| MOOC dropout prediction using machine learning techniques: Review and research challenges F Dalipi, AS Imran, Z Kastrati 2018 IEEE global engineering education conference (EDUCON), 1007-1014, 2018 | 275 | 2018 |
| Sentiment analysis of students’ feedback with NLP and deep learning: A systematic mapping study Z Kastrati, F Dalipi, AS Imran, K Pireva Nuci, MA Wani Applied Sciences 11 (9), 3986, 2021 | 177 | 2021 |
| Security and privacy considerations for IoT application on smart grids: Survey and research challenges F Dalipi, SY Yayilgan 2016 IEEE 4th International Conference on Future Internet of Things and …, 2016 | 131 | 2016 |
| User behaviour analysis on LMS and MOOC K Pireva, AS Imran, F Dalipi 2015 IEEE Conference on e-Learning, e-Management and e-Services (IC3e), 21-26, 2015 | 50 | 2015 |
| Data-driven machine learning model in district heating system for heat load prediction: A comparison study F Dalipi, S Yildirim Yayilgan, A Gebremedhin Applied Computational Intelligence and Soft Computing 2016, 2016 | 46 | 2016 |
| Predicting student dropout in a MOOC: An evaluation of a deep neural network model AS Imran, F Dalipi, Z Kastrati Proceedings of the 2019 5th International Conference on Computing and …, 2019 | 40 | 2019 |
| An analysis of social collaboration and networking tools in elearning AS Imran, K Pireva, F Dalipi, Z Kastrati Learning and Collaboration Technologies: Third International Conference, LCT …, 2016 | 40 | 2016 |
| The Dawn of the Human-Machine Era: A forecast of new and emerging language technologies. D Sayers, R Sousa-Silva, S Höhn, L Ahmedi, K Allkivi-Metsoja, ... | 38 | 2021 |
| Sentiment Analysis of Students’ Feedback in MOOCs: A Systematic Literature Review F Dalipi, K Zdravkova, F Ahlgren Frontiers in Artificial Intelligence 4, 2021 | 36 | 2021 |
| Cutting-edge communication and learning assistive technologies for disabled children: An artificial intelligence perspective K Zdravkova, V Krasniqi, F Dalipi, M Ferati Frontiers in artificial intelligence 5, 970430, 2022 | 35 | 2022 |
| A systematic literature review on blockchain-based systems for academic certificate verification A Rustemi, F Dalipi, V Atanasovski, A Risteski IEEE Access 11, 64679-64696, 2023 | 34 | 2023 |
| Towards understanding the MOOC trend: pedagogical challenges and business opportunities F Dalipi, SY Yayilgan, AS Imran, Z Kastrati Learning and Collaboration Technologies: Third International Conference, LCT …, 2016 | 29 | 2016 |
| Analyzing the speed of combined cryptographic algorithms with secret and public key F Idrizi, F Dalipi, E Rustemi International Journal of Engineering Research and Development 8 (2), 45, 2013 | 27 | 2013 |
| Going digital as a result of COVID-19: Insights from students’ and teachers’ impressions in a Swedish university F Dalipi, P Jokela, Z Kastrati, A Kurti, P Elm International journal of educational research open 3, 100136, 2022 | 26 | 2022 |
| Impact of assistive technologies to inclusive education and independent life of down syndrome persons: a systematic literature review and research agenda V Krasniqi, K Zdravkova, F Dalipi Sustainability 14 (8), 4630, 2022 | 25 | 2022 |
| An analysis of learner experience with MOOCs in mobile and desktop learning environment F Dalipi, AS Imran, F Idrizi, H Aliu Advances in Human Factors, Business Management, Training and Education …, 2017 | 25 | 2017 |
| Rethinking the conventional learning paradigm towards MOOC based flipped classroom learning F Dalipi, A Kurti, K Zdravkova, L Ahmedi 2017 IEEE 16th International Conference on Information Technology Based …, 2017 | 18 | 2017 |
| Learning and collaboration technologies: third international conference, LCT 2016, held as part of HCI International 2016, Toronto, ON, Canada, July 17-22, 2016, proceedings P Zaphiris, A Ioannou Springer, 2016 | 17* | 2016 |
| Analysis of online social networks posts to investigate suspects using SEMCON Z Kastrati, AS Imran, S Yildirim-Yayilgan, F Dalipi Social Computing and Social Media: 7th International Conference, SCSM 2015 …, 2015 | 17 | 2015 |
| What users tweet on NFTs: mining Twitter to understand NFT-related concerns using a topic modeling approach SC Meyns, F Dalipi IEEE Access 10, 117658-117680, 2022 | 15 | 2022 |
Zenun KastratiAssociate Professor, Linnaeus UniversityVerified email at lnu.se
