Applied Sciences | Top 20 Cited Papers in 2021 in the Section “Applied Industrial Technologies”
1. “Digital Processing of Seismic Data from Open-Pit Mining Blasts”
by Natalia Koteleva and Ilia Frenkel
Appl. Sci. 2021, 11(1), 383; https://doi.org/10.3390/app11010383
Available online: https://www.mdpi.com/2076-3417/11/1/383
2. “A Review of the Water Desalination Technologies”
by Domenico Curto, Vincenzo Franzitta and Andrea Guercio
Appl. Sci. 2021, 11(2), 670; https://doi.org/10.3390/app11020670
Available online: https://www.mdpi.com/2076-3417/11/2/670
3. “Towards Integrated Digital Twins for Industrial Products: Case Study on an Overhead Crane”
by Juuso Autiosalo, Riku Ala-Laurinaho, Joel Mattila, Miika Valtonen, Valtteri Peltoranta and Kari Tammi
Appl. Sci. 2021, 11(2), 683; https://doi.org/10.3390/app11020683
Available online: https://www.mdpi.com/2076-3417/11/2/683
4. “Classification and Quantification of Human Error in Manufacturing: A Case Study in Complex Manual Assembly”
by Yaniel Torres, Sylvie Nadeau and Kurt Landau
Appl. Sci. 2021, 11(2), 749; https://doi.org/10.3390/app11020749
Available online: https://www.mdpi.com/2076-3417/11/2/749
5. “Developing a Digital Twin and Digital Thread Framework for an ‘Industry 4.0’ Shipyard”
by Toh Yen Pang, Juan D. Pelaez Restrepo, Chi-Tsun Cheng, Alim Yasin,Hailey Lim and Miro Miletic
Appl. Sci. 2021, 11(3), 1097; https://doi.org/10.3390/app11031097
Available online: https://www.mdpi.com/2076-3417/11/3/1097
6. “Lot-Sizing and Scheduling for the Plastic Injection Molding Industry—A Hybrid Optimization Approach”
by Nathalie Klement, Mohamed Amine Abdeljaouad, Leonardo Porto and Cristóvão Silva
Appl. Sci. 2021, 11(3), 1202; https://doi.org/10.3390/app11031202
Available online: https://www.mdpi.com/2076-3417/11/3/1202
7. “A Review of Experimental and Numerical Studies of Lithium Ion Battery Fires”
by Matt Ghiji, Shane Edmonds and Khalid Moinuddin
Appl. Sci. 2021, 11(3), 1247; https://doi.org/10.3390/app11031247
Available online: https://www.mdpi.com/2076-3417/11/3/1247
8. “Nano-Elicitation as an Effective and Emerging Strategy for In Vitro Production of Industrially Important Flavonoids”
by Amna Komal Khan, Sidra Kousar, Duangjai Tungmunnithum, Christophe Hano, Bilal Haider Abbasi and Sumaira Anjum
Appl. Sci. 2021, 11(4), 1694; https://doi.org/10.3390/app11041694
Available online: https://www.mdpi.com/2076-3417/11/4/1694
9. “A Systematic Mapping of the Advancing Use of Machine Learning Techniques for Predictive Maintenance in the Manufacturing Sector”
by Milena Nacchia, Fabio Fruggiero, Alfredo Lambiase and Ken Bruton
Appl. Sci. 2021, 11(6), 2546; https://doi.org/10.3390/app11062546
Available online: https://www.mdpi.com/2076-3417/11/6/2546
10. “An Improved VGG19 Transfer Learning Strip Steel Surface Defect Recognition Deep Neural Network Based on Few Samples and Imbalanced Datasets”
by Xiang Wan, Xiangyu Zhang and Lilan Liu
Appl. Sci. 2021, 11(6), 2606; https://doi.org/10.3390/app11062606
Available online: https://www.mdpi.com/2076-3417/11/6/2606
11. “Is Digital Twin Technology Supporting Safety Management? A Bibliometric and Systematic Review”
by Giulio Paolo Agnusdei, Valerio Elia and Maria Grazia Gnoni
Appl. Sci. 2021, 11(6), 2767; https://doi.org/10.3390/app11062767
Available online: https://www.mdpi.com/2076-3417/11/6/2767
12. “Adaptive Pitch Controller of a Large-Scale Wind Turbine Using Multi-Objective Optimization”
by Manuel Lara, Juan Garrido, Mario L. Ruz and Francisco Vázquez
Appl. Sci. 2021, 11(6), 2844; https://doi.org/10.3390/app11062844
Available online: https://www.mdpi.com/2076-3417/11/6/2844
13. “Security Vulnerabilities in LPWANs—An Attack Vector Analysis for the IoT Ecosystem”
by Nuno Torres, Pedro Pinto and Sérgio Ivan Lopes
Appl. Sci. 2021, 11(7), 3176; https://doi.org/10.3390/app11073176
Available online: https://www.mdpi.com/2076-3417/11/7/3176
14. “The Role of Digital Technologies in Operationalizing the Circular Economy Transition: A Systematic Literature Review”
by Enrico Cagno, Alessandra Neri, Marta Negri, Carlo Andrea Bassani and Tommaso Lampertico
Appl. Sci. 2021, 11(8), 3328; https://doi.org/10.3390/app11083328
Available online: https://www.mdpi.com/2076-3417/11/8/3328
15. “Recent Progress Trend on Abrasive Waterjet Cutting of Metallic Materials: A Review”
by Jennifer Milaor Llanto, Majid Tolouei-Rad, Ana Vafadar and Muhammad Aamir
Appl. Sci. 2021, 11(8), 3344; https://doi.org/10.3390/app11083344
Available online: https://www.mdpi.com/2076-3417/11/8/3344
16. “Smart Manufacturing Real-Time Analysis Based on Blockchain and Machine Learning Approaches”
by Zeinab Shahbazi and Yung-Cheol Byun
Appl. Sci. 2021, 11(8), 3535; https://doi.org/10.3390/app11083535
Available online: https://www.mdpi.com/2076-3417/11/8/3535
17. “Mobile Learning Technologies for Education: Benefits and Pending Issues”
by Santiago Criollo-C, Andrea Guerrero-Arias, Ángel Jaramillo-Alcázar and Sergio Luján-Mora
Appl. Sci. 2021, 11(9), 4111; https://doi.org/10.3390/app11094111
Available online: https://www.mdpi.com/2076-3417/11/9/4111
18. “Applications of Smart Glasses in Applied Sciences: A Systematic Review”
by Dawon Kim and Yosoon Choi
Appl. Sci. 2021, 11(11), 4956; https://doi.org/10.3390/app11114956
Available online: https://www.mdpi.com/2076-3417/11/11/4956
19. “A Literature Review of Energy Efficiency and Sustainability in Manufacturing Systems”
by Paolo Renna and Sergio Materi
Appl. Sci. 2021, 11(16), 7366; https://doi.org/10.3390/app11167366
Available online: https://www.mdpi.com/2076-3417/11/16/7366
20. “Adaptable and Explainable Predictive Maintenance: Semi-Supervised Deep Learning for Anomaly Detection and Diagnosis in Press Machine Data”
by Oscar Serradilla, Ekhi Zugasti, Julian Ramirez de Okariz, Jon Rodriguez and Urko Zurutuza
Appl. Sci. 2021, 11(16), 7376; https://doi.org/10.3390/app11167376
Available online: https://www.mdpi.com/2076-3417/11/16/7376