Electronics | Highly Cited Papers in 2021 in the Section “Electrical and Autonomous Vehicles”
This Section “Electrical and Autonomous Vehicles” addresses the different perspectives of design, development, and usage of electric and autonomous vehicles, as well as their impact on people’s lives, on cities, and on power and energy systems. We welcome papers on innovative scientific and technical developments, sound case studies, and reviews that are relevant and/or related to the Section “Electrical and Autonomous Vehicles”.
As they are of open access format, you have free and unlimited access to the full text of all of the articles published in our journal. We welcome you to read our most highly cited papers published in 2021 below.
1. “Review of Electric Vehicle Technologies, Charging Methods, Standards and Optimization Techniques”
by Syed Muhammad Arif, Tek Tjing Lie, Boon Chong Seet, Soumia Ayyadi and Kristian Jensen
Electronics 2021, 10(16), 1910; https://doi.org/10.3390/electronics10161910
Available online: https://www.mdpi.com/2079-9292/10/16/1910
2. “A Simulated Annealing Algorithm and Grid Map-Based UAV Coverage Path Planning Method for 3D Reconstruction”
by Sichen Xiao Azar, Xiaojun Tan and Jinping Wang
Electronics 2021, 10(7), 853; https://doi.org/10.3390/electronics10070853
Available online: https://www.mdpi.com/2079-9292/10/7/853
3. “A Survey of Trust Management in the Internet of Vehicles”
by Sarah Ali Siddiqui, Adnan Mahmood, Quan Z. Sheng, Hajime Suzuki and Wei Ni
Electronics 2021, 10(18), 2223; https://doi.org/10.3390/electronics10182223
Available online: http://www.mdpi.com/2079-9292/10/18/2223
4. “Machine-Learning-Enabled Intrusion Detection System for Cellular Connected UAV Networks”
by Rakesh Shrestha, Atefeh Omidkar, Sajjad Ahmadi Roudi, Robert Abbas and Shiho Kim
Electronics 2021, 10(13), 1549; https://doi.org/10.3390/electronics10131549
Available online: https://www.mdpi.com/2079-9292/10/13/1549
5. “Is There a Predisposition towards the Use of New Technologies within the Traffic Field of Emerging Countries? The Case of the Dominican Republic”
by Francisco Alonso, Mireia Faus, Cristina Esteban and Sergio A. Useche
Electronics 2021, 10(10), 1208; https://doi.org/10.3390/electronics10101208
Available online: http://www.mdpi.com/2079-9292/10/10/1208
6. “An Enhanced Multicell-to-Multicell Battery Equalizer Based on Bipolar-Resonant LC Converter”
by Xuan Luo, Longyun Kang, Chusheng Lu, Jinqing Linghu, Hongye Lin and Bihua Hu
Electronics 2021, 10(3), 293; https://doi.org/10.3390/electronics10030293
Available online: http://www.mdpi.com/2079-9292/10/3/293
7. “A Survey on Deep Learning Based Approaches for Scene Understanding in Autonomous Driving”
by Zhiyang Guo, Yingping Huang, Xing Hu, Hongjian Wei and Baigan Zhao
Electronics 2021, 10(4), 471; https://doi.org/10.3390/electronics10040471
Available online: http://www.mdpi.com/2079-9292/10/4/471
8. “UAV-Assisted Data Collection in Wireless Sensor Networks: A Comprehensive Survey”
by Minh T. Nguyen, Cuong V. Nguyen, Hai T. Do, Hoang T. Hua, Thang A. Tran, An D. Nguyen, Guido Ala and Fabio Viola
Electronics 2021, 10(21), 2603; https://doi.org/10.3390/electronics10212603
Available online: https://www.mdpi.com/2079-9292/10/21/2603
9. “Machine Learning-Based Vehicle Trajectory Prediction Using V2V Communications and On-Board Sensors”
by Dongho Choi, Janghyuk Yim, Minjin Baek and Sangsun Lee
Electronics 2021, 10(4), 420; https://doi.org/10.3390/electronics10040420
Available online: http://www.mdpi.com/2079-9292/10/4/420
10. “Reliable Vehicle Data Storage Using Blockchain and IPFS”
by Hyoeun Ye and Sejin Park
Electronics 2021, 10(10), 1130; https://doi.org/10.3390/electronics10101130
Available online: https://www.mdpi.com/2079-9292/10/10/1130