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10 September 2026
AI | Highly Cited Papers in 2024


In view of the fact that all the articles published in AI (ISSN 2673-2688) are open access, you have free and unlimited access to their full text. Therefore, we invite you to read our most highly cited articles published in 2024, which are listed below:

1. “Understanding Physics-Informed Neural Networks: Techniques, Applications, Trends, and Challenges”
by Amer Farea, Olli Yli-Harja and Frank Emmert-Streib
AI 2024, 5(3), 1534-1557; https://doi.org/10.3390/ai5030074
Available online: https://www.mdpi.com/2673-2688/5/3/74

2. “A Comprehensive Review of AI Techniques for Addressing Algorithmic Bias in Job Hiring”
by Elham Albaroudi, Taha Mansouri and Ali Alameer
AI 2024, 5(1), 383-404; https://doi.org/10.3390/ai5010019
Available online: https://www.mdpi.com/2673-2688/5/1/19

3. “Error Correction and Adaptation in Conversational AI: A Review of Techniques and Applications in Chatbots”
by Saadat Izadi and Mohamad Forouzanfar
AI 2024, 5(2), 803-841; https://doi.org/10.3390/ai5020041
Available online: https://www.mdpi.com/2673-2688/5/2/41

4. “Forging the Future: Strategic Approaches to Quantum AI Integration for Industry Transformation”
by Meng-Leong How and Sin-Mei Cheah
AI 2024, 5(1), 290-323; https://doi.org/10.3390/ai5010015
Available online: https://www.mdpi.com/2673-2688/5/1/15

5. “xLSTMTime: Long-Term Time Series Forecasting with xLSTM”
by Musleh Alharthi and Ausif Mahmood
AI 2024, 5(3), 1482-1495; https://doi.org/10.3390/ai5030071
Available online: https://www.mdpi.com/2673-2688/5/3/71

6. “Trustworthy AI: Securing Sensitive Data in Large Language Models”
by Georgios Feretzakis and Vassilios S. Verykios
AI 2024, 5(4), 2773-2800; https://doi.org/10.3390/ai5040134
Available online: https://www.mdpi.com/2673-2688/5/4/134

7. “Secure Internet Financial Transactions: A Framework Integrating Multi-Factor Authentication and Machine Learning”
by AlsharifHasan Mohamad Aburbeian and Manuel Fernández-Veiga
AI 2024, 5(1), 177-194; https://doi.org/10.3390/ai5010010
Available online: https://www.mdpi.com/2673-2688/5/1/10

8. “AI and Face-Driven Orthodontics: A Scoping Review of Digital Advances in Diagnosis and Treatment Planning”
by Juraj Tomášik, Márton Zsoldos, Ľubica Oravcová, Michaela Lifková, Gabriela Pavleová, Martin Strunga and Andrej Thurzo
AI 2024, 5(1), 158-176; https://doi.org/10.3390/ai5010009
Available online: https://www.mdpi.com/2673-2688/5/1/9

9. “Deep Learning in Finance: A Survey of Applications and Techniques”
by Ebikella Mienye, Nobert Jere, George Obaido, Ibomoiye Domor Mienye and Kehinde Aruleba
AI 2024, 5(4), 2066-2091; https://doi.org/10.3390/ai5040101
Available online: https://www.mdpi.com/2673-2688/5/4/101

10. “Generative Adversarial Networks for Synthetic Data Generation in Finance: Evaluating Statistical Similarities and Quality Assessment”
by Faisal Ramzan, Claudio Sartori, Sergio Consoli and Diego Reforgiato Recupero
AI 2024, 5(2), 667-685; https://doi.org/10.3390/ai5020035
Available online: https://www.mdpi.com/2673-2688/5/2/35

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