Mathematics | Top 10 Highly Viewed Papers Published in 2023–2024 in the “Mathematics and Computer Science” Section

We are pleased to announce the top 10 highly viewed papers in 2023 and 2024 from the “Mathematics and Computer Science” Section of Mathematics (ISSN: 2227-7390), carefully selected for their exceptional quality and relevance. We invite you to read these papers, which represent cutting-edge research combining mathematical reasoning and computing.

1. “A Mathematical Investigation of Hallucination and Creativity in GPT Models”
by Minhyeok Lee
Mathematics 2023, 11(10), 2320; https://doi.org/10.3390/math11102320
Full text available online: https://www.mdpi.com/2227-7390/11/10/2320

2. “It’s All in the Embedding! Fake News Detection Using Document Embeddings”
by Ciprian-Octavian Truică and Elena-Simona Apostol
Mathematics 2023, 11(3), 508; https://doi.org/10.3390/math11030508
Full text available online: https://www.mdpi.com/2227-7390/11/3/508

3. “Review of Quaternion-Based Color Image Processing Methods”
by Chaoyan Huang, Juncheng Li and Guangwei Gao
Mathematics 2023, 11(9), 2056; https://doi.org/10.3390/math11092056
Full text available online: https://www.mdpi.com/2227-7390/11/9/2056

4. “A Mathematical Interpretation of Autoregressive Generative Pre-Trained Transformer and Self-Supervised Learning”
by Minhyeok Lee
Mathematics 2023, 11(11), 2451; https://doi.org/10.3390/math11112451
Full text available online: https://www.mdpi.com/2227-7390/11/11/2451

5. “Review of GrabCut in Image Processing”
by Zhaobin Wang, Yongke Lv, Runliang Wu and Yaonan Zhang
Mathematics 2023, 11(8), 1965; https://doi.org/10.3390/math11081965
Full text available online: https://www.mdpi.com/2227-7390/11/8/1965

6. “Performance Analysis of Long Short-Term Memory Predictive Neural Networks on Time Series Data”
by Roland Bolboacă and Piroska Haller
Mathematics 2023, 11(6), 1432; https://doi.org/10.3390/math11061432
Full text available online: https://www.mdpi.com/2227-7390/11/6/1432

7. “On the Quality of Synthetic Generated Tabular Data”
by Erica Espinosa and Alvaro Figueira
Mathematics 2023, 11(15), 3278; https://doi.org/10.3390/math11153278
Full text available online: https://www.mdpi.com/2227-7390/11/15/3278

8. “C-KAN: A New Approach for Integrating Convolutional Layers with Kolmogorov–Arnold Networks for Time-Series Forecasting”
by Ioannis E. Livieris
Mathematics 2024, 12(19), 3022; https://doi.org/10.3390/math12193022
Full text available online: https://www.mdpi.com/2227-7390/12/19/3022

9. “Quantum Computing in Telecommunication—A Survey”
by Frank Phillipson
Mathematics 2023, 11(15), 3423; https://doi.org/10.3390/math11153423
Full text available online: https://www.mdpi.com/2227-7390/11/15/3423

10. “A Depth-Progressive Initialization Strategy for Quantum Approximate Optimization Algorithm”
by Xinwei Lee, Ningyi Xie, Dongsheng Cai, Yoshiyuki Saito and Nobuyoshi Asai
Mathematics 2023, 11(9), 2176; https://doi.org/10.3390/math11092176
Full text available online: https://www.mdpi.com/2227-7390/11/9/2176