Algorithms | Highly Cited Papers Published in 2024–2025 (VI)

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 2024 and 2025 (part VI), which are listed below:

1. “Using Smartwatches in Stress Management, Mental Health, and Well-Being: A Systematic Review”
   by Nikoletta-Anna Kapogianni, Angeliki Sideraki and Christos-Nikolaos Anagnostopoulos
   Algorithms 2025, 18(7), 419; https://doi.org/10.3390/a18070419
   Available online: http://www.mdpi.com/1999-4893/18/7/419
2. “Learning State-Specific Action Masks for Reinforcement Learning”
   by Ziyi Wang, Xinran Li, Luoyang Sun, Haifeng Zhang, Hualin Liu and Jun Wang
   Algorithms 2024, 17(2), 60; https://doi.org/10.3390/a17020060
   Available online: http://www.mdpi.com/1999-4893/17/2/60
3. “Advancing Pulmonary Nodule Diagnosis by Integrating Engineered and Deep Features Extracted from CT Scans”
   by Wiem Safta and Ahmed Shaffie
   Algorithms 2024, 17(4), 161; https://doi.org/10.3390/a17040161
   Available online: http://www.mdpi.com/1999-4893/17/4/161
4. “Federated Learning-Based Security Attack Detection for Multi-Controller Software-Defined Networks”
   by Abrar Alkhamisi, Iyad Katib and Seyed M. Buhari
   Algorithms 2024, 17(7), 290; https://doi.org/10.3390/a17070290
   Available online: http://www.mdpi.com/1999-4893/17/7/290
5. “Convolutional Neural Network-Based Digital Diagnostic Tool for the Identification of Psychosomatic Illnesses”
   by Marta Narigina, Andrejs Romanovs and Yuri Merkuryev
   Algorithms 2024, 17(8), 329; https://doi.org/10.3390/a17080329
   Available online: http://www.mdpi.com/1999-4893/17/8/329
6. “Hyperspectral Python: HypPy”
   by Wim Bakker, Frank van Ruitenbeek, Harald van der Werff, Christoph Hecker, Arjan Dijkstra and Freek van der Meer
   Algorithms 2024, 17(8), 337; https://doi.org/10.3390/a17080337
   Available online: http://www.mdpi.com/1999-4893/17/8/337
7. “Advanced Fault Detection in Power Transformers Using Improved Wavelet Analysis and LSTM Networks Considering Current Transformer Saturation and Uncertainties”
   by Qusay Alhamd, Mohsen Saniei, Seyyed Ghodratollah Seifossadat and Elaheh Mashhour
   Algorithms 2024, 17(9), 397; https://doi.org/10.3390/a17090397
   Available online: http://www.mdpi.com/1999-4893/17/9/397
8. “Hybrid Four Vector Intelligent Metaheuristic with Differential Evolution for Structural Single-Objective Engineering Optimization”
   by Hussam N. Fakhouri, Ahmad Sami Al-Shamayleh, Abdelraouf Ishtaiwi, Sharif Naser Makhadmeh, Sandi N. Fakhouri and Faten Hamad
   Algorithms 2024, 17(9), 417; https://doi.org/10.3390/a17090417
   Available online: http://www.mdpi.com/1999-4893/17/9/417
9. “A Machine Learning Framework for Classroom EEG Recording Classification: Unveiling Learning-Style Patterns”
   by Rajamanickam Yuvaraj, Shivam Chadha, A. Amalin Prince, M. Murugappan, Md. Sakib Bin Islam, Md. Shaheenur Islam Sumon and Muhammad E. H. Chowdhury
   Algorithms 2024, 17(11), 503; https://doi.org/10.3390/a17110503
   Available online: http://www.mdpi.com/1999-4893/17/11/503
10. “Performance Investigation of Active, Semi-Active and Passive Suspension Using Quarter Car Model”
    by Kyle Samaroo, Abdul Waheed Awan, Siva Marimuthu, Muhammad Naveed Iqbal, Kamran Daniel and Noman Shabbir
    Algorithms 2025, 18(2), 100; https://doi.org/10.3390/a18020100
    Available online: http://www.mdpi.com/1999-4893/18/2/100