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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:

The analysis of tool vibration signals by spectral kurtosis and ICEEMDAN modes energy for insert wear monitoring in turning operation
Mohamed Lamine Bouhalais, Mourad Nouioua
The International Journal of Advanced Manufacturing Technology (2021) Vol. 115, Iss. 9-10, pp. 2989-3001
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Intelligent tool wear monitoring and multi-step prediction based on deep learning model
Minghui Cheng, Jiao Li, Pei Yan, et al.
Journal of Manufacturing Systems (2021) Vol. 62, pp. 286-300
Closed Access | Times Cited: 128
Multi-sensor signal fusion for tool wear condition monitoring using denoising transformer auto-encoder Resnet
Hui Wang, Shuhui Wang, Weifang Sun, et al.
Journal of Manufacturing Processes (2024) Vol. 124, pp. 1054-1064
Closed Access | Times Cited: 8
Prediction and evaluation of surface roughness with hybrid kernel extreme learning machine and monitored tool wear
Minghui Cheng, Li Jiao, Pei Yan, et al.
Journal of Manufacturing Processes (2022) Vol. 84, pp. 1541-1556
Closed Access | Times Cited: 32
Prediction of surface roughness in turning using vibration features selected by largest Lyapunov exponent based ICEEMDAN decomposition
Vikrant Guleria, Vivek Kumar, Pradeep Kumar Singh
Measurement (2022) Vol. 202, pp. 111812-111812
Closed Access | Times Cited: 28
Surface roughness and tool wear monitoring in turning processes through vibration analysis using PSD and GRMS
Roumaissa Bouchama, Mohamed Lamine Bouhalais, Abdelhakim Cherfia
The International Journal of Advanced Manufacturing Technology (2024) Vol. 130, Iss. 7-8, pp. 3537-3552
Closed Access | Times Cited: 7
Research on loose bolt localization technology for transmission towers
Guanru Wen, Long Zhao, Zhicheng Liu, et al.
Structural Health Monitoring (2024) Vol. 23, Iss. 5, pp. 3134-3155
Closed Access | Times Cited: 5
Hybrid wind speed prediction framework using data pre-processing strategy based autoencoder network
Vishalteja Kosana, Kiran Teeparthi, Santhosh Madasthu
Electric Power Systems Research (2022) Vol. 206, pp. 107821-107821
Closed Access | Times Cited: 23
Cutting tool wear prediction based on chip features extracted from image processing and AutoML
Roumaissa Bouchama, Abdelhakim Cherfia, Yassine Chikh
The International Journal of Advanced Manufacturing Technology (2025)
Closed Access
Deep-learning-assisted online surface roughness monitoring in ultraprecision fly cutting
Adeel Shehzad, Xiaoting Rui, Yuanyuan Ding, et al.
Science China Technological Sciences (2024) Vol. 67, Iss. 5, pp. 1482-1497
Closed Access | Times Cited: 3
Effect of Milling Parameters on Amplitude Spectrum of Vibrations during Milling Materials Based on Wood
Áron Hortobágyi, Peter Koleda, Pavol Koleda, et al.
Applied Sciences (2023) Vol. 13, Iss. 8, pp. 5061-5061
Open Access | Times Cited: 4
Tool Wear Prediction Based on Residual Connection and Temporal Networks
Ziteng Li, Xinnan Lei, Zhichao You, et al.
Machines (2024) Vol. 12, Iss. 5, pp. 306-306
Open Access | Times Cited: 1
Temperature Contributes More than Precipitation to Runoff in the High Mountains of Northwest China
Mengtian Fan, Jianhua Xu, Yaning Chen, et al.
Remote Sensing (2022) Vol. 14, Iss. 16, pp. 4015-4015
Open Access | Times Cited: 7
Monitoring and optimization of machining process when turning of AISI316L based on response surface methodology, artificial neural network and desirability function.
oussama benkhelifa, Abdelhakim Cherfia, Mourad Nouioua
Research Square (Research Square) (2023)
Open Access | Times Cited: 3
Condition Assessment of Power Circuit Breakers Based on Machine Learning Algorithms
Kerim Obarčanin, Dzenita Skulj, Bakir Lačević
IEEE Transactions on Power Delivery (2023) Vol. 38, Iss. 4, pp. 2596-2606
Open Access | Times Cited: 3
Predictive modeling and optimization of dry turning of hardened steel
Nitin Ambhore, Mahendra U. Gaikwad, Amit S. Patil, et al.
International Journal on Interactive Design and Manufacturing (IJIDeM) (2023) Vol. 18, Iss. 8, pp. 6281-6287
Closed Access | Times Cited: 3
Influence of Sampling Frequency Ratio on Mode Mixing Alleviation Performance: A Comparative Study of Four Noise-Assisted Empirical Mode Decomposition Algorithms
Yanqing Zhao, Kondo H. Adjallah, Alexandre Sava, et al.
Machines (2021) Vol. 9, Iss. 12, pp. 315-315
Open Access | Times Cited: 8
A Novel Hybrid Model for Short-Term Wind Speed Forecasting Based on Twice Decomposition, PSR, and IMVO-ELM
Xin Xia, Xiaolu Wang
Complexity (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 5
A Novel Data-Driven Method with Decomposition Mechanism Suitable for Different Periods of Electrical Load Forecasting
Xiang Wang, Zhanxia Wu, Junxiong Ge, et al.
IEEE Access (2022) Vol. 10, pp. 56282-56295
Open Access | Times Cited: 4
Effect of Wear on Vibration Amplitude and Chip Shape Characteristics during Machining of Eco-Friendly and Leaded Brass Alloys
Peter Monka, Katarína Monková, George Pantazopoulos, et al.
Metals (2023) Vol. 13, Iss. 5, pp. 828-828
Open Access | Times Cited: 2
Advances in Key Technologies of the Intelligence Tool
YE Wenchang, GUO Bicheng, Deng Zhao-hui, et al.
Journal of Mechanical Engineering (2023) Vol. 59, Iss. 23, pp. 265-265
Open Access | Times Cited: 2
A data-driven method for prediction of surface roughness with consideration of milling tool wear
Zhao Zhang, Long Jia, Ming Luo, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 134, Iss. 9-10, pp. 4271-4282
Closed Access
Experimental Investigation of Tool Lifespan Evolution During Turning Operation Based on the New Spectral Indicator OLmod
Mohamed Khemissi Babouri, Nouredine Ouelaa, Mohamed Cherif Djamaa, et al.
Journal of Vibration Engineering & Technologies (2023) Vol. 12, Iss. 4, pp. 5455-5473
Closed Access | Times Cited: 1
Optimization with artificial intelligence of the machinability of Hardox steel, which is exposed to different processes
Mehmet Altuğ, Hasan Söyler
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 1
Mechanical vibration monitoring system for electrocardiogram machine based on Hilbert‐Huang transformations
Yongbo Zhu, Lijun Xu, Issah Abubakari Samori
The Journal of Engineering (2022) Vol. 2022, Iss. 11, pp. 1104-1113
Open Access | Times Cited: 1
Vibration wear mechanism and its control method for large-pitch screw turning tool
Xiangfu Fu, Kangnan Li, Minli Zheng, et al.
The International Journal of Advanced Manufacturing Technology (2023) Vol. 127, Iss. 5-6, pp. 2637-2654
Closed Access
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