| Improved feature selection model for big data analytics IM El-Hasnony, SI Barakat, M Elhoseny, RR Mostafa IEEE Access 8, 66989-67004, 2020 | 162 | 2020 |
| Optimized ANFIS model using hybrid metaheuristic algorithms for Parkinson’s disease prediction in IoT environment IM El-Hasnony, SI Barakat, RR Mostafa IEEE Access 8, 119252-119270, 2020 | 90 | 2020 |
| Automatic diabetic retinopathy grading system based on detecting multiple retinal lesions E Abdelmaksoud, S El-Sappagh, S Barakat, T Abuhmed, M Elmogy IEEE Access 9, 15939-15960, 2021 | 80 | 2021 |
| Standardized electronic health record data modeling and persistence: A comparative review A Gamal, S Barakat, A Rezk Journal of biomedical informatics 114, 103670, 2021 | 67 | 2021 |
| A fuzzy decision support system for management of breast cancer AAE Saleh, SE Barakat, AAE Awad International Journal of Advanced Computer Science and Applications 2 (3), 2011 | 59 | 2011 |
| 3d object recognition based on local and global features using point cloud library K Alhamzi, M Elmogy, S Barakat International Journal of Advancements in Computing Technology 7 (3), 43, 2015 | 55 | 2015 |
| A computer-aided diagnosis system for detecting various diabetic retinopathy grades based on a hybrid deep learning technique E AbdelMaksoud, S Barakat, M Elmogy Medical & Biological Engineering & Computing 60 (7), 2015-2038, 2022 | 51 | 2022 |
| Different feature selection for sentiment classification H Arafat, RM Elawady, S Barakat, NM Elrashidy International Journal of Information Science and Intelligent System 1 (3 …, 2014 | 43 | 2014 |
| Deep Learning: Effective tool for big data analytics NM Elaraby, M Elmogy, S Barakat International Journal of Computer Science Engineering (IJCSE) 9, 2016 | 42 | 2016 |
| Leveraging mist and fog for big data analytics in IoT environment IM El‐Hasnony, RR Mostafa, M Elhoseny, SI Barakat Transactions on Emerging Telecommunications Technologies 32 (7), e4057, 2021 | 41 | 2021 |
| Medical images analysis based on multilabel classification EAA Maksoud, S Barakat, M Elmogy Machine Learning in Bio-Signal Analysis and Diagnostic Imaging, 209-245, 2019 | 32 | 2019 |
| Big data on internet of things: applications, architecture, technologies, techniques, and future directions H Aly, M Elmogy, S Barakat Int. J. Comput. Sci. Eng 4 (6), 300-3013, 2015 | 32 | 2015 |
| Android malware classification based on random vector functional link and artificial Jellyfish Search optimizer ET Elkabbash, RR Mostafa, SI Barakat PloS one 16 (11), e0260232, 2021 | 28 | 2021 |
| Ontology-based electronic health record semantic interoperability: A survey E Adel, S El-Sappagh, S Barakat, M Elmogy U-healthcare monitoring systems, 315-352, 2019 | 28 | 2019 |
| A comprehensive diagnosis system for early signs and different diabetic retinopathy grades using fundus retinal images based on pathological changes detection E AbdelMaksoud, S Barakat, M Elmogy Computers in Biology and Medicine 126, 104039, 2020 | 26 | 2020 |
| Distributed electronic health record based on semantic interoperability using fuzzy ontology: a survey E Adel, S El-Sappagh, S Barakat, M Elmogy International Journal of Computers and Applications 40 (4), 223-241, 2018 | 25 | 2018 |
| 3D object recognition based on image features: a survey K Alhamzi, M Elmogy, S Barakat International Journal of Computer and Information Technology 3 (03), 651-660, 2014 | 22 | 2014 |
| A comprehensive fuzzy ontology-based decision support system for Alzheimer’s disease diagnosis N Shoaip, A Rezk, S El-Sappagh, L Alarabi, S Barakat, MM Elmogy IEEE Access 9, 31350-31372, 2020 | 21 | 2020 |
| A conditional GAN-based approach for enhancing transfer learning performance in few-shot HCR tasks N Elaraby, S Barakat, A Rezk Scientific reports 12 (1), 16271, 2022 | 20 | 2022 |
| A unified fuzzy ontology for distributed electronic health record semantic interoperability E Adel, S El-Sappagh, S Barakat, M Elmogy U-Healthcare Monitoring Systems, 353-395, 2019 | 19 | 2019 |
