All of the articles published in J—Multidisciplinary Scientific Journal (ISSN: 2571-8800) are in an open access format, granting our readers free and unlimited access to the full texts. We welcome you to read our most viewed articles published from January 2024 to January 2025, which are listed below:
1. “Plant Leaf Disease Detection Using Deep Learning: A Multi-Dataset Approach”
by Manjunatha Shettigere Krishna, Pedro Machado, Richard I. Otuka, Salisu W. Yahaya, Filipe Neves dos Santos and Isibor Kennedy Ihianle
J 2025, 8(1), 4; https://doi.org/10.3390/j8010004
Available online: https://www.mdpi.com/2571-8800/8/1/4
2. “Hydrogen as an Energy Carrier—An Overview over Technology, Status, and Challenges in Germany”
by Caroline Willich
J 2024, 7(4), 546-570; https://doi.org/10.3390/j7040033
Available online: https://www.mdpi.com/2571-8800/7/4/33
3. “Electrification or Hydrogen? The Challenge of Decarbonizing Industrial (High-Temperature) Process Heat”
by Jörg Leicher, Anne Giese and Christoph Wieland
J 2024, 7(4), 439-456; https://doi.org/10.3390/j7040026
Available online: https://www.mdpi.com/2571-8800/7/4/26
4. “Gut Microbiota-Mediated Biotransformation of Medicinal Herb-Derived Natural Products: A Narrative Review of New Frontiers in Drug Discovery”
by Christine Tara Peterson
J 2024, 7(3), 351-372; https://doi.org/10.3390/j7030020
Available online: https://www.mdpi.com/2571-8800/7/3/20
5. “Current Review: Alginate in the Food Applications”
by Shirin Kazemzadeh Pournaki, Ricardo Santos Aleman, Mehrdad Hasani-Azhdari, Jhunior Marcia, Ajitesh Yadav and Marvin Moncada
J 2024, 7(3), 281-301; https://doi.org/10.3390/j7030016
Available online: https://www.mdpi.com/2571-8800/7/3/16
6. “Challenges and Advancements in All-Solid-State Battery Technology for Electric Vehicles”
by Rajesh Shah, Vikram Mittal and Angelina Mae Precilla
J 2024, 7(3), 204-217; https://doi.org/10.3390/j7030012
Available online: https://www.mdpi.com/2571-8800/7/3/12
7. “Self-Defense Mechanism in Rice to Salinity: Proline”
by Yunus Emre Koc, Murat Aycan and Toshiaki Mitsui
J 2024, 7(1), 103-115; https://doi.org/10.3390/j7010006
Available online: https://www.mdpi.com/2571-8800/7/1/6
8. “An Advanced Deep Learning Framework for Multi-Class Diagnosis from Chest X-ray Images”
by Maria Vasiliki Sanida, Theodora Sanida, Argyrios Sideris and Minas Dasygenis
J 2024, 7(1), 48-71; https://doi.org/10.3390/j7010003
Available online: https://www.mdpi.com/2571-8800/7/1/3
