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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:

A Review of the Factors Influencing Surface Roughness in Machining and Their Impact on Sustainability
José V. Abellán‐Nebot, C. Vila, Héctor R. Siller
Sustainability (2024) Vol. 16, Iss. 5, pp. 1917-1917
Open Access | Times Cited: 17

Showing 17 citing articles:

Nano lubricants in machining and tribology applications: A state of the art review on challenges and future trend
Mehmet Erdi Korkmaz, Munish Kumar Gupta
Journal of Molecular Liquids (2024) Vol. 407, pp. 125261-125261
Open Access | Times Cited: 10
Application of Machine Learning to the Prediction of Surface Roughness in the Milling Process on the Basis of Sensor Signals
Katarzyna Antosz, Edward Kozłowski, Jarosław Sęp, et al.
Materials (2025) Vol. 18, Iss. 1, pp. 148-148
Open Access | Times Cited: 1
Eco-Friendly Drilling of AA 5052-H32 Alloy: Influence of Jasmine-Based Cutting Fluid on Surface Quality and Burr Formation
Muhammad Yasir, Amar ul Hassan Khawaja, Mubashir Gulzar, et al.
Research Square (Research Square) (2025)
Closed Access | Times Cited: 1
The Analytical and Experimental Analysis of the Machined Surface Roughness in High-Feed Tangential Turning
István Sztankovics
Eng—Advances in Engineering (2024) Vol. 5, Iss. 3, pp. 1768-1784
Open Access | Times Cited: 5
An Experimental Analysis of Taguchi-Based Gray Relational Analysis, Weighted Gray Relational Analysis, and Data Envelopment Analysis Ranking Method Multi-Criteria Decision-Making Approaches to Multiple-Quality Characteristic Optimization in the CNC Drilling Process
Fitore Abdullahu, Fatlume Zhujani, Georgi Todorov, et al.
Processes (2024) Vol. 12, Iss. 6, pp. 1212-1212
Open Access | Times Cited: 4
Integration of Hybrid Machine Learning and Multi-Objective Optimization for Enhanced Turning Parameters of EN-GJL-250 Cast Iron
Yacine Karmi, Haithem Boumediri, Omar Reffas, et al.
Crystals (2025) Vol. 15, Iss. 3, pp. 264-264
Open Access
SEM Analysis of Surface Layers with Variable Ra Parameters for Tribological Optimization in Design Engineering
P. Knast, Jana Petrů, Stanisław Legutko, et al.
MANUFACTURING TECHNOLOGY (2025)
Open Access
Influence of Machining Parameters on the Surface Roughness and Tool Wear During Slot Milling of a Polyurethane Block
Karolina Szadkowska, Norbert Kępczak, Wojciech Stachurski, et al.
Materials (2025) Vol. 18, Iss. 1, pp. 193-193
Open Access
Predictive Modelling of Surface Roughness in Grinding Operations Using Machine Learning Techniques
Maya M. Charde, Trupti P. Najan, Lenka Čepová, et al.
MANUFACTURING TECHNOLOGY (2025)
Open Access
Performance Investigation of Coated Carbide Tools in Milling Procedures
Paschalis Charalampous
Applied Sciences (2025) Vol. 15, Iss. 7, pp. 3765-3765
Open Access
Halogen-free ionic liquid as metalworking fluids in machining: A promising cleaner approach
Arun Kumar Bambam, Abira Rashid, Kishor Kumar Gajrani
Journal of Cleaner Production (2025), pp. 145454-145454
Closed Access
Improving computer numerical control (CNC) turning performance of AISI D2 steel with nanofluid composites and advanced machine learning techniques
Dame Alemayehu Efa, Naol Dessalegn Dejene, Dejene Alemayehu Ifa, et al.
The International Journal of Advanced Manufacturing Technology (2025)
Closed Access
Predicting surface roughness in dry machining of AISI H13 steel: a comparison of machine learning and GPT-based models with ceramic cutting tool
Alex Fernandes de Souza, Filipe Alves Neto Verri, Paulo Henrique da Silva Campos, et al.
The International Journal of Advanced Manufacturing Technology (2025)
Closed Access
A Study on the Wear Properties of Al6061-T6 Alloy for Rotary Joints by Surface Roughness
Joo-hyun Kim, Ji-sang Park, Jong‐Wook Lee, et al.
Journal of the Korean Society of Manufacturing Process Engineers (2024) Vol. 23, Iss. 8, pp. 55-61
Closed Access | Times Cited: 3
The Influence of Insert Mounting Errors on the Surface Roughness of 1.0503 Steel in Face Milling
Łukasz Nowakowski, Jarosław Rolek, Sławomir Błasiak, et al.
Materials (2024) Vol. 17, Iss. 24, pp. 6144-6144
Open Access | Times Cited: 1
Maximizing efficiency in C45 steel machining: an integrated AI-based approach to coated insert optimization
K. Shunmugesh, Sony Kurian, M. Adam Khan, et al.
International Journal on Interactive Design and Manufacturing (IJIDeM) (2024)
Open Access
Sustainable Machining: A Case Study on Face Milling of AISI 1045 Steel Using a Multi-Objective Optimization Approach
M. Venkata Roshan, C.S. Sumesh, S. Sakthi Balaji, et al.
International Journal on Interactive Design and Manufacturing (IJIDeM) (2024)
Closed Access
Wear Behavior of Ceramic Tools in Longitudinal‐Torsional Ultrasonic Vibration‐Assisted Milling
Kai Luo, Ying Niu, Wei Pan, et al.
Advanced Engineering Materials (2024)
Closed Access
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