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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:

An analytical approach for crucial geometric errors identification of multi-axis machine tool based on global sensitivity analysis
Qiang Cheng, Hongwei Zhao, Guojun Zhang, et al.
The International Journal of Advanced Manufacturing Technology (2014) Vol. 75, Iss. 1-4, pp. 107-121
Closed Access | Times Cited: 81

Showing 1-25 of 81 citing articles:

Multi-sensor information fusion for remaining useful life prediction of machining tools by adaptive network based fuzzy inference system
Jun Wu, Yongheng Su, Yiwei Cheng, et al.
Applied Soft Computing (2018) Vol. 68, pp. 13-23
Closed Access | Times Cited: 168
Geometric error measuring, modeling, and compensation for CNC machine tools: A review
Zhao Zhang, Feng Jiang, Ming Luo, et al.
Chinese Journal of Aeronautics (2023) Vol. 37, Iss. 2, pp. 163-198
Open Access | Times Cited: 45
A machining accuracy improvement approach for a horizontal machining center based on analysis of geometric error characteristics
Peng Niu, Qiang Cheng, Zhifeng Liu, et al.
The International Journal of Advanced Manufacturing Technology (2021) Vol. 112, Iss. 9-10, pp. 2873-2887
Closed Access | Times Cited: 59
Optimal proportion compensation method of key geometric errors for five-axis machine tools considering multiple-direction coupling effects
Hainan Zhang, Sitong Xiang, Cheng Wu, et al.
Journal of Manufacturing Processes (2024) Vol. 110, pp. 447-461
Closed Access | Times Cited: 9
Machining accuracy improvement of non-orthogonal five-axis machine tools by a new iterative compensation methodology based on the relative motion constraint equation
Changjun Wu, Jinwei Fan, Qiaohua Wang, et al.
International Journal of Machine Tools and Manufacture (2017) Vol. 124, pp. 80-98
Closed Access | Times Cited: 78
Identification and compensation of main machining errors on surface form accuracy in ultra-precision diamond turning
Xianlei Liu, Xiaodong Zhang, Fengzhou Fang, et al.
International Journal of Machine Tools and Manufacture (2016) Vol. 105, pp. 45-57
Closed Access | Times Cited: 75
Machining accuracy reliability analysis of multi-axis machine tool based on Monte Carlo simulation
Qiang Cheng, Hongwei Zhao, Yongsheng Zhao, et al.
Journal of Intelligent Manufacturing (2015) Vol. 29, Iss. 1, pp. 191-209
Closed Access | Times Cited: 69
Geometric error contribution modeling and sensitivity evaluating for each axis of five-axis machine tools based on POE theory and transforming differential changes between coordinate frames
Guoqiang Fu, Hongwei Gong, Jianzhong Fu, et al.
International Journal of Machine Tools and Manufacture (2019) Vol. 147, pp. 103455-103455
Closed Access | Times Cited: 56
Kinematic sensitivity analysis of manipulators using a novel dimensionless index
Allaoua Brahmia, Ridha Kelaiaia, Olivier Company, et al.
Robotics and Autonomous Systems (2022) Vol. 150, pp. 104021-104021
Open Access | Times Cited: 27
Sensitivity analysis of error term of machine tools considering randomness
Yangfan Li, Zhenyu Tian, Yingjie Zhang, et al.
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2025) Vol. 47, Iss. 4
Closed Access
Design and manufacturing model of customized hydrostatic bearing system based on cloud and big data technology
Zhifeng Liu, Yumo Wang, Ligang Cai, et al.
The International Journal of Advanced Manufacturing Technology (2015) Vol. 84, Iss. 1-4, pp. 261-273
Closed Access | Times Cited: 58
Product-of-exponential formulas for precision enhancement of five-axis machine tools via geometric error modeling and compensation
Guoqiang Fu, Jianzhong Fu, Hongyao Shen, et al.
The International Journal of Advanced Manufacturing Technology (2015) Vol. 81, Iss. 1-4, pp. 289-305
Closed Access | Times Cited: 57
A data-driven method based on deep belief networks for backlash error prediction in machining centers
Zhe Li, Yi Wang, Kesheng Wang
Journal of Intelligent Manufacturing (2017) Vol. 31, Iss. 7, pp. 1693-1705
Closed Access | Times Cited: 53
Geometric error modeling and sensitivity analysis of a five-axis machine tool
Jie Li, Fugui Xie, Xin-Jun Liu
The International Journal of Advanced Manufacturing Technology (2015) Vol. 82, Iss. 9-12, pp. 2037-2051
Closed Access | Times Cited: 52
Stiffness modeling of machine tools based on machining space analysis
Xianming Gao, Baotong Li, Jun Hong, et al.
The International Journal of Advanced Manufacturing Technology (2016) Vol. 86, Iss. 5-8, pp. 2093-2106
Closed Access | Times Cited: 50
Simultaneous geometric error identification of rotary axis and tool setting in an ultra-precision 5-axis machine tool using on-machine measurement
Sangjin Maeng, Sangkee Min
Precision Engineering (2020) Vol. 63, pp. 94-104
Closed Access | Times Cited: 39
An approach for accuracy enhancement of five-axis machine tools based on quantitative interval sensitivity analysis
Jinwei Fan, Haohao Tao, Ri Pan, et al.
Mechanism and Machine Theory (2020) Vol. 148, pp. 103806-103806
Closed Access | Times Cited: 39
Machining accuracy reliability evaluation of CNC machine tools based on the milling stability optimization
Ziling Zhang, Yujie Yang, Guowei Li, et al.
The International Journal of Advanced Manufacturing Technology (2022) Vol. 124, Iss. 11-12, pp. 4057-4074
Closed Access | Times Cited: 22
Aerodynamic Sensitivities over Separable Shape Tensors
Olga A. Doronina, Bumseok Lee, Zachary Grey, et al.
AIAA Journal (2025), pp. 1-14
Closed Access
Geometric Accuracy Design and Tolerance Allocation of Precision Horizontal Machining Centers
Lina Wang, Xingxing Liu, Wenjie Tian, et al.
Machines (2025) Vol. 13, Iss. 3, pp. 187-187
Open Access
An identification method for crucial geometric errors of gear form grinding machine tools based on tooth surface posture error model
Changjiu Xia, Shilong Wang, Shouli Sun, et al.
Mechanism and Machine Theory (2019) Vol. 138, pp. 76-94
Closed Access | Times Cited: 40
Machining accuracy improvement for a dual-spindle ultra-precision drum roll lathe based on geometric error analysis and calibration
Yutao Liu, Fei Ding, Duo Li, et al.
Precision Engineering (2020) Vol. 66, pp. 401-416
Closed Access | Times Cited: 38
Gear evaluation deviations-based crucial geometric error identification of five-axis CNC gear form grinding process
Shuang Ding, Zhiwei Chen, Hu Zhang, et al.
Journal of Manufacturing Processes (2023) Vol. 99, pp. 663-675
Closed Access | Times Cited: 12
Prediction and compensation of geometric error for translational axes in multi-axis machine tools
Changjun Wu, Jinwei Fan, Qiaohua Wang, et al.
The International Journal of Advanced Manufacturing Technology (2017) Vol. 95, Iss. 9-12, pp. 3413-3435
Closed Access | Times Cited: 39
Investigation of sensitivity analysis and compensation parameter optimization of geometric error for five-axis machine tool
Shijie Guo, Gedong Jiang, Xuesong Mei
The International Journal of Advanced Manufacturing Technology (2017) Vol. 93, Iss. 9-12, pp. 3229-3243
Closed Access | Times Cited: 36
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