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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:

Continual learning of neural networks for quality prediction in production using memory aware synapses and weight transfer
Hasan Tercan, Philipp Deibert, Tobias Meisen
Journal of Intelligent Manufacturing (2021) Vol. 33, Iss. 1, pp. 283-292
Open Access | Times Cited: 52

Showing 1-25 of 52 citing articles:

Machine learning and deep learning based predictive quality in manufacturing: a systematic review
Hasan Tercan, Tobias Meisen
Journal of Intelligent Manufacturing (2022) Vol. 33, Iss. 7, pp. 1879-1905
Open Access | Times Cited: 175
On Paradigm of Industrial Big Data Analytics: From Evolution to Revolution
Zeyu Yang, Zhiqiang Ge
IEEE Transactions on Industrial Informatics (2022) Vol. 18, Iss. 12, pp. 8373-8388
Closed Access | Times Cited: 64
Adaptive reconstruction of digital twins for machining systems: A transfer learning approach
Shimin Liu, Yuqian Lu, Pai Zheng, et al.
Robotics and Computer-Integrated Manufacturing (2022) Vol. 78, pp. 102390-102390
Closed Access | Times Cited: 58
Continual learning for predictive maintenance: Overview and challenges
Julio Hurtado, Dario Salvati, Rudy Semola, et al.
Intelligent Systems with Applications (2023) Vol. 19, pp. 200251-200251
Open Access | Times Cited: 34
Prognostics and health management for predictive maintenance: A review
Chao Huang, Siqi Bu, Hiu Hung Lee, et al.
Journal of Manufacturing Systems (2024) Vol. 75, pp. 78-101
Closed Access | Times Cited: 12
Cognitive intelligence in industrial robots and manufacturing
Avishek Mukherjee, A Divya, M. Sivvani, et al.
Computers & Industrial Engineering (2024) Vol. 191, pp. 110106-110106
Closed Access | Times Cited: 10
Continual learning for energy management systems: A review of methods and applications, and a case study
Aya Nabil Sayed, Yassine Himeur, Iraklis Varlamis, et al.
Applied Energy (2025) Vol. 384, pp. 125458-125458
Open Access | Times Cited: 1
Continual Deep Learning for Time Series Modeling
Sio-Iong Ao, Haytham M. Fayek
Sensors (2023) Vol. 23, Iss. 16, pp. 7167-7167
Open Access | Times Cited: 19
Federated transfer learning for auxiliary classifier generative adversarial networks: framework and industrial application
Wei Guo, Yijin Wang, Xin Chen, et al.
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 4, pp. 1439-1454
Open Access | Times Cited: 17
Explainable artificial intelligence and multi-stage transfer learning for injection molding quality prediction
Chung‐Yin Lin, Jinsu Gim, Demitri Shotwell, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 6
Resilient digital twin modeling: A transferable approach
Jiqun Song, Shimin Liu, Tenglong Ma, et al.
Advanced Engineering Informatics (2023) Vol. 58, pp. 102148-102148
Closed Access | Times Cited: 15
A continual learning approach for failure prediction under non-stationary conditions: Application to condition monitoring data streams
Mohamed Amin Benatia, Meriem Hafsi, Safa Ben Ayed
Computers & Industrial Engineering (2025), pp. 111049-111049
Closed Access
The role of lifelong machine learning in bridging the gap between human and machine learning: A scientometric analysis
Muhammad Abulaish, Nesar Ahmad Wasi, Shachi Sharma
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2024) Vol. 14, Iss. 2
Closed Access | Times Cited: 4
Knowledge distillation-based information sharing for online process monitoring in decentralized manufacturing system
Zhangyue Shi, Yuxuan Li, Chenang Liu
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 4
Industrial Wireless Internet Zero Trust Model: Zero Trust Meets Dynamic Federated Learning with Blockchain
Haoran Xie, Yujue Wang, Yong Ding, et al.
IEEE Wireless Communications (2024) Vol. 31, Iss. 2, pp. 22-29
Closed Access | Times Cited: 4
Towards real-time adaptive prediction of rotary kiln processes: An enhanced framework combining parallel temporal convolution and long short-term memory networks
Xiaoming Wang, Xiaojun Liang, Chaobo Zhang, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 109993-109993
Closed Access
A Data-driven Digital Twin of CNC Machining Processes for Predicting Surface Roughness
V.S. Vishnu, Kiran George Varghese, B. Gurumoorthy
Procedia CIRP (2021) Vol. 104, pp. 1065-1070
Open Access | Times Cited: 25
A Hybrid Transfer Learning to Continual Learning Strategy for Improving Cross-building Energy Prediction in Data Increment Scenario
Jiahui Deng, Guannan Li, Yubei Wu, et al.
Journal of Building Engineering (2024) Vol. 95, pp. 110093-110093
Closed Access | Times Cited: 3
Production quality prediction of cross-specification products using dynamic deep transfer learning network
Pei Wang, Tao Wang, Sheng Yang, et al.
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 6, pp. 2567-2592
Closed Access | Times Cited: 8
Continual learning for surface defect segmentation by subnetwork creation and selection
Aleksandr Dekhovich, Miguel A. Bessa
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 2
PackMASNet: An information integration approach for quality inspection in industry 5.0
Garima Nain, K. K. Pattanaik, Gopal Krishan Sharma, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124582-124582
Closed Access | Times Cited: 2
Insights and Example Use Cases on Industrial Transfer Learning
Benjamin Maschler, Hannes Vietz, Hasan Tercan, et al.
Procedia CIRP (2022) Vol. 107, pp. 511-516
Open Access | Times Cited: 12
Replay-Driven Continual Learning for the Industrial Internet of Things
Sagar Sen, Simon Myklebust Nielsen, Erik Johannes Husom, et al.
(2023), pp. 43-55
Open Access | Times Cited: 5
Towards a Deep Learning-based Online Quality Prediction System for Welding Processes
Yannik Hahn, Robert Maack, Guido Buchholz, et al.
Procedia CIRP (2023) Vol. 120, pp. 1047-1052
Open Access | Times Cited: 5
Mixed-Up Experience Replay for Adaptive Online Condition Monitoring
Matthew Russell, Peng Wang, Shaopeng Liu, et al.
IEEE Transactions on Industrial Electronics (2023) Vol. 71, Iss. 2, pp. 1979-1986
Closed Access | Times Cited: 4
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