15 May 2026
Journal of Low Power Electronics and Applications | Highly Cited Papers Published in 2024


All of the articles published in Journal of Low Power Electronics and Applications (JLPEA, ISSN: 2079-9268) are of open access format. You have free and unlimited access to the full text of all articles.

We invite you to read our highly cited papers of 2024 which are listed below:

1. “Advancing Smart Lighting: A Developmental Approach to Energy Efficiency through Brightness Adjustment Strategies
by Vandha Pradwiyasma Widartha, Ilkyeun Ra, Su-Yeon Lee and Chang-Soo Kim
J. Low Power Electron. Appl. 2024, 14(1), 6; https://doi.org/10.3390/jlpea14010006
Available online: https://www.mdpi.com/2079-9268/14/1/6

2. “Prospective Review of Magneto-Resistive Current Sensors with High Sensitivity and Wide Temperature Range”
by Zicai Yang and Yanfeng Jiang
J. Low Power Electron. Appl. 2024, 14(3), 43; https://doi.org/10.3390/jlpea14030043
Available online: https://www.mdpi.com/2079-9268/14/3/43

3. “A Survey of Short-Range Wireless Communication for Ultra-Low-Power Embedded Systems”
by Billy Baker, John Woods, Martin J. Reed and Martin Afford
J. Low Power Electron. Appl. 2024, 14(2), 27; https://doi.org/10.3390/jlpea14020027
Available online: https://www.mdpi.com/2079-9268/14/2/27

4. “Multi-Timescale Energy Consumption Management in Smart Buildings Using Hybrid Deep Artificial Neural Networks”
by Favour Ibude, Abayomi Otebolaku, Jude E. Ameh and Augustine Ikpehai
J. Low Power Electron. Appl. 2024, 14(4), 54; https://doi.org/10.3390/jlpea14040054
Available online: https://www.mdpi.com/2079-9268/14/4/54

5. “Array-Designed Triboelectric Nanogenerator for Healthcare Diagnostics: Current Progress and Future Perspectives”
by Zequan Zhao, Qiliang Zhu, Yifei Wang, Muhammad Shoaib, Xia Cao and Ning Wang
J. Low Power Electron. Appl. 2024, 14(1), 7; https://doi.org/10.3390/jlpea14010007
Available online: https://www.mdpi.com/2079-9268/14/1/7

6. “IoT-MFaceNet: Internet-of-Things-Based Face Recognition Using MobileNetV2 and FaceNet Deep-Learning Implementations on a Raspberry Pi-400”
by Ahmad Saeed Mohammad, Thoalfeqar G. Jarullah, Musab T. S. Al-Kaltakchi, Jabir Alshehabi Al-Ani and Somdip Dey
J. Low Power Electron. Appl. 2024, 14(3), 46; https://doi.org/10.3390/jlpea14030046
Available online: https://www.mdpi.com/2079-9268/14/3/46

7. “Modeling Excitable Cells with Memristors”
by Maheshwar Sah, Alon Ascoli, Ronald Tetzlaff, Vetriveeran Rajamani and Ram Kaji Budhathoki
J. Low Power Electron. Appl. 2024, 14(2), 31; https://doi.org/10.3390/jlpea14020031
Available online: https://www.mdpi.com/2079-9268/14/2/31

8. “Design and Assessment of Hybrid MTJ/CMOS Circuits for In-Memory-Computation”
by Prashanth Barla, Hemalatha Shivarama, Ganesan Deepa and Ujjwal Ujjwal
J. Low Power Electron. Appl. 2024, 14(1), 3; https://doi.org/10.3390/jlpea14010003
Available online: https://www.mdpi.com/2079-9268/14/1/3

9. “0.35 V Subthreshold Bulk-Driven CMOS Second-Generation Current Conveyor”
by Muhammad Omer Shah, Manfredi Caruso and Salvatore Pennisi
J. Low Power Electron. Appl. 2024, 14(3), 36; https://doi.org/10.3390/jlpea14030036
Available online: https://www.mdpi.com/2079-9268/14/3/36

10. “CMOS Design of Chaotic Systems Using Biquadratic OTA-C Filters”
by Eduardo Juarez-Mendoza, Francisco Asahel del Angel-Diaz, Alejandro Diaz-Sanchez and Esteban Tlelo-Cuautle
J. Low Power Electron. Appl. 2024, 14(1), 14; https://doi.org/10.3390/jlpea14010014
Available online: https://www.mdpi.com/2079-9268/14/1/14

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