Ali Daud

Dados Biográficos

ID8312340
NOMEAli Daud
PRENOMESAli
SOBRENOMEDaud
ASSINATURADAUD A
AFILIAÇÕESUniversity of Jeddah
ORCID0000-0002-8284-6354
VERIFICADOSim
TOTAL DE OBRAS10
TOTAL DE CITAÇÕES0
TOTAL COMO AUTOR10
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2020
ANO MAIS RECENTE DE PUBLICAÇÃO2026
ÍNDICE H0

  • LLM predicts human behavior

    Open AccessAnam Naz, Hikmat Ullah Khan et al.ARTICLEActa Psychologica2026

    Advancements in deep learning have significantly transformed the Natural Language Processing (NLP) domain, enabling machines to understand and analyze human language with remarkable accuracy. One of the emerging applications of NLP is personality prediction, where AI-driven models process textual data to uncover underlying behavioral traits. With the rise of the user-generated content on digital platforms, individuals continuously express their t…

  • Citation Count Is Not Enough

    Open AccessAli Daud, Sehrish Ghaffar et al.ARTICLEIEEE Transactions on Computational…2024

    Qualitative analysis of citations received by a scientific manuscript is a challenging task in the field of citation analysis. In most cases, the existing approaches that involve citations for the scientific impact evaluation normally employ a quantitative parameter, such as the number of received citations, while ignoring the qualitative feature, such as the context of citations, while, in reality, a received citation might hold positive feedbac…

  • Advanced Learning Analytics

    Open AccessTehmina Amjad, Zainab Shaheen et al.ARTICLEIEEE Transactions on Computational…2024

    The use of Massive Online Open Courses (MOOCs) has been noticeably increased in recent times, especially after the COVID-19 pandemic. In the absence of one-to-one interaction with the students, the instructors are no longer able to understand the demands of their students in an intrinsic way. To overcome this problem, the MOOC platforms provide a discussion forum in which students can share their thoughts and problems about the course. The instru…

  • Heading Towards Sub-Discipline Rankings for Higher Education Institutions

    Open AccessMuhammad Sajid Qureshi, Ali Daud et al.ARTICLEIEEE Transactions on Computational…2023

    Although the system for annual rankings of higher education institutions (HEIs) faces considerable criticism, these rankings are here to stay. Having become competent in assigning holistic ranking scores to HEIs, reputed ranking entities have now started focusing on subject-specific and regional rankings. However, in experts’ opinion, the process of assigning rankings should be more consistent, transparent, and representative. This study focuses …

  • Identifying Rising Stars via Supervised Machine Learning

    Open AccessAli Daud, Naveed ul Islam et al.ARTICLEIEEE Transactions on Computational…2023

    Identifying rising stars is very useful for faster growth of any organization. Rising entities has been explored in academics, sports, and blogs in the recent past, but business side is ignored. However, predicting rising business managers (RBMs) can result in significant business growth of any business. In order to maintain a competitive edge, machine learning techniques should be adopted to devise intelligent business strategies and perform pre…

  • Deep learning for journal recommendation system of research papers

    Open AccessEsra Gündoğan, Mehmet Kaya et al.ARTICLEScientometrics2023

  • Citation burst prediction in a bibliometric network

    Open AccessTehmina Amjad, Nafeesa Shahid et al.ARTICLEScientometrics2022

  • Fine-grained academic rankings

    Open AccessMuhammad Sajid Qureshi, Ali DaudARTICLEScientometrics2021

  • Using network science to understand the link between subjects and professions

    Open AccessFarah Haneef, Rabeeh Ayaz Abbasi et al.ARTICLEComputers in Human Behavior2020

  • Finding rising stars in bibliometric networks

    Open AccessAli Daud, Min Song et al.ARTICLEScientometrics2020