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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:

Pareto optimization of WEDM process parameters for machining a NiTi shape memory alloy using a combined approach of RSM and heat transfer search algorithm
Rakesh Chaudhari, Jay Vora, S.S. Mani Prabu, et al.
Advances in Manufacturing (2019) Vol. 9, Iss. 1, pp. 64-80
Closed Access | Times Cited: 79

Showing 1-25 of 79 citing articles:

Surface roughness prediction of machined aluminum alloy with wire electrical discharge machining by different machine learning algorithms
Mustafa Ulaş, Osman Aydur, Turan Gürgenç, et al.
Journal of Materials Research and Technology (2020) Vol. 9, Iss. 6, pp. 12512-12524
Open Access | Times Cited: 90
Surface Analysis of Wire-Electrical-Discharge-Machining-Processed Shape-Memory Alloys
Rakesh Chaudhari, Jay Vora, Vivek Patel, et al.
Materials (2020) Vol. 13, Iss. 3, pp. 530-530
Open Access | Times Cited: 88
Multi-response Optimization of WEDM Parameters Using an Integrated Approach of RSM–GRA Analysis for Pure Titanium
Rakesh Chaudhari, Jay Vora, Dilip M. Parikh, et al.
Journal of The Institution of Engineers (India) Series D (2020) Vol. 101, Iss. 1, pp. 117-126
Closed Access | Times Cited: 74
Effect of WEDM Process Parameters on Surface Morphology of Nitinol Shape Memory Alloy
Rakesh Chaudhari, Jay Vora, Vivek Patel, et al.
Materials (2020) Vol. 13, Iss. 21, pp. 4943-4943
Open Access | Times Cited: 72
Experimental investigations and optimization of MWCNTs-mixed WEDM process parameters of nitinol shape memory alloy
Rakesh Chaudhari, Sakshum Khanna, Jay Vora, et al.
Journal of Materials Research and Technology (2021) Vol. 15, pp. 2152-2169
Open Access | Times Cited: 62
A Review on Applications of Nitinol Shape Memory Alloy
Rakesh Chaudhari, Jay Vora, Dilip M. Parikh
Lecture notes in intelligent transportation and infrastructure (2021), pp. 123-132
Closed Access | Times Cited: 57
Machining parameter optimization and experimental investigations of nano-graphene mixed electrical discharge machining of nitinol shape memory alloy
Jay Vora, Sakshum Khanna, Rakesh Chaudhari, et al.
Journal of Materials Research and Technology (2022) Vol. 19, pp. 653-668
Open Access | Times Cited: 57
Experimental investigations and prediction of WEDMed surface of nitinol SMA using SinGAN and DenseNet deep learning model
Vinay Vakharia, Jay Vora, Sakshum Khanna, et al.
Journal of Materials Research and Technology (2022) Vol. 18, pp. 325-337
Open Access | Times Cited: 40
Post-Machining Characterization of novel Ni55.65Ti-SMA via Electric Discharge Machining route
Abdul Faheem, Faisal Hasan, Abid Ali Khan, et al.
Results in Engineering (2025), pp. 103917-103917
Open Access | Times Cited: 1
Integration of Fuzzy AHP and Fuzzy TOPSIS Methods for Wire Electric Discharge Machining of Titanium (Ti6Al4V) Alloy Using RSM
Kishan Fuse, Arrown Dalsaniya, Dhananj Modi, et al.
Materials (2021) Vol. 14, Iss. 23, pp. 7408-7408
Open Access | Times Cited: 55
Parametric Optimization and Effect of Nano-Graphene Mixed Dielectric Fluid on Performance of Wire Electrical Discharge Machining Process of Ni55.8Ti Shape Memory Alloy
Rakesh Chaudhari, Jay Vora, Luís Norberto López de Lacalle, et al.
Materials (2021) Vol. 14, Iss. 10, pp. 2533-2533
Open Access | Times Cited: 45
An experimental analysis on the influence of CO2 laser machining parameters on a copper-based shape memory alloy
S. Santosh, J. Kevin Thomas, M. Pavithran, et al.
Optics & Laser Technology (2022) Vol. 153, pp. 108210-108210
