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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:

Optimization and Analysis of Surface Roughness, Flank Wear and 5 Different Sensorial Data via Tool Condition Monitoring System in Turning of AISI 5140
Mustafa Kuntoğlu, Abdullah Aslan, H. Saĝlam, et al.
Sensors (2020) Vol. 20, Iss. 16, pp. 4377-4377
Open Access | Times Cited: 103

Showing 1-25 of 103 citing articles:

A Review of Indirect Tool Condition Monitoring Systems and Decision-Making Methods in Turning: Critical Analysis and Trends
Mustafa Kuntoğlu, Abdullah Aslan, Danil Yurievich Pimenov, et al.
Sensors (2020) Vol. 21, Iss. 1, pp. 108-108
Open Access | Times Cited: 224
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: 222
Investigation of signal behaviors for sensor fusion with tool condition monitoring system in turning
Mustafa Kuntoğlu, H. Saĝlam
Measurement (2020) Vol. 173, pp. 108582-108582
Closed Access | Times Cited: 156
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: 97
Modeling of Cutting Parameters and Tool Geometry for Multi-Criteria Optimization of Surface Roughness and Vibration via Response Surface Methodology in Turning of AISI 5140 Steel
Mustafa Kuntoğlu, Abdullah Aslan, Danil Yurievich Pimenov, et al.
Materials (2020) Vol. 13, Iss. 19, pp. 4242-4242
Open Access | Times Cited: 103
Tool wear, surface roughness, cutting temperature and chips morphology evaluation of Al/TiN coated carbide cutting tools in milling of Cu–B–CrC based ceramic matrix composites
Üsame Ali Usca, Mahir Uzun, Serhat Şap, et al.
Journal of Materials Research and Technology (2021) Vol. 16, pp. 1243-1259
Open Access | Times Cited: 83
Improving mechanical properties of nano-sized TiC particle reinforced AA7075 Al alloy composites produced by ball milling and hot pressing
Emin Salur, Mustafa Acarer, İlyas Şavklıyıldız
Materials Today Communications (2021) Vol. 27, pp. 102202-102202
Closed Access | Times Cited: 82
Tool wear prediction in high-speed turning of a steel alloy using long short-term memory modelling
Mohsen Marani, Mohammadjavad Zeinali, Victor Songmené, et al.
Measurement (2021) Vol. 177, pp. 109329-109329
Closed Access | Times Cited: 82
Data-Driven Remaining Useful Life Estimation for Milling Process: Sensors, Algorithms, Datasets, and Future Directions
Sameer Sayyad, Satish Kumar, Arunkumar Bongale, et al.
IEEE Access (2021) Vol. 9, pp. 110255-110286
Open Access | Times Cited: 79
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
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: 66
Tool wear and machinability investigations in dry turning of Cu/Mo-SiCp hybrid composites
Emine Şap, Üsame Ali Usca, Munish Kumar Gupta, et al.
The International Journal of Advanced Manufacturing Technology (2021) Vol. 114, Iss. 1-2, pp. 379-396
Closed Access | Times Cited: 65
Parametric Optimization for Improving the Machining Process of Cu/Mo-SiCP Composites Produced by Powder Metallurgy
Emine Şap, Üsame Ali Usca, Munish Kumar Gupta, et al.
Materials (2021) Vol. 14, Iss. 8, pp. 1921-1921
Open Access | Times Cited: 60
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: 29
State-of-the-art review of applications of image processing techniques for tool condition monitoring on conventional machining processes
Danil Yurievich Pimenov, Leonardo Rosa Ribeiro da Silva, Ali Erçetin, et al.
The International Journal of Advanced Manufacturing Technology (2023) Vol. 130, Iss. 1-2, pp. 57-85
Open Access | Times Cited: 24
Sustainable hard machining under zirconia nano-cutting fluid: A step towards a green and cleaner manufacturing process
Saswat Khatai, Ashok Kumar Sahoo, Ramanuj Kumar, et al.
Measurement (2024), pp. 116087-116087
Closed Access | Times Cited: 8
The effects of harsh aging environments on the properties of neat and MWCNT reinforced epoxy resins
Abdullah Aslan, Emin Salur, Hayrettin Düzcükoğlu, et al.
Construction and Building Materials (2020) Vol. 272, pp. 121929-121929
Closed Access | Times Cited: 51
Tribological Aspects, Optimization and Analysis of Cu-B-CrC Composites Fabricated by Powder Metallurgy
Üsame Ali Usca, Mahir Uzun, Mustafa Kuntoğlu, et al.
Materials (2021) Vol. 14, Iss. 15, pp. 4217-4217
Open Access | Times Cited: 50
Determination of machinability metrics of AISI 5140 steel for gear manufacturing using different cooling/lubrication conditions
Üsame Ali Usca, Mahir Uzun, Serhat Şap, et al.
Journal of Materials Research and Technology (2022) Vol. 21, pp. 893-904
Open Access | Times Cited: 33
The relationship between reinforcement ratio and e-beam irradiation in Y2O3 reinforced Al6061 Alloys: A crystallographic assessment
Mehmet Şahin Ataş
Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms (2024) Vol. 548, pp. 165252-165252
Closed Access | Times Cited: 6
Utilizing TGAN and ConSinGAN for Improved Tool Wear Prediction: A Comparative Study with ED-LSTM, GRU, and CNN Models
Milind Shah, Himanshu Borade, Vipul Dave, et al.
Electronics (2024) Vol. 13, Iss. 17, pp. 3484-3484
Open Access | Times Cited: 6
ANOVA and fuzzy rule based evaluation and estimation of flank wear, temperature and acoustic emission in turning
Mustafa Kuntoğlu, H. Saĝlam
CIRP journal of manufacturing science and technology (2021) Vol. 35, pp. 589-603
Closed Access | Times Cited: 40
Parametric Optimization for Cutting Forces and Material Removal Rate in the Turning of AISI 5140
Mustafa Kuntoğlu, Osman Acar, Munish Kumar Gupta, et al.
Machines (2021) Vol. 9, Iss. 5, pp. 90-90
Open Access | Times Cited: 38
Heterogeneous sensors-based feature optimisation and deep learning for tool wear prediction
Xiaoyang Zhang, Sheng Wang, Weidong Li, et al.
The International Journal of Advanced Manufacturing Technology (2021) Vol. 114, Iss. 9-10, pp. 2651-2675
Closed Access | Times Cited: 36
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