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:

Correlation analysis-based thermal error control with ITSA-GRU-A model and cloud-edge-physical collaboration framework
Qiang Yuan, Chi Ma, Jialan Liu, et al.
Advanced Engineering Informatics (2022) Vol. 54, pp. 101759-101759
Closed Access | Times Cited: 18

Showing 18 citing articles:

Modeling and compensation of small-sample thermal error in precision machine tool spindles using spatial–temporal feature interaction fusion network
Qian Chen, Xuesong Mei, Jialong He, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102741-102741
Closed Access | Times Cited: 41
Predicting and compensating for small-sample thermal information data in precision machine tools: A spatial-temporal interactive integration network and digital twin system approach
Zheng Wu, Chi Ma, Lang Zhang, et al.
Applied Soft Computing (2024) Vol. 161, pp. 111760-111760
Closed Access | Times Cited: 36
Intelligent Productivity Transformation
Bojing Liu, Mengxiang Li, Zihui Ji, et al.
Journal of Organizational and End User Computing (2024) Vol. 36, Iss. 1, pp. 1-27
Open Access | Times Cited: 17
Thermal error prediction model of high-speed motorized spindle based on DELM network optimized by weighted mean of vectors algorithm
Ye Dai, Jian Pang, Xukun Rui, et al.
Case Studies in Thermal Engineering (2023) Vol. 47, pp. 103054-103054
Open Access | Times Cited: 24
MA-CNN based spindle thermal error modeling using the depth feature analysis with thermal error mechanism
Guoqiang Fu, Sen Mu, Yue Zheng, et al.
Measurement (2024) Vol. 226, pp. 114183-114183
Closed Access | Times Cited: 11
Research on electric spindle thermal error prediction model based on DBO-SVM
Yaonan Cheng, Kezhi Qiao, Shenhua Jin, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 132, Iss. 7-8, pp. 3333-3347
Closed Access | Times Cited: 8
A Comprehensive Review of the Tunicate Swarm Algorithm: Variations, Applications, and Results
Rong Zheng, Abdelazim G. Hussien, Anas Bouaouda, et al.
Archives of Computational Methods in Engineering (2025)
Closed Access
Thermal error prediction of precision boring machine tools based on extreme gradient boosting algorithm-improved sailed fish optimizer-bi-directional ordered neurons-long short-term memory neural network model and physical-edge-cloud system
Mengyuan Li, Chi Ma, Jialan Liu, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107278-107278
Closed Access | Times Cited: 12
Enhanced modeling method of thermal behaviors in machine tool motorized spindles based on the mixture of thermal mechanism and machine learning
Yun Yang, Jun Lv, Yukun Xiao, et al.
Journal of Intelligent Manufacturing (2023)
Closed Access | Times Cited: 10
Data-driven learning-based Model Predictive Control for energy-intensive systems
Jiawei Chen, Gangyan Xu, Ziye Zhou
Advanced Engineering Informatics (2023) Vol. 58, pp. 102208-102208
Closed Access | Times Cited: 9
Subspace Metric-Based Transfer Learning for Spindle Thermal Error Prediction Under Time-Varying Conditions
Haoyang Mao, Zhenyu Liu, Chan Qiu, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access | Times Cited: 2
Study on Thermal Error Modeling for CNC Machine Tools Based on the Improved Radial Basis Function Neural Network
Zhiming Feng, Xinglong Min, Wei Jiang, et al.
Applied Sciences (2023) Vol. 13, Iss. 9, pp. 5299-5299
Open Access | Times Cited: 5
Thermal analytical modeling of machine tool structural components via dual-layer equivalence
Lingtao Weng, Weiguo Gao, Dawei Zhang, et al.
International Journal of Heat and Mass Transfer (2023) Vol. 221, pp. 125083-125083
Closed Access | Times Cited: 2
Substation equipment temperature prediction based on multivariate information fusion and deep learning network
Lijie Sun, Chunxue Liu, Ying Wang, et al.
PeerJ Computer Science (2022) Vol. 8, pp. e1172-e1172
Open Access | Times Cited: 3
Edge-fog-cloud hybrid collaborative computing solution with an improved parallel evolutionary strategy for enhancing tasks offloading efficiency in intelligent manufacturing workshops
Zhiwen Lin, Zhifeng Liu, Yueze Zhang, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access
A temperature-sensitive points selection method for machine tool based on rough set and multi-objective adaptive hybrid evolutionary algorithm
Jie Pei, Ping Yan, Han Zhou, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102844-102844
Closed Access
Data-driven thermal error prediction of spindle with mechanism-reinforced temperature information
Zheyu Li, Guolong Li, Kai Xu, et al.
Advanced Engineering Informatics (2024) Vol. 64, pp. 103005-103005
Closed Access
Digital twin-based thermal analysis of a frequency synthesizer
Darong Huang, Min Tang, Shuiqing Xu, et al.
Engineering Analysis with Boundary Elements (2023) Vol. 152, pp. 446-454
Closed Access | Times Cited: 1
Page 1

Scroll to top