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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:

Integrating response surface methodology and machine learning for analyzing the unconventional machining properties of hybrid fiber‐reinforced composites
V. Vinoth, S. Sathiyamurthy, S. Saravanakumar, et al.
Polymer Composites (2024) Vol. 45, Iss. 7, pp. 6077-6092
Closed Access | Times Cited: 15

Showing 15 citing articles:

Enhancing machining accuracy of banana fiber-reinforced composites with ensemble machine learning
S. Saravanakumar, S. Sathiyamurthy, V. Vinoth
Measurement (2024) Vol. 235, pp. 114912-114912
Closed Access | Times Cited: 21
Optimized machine learning with hyperparameter tuning and response surface methodology for predicting tribological performance in bio‐composite materials
S. Saravanakumar, S. Sathiyamurthy, Vinoth Viswanathan, et al.
Polymer Composites (2024) Vol. 45, Iss. 10, pp. 9421-9439
Closed Access | Times Cited: 15
Influence of treatment and fly ash fillers on the mechanical and tribological properties of banana fiber epoxy composites: experimental and ANN-RSM modeling
S. Saravanakumar, S. Sathiyamurthy, G. Selvakumar, et al.
Composite Interfaces (2025), pp. 1-33
Closed Access | Times Cited: 3
Optimized Machine Learning Prediction and RSM Optimization of Mechanical Properties in Boiled Eggshell Filler-Added Biocomposites
Gopi Periyappillai, S. Sathiyamurthy, S. Saravanakumar
Fibers and Polymers (2024) Vol. 25, Iss. 8, pp. 3115-3133
Closed Access | Times Cited: 9
ADVANCED ENSEMBLE MACHINE LEARNING PREDICTION TO ENHANCE THE ACCURACY OF ABRASIVE WATERJET MACHINING FOR BIOCOMPOSITES
Gopi Periyappillai, S. Sathiyamurthy, S. Saravanakumar
Materials Chemistry and Physics (2024), pp. 130175-130175
Closed Access | Times Cited: 5
Optimization and Finite Element Analysis Simulation on Mechanical Behavior of Wire Arc Additive Manufacturing for SS316L Using Response Surface Methodology
Anantha R. Sethuraman, Vijayaragavan Elumalai, T. Lakshmanan, et al.
Journal of Materials Engineering and Performance (2025)
Closed Access
Machine Learning Prediction and Optimization of Cold Metal Transfer Welding Parameters for Enhancing the Mechanical and Microstructural Properties of Austenitic-Ferritic Stainless-Steel Joints
R. Ravikumar, A. Mathivanan
Journal of Materials Engineering and Performance (2025)
Closed Access
Assessment of mechanical, thermal, and sliding wear performance of chemically treated alumina‐filled biocomposites using machine learning and response surface methodology
V.S. Shaisundaram, S. Saravanakumar, Rajesh Mohan, et al.
Polymer Composites (2025)
Closed Access
Advanced ensemble machine learning and response surface methodology for optimizing and predicting tribological performance of CMT-WAAM fabricated Al5356 alloy
M.K. Nagarajan, Manikandan Arumugam
International Journal on Interactive Design and Manufacturing (IJIDeM) (2025)
Closed Access
Optimization of Friction Stir Processing Parameters to Improve Mechanical Properties and Microstructure of Al5083 Aluminum Alloy Reinforced with AlCoCrFeNiSi High-Entropy Alloy
S. Kumaravel, Suresh Perinpanayagam
Physica Scripta (2024) Vol. 99, Iss. 10, pp. 105903-105903
Closed Access | Times Cited: 3
Optimizing Cold Metal Transfer-Wire Arc Additive Manufacturing Parameters for Enhanced Mechanical Properties and Microstructure of ER5356 Aluminum Alloy Using Artificial Neural Network and Response Surface Methodology
N Manikandan, Manikandan Arumugam
Journal of Materials Engineering and Performance (2024)
Closed Access | Times Cited: 3
A novel normalized fatigue progressive damage model for complete stress levels based on artificial neural network
Jie Zhou, Zhen Wu, Zhengliang Liu, et al.
International Journal of Fatigue (2024) Vol. 187, pp. 108447-108447
Closed Access | Times Cited: 1
Mechanical characterization and study on morphological properties: Natural and agro waste utilization of reinforced polyester hybrid composites
V. Vinoth, S. Sathiyamurthy, N. Ananthi, et al.
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science (2024) Vol. 238, Iss. 19, pp. 9577-9588
Closed Access | Times Cited: 1
Evaluation of optimized surface characteristics in non-rotational sliding ball burnishing
Hossein Roohi, Hamid Baseri, Mohammad Javad Mirnia
Materials and Manufacturing Processes (2024), pp. 1-10
Closed Access | Times Cited: 1
Delamination and thrust force analysis in GLARE: Influence of tool geometry and prediction with machine learning models
Ergün Ekı̇cı̇, İbrahim Pazarkaya, Gültekin Uzun
Journal of Composite Materials (2024)
Closed Access
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