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:

A state-of-the-art review on sensors and signal processing systems in mechanical machining processes
Mustafa Kuntoğlu, Emin Salur, Munish Kumar Gupta, et al.
The International Journal of Advanced Manufacturing Technology (2021) Vol. 116, Iss. 9-10, pp. 2711-2735
Closed Access | Times Cited: 78

Showing 1-25 of 78 citing articles:

Artificial intelligence systems for tool condition monitoring in machining: analysis and critical review
Danil Yurievich Pimenov, Andrés Bustillo, Szymon Wojciechowski, et al.
Journal of Intelligent Manufacturing (2022) Vol. 34, Iss. 5, pp. 2079-2121
Closed Access | Times Cited: 220

Application of measurement systems in tool condition monitoring of Milling: A review of measurement science approach
Danil Yurievich Pimenov, Munish Kumar Gupta, Leonardo Rosa Ribeiro da Silva, et al.
Measurement (2022) Vol. 199, pp. 111503-111503
Open Access | Times Cited: 96

Tool Condition Monitoring for High-Performance Machining Systems—A Review
Ayman Mohamed, Mahmoud Hassan, Rachid M’Saoubi, et al.
Sensors (2022) Vol. 22, Iss. 6, pp. 2206-2206
Open Access | Times Cited: 88

Process monitoring of machining
Roberto Teti, Dimitris Mourtzis, Doriana M. D’Addona, et al.
CIRP Annals (2022) Vol. 71, Iss. 2, pp. 529-552
Closed Access | Times Cited: 82

Milling tool wear prediction using multi-sensor feature fusion based on stacked sparse autoencoders
Zhaopeng He, Tielin Shi, Jianping Xuan
Measurement (2022) Vol. 190, pp. 110719-110719
Closed Access | Times Cited: 68

Chatter detection in milling processes—a review on signal processing and condition classification
John Henry Navarro-Devia, Yun Chen, Dzung Viet Dao, et al.
The International Journal of Advanced Manufacturing Technology (2023) Vol. 125, Iss. 9-10, pp. 3943-3980
Open Access | Times Cited: 45

Tool wear prediction in face milling of stainless steel using singular generative adversarial network and LSTM deep learning models
Milind Shah, Vinay Vakharia, Rakesh Chaudhari, et al.
The International Journal of Advanced Manufacturing Technology (2022) Vol. 121, Iss. 1-2, pp. 723-736
Open Access | Times Cited: 65

Investigation of the Effects of Cooling and Lubricating Strategies on Tribological Characteristics in Machining of Hybrid Composites
Serhat Şap, Üsame Ali Usca, Mahir Uzun, et al.
Lubricants (2022) Vol. 10, Iss. 4, pp. 63-63
Open Access | Times Cited: 52

A Comparative Review of Thermocouple and Infrared Radiation Temperature Measurement Methods during the Machining of Metals
Emilios Leonidas, Sabino Ayvar-Soberanis, Hatim Laalej, et al.
Sensors (2022) Vol. 22, Iss. 13, pp. 4693-4693
Open Access | Times Cited: 42

Application of sophisticated sensors to advance the monitoring of machining processes: analysis and holistic review
Sumanth Ratna Kandavalli, Aqib Mashood Khan, Asif Iqbal, et al.
The International Journal of Advanced Manufacturing Technology (2023) Vol. 125, Iss. 3-4, pp. 989-1014
Closed Access | Times Cited: 28

Review of advanced sensor system applications in grinding operations
Danil Yurievich Pimenov, Leonardo Rosa Ribeiro da Silva, Mustafa Kuntoğlu, et al.
Journal of Advanced Research (2025)
Open Access | Times Cited: 1

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

Review on functionalized CNTs reinforced silicone rubber composites for potential wearable applications
Vineet Kumar, Md Najib Alam, Sang‐Shin Park
Polymer Composites (2024)
Closed Access | Times Cited: 5

Cutting tool wear monitoring based on a smart toolholder with embedded force and vibration sensors and an improved residual network
Pengfei Zhang, Dong Gao, Yong Lü, et al.
Measurement (2022) Vol. 199, pp. 111520-111520
Closed Access | Times Cited: 25

Improving the useful life of tools using active vibration control through data-driven approaches: A systematic literature review
Vivek Warke, Satish Kumar, Arunkumar Bongale, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 128, pp. 107367-107367
Open Access | Times Cited: 13

Identification of Tool-Wear State Using Information Fusion and SSA–BP Neural Network
Zishuo Wang, Hongwei Cui, Shuning Liang, et al.
Machines (2025) Vol. 13, Iss. 4, pp. 256-256
Open Access

Measurement and analysis of sustainable indicators in machining of Armox 500T armor steel
Mustafa Kuntoğlu
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science (2022) Vol. 236, Iss. 13, pp. 7330-7349
Closed Access | Times Cited: 19

Precise measurement of geometric and physical quantities in cutting tools inspection and condition monitoring: A review
Wenqi Wang, Wei Liu, Yang Zhang, et al.
Chinese Journal of Aeronautics (2023) Vol. 37, Iss. 4, pp. 23-53
Open Access | Times Cited: 12

A reduced-order machine-learning-based method for fault recognition in tool condition monitoring
Javad Isavand, Afshar Kasaei, Andrew Peplow, et al.
Measurement (2023) Vol. 224, pp. 113906-113906
Closed Access | Times Cited: 11

Tool Condition Monitoring of the Cutting Capability of a Turning Tool Based on Thermography
Nika Brili, Mirko Ficko, Simon Klančnik
Sensors (2021) Vol. 21, Iss. 19, pp. 6687-6687
Open Access | Times Cited: 23

Cutting temperature measurement in turning using fiber-optic multi-spectral radiation thermometry and its application in tool wear status recognition
Jinghui Han, Zhiyong Liu, Kaiwei Cao, et al.
Measurement (2022) Vol. 198, pp. 111413-111413
Closed Access | Times Cited: 17

A systematic review of artificial intelligence in the detection of cutting tool breakage in machining operations
Wenchao Xiao, Jianghua Huang -, Baoyu Wang, et al.
Measurement (2022) Vol. 190, pp. 110748-110748
Closed Access | Times Cited: 16

A Short and Technical Review on Lattice Structures Produced by Additive Manufacturing
Mehmet Tayyip Özdemir, Mehmet Erdi Korkmaz
Prabha Materials Science Letters (2023) Vol. 2, Iss. 1, pp. 48-61
Open Access | Times Cited: 10

Deep learning-based adaptive mode decomposition and instantaneous frequency estimation for vibration signal
Yibing Guo, Yuequan Bao, Hui Li, et al.
Mechanical Systems and Signal Processing (2023) Vol. 199, pp. 110463-110463
Closed Access | Times Cited: 10

MRF based image stitching of electroplated diamond wire saw: For improving visual inspection accuracy of manufacturing quality
Yukang Zhao, Peiqi Ge, Wenbo Bi, et al.
Measurement (2023) Vol. 208, pp. 112486-112486
Closed Access | Times Cited: 9

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