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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:

Real-time monitoring and measurement of energy characteristics in sustainable machining of titanium alloys
Munish Kumar Gupta, Mehmet Erdi Korkmaz, Hakan Yılmaz, et al.
Measurement (2023) Vol. 224, pp. 113937-113937
Open Access | Times Cited: 16

Showing 16 citing articles:

Application of a composite parameter-driven TimeMixer model for Multi-Step prediction of NOx at the SCR Inlet of a 660 MW boiler
Yanpeng Chen, Haiping Xiao, C. X. Hong, et al.
Fuel (2025) Vol. 386, pp. 134060-134060
Closed Access | Times Cited: 1
Tribological and micro-milling performance of surfactant-free microwave plasma-modified Al2O3 nanoparticles biodegradable lubricants
Zhenjing Duan, Shuaishuai Wang, Changhe Li, et al.
Journal of Cleaner Production (2025) Vol. 493, pp. 144969-144969
Closed Access | Times Cited: 1
A new intelligent approach of surface roughness measurement in sustainable machining of AM-316L stainless steel with deep learning models
Nimel Sworna Ross, Peter Madindwa Mashinini, C. Sherin Shibi, et al.
Measurement (2024) Vol. 230, pp. 114515-114515
Closed Access | Times Cited: 11
Towards sustainability assessment, energy consumption, and carbon emissions in cryogenic drilling of Alloy 20: a new approach towards sustainable future and challenges
Vinothkumar Sivalingam, Haochen Liu, S. Baskaran, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 131, Iss. 3-4, pp. 1151-1165
Closed Access | Times Cited: 6
Estimation of cutting temperature using machine learning based on signal information received from power analyzer in vortex machining conditions
Yusuf Sıyambaş, Aslan Akdulum, Ramazan Çakıroğlu, et al.
Journal of Manufacturing Processes (2025) Vol. 137, pp. 100-112
Closed Access
An integration model enabled deep learning for energy prediction of machine tools
Yang Xie, Yiqun Dai, Chaoyong Zhang, et al.
Journal of Cleaner Production (2025), pp. 145075-145075
Closed Access
A response surface methodology approach to crafting superior performance of potassium salt-based solid biopolymer electrolytes
Abdullahi Abbas Adam, Hassan Soleimani, John Ojur Dennis, et al.
Measurement (2024) Vol. 227, pp. 114210-114210
Closed Access | Times Cited: 4
Multi-objective modeling and evaluation for energy saving and high efficiency production oriented multidirectional turning considering energy, efficiency, economy and quality
Yanqi Li, Junming Chen, Yu Wang, et al.
Energy (2024) Vol. 294, pp. 130780-130780
Closed Access | Times Cited: 4
Effect of reinforced particles on the machinability of Al alloy under MQL, cryogenic, and hybrid lubrication
Vinothkumar Sivalingam, Haochen Liu, Saurabh Tiwari, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 132, Iss. 7-8, pp. 3349-3361
Closed Access | Times Cited: 4
Machine learning models for enhanced cutting temperature prediction in hard milling process
Arumugam Balasuadhakar, S. Thirumalai Kumaran, M. Uthayakumar
International Journal on Interactive Design and Manufacturing (IJIDeM) (2024) Vol. 18, Iss. 6, pp. 3935-3950
Closed Access | Times Cited: 4
Tool Condition Monitoring in the Milling Process Using Deep Learning and Reinforcement Learning
K. Devarajan, T. Mohanraj, Pavan Pradeep, et al.
Journal of Sensor and Actuator Networks (2024) Vol. 13, Iss. 4, pp. 42-42
Open Access | Times Cited: 4
Prediction of dimensional deviation and quality tolerance class in the production of AlSi10Mg alloy parts with laser powder bed fusion using machine learning algorithms
Yusuf Sıyambaş, Yakup Turgut, Aslan Akdulum
Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering (2025)
Closed Access
Prediction of Feed Force with Machine Learning Algorithms in Boring of AISI P20 Plastic Mold Steel
Aslan Akdulum, Mehmet Süzgünol, Yunus Kayır
Materials Today Communications (2024), pp. 110704-110704
Closed Access | Times Cited: 3
Optimizing Mixed-Model Synchronous Assembly Lines with Bipartite Sequence-Dependent Setup Times in Advanced Manufacturing
Asieh Varyani, Mohsen Salehi, Meysam Heydari Gharahcheshmeh
Energies (2024) Vol. 17, Iss. 12, pp. 2865-2865
Open Access | Times Cited: 1
Review Regarding the Influence of Cryogenic Milling on Materials Used in the Aerospace Industry
Bogdan G. Nita, Raluca Tampu, Cătălin Tâmpu, et al.
Journal of Manufacturing and Materials Processing (2024) Vol. 8, Iss. 5, pp. 186-186
Open Access | Times Cited: 1
Studies on energy consumption and other important machining characteristics in sustainable turning of EA1N railway axle steel
Mehmet Dinçsoy, Mehmet Erdi Korkmaz, Munish Kumar Gupta, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 133, Iss. 5-6, pp. 2303-2317
Open Access
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