Electronics | Highly Cited Papers in 2022 in the Section “Networks”

The “Networks” Section of Electronics (ISSN: 2079-9292) provides full coverage of all topics of interest involved in the networking area. The purpose of this Section is to bring together researchers, engineers, and students from academia and industry to present novel ideas and solid research about the theoretical and practical aspects in the application domains of computer communications and networks.

As they are of 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 2022 listed below:

1. “Deep Learning-Based Object Detection and Scene Perception under Bad Weather Conditions”
by Teena Sharma, Benoit Debaque, Nicolas Duclos, Abdellah Chehri, Bruno Kinder and Paul Fortier
Electronics 2022, 11(4), 563; https://doi.org/10.3390/electronics11040563
Full text available online: https://www.mdpi.com/2079-9292/11/4/563

2. “Cooperative SWIPT THz-NOMA/6G Performance Analysis”
by Haider W. Oleiwi and Hamed Al-Raweshidy
Electronics 2022, 11(6), 873; https://doi.org/10.3390/electronics11060873
Available online: https://www.mdpi.com/2079-9292/11/6/873

3. “A Novel Localization Algorithm Based on RSSI and Multilateration for Indoor Environments”
by Jinze Du, Chao Yuan, Min Yue and Tao Ma
Electronics 2022, 11(2), 289; https://doi.org/10.3390/electronics11020289
Available online: https://www.mdpi.com/2079-9292/11/2/289

4. “BiGRU-CNN Neural Network Applied to Electric Energy Theft Detection”
by Lucas Duarte Soares, Altamira de Souza Queiroz, Gloria P. López, Edgar M. Carreño-Franco, Jesús M. López-Lezama and Nicolás Muñoz-Galeano
Electronics 2022, 11(5), 693; https://doi.org/10.3390/electronics11050693
Full text available online: https://www.mdpi.com/2079-9292/11/5/693

5. “Overview of Prospects for Service-Aware Radio Access towards 6G Networks”
by Zixiao Zhao, Qinghe Du, Dawei Wang, Xiao Tang and Houbing Song
Electronics 2022, 11(8), 1262; https://doi.org/10.3390/electronics11081262
Full text available online: https://www.mdpi.com/2079-9292/11/8/1262

6. “Blockchain-Enabled: Multi-Layered Security Federated Learning Platform for Preserving Data Privacy”
by Zeba Mahmood and Vacius Jusas.
Electronics 2022, 11(10), 1624; https://doi.org/10.3390/electronics11101624
Full text available online: https://www.mdpi.com/2079-9292/11/10/1624

7. “Machine Learning for Radio Resource Management in Multibeam GEO Satellite Systems”
by Flor G. Ortiz-Gomez, Lei Lei, Eva Lagunas, Ramon Martinez, Daniele Tarchi, Jorge Querol, Miguel A. Salas-Natera and Symeon Chatzinotas
Electronics 2022, 11(7), 992; https://doi.org/10.3390/electronics11070992
Full text available online: https://www.mdpi.com/2079-9292/11/7/992

8. “An Approach to Combine the Power of Deep Reinforcement Learning with a Graph Neural Network for Routing Optimization”
by Bo Chen, Di Zhu, Yuwei Wang and Peng Zhang.
Electronics 2022, 11(3), 368; https://doi.org/10.3390/electronics11030368
Full text available online: https://www.mdpi.com/2079-9292/11/3/368

9. “A Perceptual Encryption-Based Image Communication System for Deep Learning-Based Tuberculosis Diagnosis Using Healthcare Cloud Services”
by Ijaz Ahmad and Seokjoo Shin
Electronics 2022, 11(16), 2514; https://doi.org/10.3390/electronics11162514
Full text available online: https://www.mdpi.com/2079-9292/11/16/2514

10. “Application of Improved Butterfly Optimization Algorithm Combined with Black Widow Optimization in Feature Selection of Network Intrusion Detection”
by Hui Xu, Yanping Lu and Qingqing Guo
Electronics 2022, 11(21), 3531; https://doi.org/10.3390/electronics11213531
Full text available online: https://www.mdpi.com/2079-9292/11/21/3531

11. “SAGMAD—A Signature Agnostic Malware Detection System Based on Binary Visualisation and Fuzzy Sets”
by Betty Saridou, Joseph Ryan Rose, Stavros Shiaeles and Basil Papadopoulos
Electronics 2022, 11(7), 1044; https://doi.org/10.3390/electronics11071044
Full text available online: https://www.mdpi.com/2079-9292/11/7/1044

12. “Federated AI-Enabled In-Vehicle Network Intrusion Detection for Internet of Vehicles”
by Jianfeng Yang, Jianling Hu and Tianqi Yu
Electronics 2022, 11(22), 3658; https://doi.org/10.3390/electronics11223658
Full text available online: https://www.mdpi.com/2079-9292/11/22/3658

13. “LSTM-Based IoT-Enabled CO₂ Steady-State Forecasting for Indoor Air Quality Monitoring”
by Yingbo Zhu, Shahriar Abdullah Al-Ahmed, Muhammad Zeeshan Shakir and Joanna Isabelle Olszewska
Electronics 2023, 12(1), 107; https://doi.org/10.3390/electronics12010107
Full text available online: https://www.mdpi.com/2079-9292/12/1/107