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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:

Predictive model-based quality inspection using Machine Learning and Edge Cloud Computing
Jacqueline Schmitt, Jochen Bönig, Thorbjörn Borggräfe, et al.
Advanced Engineering Informatics (2020) Vol. 45, pp. 101101-101101
Open Access | Times Cited: 150

Showing 26-50 of 150 citing articles:

Rediscovering scientific management. The evolution from industrial engineering to industrial data science
Jochen Deuse, Nikolai West, Marius Syberg
International journal of production management and engineering (2022) Vol. 10, Iss. 1, pp. 1-12
Open Access | Times Cited: 17
Intention recognition-based human–machine interaction for mixed flow assembly
Jieyang Peng, Andreas Kimmig, Dongkun Wang, et al.
Journal of Manufacturing Systems (2023) Vol. 72, pp. 229-244
Closed Access | Times Cited: 10
Data-driven learning-based Model Predictive Control for energy-intensive systems
Jiawei Chen, Gangyan Xu, Ziye Zhou
Advanced Engineering Informatics (2023) Vol. 58, pp. 102208-102208
Closed Access | Times Cited: 9
A Novel Hybrid YOLO Approach for Precise Paper Defect Detection With a Dual-Layer Template and an Attention Mechanism
Xuanfeng Li, Haibo Yan, Kai Cui, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 7, pp. 11651-11669
Closed Access | Times Cited: 3
Predicting human trust in human-robot collaborations using machine learning and psychophysiological responses
Hardik Chauhan, Youjin Jang, Inbae Jeong
Advanced Engineering Informatics (2024) Vol. 62, pp. 102720-102720
Closed Access | Times Cited: 3
Machine Learning Applications in Manufacturing - Challenges, Trends, and Future Directions
Alexandre Manta-Costa, Sara Oleiro Araújo, Ricardo Silva Peres, et al.
IEEE Open Journal of the Industrial Electronics Society (2024) Vol. 5, pp. 1085-1103
Open Access | Times Cited: 3
Edge-Cloud Synergy for AI-Enhanced Sensor Network Data: A Real-Time Predictive Maintenance Framework
Kaushik Sathupadi, Sandesh Achar, Shyam Bhaskaran, et al.
Sensors (2024) Vol. 24, Iss. 24, pp. 7918-7918
Open Access | Times Cited: 3
Virtual Quality Gates in Manufacturing Systems: Framework, Implementation and Potential
Marc-André Filz, Sebastian Gellrich, Artem Turetskyy, et al.
Journal of Manufacturing and Materials Processing (2020) Vol. 4, Iss. 4, pp. 106-106
Open Access | Times Cited: 24
Multi-Layer Quality Inspection System Framework for Industry 4.0
Victor Azamfirei, Anna Granlund, Yvonne Lagrosen
International Journal of Automation Technology (2021) Vol. 15, Iss. 5, pp. 641-650
Open Access | Times Cited: 22
Geometric-thermal error control system for gear profile grinding machine
Jialan Liu, Chi Ma, Hongquan Gui, et al.
Advanced Engineering Informatics (2022) Vol. 52, pp. 101618-101618
Closed Access | Times Cited: 14
Explainable Predictive Quality Inspection using Deep Learning in Electronics Manufacturing
Amal Saadallah, Jan Büscher, Omar Abdulaaty, et al.
Procedia CIRP (2022) Vol. 107, pp. 594-599
Open Access | Times Cited: 14
Active learning and novel model calibration measurements for automated visual inspection in manufacturing
Jože M. Rožanec, Luka Bizjak, Elena Trajkova, et al.
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 5, pp. 1963-1984
Open Access | Times Cited: 8
Adaptive multi-mode switching strategy for the spherical underwater robot with hybrid thrusters
Chunying Li, Shuxiang Guo
Advanced Engineering Informatics (2022) Vol. 55, pp. 101845-101845
Closed Access | Times Cited: 13
Smart manufacturing applications for inspection and quality assurance processes
Maremys Galindo-Salcedo, Altagracia Pertúz-Moreno, Stefania Guzmán-Castillo, et al.
Procedia Computer Science (2022) Vol. 198, pp. 536-541
Open Access | Times Cited: 12
Model-based investigation of water adsorption in Achira (Canna edulis K.) biscuits
Gentil A. Collazos-Escobar, Nelson Gutiérrez-Guzmán, Henry A. Váquiro, et al.
LWT (2023) Vol. 189, pp. 115472-115472
Open Access | Times Cited: 7
Integration of Cloud, IoT, and AI for Smart Services
Aradhana Behura, Amrita Singh, Sankalp Nayak
Practice, progress, and proficiency in sustainability (2024), pp. 162-182
Closed Access | Times Cited: 2
Uncertainty Quantification of Data-driven Quality Prediction Model For Realizing the Active Sampling Inspection of Mechanical Properties in Steel Production
Song Yong, Feifei Li, Zheng Wang, et al.
International Journal of Computational Intelligence Systems (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 2
Development of a generalised dual sampling system with a flexible decision-rule-transformation mechanism
To‐Cheng Wang, Chien‐Wei Wu
Advanced Engineering Informatics (2024) Vol. 62, pp. 102588-102588
Closed Access | Times Cited: 2
An Efficient Task Scheduling Algorithm in the Cloud and Edge Collaborative Environment
Saiqin Long, Cong Wang, Weifan Long, et al.
Chinese Journal of Electronics (2024) Vol. 33, Iss. 5, pp. 1296-1307
Closed Access | Times Cited: 2
Research on recommendation and interaction strategies based on resource similarity in the manufacturing ecosystem
Jiming Li, Yingfeng Zhang, Cheng Qian, et al.
Advanced Engineering Informatics (2020) Vol. 46, pp. 101183-101183
Closed Access | Times Cited: 20
The Study of Artificial Intelligent in Risk-Based Inspection Assessment and Screening: A Study Case of Inline Inspection
Taufik Aditiyawarman, Johny Wahyuadi Soedarsono, Agus Paul Setiawan Kaban, et al.
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B Mechanical Engineering (2022) Vol. 9, Iss. 1
Closed Access | Times Cited: 11
Guideline for Deployment of Machine Learning Models for Predictive Quality in Production
Henrik Heymann, Alexander D. Kies, Maik Frye, et al.
Procedia CIRP (2022) Vol. 107, pp. 815-820
Open Access | Times Cited: 11
Product Inspection Methodology via Deep Learning: An Overview
Tae-Hyun Kim, Hye-Rin Kim, Yeong-Jun Cho
Sensors (2021) Vol. 21, Iss. 15, pp. 5039-5039
Open Access | Times Cited: 15
A Survey on Machine Learning based Smart Maintenance and Quality Control Solutions
Attila Frankó, Pál Varga
Híradástechnika/Infocommunications journal (2021) Vol. 13, Iss. 4, pp. 28-35
Open Access | Times Cited: 14
Spatial model of Dengue Hemorrhagic Fever (DHF) risk: scoping review
Ririn Pakaya, D. Daniel, Prima Widayani, et al.
BMC Public Health (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 5

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