| Challenges and solutions for processing real-time big data stream: a systematic literature review E Mehmood, T Anees IEEE Access 8, 119123-119143, 2020 | 88 | 2020 |
| SCDNet: a deep learning-based framework for the multiclassification of skin cancer using dermoscopy images A Naeem, T Anees, M Fiza, RA Naqvi, SW Lee Sensors 22 (15), 5652, 2022 | 86 | 2022 |
| CDC_Net: multi-classification convolutional neural network model for detection of COVID-19, pneumothorax, pneumonia, lung Cancer, and tuberculosis using chest X-rays M Malik, H., Anees, T., Din Multimedia Tools and Applications (part of Springer Nature 2022), 2022 | 83* | 2022 |
| A Comprehensive Analysis of Recent Deep and Federated-Learning-Based Methodologies for Brain Tumor Diagnosis RANWL Ahmad Naeem, Tayyaba Anees Journal of Personalized Medicine 12, 275, 2022 | 72 | 2022 |
| The web of things: findability taxonomy and challenges MR Faheem, T Anees, M Hussain IEEE Access 7, 185028-185041, 2019 | 57 | 2019 |
| Blockchain and Internet of Things in smart cities and drug supply management: Open issues, opportunities, and future directions H Malik, T Anees, M Faheem, MU Chaudhry, A Ali, MN Asghar Internet of things 23, 100860, 2023 | 55 | 2023 |
| BDCNet: Multi-classification convolutional neural network model for classification of COVID-19, pneumonia, and lung cancer from chest radiographs H Malik, T Anees Multimedia Systems 28 (3), 815-829, 2022 | 38 | 2022 |
| Web of things: security challenges and mechanisms R Sardar, T Anees Ieee Access 9, 31695-31711, 2021 | 35 | 2021 |
| Performance analysis of not only SQL semi-stream join using MongoDB for real-time data warehousing E Mehmood, T Anees IEEE Access 7, 134215-134225, 2019 | 35 | 2019 |
| Deep learned vectors’ formation using auto-correlation, scaling, and derivations with CNN for complex and huge image retrieval A Naeem, T Anees, KT Ahmed, RA Naqvi, S Ahmad, T Whangbo Complex & Intelligent Systems 9 (2), 1729-1751, 2023 | 30 | 2023 |
| Blockchain-federated and deep-learning-based ensembling of capsule network with incremental extreme learning machines for classification of COVID-19 using CT scans H Malik, T Anees, A Naeem, RA Naqvi, WK Loh Bioengineering 10 (2), 203, 2023 | 28 | 2023 |
| A novel fusion model of hand-crafted features with deep convolutional neural networks for classification of several chest diseases using X-ray images H Malik, T Anees, MU Chaudhry, R Gono, M Jasiński, Z Leonowicz, ... IEEE Access 11, 39243-39268, 2023 | 27 | 2023 |
| The integration of WoT and edge computing: Issues and challenges T Anees, Q Habib, AS Al-Shamayleh, W Khalil, MA Obaidat, A Akhunzada Sustainability 15 (7), 5983, 2023 | 27 | 2023 |
| SNC_Net: skin cancer detection by integrating handcrafted and deep learning-based features using dermoscopy images A Naeem, T Anees, M Khalil, K Zahra, RA Naqvi, SW Lee Mathematics 12 (7), 1030, 2024 | 26 | 2024 |
| Distributed real-time ETL architecture for unstructured big data Mehmood, E., Anees, T Knowledge and Information Systems (part of Springer Nature 2022), 2022 | 26 | 2022 |
| DVFNet: A deep feature fusion-based model for the multiclassification of skin cancer utilizing dermoscopy images A Naeem, T Anees Plos one 19 (3), e0297667, 2024 | 17 | 2024 |
| Multi-modal deep learning methods for classification of chest diseases using different medical imaging and cough sounds H Malik, T Anees Plos one 19 (3), e0296352, 2024 | 10 | 2024 |
| Spatial Correlation Module for Classification of Multi-Label Ocular Diseases Using Color Fundus Images TAMH Ali Haider Khan, Hassaan Malik, Wajeeha Khalil, Sayyid Kamran Hussain CMC-Computers Materials & Continua, 2023 | 10* | 2023 |
| An efficient data access approach with queue and stack in optimized hybrid join O Aziz, T Anees, E Mehmood IEEE Access 9, 41261-41274, 2021 | 10 | 2021 |
| Space‐Air‐Ground Integrated Network for Disaster Management: Systematic Literature Review MJ Anjum, T Anees, F Tariq, M Shaheen, S Amjad, F Iftikhar, F Ahmad Applied Computational Intelligence and Soft Computing 2023 (1), 6037882, 2023 | 8 | 2023 |
Hassaan MalikPhD Computer Science, University of Management and Technology LahoreCorreu electrònic verificat a umt.edu.pk