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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:

Stamping Monitoring by Using an Adaptive 1D Convolutional Neural Network
Chih-Yung Huang, Zaky Dzulfikri
Sensors (2021) Vol. 21, Iss. 1, pp. 262-262
Open Access | Times Cited: 18

Showing 18 citing articles:

Identifying productivity-limiting factors in progressive die stamping: data-driven methodology for process optimization
Dirk Alexander Molitor, Andre Kokozinski, Christian Kubik, et al.
Production Engineering (2025)
Open Access | Times Cited: 1
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
Multi-objective optimization of process parameters in stamping based on an improved RBM–BPNN network and MOPSO algorithm
Yanmin Xie, Lingfeng Du, Jiangbo Zhao, et al.
Structural and Multidisciplinary Optimization (2021) Vol. 64, Iss. 6, pp. 4209-4235
Closed Access | Times Cited: 30
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
Tool path planning of consecutive free-form sheet metal stamping with deep learning
Shiming Liu, Yifan Xia, Yuehan Liu, et al.
Journal of Materials Processing Technology (2022) Vol. 303, pp. 117530-117530
Open Access | Times Cited: 19
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
Creation of Publicly Available Data Sets for Prognostics and Diagnostics Addressing Data Scenarios Relevant to Industrial Applications
Fabian Mauthe, Simon Hagmeyer, Peter Zeiler
International Journal of Prognostics and Health Management (2021) Vol. 12, Iss. 2
Open Access | Times Cited: 18
Knowledge Discovery in Engineering Applications Using Machine Learning Techniques
Christian Kubik, Dirk Alexander Molitor, Marco Becker, et al.
Journal of Manufacturing Science and Engineering (2022) Vol. 144, Iss. 9
Closed Access | Times Cited: 13
Artificial intelligence and its relevance in mechanical engineering from Industry 4.0 perspective
Prashant K. Ambadekar, Sarita Ambadekar, Chandrashekhar Choudhari, et al.
Australian Journal of Mechanical Engineering (2023), pp. 1-21
Closed Access | Times Cited: 7
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
Radar Signal Classification with Multi-Frequency Multi-Scale Deformable Convolutional Networks and Attention Mechanisms
Ruofei Liang, Yigang Cen
Remote Sensing (2024) Vol. 16, Iss. 8, pp. 1431-1431
Open Access | Times Cited: 1
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
Stamping Tool Conditions Diagnosis: A Deep Metric Learning Approach
Zaky Dzulfikri, Pin-Wei Su, Chih-Yung Huang
Applied Sciences (2021) Vol. 11, Iss. 15, pp. 6959-6959
Open Access | Times Cited: 5
Control System for Automated Technological Process of Hot Stamping—A Case Study
Ireneusz Wróbel, Piotr Danielczyk
Materials (2023) Vol. 16, Iss. 10, pp. 3658-3658
Open Access
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
Simulation-Based Data Augmentation for an Inline Wear State Detection During Blanking
Christian Kubik, Daniel M. Martin, Fabian Eberz, et al.
Lecture notes in mechanical engineering (2023), pp. 23-35
Closed Access
Was Bauteile über den Verschleiß genutzter Stanzwerkzeuge verraten
Dirk Alexander Molitor, Christian Kubik, Ruben Helmut Hetfleisch, et al.
Zeitschrift für wirtschaftlichen Fabrikbetrieb (2021) Vol. 116, Iss. 12, pp. 903-907
Closed Access
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