Closed Access | Times Cited: 32
Optimization of Bead Morphology for GMAW-Based Wire-Arc Additive Manufacturing of 2.25 Cr-1.0 Mo Steel Using Metal-Cored Wires
Jay Vora, Nipun Parikh, Rakesh Chaudhari, et al.
Applied Sciences (2022) Vol. 12, Iss. 10, pp. 5060-5060
Open Access | Times Cited: 29
Effect of pulse time (Ton), pause time (Toff), peak current (Ip) on MRR and surface roughness of Cu–Al–Mn ternary shape memory alloy using wire EDM
N. Praveen, N.G. Siddesh Kumar, C. Durga Prasad, et al.
Journal of Materials Research and Technology (2024) Vol. 30, pp. 1843-1851
Open Access | Times Cited: 7
Exploring sustainable machining processes for nitinol shape memory alloy: a review of eco-friendly EDM and other techniques
M. Muniraju, Gangadharudu Talla
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2024) Vol. 46, Iss. 2
Closed Access | Times Cited: 6
A review of shape memory alloys in MEMS devices and biomedical applications
Kedarnath Chaudhary, Vikrant K. Haribhakta, Pradeep V. Jadhav
Materials Today Proceedings (2024)
Closed Access | Times Cited: 6
Experimental Investigations and Pareto Optimization of Fiber Laser Cutting Process of Ti6Al4V
Jay Vora, Rakesh Chaudhari, Chintan Patel, et al.
Metals (2021) Vol. 11, Iss. 9, pp. 1461-1461
Open Access | Times Cited: 38
Multi-Response Optimization of Al2O3 Nanopowder-Mixed Wire Electrical Discharge Machining Process Parameters of Nitinol Shape Memory Alloy
Rakesh Chaudhari, Parth Prajapati, Sakshum Khanna, et al.
Materials (2022) Vol. 15, Iss. 6, pp. 2018-2018
Open Access | Times Cited: 28
Experimental Investigation and Optimization of WEDM Process Parameters for the Development of Ni-Based Hardfaced Turning Tool Insert Using Hybrid GA-CoCoSo Technique
V Kumar, Subhas Chandra Mondal
Journal of The Institution of Engineers (India) Series D (2024)
Closed Access | Times Cited: 5
A Review on Multi-objective Optimization Techniques of Wire Electrical Discharge Machining
Devendra Pendokhare, Shankar Chakraborty
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 5
Areas of recent developments for shape memory alloy: A review
Gautam Singh Rajput, Jay Vora, Parth Prajapati, et al.
Materials Today Proceedings (2022) Vol. 62, pp. 7194-7198
Closed Access | Times Cited: 22
Effect of multi-walled carbon nanotubes on the performance evaluation of nickel-based super-alloy–Udimet 720 machined using WEDM process
Rakesh Chaudhari, Ízaro Ayesta, Mikesh Doshi, et al.
The International Journal of Advanced Manufacturing Technology (2022) Vol. 123, Iss. 5-6, pp. 2087-2105
Open Access | Times Cited: 22
Measurement of performance characteristics of WEDM while processing AZ31 Mg-alloy using Levy flight MOGWO for orthopedic application
Kapil Kumar Goyal, Neeraj Sharma, Rahul Dev Gupta, et al.
The International Journal of Advanced Manufacturing Technology (2022) Vol. 119, Iss. 11-12, pp. 7175-7197
Closed Access | Times Cited: 21
Surface quality and morphology of NiTiCuZr shape memory alloy machined using thermal-energy processes: an examination of comparative topography
C. Balasubramaniyan, S. Santosh, K. Rajkumar
Surface Topography Metrology and Properties (2022) Vol. 10, Iss. 3, pp. 035019-035019
Closed Access | Times Cited: 21
Parametric optimization of electric discharge machining of Ni 55.65Ti based shape memory alloy using NSGA II with TOPSIS
Abdul Faheem, Faisal Hasan, Abid Ali Khan, et al.
Journal of Materials Research and Technology (2023) Vol. 26, pp. 1306-1324
Open Access | Times Cited: 11
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