| Predicting Academic Performance of Students from VLE Big Data using Deep Learning Models H Waheed, SU Hassan, NR Aljohani, J Hardman, S Nawaz, Alelyani, ... Computers in Human Behavior, 2020 | 456 | 2020 |
| A bibliometric study of the world’s research activity in sustainable development and its sub-areas using scientific literature SU Hassan, P Haddawy, J Zhu Scientometrics 99, 549-579, 2014 | 161 | 2014 |
| Basic texts of the 2003 convention for the safeguarding of the intangible cultural heritage I Unesco Unesco, 2020 | 153* | 2020 |
| Measuring social media activity of scientific literature: An exhaustive comparison of scopus and novel altmetrics big data SU Hassan, M Imran, U Gillani, NR Aljohani, TD Bowman, F Didegah Scientometrics 113, 1037-1057, 2017 | 102 | 2017 |
| A Bibliometric Perspective of Learning Analytics Research Landscape H Waheed, SU Hassan, NR Aljohani, M Wasif Behavior & Information Technology, 2018 | 95 | 2018 |
| Virtual Learning Environment to Predict Withdrawal by Leveraging Deep Learning SU Hassan, H Waheed, NR Aljohani, M Ali, S Ventura, F Herrera International Journal of Intelligent Systems, 2019 | 93 | 2019 |
| A bibliometric assessment of scientific productivity and international collaboration of the Islamic World in science and technology (S&T) areas R Sarwar, SU Hassan Scientometrics 105 (2), 1059-1077, 2015 | 83 | 2015 |
| Deep Sentiments in Roman Urdu Text using Recurrent Convolutional Neural Network Model Z Mahmood, I Safder, RMA Nawab, F Bukhari, R Nawaz, AS Alfakeeh, ... Information Processing & Management, 2020 | 79 | 2020 |
| Predicting At-risk students using clickstream data in the Virtual Learning Environment NR Aljohani, A Fayoumi, SU Hassan Sustainability, 2019 | 79 | 2019 |
| Deep Learning-based Extraction of Algorithmic Metadata in Full-Text Scholarly Documents I Safder, SU Hassan, A Visvizi, T Noraset, R Nawaz, S Tuarob Information Processing and Management, 2020 | 77 | 2020 |
| A Novel Machine-Learning Approach to Measuring Scientific Knowledge Flows Using Citation Context Analysis SU Hassan, I Safder, A Akarm, F Kamiran Scientometrics, 2018 | 75 | 2018 |
| Deep Context of Citations Using Machine-Learning Models in Scholarly Full-text Articles SU Hassan, M Imran, S Iqbal, NR Aljohani, R Nawaz Scientometrics, 2018 | 73 | 2018 |
| Predicting literature’s early impact with sentiment analysis in Twitter SU Hassan, NR Aljohani, N Idrees, R Sarwar, R Nawaz, ... Knowledge-based System, 2019 | 70 | 2019 |
| A Bibliometric Analysis of Publications in Computer Networking Research W Iqbal, J Qadir, G Tyson, AN Mian, SU Hassan, J Crowcroft Scientometrics, 2019 | 66 | 2019 |
| Identifying Important Citations using Contextual Information from Full Text SU Hassan, A Akram, P Haddawy ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL), 2017 | 66 | 2017 |
| A bibliometric study of research activity in ASEAN related to the EU in FP7 priority areas SU Hassan, P Haddawy, P Kuinkel, A Degelsegger, C Blasy Scientometrics 91 (3), 1035-1051, 2012 | 63 | 2012 |
| Measuring international knowledge flows and scholarly impact of scientific research SU Hassan, P Haddawy Scientometrics 94, 163-179, 2013 | 62 | 2013 |
| Mining Network-Level Properties of Twitter Altmetrics Data A Said, TD Bowman, RA Abbasi, NR Aljohani, SU Hassan, R Nawaz Scientometrics, 2019 | 60 | 2019 |
| Analyzing knowledge flows of scientific literature through semantic links: a case study in the field of energy SU Hassan, P Haddawy Scientometrics 103 (1), 33-46, 2015 | 59 | 2015 |
| A Decade of In-text Citation Analysis based on Natural Language Processing and Machine Learning Techniques: An overview of empirical studies S Iqbal, SU Hassan, NR Aljohani, S Alelyani, R Nawaz, L Bornmann Scientometrics, 2021 | 57 | 2021 |
Raheel Nawaz PFHEA NTFPro Vice Chancellor, Professor of AI, Professor of Digital Education, Staffordshire University在 staffs.ac.uk 的电子邮件经过验证
