes
Carmen Ballester, Víctor Estal Muñoz, Dorin Copaci, et al.
Sensors and Actuators A Physical (2024) Vol. 367, pp. 115058-115058
Open Access | Times Cited: 2
Deep Learning Methods in Soft Robotics: Architectures and Applications
Tomáš Čakurda, M Trojanová, Pavlo Pomin, et al.
Advanced Intelligent Systems (2024)
Open Access | Times Cited: 1
Gaussian process-based nonlinearity compensation for pneumatic soft actuators
Alexander Pawluchin, Michael Meindl, Ive Weygers, et al.
at - Automatisierungstechnik (2024) Vol. 72, Iss. 5, pp. 440-448
Closed Access
Design for the active arm system in automotive collision-test dummies
Kai Wang, Wu Yongqiang, Zhang Han-xiao
(2024)
Closed Access
Path Generating Inverse Gaussian Process Regression for Data-Driven Ultimate Boundedness Control of Nonlinear Systems
Yeongjun Jang, Hamin Chang, Heein Park, et al.
IEEE Control Systems Letters (2024) Vol. 8, pp. 748-753
Closed Access
Vision-based reinforcement learning control of soft robot manipulators
Jinzhou Li, Ma J, Yujie Hu, et al.
Robotic Intelligence and Automation (2024)
Closed Access
Regresión de la cinemática de un brazo robótico blando mediante procesos gaussianos aproximados
Carlos Relaño, Javier Muñoz, Concepción A. Monje
(2023), pp. 471-476
Open Access
Page 1

Scroll to top