Electronics | Highly Cited Papers in 2021 in the Section “Computer Science & Engineering”

The primary focus of the “Computer Science & Engineering” Section is the field of advanced computer science and engineering. It presents high-quality papers that address state-of-the-art technology, including deep tech, edge computing, fog computing, artificial intelligence, machine learning, deep learning, emotional systems, fintech, blockchain, the IoT, Industry 4.0, smart cities, smart grids, intelligent textiles, and distributed computing, as well as other chief technologies in this field.

As they are published in an open access format, you have free and unlimited access to the full text of all the articles published in our journal. We welcome you to read our most highly cited papers published in 2021:

1. “A Comparative Analysis of Object Detection Metrics with a Companion Open-Source Toolkit”
by Rafael Padilla et al.
Electronics 2021, 10(3), 279; https://doi.org/10.3390/electronics10030279
Available online: http://www.mdpi.com/2079-9292/10/3/279

2. “Identification of Plant-Leaf Diseases Using CNN and Transfer-Learning Approach”
by Sk Mahmudul Hassan et al.
Electronics 2021, 10(12), 1388; https://doi.org/10.3390/electronics10121388
Available online: http://www.mdpi.com/2079-9292/10/12/1388

3. “Evaluating the Quality of Machine Learning Explanations: A Survey on Methods and Metrics”
by Jianlong Zhou et al.
Electronics 2021, 10(5), 593; https://doi.org/10.3390/electronics10050593
Available online: http://www.mdpi.com/2079-9292/10/5/593

4. “Drone Deep Reinforcement Learning: A Review”
by Ahmad Taher Azar et al.
Electronics 2021, 10(9), 999; https://doi.org/10.3390/electronics10090999
Available online: http://www.mdpi.com/2079-9292/10/9/999

5. “A Review of Data-Driven Decision-Making Methods for Industry 4.0 Maintenance Applications”
by Alexandros Bousdekis et al.
Electronics 2021, 10(7), 828; https://doi.org/10.3390/electronics10070828
Available online: http://www.mdpi.com/2079-9292/10/7/828

6. “A Real-Time Detection Algorithm for Kiwifruit Defects Based on YOLOv5”
by Jia Yao et al.
Electronics 2021, 10(14), 1711; https://doi.org/10.3390/electronics10141711
Available online: http://www.mdpi.com/2079-9292/10/14/1711

7. “Hyperledger Healthchain: Patient-Centric IPFS-Based Storage of Health Records”
by Vinodhini Mani et al.
Electronics 2021, 10(23), 3003; https://doi.org/10.3390/electronics10233003
Available online: http://www.mdpi.com/2079-9292/10/23/3003

8. “Image-Based Malware Classification Using VGG19 Network and Spatial Convolutional Attention”
by Mazhar Javed Awan et al.
Electronics 2021, 10(19), 2444; https://doi.org/10.3390/electronics10192444
Available online: http://www.mdpi.com/2079-9292/10/19/2444

9. “A Consolidated Review of Path Planning and Optimization Techniques: Technical Perspectives and Future Directions”
by Faiza Gul et al.
Electronics 2021, 10(18), 2250; https://doi.org/10.3390/electronics10182250
Available online: http://www.mdpi.com/2079-9292/10/18/2250

10. “Advances in Meta-Heuristic Optimization Algorithms in Big Data Text Clustering”
by Laith Abualigah et al.
Electronics 2021, 10(2), 101; https://doi.org/10.3390/electronics10020101
Available online: http://www.mdpi.com/2079-9292/10/2/101

11. “Facial Emotion Recognition Using Transfer Learning in the Deep CNN”
by M. A. H. Akhand et al.
Electronics 2021, 10(9), 1036; https://doi.org/10.3390/electronics10091036
Available online: http://www.mdpi.com/2079-9292/10/9/1036

12. “Botnet Attack Detection Using Local Global Best Bat Algorithm for Industrial Internet of Things”
by Abdullah Alharbi et al.
Electronics 2021, 10(11), 1341; https://doi.org/10.3390/electronics10111341
Available online: http://www.mdpi.com/2079-9292/10/11/1341

13. “SDN-Enabled Hybrid DL-Driven Framework for the Detection of Emerging Cyber Threats in IoT”
by Danish Javeed et al.
Electronics 2021, 10(8), 918; https://doi.org/10.3390/electronics10080918
Available online: http://www.mdpi.com/2079-9292/10/8/918

14. “A Machine Learning Approach for Anomaly Detection in Industrial Control Systems Based on Measurement Data”
by Sohrab Mokhtari et al.
Electronics 2021, 10(4), 407; https://doi.org/10.3390/electronics10040407
Available online: http://www.mdpi.com/2079-9292/10/4/407

15. “Real-Time Face Mask Detection Method Based on YOLOv3”
by Xinbei Jiang et al.
Electronics 2021, 10(7), 837; https://doi.org/10.3390/electronics10070837
Available online: http://www.mdpi.com/2079-9292/10/7/837

16. “Smart Home Battery for the Multi-Objective Power Scheduling Problem in a Smart Home Using Grey Wolf Optimizer”
by Sharif Naser Makhadmeh et al.
Electronics 2021, 10(4), 447; https://doi.org/10.3390/electronics10040447
Available online: http://www.mdpi.com/2079-9292/10/4/447

17. “A Review on Speech Emotion Recognition Using Deep Learning and Attention Mechanism”
by Eva Lieskovská et al.
Electronics 2021, 10(10), 1163; https://doi.org/10.3390/electronics10101163
Available online: http://www.mdpi.com/2079-9292/10/10/1163

18. “Towards Secure Fog Computing: A Survey on Trust Management, Privacy, Authentication, Threats and Access Control”
by Abdullah Al-Noman Patwary et al.
Electronics 2021, 10(10), 1171; https://doi.org/10.3390/electronics10101171
Available online: http://www.mdpi.com/2079-9292/10/10/1171

19. “A Novel Approach for Network Intrusion Detection Using Multistage Deep Learning Image Recognition”
by Jevgenijus Toldinas et al.
Electronics 2021, 10(15), 1854; https://doi.org/10.3390/electronics10151854
Available online: http://www.mdpi.com/2079-9292/10/15/1854

20. “A Review of Plant Phenotypic Image Recognition Technology Based on Deep Learning”
by Jianbin Xiong et al.
Electronics 2021, 10(1), 81; https://doi.org/10.3390/electronics10010081
Available online: http://www.mdpi.com/2079-9292/10/1/81