"She Seems More Human": Understanding Twitter Users' Credibility Assessments of Dementia-Related Information. - Fatimah Alhayan; Diane Rasmussen Pennington; Ian Ruthven (iConference (2), 2022)

Twitter use by the dementia community during COVID-19: a user classification and social network analysis. - Fatimah Alhayan; Diane Rasmussen Pennington; Sarra Ayouni (Online Inf. Rev., 2023)

Unveiling Deception in Arabic: Optimization of Deceptive Text Detection Across Formal and Informal Genres. - Fatimah Alhayan; Hanen T. Himdi; Basma Alharbi (IEEE Access, 2024)

Prediction of Alzheimer's disease stages based on ResNet-Self-attention architecture with Bayesian optimization and best features selection. - Nabeela Yaqoob; Muhammad Attique Khan; Saleha Masood; Hussain Mobarak Albarakati; Ameer Hamza; Fatimah Alhayan; Leila Jamel 001; Anum Masood (Frontiers Comput. Neurosci., 2024)

Detection of cyberhate speech towards female sport in the Arabic Xsphere. - Fatimah Alhayan; Monerah Almobarak; Hawazen Shalabi; Luluwah Alshubaili; Renad Albatati; Wafa Alqahtani; Nofe Alhaidari (PeerJ Comput. Sci., 2024)

Ensemble learning approach for distinguishing human and computer-generated Arabic reviews. - Fatimah Alhayan; Hanen T. Himdi (PeerJ Comput. Sci., 2024)

Neural networks and sentiment features for extremist content detection in arabic social media. - Hanen T. Himdi; Fatimah Alhayan; Khaled Shaalan (Int. Arab J. Inf. Technol., 2025)

DA-FIS: A high-speed dynamic adaptive fault injection server framework for reliable FPGA-based embedded systems. - Fatimah Alhayan; Gaganjot Kaur; Sultan Alanazi; Mohammed Burhanur Rehman; Wahida Mansouri; Da'ad Albalawneh; Ali Alqazzaz; Hanadi Alkhudhayr (PeerJ Comput. Sci., 2025)

A blockchain-based solution for enhancing the efficiency and security of healthcare knowledge management systems in the era of industry 4.0. - Yang Yuman; S. B. Goyal; Anand Singh Rajawat; Manoj Kumar 009; Achyut Shankar; Fatimah Alhayan; Shakila Basheer (Wirel. Networks, 2025)

Improving M-Health applications recommendation using fine-tune graph neural networks. - Manal Ayadi; Atta Ur Rahman; Amel Ksisbi; Fatimah Alhayan; Salam Ullah Khan (Clust. Comput., 2025)