| Deep learning for medical image processing: Overview, challenges and the future MI Razzak, S Naz, A Zaib Classification in BioApps, 323-350, 2018 | 1314 | 2018 |
| A deep learning-based framework for automatic brain tumors classification using transfer learning A Rehman, S Naz, MI Razzak, F Akram, M Imran Circuits, Systems, and Signal Processing 39, 757-775, 2020 | 467 | 2020 |
| Future smart cities requirements, emerging technologies, applications, challenges, and future aspects AR Javed, F Shahzad, S ur Rehman, YB Zikria, I Razzak, Z Jalil, G Xu Cities 129, 103794, 2022 | 317* | 2022 |
| COVIDSenti: A large-scale benchmark Twitter data set for COVID-19 sentiment analysis U Naseem, I Razzak, M Khushi, PW Eklund, J Kim IEEE transactions on computational social systems 8 (4), 1003-1015, 2021 | 313 | 2021 |
| Transformer based deep intelligent contextual embedding for twitter sentiment analysis U Naseem, I Razzak, K Musial, M Imran Future Generation Computer Systems 113, 58-69, 2020 | 251 | 2020 |
| Artificial intelligence in the battle against coronavirus (COVID-19): a survey and future research directions TT Nguyen, QVH Nguyen, DT Nguyen, S Yang, PW Eklund, T Huynh-The, ... arXiv preprint arXiv:2008.07343, 2020 | 251 | 2020 |
| Big Data Analytics for Preventive Medicine MI Razzak, M Imran, G Xu Neural Computing Applications, 1-35, 2019 | 205 | 2019 |
| A comprehensive survey on word representation models: From classical to state-of-the-art word representation language models U Naseem, I Razzak, SK Khan, M Prasad Transactions on Asian and Low-Resource Language Information Processing 20 (5 …, 2021 | 199 | 2021 |
| Saeeda Naz, and Ahmad Zaib MI Razzak Deep learning for medical image processing: Overview, challenges and the …, 2018 | 191* | 2018 |
| Middle Eastern Character Recognition A Belaı̈d, MI Razzak Handbook of Document Image Processing and Recognition, 427-457, 2014 | 177* | 2014 |
| Efficient brain tumor segmentation with multiscale two-pathway-group conventional neural networks MI Razzak, M Imran, G Xu IEEE journal of biomedical and health informatics 23 (5), 1911-1919, 2018 | 166 | 2018 |
| A novel approach for phishing URLs detection using lexical based machine learning in a real-time environment BB Gupta, K Yadav, I Razzak, K Psannis, A Castiglione, X Chang Computer Communications 175, 47-57, 2021 | 165 | 2021 |
| The optical character recognition of Urdu-like cursive scripts S Naz, K Hayat, MI Razzak, MW Anwar, SA Madani, SU Khan Pattern Recognition 47 (3), 1229-1248, 2014 | 155 | 2014 |
| Leveraging Big Data Analytics in Healthcare Enhancement: Trends, Challenges and Opportunities A Rehman, S Naz, I Razzak Multimedia Systems, 2021 | 148 | 2021 |
| Explainable depression detection with multi-aspect features using a hybrid deep learning model on social media H Zogan, I Razzak, X Wang, S Jameel, G Xu World Wide Web 25 (1), 281-304, 2022 | 133 | 2022 |
| XSRU-IoMT: Explainable simple recurrent units for threat detection in Internet of Medical Things networks IA Khan, N Moustafa, I Razzak, M Tanveer, D Pi, Y Pan, BS Ali Future Generation Computer Systems 127, 181-193, 2022 | 128* | 2022 |
| Urdu Nastaliq recognition using convolutional–recursive deep learning S Naz, AI Umar, R Ahmad, I Siddiqi, SB Ahmed, MI Razzak, F Shafait Neurocomputing 243, 80-87, 2017 | 124 | 2017 |
| A survey of pre-processing techniques to improve short-text quality: a case study on hate speech detection on twitter U Naseem, I Razzak, PW Eklund Multimedia Tools and Applications 80, 35239-35266, 2021 | 117 | 2021 |
| Writer identification using machine learning approaches: a comprehensive review A Rehman, S Naz, MI Razzak Multimedia Tools and Applications 78, 10889-10931, 2019 | 106 | 2019 |
| Microscopic blood smear segmentation and classification using deep contour aware CNN and extreme machine learning M Imran Razzak, S Naz Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 103 | 2017 |
