Journal of Imaging | Highly Cited Papers Published in 2025
Open access promotes the free exchange of scientific knowledge, enabling researchers worldwide to share ideas and build on published findings. Journal of Imaging (J. Imaging, ISSN 2313-433X) invites readers to explore a selection of its most-cited papers published in 2025, covering deepfake forensics, synthetic image generation, biomedical image analysis, and imaging applications in agriculture, environmental monitoring, and security. These contributions reflect the breadth of imaging research and its practical relevance. We hope the papers below will inspire new ideas, discussions, and collaborations.
1. “Deepfake Media Forensics: Status and Future Challenges”
by Irene Amerini, Mauro Barni, Sebastiano Battiato, Paolo Bestagini, Giulia Boato, Vittoria Bruni, Roberto Caldelli, Francesco De Natale, Rocco De Nicola, Luca Guarnera et al.
J. Imaging 2025, 11(3), 73; https://doi.org/10.3390/jimaging11030073
2. “Applications of Artificial Intelligence, Deep Learning, and Machine Learning to Support the Analysis of Microscopic Images of Cells and Tissues”
by Viviana Benfante, Ghazal Basirinia, Pierpaolo Alongi, Alessandro Sperandeo, Alberto Quattrocchi, Antonino Giulio Giannone, Daniela Cabibi, Anthony Yezzi, Domenico Di Raimondo et al.
J. Imaging 2025, 11(2), 59; https://doi.org/10.3390/jimaging11020059
3. “A Review on the Detection of Plant Disease Using Machine Learning and Deep Learning Approaches”
by Thandiwe Nyawose, Rito Clifford Maswanganyi and Philani Khumalo
J. Imaging 2025, 11(10), 326; https://doi.org/10.3390/jimaging11100326
4. “Synthetic Scientific Image Generation with VAE, GAN, and Diffusion Model Architectures”
by Zineb Sordo, Eric Chagnon, Zixi Hu, Jeffrey J. Donatelli, Peter Andeer, Peter S. Nico, Trent Northen and Daniela Ushizima
J. Imaging 2025, 11(8), 252; https://doi.org/10.3390/jimaging11080252
5. “Design of an Optimal Convolutional Neural Network Architecture for MRI Brain Tumor Classification by Exploiting Particle Swarm Optimization”
by Sofia El Amoury, Youssef Smili and Youssef Fakhri
J. Imaging 2025, 11(2), 31; https://doi.org/10.3390/jimaging11020031
6. “Pano-GAN: A Deep Generative Model for Panoramic Dental Radiographs”
by Søren Pedersen, Sanyam Jain, Mikkel Chavez, Viktor Ladehoff, Bruna Neves de Freitas and Ruben Pauwels
J. Imaging 2025, 11(2), 41; https://doi.org/10.3390/jimaging11020041
7. “Skin Lesion Classification Through Test Time Augmentation and Explainable Artificial Intelligence”
by Loris Cino, Cosimo Distante, Alessandro Martella and Pier Luigi Mazzeo
J. Imaging 2025, 11(1), 15; https://doi.org/10.3390/jimaging11010015
8. “Optimizing Deep Learning Models for Climate-Related Natural Disaster Detection from UAV Images and Remote Sensing Data”
by Kim VanExel, Samendra Sherchan and Siyan Liu
J. Imaging 2025, 11(2), 32; https://doi.org/10.3390/jimaging11020032
9. “Concealed Weapon Detection Using Thermal Cameras”
by Juan D. Muñoz, Jesus Ruiz-Santaquiteria, Oscar Deniz and Gloria Bueno
J. Imaging 2025, 11(3), 72; https://doi.org/10.3390/jimaging11030072
by Cecilia Diana-Albelda, Álvaro García-Martín and Jesus Bescos
J. Imaging 2025, 11(8), 269; https://doi.org/10.3390/jimaging11080269