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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:

Error compensation of industrial robot based on deep belief network and error similarity
Wei Wang, Wei Tian, Wenhe Liao, et al.
Robotics and Computer-Integrated Manufacturing (2021) Vol. 73, pp. 102220-102220
Closed Access | Times Cited: 65

Showing 1-25 of 65 citing articles:

Machining feature recognition based on a novel multi-task deep learning network
Hang Zhang, Shusheng Zhang, Yajun Zhang, et al.
Robotics and Computer-Integrated Manufacturing (2022) Vol. 77, pp. 102369-102369
Closed Access | Times Cited: 39
Quantification of uncertainty in robot pose errors and calibration of reliable compensation values
Teng Zhang, Fangyu Peng, Rong Yan, et al.
Robotics and Computer-Integrated Manufacturing (2024) Vol. 89, pp. 102765-102765
Closed Access | Times Cited: 10
An online prediction and compensation method for robot position errors embedded with error-motion correlation
Teng Zhang, Hao Sun, Fangyu Peng, et al.
Measurement (2024) Vol. 234, pp. 114866-114866
Closed Access | Times Cited: 7
Industrial serial robot calibration considering geometric and deformation errors
Yimin Song, Mingming Liu, Binbin Lian, et al.
Robotics and Computer-Integrated Manufacturing (2022) Vol. 76, pp. 102328-102328
Closed Access | Times Cited: 31
Robot error compensation based on incremental extreme learning machines and an improved sparrow search algorithm
Shoudong Ma, Kenan Deng, Yong Lu, et al.
The International Journal of Advanced Manufacturing Technology (2023) Vol. 125, Iss. 11-12, pp. 5431-5443
Closed Access | Times Cited: 19
A compensation approach for magnetic encoder error based on improved deep belief network algorithm
Wenjuan Jiang, Bolun Zheng, Didi Sheng, et al.
Sensors and Actuators A Physical (2024) Vol. 366, pp. 115003-115003
Closed Access | Times Cited: 6
Profile Error Estimation and Hierarchical Compensation Method for Robotic Surface Machining
Zhao-Yang Liao, Jinzhu Wu, Hongmin Wu, et al.
IEEE Robotics and Automation Letters (2024) Vol. 9, Iss. 4, pp. 3195-3202
Closed Access | Times Cited: 5
A novel error compensation method for a redundant parallel mechanism based on adaptive differential evolution algorithm and RBF neural network
Chen-dong Zeng, Zhi-cheng Qiu, Fen-hua Zhang, et al.
Precision Engineering (2025)
Closed Access
Error compensation method of industrial robots considering non-kinematic and weak rigid base errors
Shoudong Ma, Kenan Deng, Yong Lü, et al.
Precision Engineering (2023) Vol. 82, pp. 304-315
Closed Access | Times Cited: 15
MJAR: A novel joint generalization-based diagnosis method for industrial robots with compound faults
Yiming He, Chao Zhao, Xing Zhou, et al.
Robotics and Computer-Integrated Manufacturing (2023) Vol. 86, pp. 102668-102668
Closed Access | Times Cited: 15
Research on End-Effector Position Error Compensation of Industrial Robotic Arm Based on ECOA-BP
Wenping Xiang, Junhua Chen, Hao Li, et al.
Sensors (2025) Vol. 25, Iss. 2, pp. 378-378
Open Access
UGP-KD: An unsupervised generalized prediction framework for robot machining quality under historical task knowledge distillation for new tasks
Teng Zhang, Fangyu Peng, Yang Zhao, et al.
Computers in Industry (2025) Vol. 168, pp. 104269-104269
Closed Access
CME-EPC: A coarse-mechanism embedded error prediction and compensation framework for robot multi-condition tasks
Teng Zhang, Fangyu Peng, Xiaowei Tang, et al.
Robotics and Computer-Integrated Manufacturing (2023) Vol. 86, pp. 102675-102675
Closed Access | Times Cited: 11
An efficient calibration method for serial industrial robots based on kinematics decomposition and equivalent systems
Yongbin Song, Wenjie Tian, Yanling Tian, et al.
Robotics and Computer-Integrated Manufacturing (2023) Vol. 84, pp. 102607-102607
Open Access | Times Cited: 10
A Novel Deep Learning-Based Spatio-Temporal Model for Prediction of Pose Residual Errors in Optical Processing Hybrid Robot
J. H. Li, Gang Cheng, Yusong Pang
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 6, pp. 8749-8762
Closed Access | Times Cited: 3
Machine learning-based 3D scan coverage prediction for smart-control applications
Tingcheng Li, Arnaud Polette, Ruding Lou, et al.
Computer-Aided Design (2024) Vol. 176, pp. 103775-103775
Open Access | Times Cited: 3
Adaptive prescribed settling time periodic event-triggered control for uncertain robotic manipulators with state constraints
Zicong Chen, Hui Zhang, Jianqi Liu, et al.
Neural Networks (2023) Vol. 166, pp. 1-10
Open Access | Times Cited: 9
An active semi-supervised transfer learning method for robot pose error prediction and compensation
Teng Zhang, Fangyu Peng, Xiaowei Tang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 128, pp. 107476-107476
Closed Access | Times Cited: 9
An ensemble multi-step forecasting model for ship roll motion under different external conditions: A case study on the South China Sea
Yunyu Wei, Zezong Chen, Chen Zhao, et al.
Measurement (2022) Vol. 201, pp. 111679-111679
Closed Access | Times Cited: 15
A general approach for robot pose error compensation based on an equivalent joint motion error model
Wenjie Tian, Mingshuai Huo, Xiangpeng Zhang, et al.
Measurement (2022) Vol. 203, pp. 111952-111952
Closed Access | Times Cited: 15
Supervised Machine-Learning Methodology for Industrial Robot Positional Health Using Artificial Neural Networks, Discrete Wavelet Transform, and Nonlinear Indicators
Ervin Galan-Uribe, Juan P. Amézquita-Sánchez, Luis Morales-Velázquez
Sensors (2023) Vol. 23, Iss. 6, pp. 3213-3213
Open Access | Times Cited: 8
High-precision magnetorheological finishing based on robot by measuring and compensating trajectory error
Runmu Cheng, Longxiang Li, Xingchang Li, et al.
Optics Express (2022) Vol. 30, Iss. 25, pp. 44741-44741
Open Access | Times Cited: 12
Uncertainty-aware error modeling and hierarchical redundancy optimization for robotic surface machining
Zhao-Yang Liao, Qinghui Wang, Zhihao Xu, et al.
Robotics and Computer-Integrated Manufacturing (2023) Vol. 87, pp. 102713-102713
Closed Access | Times Cited: 7
A method for predicting relative position errors in dual-robot systems via knowledge transfer from geometric and nongeometric calibration
Siming Cao, Hongfeng Wang, Yingjie Guo, et al.
Industrial Robot the international journal of robotics research and application (2024) Vol. 51, Iss. 2, pp. 314-325
Closed Access | Times Cited: 2
A Comprehensive On-Load Calibration Method for Industrial Robots Based on a Unified Kinetostatic Error Model and Gaussian Process Regression
Yaohua Zhou, Chin-Yin Chen, Ye Tang, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access | Times Cited: 2
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