| Image-Based Service Recommendation System: A JPEG-Coefficient RFs Approach F Ullah, B Zhang, RU Khan IEEE Access 8, 3308-3318, 2019 | 45 | 2019 |
| Conventional to Deep Ensemble Methods for Hyperspectral Image Classification: A Comprehensive Survey F Ullah, I Ullah, RU Khan, S Khan, K Khan, G Pau IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024 | 37 | 2024 |
| Deep Edu: A Deep Neural Collaborative Filtering for Educational Services Recommendation F Ullah, B Zhang, RU Khan, TS Chung, M Attique, K Khan, S El Khediri, ... IEEE Access 8, 110915-110928, 2020 | 24 | 2020 |
| A survey on X. 509 public-key infrastructure, certificate revocation, and their modern implementation on blockchain and ledger technologies S Khan, F Luo, Z Zhang, F Ullah, F Amin, SF Qadri, MBB Heyat, R Ruby, ... IEEE Communications Surveys & Tutorials, 2023 | 22 | 2023 |
| Deep Hyperspectral Shots: Deep Snap Smooth Wavelet Convolutional Neural Network Shots Ensemble for Hyperspectral Image Classification F Ullah, Y Long, I Ullah, RU Khan, S Khan, K Khan, M Khan, G Pau IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 | 19 | 2023 |
| Visual-based Items Recommendation Using Deep Neural Network F Ullah, B Zhang, RU Khan, I Ullah, A Khan, AM Qamar Proceedings of the 2020 International Conference on Computing, Networks and …, 2020 | 6 | 2020 |
| Large-scale Distributive Matrix Collaborative Filtering for Recommender System F Ullah, B Zhang, G Zou, I Ullah, AM Qamar Proceedings of the 2020 International Conference on Computing, Networks and …, 2020 | 6 | 2020 |
| LFIR-YOLO: Lightweight Model for Infrared Vehicle and Pedestrian Detection Q Wang, F Liu, Y Cao, F Ullah, M Zhou Sensors 24 (20), 6609, 2024 | 4 | 2024 |
| An Efficient Static Filters for Sky Detection I Ullah, Y Fan, G Bing, RU Khan, F Ullah, K Liu Research Journal of Applied Sciences, Engineering and Technology 14 (8), 276-280, 2017 | 1 | 2017 |
| Advances in deep neural network-based hyperspectral image classification and feature learning with limited samples: a survey F Ullah, I Ullah, K Khan, S Khan, F Amin Applied Intelligence 55 (6), 1-48, 2025 | | 2025 |
| The Role of Machine Learning in Congenital Heart Disease Diagnosis: Datasets, Algorithms, and Insights K Khan, F Ullah, I Syed, I Ullah arXiv preprint arXiv:2501.04493, 2025 | | 2025 |
| Accurately assessing congenital heart disease using artificial intelligence K Khan, F Ullah, I Syed, H Ali PeerJ Computer Science 10, e2535, 2024 | | 2024 |
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