Citation Impact

Citing Papers

Perspectives on the Impact of Machine Learning, Deep Learning, and Artificial Intelligence on Materials, Processes, and Structures Engineering
2018
Additive manufacturing of materials: Opportunities and challenges
2015
The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets
2015 Standout
A Kernel-Based Two-Class Classifier for Imbalanced Data Sets
2007
Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study
2020 Standout
Effect of layered microstructure on the superplasticity of friction stir processed AZ91 magnesium alloy
2018
Crystal structures as periodic graphs: the topological genome and graph databases
2016 StandoutNobel
Perspective: Materials informatics and big data: Realization of the “fourth paradigm” of science in materials science
2016 Standout
Machining induced surface integrity in titanium and nickel alloys: A review
2010 Standout
Exploring four decades of research in Computers & Education
2018
Learning from Imbalanced Data
2009 Standout
High-temperature tensile behavior of AZ61 magnesium plate prepared by multi-pass friction stir processing
2019
Twenty-year uninterrupted endeavor of friction stir processing by focusing on copper and its alloys
2018
A model for the yield strength of overaged Al–Zn–Mg–Cu alloys
2003
Mathematical models in materials science
2008
Rotating machinery fault diagnosis based on convolutional neural network and infrared thermal imaging
2019
Roles of microstructure in fatigue crack initiation
2009 Standout
Artificial intelligence, machine learning and deep learning in advanced robotics, a review
2023 Standout
Environmentally conscious machining of difficult-to-machine materials with regard to cutting fluids
2012 Standout
PDFOS: PDF estimation based over-sampling for imbalanced two-class problems
2014
Recent advances in friction-stir welding – Process, weldment structure and properties
2008 Standout
Recent developments in advanced aircraft aluminium alloys
2013 Standout
The behavior of fatigue crack initiation and propagation in AA2524-T34 alloy
2010
Recent advances and applications of machine learning in solid-state materials science
2019 Standout
Fatigue crack growth behavior in gradient microstructure of hardened surface layer for an axle steel
2017
Learning from class-imbalanced data: Review of methods and applications
2016 Standout
A systematic review of immersive virtual reality applications for higher education: Design elements, lessons learned, and research agenda
2019 Standout
Overview: Additive Manufacturing Enabled Accelerated Design of Ni-based Alloys for Improved Fatigue Life
2019
Friction stir welding/processing of metals and alloys: A comprehensive review on microstructural evolution
2020 Standout
Construction of Neurofuzzy Models For Imbalanced Data Classification
2014
Modelling the optimum grain size on the low cycle fatigue life of a Ni based superalloy in the presence of two possible crack initiation sites
2003
SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary
2018 Standout
Principles of equal-channel angular pressing as a processing tool for grain refinement
2006 Standout
Material-structure-performance integrated laser-metal additive manufacturing
2021 StandoutScience
Materials Informatics: The Materials “Gene” and Big Data
2015
The metallurgy and processing science of metal additive manufacturing
2016 Standout
A model for the electrical conductivity of peak-aged and overaged Al-Zn-Mg-Cu alloys
2003
Surface integrity in material removal processes: Recent advances
2011 Standout
Mechanical properties and deformation mechanisms of gradient nanostructured metals and alloys
2020 Standout

Works of P.A.S. Reed being referenced

Neurofuzzy and SUPANOVA Modelling of Structure-Property Relationships in Al-Zn-Mg-Cu Alloys
2000
Predicting the Structural Performance of Heat-Treatable Al-Alloys
2000
Fatigue crack growth behaviour in the LCF regime in a shot peened steam turbine blade material
2015
An example of the use of neural computing techniques in materials science—the modelling of fatigue thresholds in Ni-base superalloys
1999
Classification of unbalanced data with transparent kernels
2002
Hypermedia systems for improving knowledge, understanding and skills in engineering degree courses
1998
Fatigue assessment of multilayer coatings using lock-in thermography
2018
Superplastic behaviour of AZ91 magnesium alloy processed by high-pressure torsion
2015
Data Pre-Processing/Model Initialisation in Neurofuzzy Modelling of Structure-Property Relationships in Al-Zn-Mg-Cu Alloys.
1999
Short crack initiation and growth at 600°C in notched specimens of Inconel718
2003
Fatigue crack path prediction in UDIMET 720 nickel-based alloy single crystals
2000
Strain accumulation and fatigue crack initiation at pores and carbides in a SX superalloy at room temperature
2018
Fatigue Behaviour in Fine Grained Aluminium Alloys
2006
Rankless by CCL
2026