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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:

Performance Analysis of IoT-Based Sensor, Big Data Processing, and Machine Learning Model for Real-Time Monitoring System in Automotive Manufacturing
Muhammad Syafrudin, Ganjar Alfian, Norma Latif Fitriyani, et al.
Sensors (2018) Vol. 18, Iss. 9, pp. 2946-2946
Open Access | Times Cited: 306

Showing 26-50 of 306 citing articles:

Big Data Analytics and Structural Health Monitoring: A Statistical Pattern Recognition-Based Approach
Alireza Entezami, Hassan Sarmadi, Behshid Behkamal, et al.
Sensors (2020) Vol. 20, Iss. 8, pp. 2328-2328
Open Access | Times Cited: 111
Machine Learning Algorithms for Smart Data Analysis in Internet of Things Environment: Taxonomies and Research Trends
Mohammed H. Alsharif, Anabi Hilary Kelechi, Khalid Yahya, et al.
Symmetry (2020) Vol. 12, Iss. 1, pp. 88-88
Open Access | Times Cited: 109
A survey on decision-making based on system reliability in the context of Industry 4.0
Marcos Leandro Hoffmann Souza, Cristiano André da Costa, Gabriel de Oliveira Ramos, et al.
Journal of Manufacturing Systems (2020) Vol. 56, pp. 133-156
Closed Access | Times Cited: 108
Improving Data Quality of Low-cost IoT Sensors in Environmental Monitoring Networks Using Data Fusion and Machine Learning Approach
Nwamaka U. Okafor, Yahia Alghorani, Declan Delaney
ICT Express (2020) Vol. 6, Iss. 3, pp. 220-228
Open Access | Times Cited: 104
Artificial intelligence of toilet (AI-Toilet) for an integrated health monitoring system (IHMS) using smart triboelectric pressure sensors and image sensor
Zixuan Zhang, Qiongfeng Shi, Tianyiyi He, et al.
Nano Energy (2021) Vol. 90, pp. 106517-106517
Closed Access | Times Cited: 97
Monitoring Soil and Ambient Parameters in the IoT Precision Agriculture Scenario: An Original Modeling Approach Dedicated to Low-Cost Soil Water Content Sensors
P. Placidi, Renato Morbidelli, Diego Fortunati, et al.
Sensors (2021) Vol. 21, Iss. 15, pp. 5110-5110
Open Access | Times Cited: 92
Application of Digital Twin in Smart Battery Management Systems
Wenwen Wang, Jun Wang, Jinpeng Tian, et al.
Chinese Journal of Mechanical Engineering (2021) Vol. 34, Iss. 1
Open Access | Times Cited: 89
Progress in micro/nano sensors and nanoenergy for future AIoT-based smart home applications
Ahmed Haroun, Xianhao Le, Shan Gao, et al.
Nano Express (2021) Vol. 2, Iss. 2, pp. 022005-022005
Open Access | Times Cited: 84
Machine learning applications for sustainable manufacturing: a bibliometric-based review for future research
Anbesh Jamwal, Rajeev Agrawal, Monica Sharma, et al.
Journal of Enterprise Information Management (2021) Vol. 35, Iss. 2, pp. 566-596
Open Access | Times Cited: 76
Manufacturing process monitoring using time-frequency representation and transfer learning of deep neural networks
Yabin Liao, Ihab Ragai, Ziyun Huang, et al.
Journal of Manufacturing Processes (2021) Vol. 68, pp. 231-248
Closed Access | Times Cited: 71
Deep learning for manufacturing sustainability: Models, applications in Industry 4.0 and implications
Anbesh Jamwal, Rajeev Agrawal, Monica Sharma
International Journal of Information Management Data Insights (2022) Vol. 2, Iss. 2, pp. 100107-100107
Open Access | Times Cited: 66
Digital twin for ship life-cycle: A critical systematic review
Francesco Mauro, Austin A. Kana
Ocean Engineering (2022) Vol. 269, pp. 113479-113479
Open Access | Times Cited: 65
Applications of Machine Learning in Process Monitoring and Controls of L-PBF Additive Manufacturing: A Review
Dalia Mahmoud, Marcin Magolon, Jan Boer, et al.
Applied Sciences (2021) Vol. 11, Iss. 24, pp. 11910-11910
Open Access | Times Cited: 59
How can artificial intelligence enhance car manufacturing? A Delphi study-based identification and assessment of general use cases
Quirin Demlehner, Daniel Schoemer, Sven Laumer
International Journal of Information Management (2021) Vol. 58, pp. 102317-102317
Closed Access | Times Cited: 57
MLOps: A Taxonomy and a Methodology
Matteo Testi, Matteo Ballabio, Emanuele Frontoni, et al.
IEEE Access (2022) Vol. 10, pp. 63606-63618
Open Access | Times Cited: 52
Next generation DES simulation: A research agenda for human centric manufacturing systems
Christopher Turner, Wolfgang Garn
Journal of Industrial Information Integration (2022) Vol. 28, pp. 100354-100354
Open Access | Times Cited: 43
Machine learning for fault analysis in rotating machinery: A comprehensive review
Oğuzhan Daş, Duygu Bağcı Daş, Derya Birant
Heliyon (2023) Vol. 9, Iss. 6, pp. e17584-e17584
Open Access | Times Cited: 29
Machine learning in additive manufacturing & Microfluidics for smarter and safer drug delivery systems
Aikaterini Dedeloudi, Edward Weaver, Dimitrios A. Lamprou
International Journal of Pharmaceutics (2023) Vol. 636, pp. 122818-122818
Open Access | Times Cited: 27
A critical review on applications of artificial intelligence in manufacturing
Omkar Mypati, Avishek Mukherjee, Debasish Mishra, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. S1, pp. 661-768
Closed Access | Times Cited: 26
INTEGRATING ADVANCED TECHNOLOGIES IN CORROSION AND INSPECTION MANAGEMENT FOR OIL AND GAS OPERATIONS
Patrick Oputa Odili, Cosmas Dominic Daudu, Adedayo Adefemi, et al.
Engineering Science & Technology Journal (2024) Vol. 5, Iss. 2, pp. 597-611
Open Access | Times Cited: 12
Review of advances in tool condition monitoring techniques in the milling process
T. Mohanraj, E S Kirubakaran, Dinesh Kumar Madheswaran, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 092002-092002
Closed Access | Times Cited: 10
Cyber-physical systems for performance monitoring in production intralogistics
Oliver Mörth, Christos Emmanouilidis, Noah Hafner, et al.
Computers & Industrial Engineering (2020) Vol. 142, pp. 106333-106333
Open Access | Times Cited: 63
Real-time monitoring and prediction of water quality parameters and algae concentrations using microbial potentiometric sensor signals and machine learning tools
Daniel Saboe, Hamidreza Ghasemi, Ming Ming Gao, et al.
The Science of The Total Environment (2020) Vol. 764, pp. 142876-142876
Open Access | Times Cited: 60
Sustainable Competitive Advantage Driven by Big Data Analytics and Innovation
Muawia Ramadan, Hana Shuqqo, Layalee Qtaishat, et al.
Applied Sciences (2020) Vol. 10, Iss. 19, pp. 6784-6784
Open Access | Times Cited: 59
A comprehensive and systematic literature review on the big data management techniques in the internet of things
Arezou Naghib, Nima Jafari Navimipour, Mehdi Hosseinzadeh, et al.
Wireless Networks (2022) Vol. 29, Iss. 3, pp. 1085-1144
Open Access | Times Cited: 34

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