Selected Publications

Here are some of my key publications (full list available on Google Scholar). My name is highlighted in bold.

  1. Abdur Rasool; Jingwei Hong; Qiang Qu; Qingshan Jiang*; Xiaoluo Huang; and Junbiao Dai*; "An Effective DNA-Based File Storage System for Practical Archiving and Retrieval of Medical MRI Data", Small Methods, 2024 [SCI-Q1, IF 10.7] [PDF]
  1. Abdur Rasool, Saba Aslam, Yishan Wang, Yi Pan*, "Deep neurocomputational fusion for ASD diagnosis using multi-domain EEG analysis", Neurocomputing, 2025. [SCI-Q1, IF 6.7] [PDF]
  1. Abdur Rasool*, Vincent Chan, and Muhammad Ali Arshad, "Emotion-Aware Embedding Fusion in Large Language Models (Flan-T5, Llama 2, DeepSeek-R1, and ChatGPT 4) for Intelligent Response Generation". AI, 2025. [SCI-Q1, IF 6.5] [PDF]
  1. Abdur Rasool; Jiang Qingshan*; Hui, Chen; Qiang, Qu; "BO-DNA: Biologically optimized encoding model for a highly-reliable DNA data storage," Computers in Biology and Medicine, 2023. [SCI-Q1, IF 6.3] [PDF]
  1. Abdur Rasool*; Faizan Ahmad; Chayut Bunterngchit; Saba Aslam; "Challenges in translating AI-driven ASD/ADHD diagnosis: A methodological systematic review," International Journal of Medical Informatics, 2026. [SCI-Q1, IF 5] [PDF]
  1. Abdur Rasool; Chayut, Bunterngchit; Luo, Tiejian; Qingshan, Jiang*; "Improved Machine Learning-Based Predictive Models for Breast Cancer Diagnosis" Int. J. Environ. Res. Public Health, 2022. [SCI-Q1, IF 4.6] [PDF]
  1. Abdur Rasool, Qingshan Jiang*, Xiaoluo Huang, Junbiao Dai*, “Evolutionary approach to construct robust codes for DNA-based data storage” Frontiers in Genetics, 2023. [SCI-Q2, IF 3] [PDF]
  1. Han Ping, Abdur Rasool*, Qingshan Jiang, “MFB: A Generalized Multimodal Fusion Approach for Bitcoin Price Prediction Using Time-Lagged Sentiment and Indicator Features” Expert Systems with Applications, 2025. [SCI-Q1, IF 9.4] [PDF]
  1. R. U. Haque, A. S. M. T. Hasan, Abdur Rasool, Q. Jiang*, Y. Zhang, "A novel secure and distributed architecture for privacy-preserving healthcare system," Journal of Network and Computer Applications, 2023 [SCI-Q1, IF 8] [PDF]
  1. Kaiying Lin, Abdur Rasool, Dennis P Wall, Peter Washington*, “Aiding Large Language Models Using Clinical Scoresheets for Neurobehavioral Diagnostic Classification From Text: Algorithm Development and Validation” JMIR AI, 2025. [Q1, 6] [PDF]
  1. Chayut Bunterngchit, Abdur Rasool, "Attention-guided electroencephalography fusion with fractal and nonlinear dynamics decodes early Alzheimer's biomarkers", Computers and Electrical Engineering, 2026. [SCI-Q1, IF 5.5] [PDF]
  1. Saba Aslam; Abdur Rasool; Hongyan Wu*; Xiaoli Li; “CEL: A Continual Learning Model for Disease Outbreak Prediction by Leveraging Domain Adaptation via Elastic Weight Consolidation”, Interdisciplinary Sciences: Computational Life Sciences, 2025. [SCI-Q1, IF 5.2] [PDF]
  1. Kamyab, Marjan; Liu, Guohua*; Abdur Rasool; “ACR-SA: attention-based deep model through two-channel CNN and Bi-RNN for sentiment analysis” PeerJ Computer Science, 2022 [SCI-Q2, IF 3.5] [PDF]
  1. Chayut Bunterngchit, Laith H. Baniata, Abdur Rasool, “NeuroXAI: Explainable Deep Learning for EEG-Based Detection of Alzheimer's and Parkinson's Diseases”, IEEE 25th International Conference on Bioinformatics and Bioengineering (BIBE), 2025. [CCF-B, EI] [PDF]