| AI in drug discovery and its clinical relevance R Qureshi, M Irfan, TM Gondal, S Khan, J Wu, MU Hadi, J Heymach, X Le, ... Heliyon, 2023 | 46 | 2023 |
| Co-clustering to reveal salient facial features for expression recognition S Khan, L Chen, H Yan IEEE Transactions on Affective Computing 11 (2), 348-360, 2017 | 34 | 2017 |
| Contour and region harmonic features for sub-local facial expression recognition AR Shahid, S Khan, H Yan Journal of Visual Communication and Image Representation 73, 102949, 2020 | 29 | 2020 |
| An online spatio-temporal tensor learning model for visual tracking and its applications to facial expression recognition S Khan, G Xu, R Chan, H Yan Expert Systems with Applications 90, 427-438, 2017 | 24 | 2017 |
| Artificial intelligence and biosensors in healthcare and its clinical relevance: A review R Qureshi, M Irfan, H Ali, A Khan, AS Nittala, S Ali, A Shah, TM Gondal, ... IEEE Access, 2023 | 19 | 2023 |
| Discriminative tracking via supervised tensor learning G Xu, S Khan, H Zhu, L Han, MK Ng, H Yan Neurocomputing 315, 33-47, 2018 | 16 | 2018 |
| Image correspondence with CUR decomposition-based graph completion and matching S Khan, M Nawaz, X Guoxia, H Yan IEEE Transactions on Circuits and Systems for Video Technology 30 (9), 3054-3067, 2019 | 15 | 2019 |
| Deep eigen-filters for face recognition: Feature representation via unsupervised multi-structure filter learning M Zhang, S Khan, H Yan Pattern Recognition 100, 107176, 2020 | 13 | 2020 |
| Feature selection based on co-clustering for effective facial expression recognition S Khan, L Chen, X Zhe, H Yan 2016 International Conference on Machine Learning and Cybernetics (ICMLC) 1 …, 2016 | 13 | 2016 |
| Deep collaborative network with alpha matte for precise knee tissue segmentation from MRI S Khan, B Azam, Y Yao, W Chen Computer Methods and Programs in Biomedicine 222, 106963, 2022 | 12 | 2022 |
| Saliency detection by using blended membership maps of fast fuzzy-C-mean clustering M Nawaz, S Khan, J Cao, R Qureshi, H Yan Eleventh International Conference on machine vision (icmv 2018) 11041, 565-572, 2019 | 12 | 2019 |
| Clustering based one-to-one hypergraph matching with a large number of feature points M Nawaz, S Khan, R Qureshi, H Yan Signal Processing: Image Communication 74, 289-298, 2019 | 11 | 2019 |
| Performance assessment and working fluid selection for novel integrated vapor compression cycle and organic rankine cycle for ultra low grade waste heat recovery M Asim, F Kashif, J Umer, JZ Alvi, M Imran, S Khan, AW Zia, MKH Leung Sustainability 13 (21), 11592, 2021 | 9 | 2021 |
| Human expression recognition using facial shape based Fourier descriptors fusion AR Shahid, S Khan, H Yan Twelfth International Conference on machine vision (ICMV 2019) 11433, 180-186, 2020 | 9 | 2020 |
| Optimal planning of residential microgrids based on multiple demand response programs using ABC algorithm HUR Habib, A Waqar, AK Junejo, MM Ismail, M Hossen, M Jahangiri, ... IEEE Access 10, 116564-116626, 2022 | 8 | 2022 |
| Optimal placement and sizing problem for power loss minimization and voltage profile improvement of distribution networks under seasonal loads using Harris hawks optimizer HUR Habib, A Waqar, S Sohail, AK Junejo, MF Elmorshedy, S Khan, ... International Transactions on Electrical Energy Systems 2022, 2022 | 6 | 2022 |
| CartiMorph: A framework for automated knee articular cartilage morphometrics Y Yao, J Zhong, L Zhang, S Khan, W Chen Medical Image Analysis 91, 103035, 2024 | 1 | 2024 |
| Cross modality generative learning framework for anatomical transitive Magnetic Resonance Imaging (MRI) from Electrical Impedance Tomography (EIT) image Z Wang, M Nawaz, S Khan, P Xia, M Irfan, EC Wong, R Chan, P Cao Computerized Medical Imaging and Graphics 108, 102272, 2023 | 1 | 2023 |
| Survival prediction of lung cancer patients by integration of clinical and molecular features using machine learning SA Basit, R Qureshi, AR Shahid, S Khan 2021 15th International Conference on Open Source Systems and Technologies …, 2021 | 1 | 2021 |
| Multipath CNN with alpha matte inference for knee tissue segmentation from MRI S Khan, B Azam, Y Yao, W Chen arXiv preprint arXiv:2109.14249, 2021 | 1 | 2021 |
