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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:

Workpiece image-based tool wear classification in blanking processes using deep convolutional neural networks
Dirk Alexander Molitor, Christian Kubik, Ruben Helmut Hetfleisch, et al.
Production Engineering (2022) Vol. 16, Iss. 4, pp. 481-492
Open Access | Times Cited: 20

Showing 20 citing articles:

A novel approach of tool condition monitoring in sustainable machining of Ni alloy with transfer learning models
Nimel Sworna Ross, Paul T Sheeba, C. Sherin Shibi, et al.
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 2, pp. 757-775
Open Access | Times Cited: 67
In-process monitoring strategies and methods in metal forming: A selective review
Xu He, Torgeir Welo, Jun Ma
Journal of Manufacturing Processes (2025) Vol. 138, pp. 100-128
Open Access | Times Cited: 1
Approaches for Preventing Tool Wear in Sheet Metal Forming Processes
Tomasz Trzepieciński
Machines (2023) Vol. 11, Iss. 6, pp. 616-616
Open Access | Times Cited: 16
Durchblick in der Produktion
Felix Georgi, Robin Krämer, Peter Groche
Zeitschrift für wirtschaftlichen Fabrikbetrieb (2025) Vol. 120, Iss. s1, pp. 128-134
Closed Access
Explainable neural network for time series-based condition monitoring in sheet metal shearing
Marco Becker, Philipp Niemietz, Thomas Bergs
Journal of Intelligent Manufacturing (2025)
Open Access
A review of methods and effects for improving production robustness in industrial micro-deep drawing
Úlfar Arinbjarnar, Philipp Schumann, Jonas Moske, et al.
International Journal of Material Forming (2024) Vol. 17, Iss. 3
Closed Access | Times Cited: 3
Study on the explainability of deep learning models for time series analysis in sheet metal forming
Marco Becker, Philipp Niemietz, Thomas Bergs
Procedia CIRP (2024) Vol. 126, pp. 727-732
Open Access | Times Cited: 3
Towards high-performance deep learning models in tool wear classification with generative adversarial networks
Dirk Alexander Molitor, Christian Kubik, Marco Becker, et al.
Journal of Materials Processing Technology (2021) Vol. 302, pp. 117484-117484
Closed Access | Times Cited: 18
Image-based feature extraction for inline quality assurance and wear classification in high-speed blanking processes
Christian Kubik, Dirk Alexander Molitor, Sven Varchmin, et al.
The International Journal of Advanced Manufacturing Technology (2023) Vol. 129, Iss. 11-12, pp. 4883-4897
Open Access | Times Cited: 5
Tool wear segmentation in blanking processes with fully convolutional networks based digital image processing
Clemens Schlegel, Dirk Alexander Molitor, Christian Kubik, et al.
Journal of Materials Processing Technology (2023) Vol. 324, pp. 118270-118270
Open Access | Times Cited: 5
Towards a real-time tool state detection in sheet metal forming processes validated by wear classification during blanking
Christian Kubik, Dirk-Alexander Molitor, Marcel Rojahn, et al.
IOP Conference Series Materials Science and Engineering (2022) Vol. 1238, Iss. 1, pp. 012067-012067
Open Access | Times Cited: 8
Deep learning-based domain adaptation for a generalized detection of wear phenomena during blanking
Christian Kubik, Dirk Alexander Molitor, Marvin Rojahn, et al.
Manufacturing Letters (2023) Vol. 35, pp. 904-914
Open Access | Times Cited: 3
Numerical Modelling and Simulation of the Shear-Slitting Process of Electrical Steels
Ł. Bohdal, A. Kułakowska, Marcin Kułakowski
Acta Mechanica et Automatica (2024) Vol. 18, Iss. 2, pp. 341-351
Open Access
Experiment and numerical simulation on the accuracy of hole pieced in the double-sheet piercing application
Pongsakorn Leetrakul, Komgrit Lawanwong
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2023) Vol. 45, Iss. 4
Closed Access | Times Cited: 1
Detection of Defective Deep Drawn Sheet Metal Parts by Using Machine Learning Methods for Image Classification
Papdo Tchasse, Adrian Schenek, Kim Rouven Riedmüller, et al.
Lecture notes in production engineering (2023), pp. 84-93
Closed Access | Times Cited: 1
An Investigation of Punch Radius and Clearance Effects on the Sheet Metal Blanking Process
Onur Çavuşoğlu
International Journal of Automotive Science And Technology (2022) Vol. 6, Iss. 4, pp. 309-316
Open Access | Times Cited: 2
Deep Learning Based on Ensemble to Diagnose of Retinal Disease using Optical Coherence Tomography
Kuntha Pin, Yunyoung Nam, Sangho Ha, et al.
2021 International Conference on Computational Science and Computational Intelligence (CSCI) (2021), pp. 661-664
Closed Access | Times Cited: 2
Experimental Research on Sheared Edge Formation in the Shear-Slitting of Grain-Oriented Electrical Steel Workpieces
Ł. Bohdal, A. Kułakowska, R. Patyk, et al.
Materials (2022) Vol. 15, Iss. 24, pp. 8824-8824
Open Access | Times Cited: 1
Image based feature extraction for inline quality assurance and wear classification in high speed blanking processes
Christian Kubik, Dirk Alexander Molitor, Sven Varchmin, et al.
Research Square (Research Square) (2023)
Open Access
Detection of Workpiece End Defects Based on Convolution Neural Network
Hua Sun, Denghong Xia, Yifan Yang, et al.
(2022), pp. 32-36
Closed Access
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