31 July 2025
Algorithms | Highly Cited Papers Published in 2023–2024

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Editor’s Choice articles are based on recommendations by the scientific editors of MDPI journals from around the world. Editors select a small number of articles recently published in the journal that they believe will be particularly interesting to readers, or important in the respective research area. The aim is to provide a snapshot of some of the most exciting work published in the various research areas of the journal.
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As all of the articles published in Algorithms (ISSN: 1999-4893) are of open access format, you have free and unlimited access to the full text of all articles. We invite you to read our most highly cited papers published in 2023–2024, which are listed below:
1. “A Deep Analysis of Brain Tumor Detection from MR Images Using Deep Learning Networks”
by Md Ishtyaq Mahmud, Muntasir Mamun and Ahmed Abdelgawad
Algorithms 2023, 16(4), 176; https://doi.org/10.3390/a16040176
Available online: https://www.mdpi.com/1999-4893/16/4/176
2. “Improved Object Detection Method Utilizing YOLOv7-Tiny for Unmanned Aerial Vehicle Photographic Imagery”
by Linhua Zhang, Ning Xiong, Xinghao Pan, Xiaodong Yue, Peng Wu and Caiping Guo
Algorithms 2023, 16(11), 520; https://doi.org/10.3390/a16110520
Available online: https://www.mdpi.com/1999-4893/16/11/520
3. “Physics-Informed Deep Learning for Traffic State Estimation: A Survey and the Outlook”
by Xuan Di, Rongye Shi, Zhaobin Mo and Yongjie Fu
Algorithms 2023, 16(6), 305; https://doi.org/10.3390/a16060305
Available online: https://www.mdpi.com/1999-4893/16/6/305
4. “V-SOC4AS: A Vehicle-SOC for Improving Automotive Security”
by Vita Santa Barletta, Danilo Caivano, Mirko De Vincentiis, Azzurra Ragone, Michele Scalera and Manuel Ángel Serrano Martín
Algorithms 2023, 16(2), 112; https://doi.org/10.3390/a16020112
Available online: https://www.mdpi.com/1999-4893/16/2/112
5. “Optimizing Automated Trading Systems with Deep Reinforcement Learning”
by Minh Tran, Duc Pham-Hi and Marc Bui
Algorithms 2023, 16(1), 23; https://doi.org/10.3390/a16010023
Available online: https://www.mdpi.com/1999-4893/16/1/23
6. “A Novel Intelligent Method for Fault Diagnosis of Steam Turbines Based on T-SNE and XGBoost”
by Zhiguo Liang, Lijun Zhang and Xizhe Wang
Algorithms 2023, 16(2), 98; https://doi.org/10.3390/a16020098
Available online: https://www.mdpi.com/1999-4893/16/2/98
7. “Fourier Neural Operator for Fluid Flow in Small-Shape 2D Simulated Porous Media Dataset”
by Abouzar Choubineh, Jie Chen, David A. Wood, Frans Coenen and Fei Ma
Algorithms 2023, 16(1), 24; https://doi.org/10.3390/a16010024
Available online: https://www.mdpi.com/1999-4893/16/1/24
8. “Exploring the Use of Artificial Intelligence in Agent-Based Modeling Applications: A Bibliometric Study”
by Ștefan Ionescu, Camelia Delcea, Nora Chiriță and Ionuț Nica
Algorithms 2024, 17(1), 21; https://doi.org/10.3390/a17010021
Available online: https://www.mdpi.com/1999-4893/17/1/21
9. “Design Optimization of Truss Structures Using a Graph Neural Network-Based Surrogate Model”
by Navid Nourian, Mamdouh El-Badry and Maziar Jamshidi
Algorithms 2023, 16(8), 380; https://doi.org/10.3390/a16080380
Available online: https://www.mdpi.com/1999-4893/16/8/380