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Saeed‐Ul Hassan

Biographic Data

ID6936532
NAMESaeed‐Ul Hassan
GIVEN NAMESSaeed‐Ul
FAMILY NAMEHassan
SIGNATUREHASSAN S U
AFFILIATIONSInformation Technology University
ORCID0000-0002-6509-9190
VERIFIEDYes
TOTAL WORKS13
TOTAL CITATIONS1
AUTHOR COUNT13
EDITOR COUNT0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2024
H-INDEX1
  • MSDGSD

    Open Access•Muhammad Ali, Anwar Said et al.•ARTICLE•IEEE Transactions on Computational…•2024

    Graph representation methods have recently become the de facto standard for downstream machine learning tasks on graph-structured data and have found numerous applications, e.g., drug discovery & development, recommendation, and forecasting. However, the existing methods are specially designed to work in a centralized environment, which limits their applicability to small or medium-sized graphs. In this work, we present a graph embedding method t…

  • From mega-events hosting to scientific leadership

    Open Access•Sajad Gholampour, Behzad Gholampour et al.•ARTICLE•Cogent Social Sciences•2023

    Mega-events have always been an attractive topic for sports management academics. We used scientometric software packages to look at the studies on this topic that have been added to the Web of Science database in the last 68 years. Not only did we give an overview of the background information of the researchers, the status of their collaborations, and the countries and institutions they represented, but we also pointed out active and influentia…

  • Learning analytics and assessment

    Open Access•Mladen Rakovic, Dragan Gašević et al.•ARTICLE•British Journal of Educational…•2023

  • Data driven smart policing

    Open Access•Abinta Mehmood Mir, Ali Hassan et al.•ARTICLE•Computers in Human Behavior•2022

  • Enhancing citation recommendation using citation network embedding

    Open Access•Chanathip Pornprasit, Xin Liu et al.•ARTICLE•Scientometrics•2022

  • Demonstrating and negotiating the adoption of web design technologies

    Open Access•Derren Wilson, Saeed‐Ul Hassan et al.•ARTICLE•Internet Histories•2022•Cited by: 1•References: 4

    Cascading Style Sheets (CSS) express the visual design of a website through code and remain an understudied area of web history. Although CSS was proposed as a method of adding a design layer to HTML documents early on in the development of the web, they only crossed from a marginal position to mainstream usage after a long period of proselytising by web designers working towards “web standards”. The CSS Zen Garden grassroots initiative aimed at …

  • An in-text citation classification predictive model for a scholarly search system

    Open Access•Naif Radi Aljohani, Ayman Fayoumi et al.•ARTICLE•Scientometrics•2021

  • A decade of in-text citation analysis based on natural language processing and machine learning techniques

    Open Access•Sehrish Iqbal, Saeed‐Ul Hassan et al.•ARTICLE•Scientometrics•2021

    In-text citation analysis is one of the most frequently used methods in research evaluation. We are seeing significant growth in citation analysis through bibliometric metadata, primarily due to the availability of citation databases such as the Web of Science, Scopus, Google Scholar, Microsoft Academic, and Dimensions. Due to better access to full-text publication corpora in recent years, information scientists have gone far beyond traditional b…

  • Webometrics

    Open Access•Raheem Sarwar, Afifa Zia et al.•ARTICLE•Scientometrics•2021

  • Predicting academic performance of students from VLE big data using deep learning models

    Open Access•Hajra Waheed, Saeed‐Ul Hassan et al.•ARTICLE•Computers in Human Behavior•2020

  • Can social media usage of scientific literature predict journal indices of AJG, SNIP and JCR? An altmetric study of economics

    Open Access•Dorte Drongstrup, Shafaq Malik et al.•ARTICLE•Scientometrics•2020

  • Tweet Coupling

    Open Access•Saeed‐Ul Hassan, Saeed-Ul Hassan et al.•ARTICLE•Scientometrics•2020

  • Introducing the ‘alt-index’ for measuring the social visibility of scientific research

    Open Access•Saeed‐Ul Hassan, Saeed-Ul Hassan et al.•ARTICLE•Scientometrics•2020

  • Demonstrating and negotiating the adoption of web design technologies

    Open Access•Derren Wilson, Saeed‐Ul Hassan et al.•ARTICLE•Internet Histories•2022•Cited by: 1•References: 4

    Cascading Style Sheets (CSS) express the visual design of a website through code and remain an understudied area of web history. Although CSS was proposed as a method of adding a design layer to HTML documents early on in the development of the web, they only crossed from a marginal position to mainstream usage after a long period of proselytising by web designers working towards “web standards”. The CSS Zen Garden grassroots initiative aimed at …

  • Predicting academic performance of students from VLE big data using deep learning models

    Open Access•Hajra Waheed, Saeed‐Ul Hassan et al.•ARTICLE•Computers in Human Behavior•2020

  • Can social media usage of scientific literature predict journal indices of AJG, SNIP and JCR? An altmetric study of economics

    Open Access•Dorte Drongstrup, Shafaq Malik et al.•ARTICLE•Scientometrics•2020

  • Tweet Coupling

    Open Access•Saeed‐Ul Hassan, Saeed-Ul Hassan et al.•ARTICLE•Scientometrics•2020

  • Introducing the ‘alt-index’ for measuring the social visibility of scientific research

    Open Access•Saeed‐Ul Hassan, Saeed-Ul Hassan et al.•ARTICLE•Scientometrics•2020

  • An in-text citation classification predictive model for a scholarly search system

    Open Access•Naif Radi Aljohani, Ayman Fayoumi et al.•ARTICLE•Scientometrics•2021

  • A decade of in-text citation analysis based on natural language processing and machine learning techniques

    Open Access•Sehrish Iqbal, Saeed‐Ul Hassan et al.•ARTICLE•Scientometrics•2021

    In-text citation analysis is one of the most frequently used methods in research evaluation. We are seeing significant growth in citation analysis through bibliometric metadata, primarily due to the availability of citation databases such as the Web of Science, Scopus, Google Scholar, Microsoft Academic, and Dimensions. Due to better access to full-text publication corpora in recent years, information scientists have gone far beyond traditional b…

  • Webometrics

    Open Access•Raheem Sarwar, Afifa Zia et al.•ARTICLE•Scientometrics•2021

  • Data driven smart policing

    Open Access•Abinta Mehmood Mir, Ali Hassan et al.•ARTICLE•Computers in Human Behavior•2022

  • Enhancing citation recommendation using citation network embedding

    Open Access•Chanathip Pornprasit, Xin Liu et al.•ARTICLE•Scientometrics•2022

  • Demonstrating and negotiating the adoption of web design technologies

    Open Access•Derren Wilson, Saeed‐Ul Hassan et al.•ARTICLE•Internet Histories•2022•Cited by: 1•References: 4

    Cascading Style Sheets (CSS) express the visual design of a website through code and remain an understudied area of web history. Although CSS was proposed as a method of adding a design layer to HTML documents early on in the development of the web, they only crossed from a marginal position to mainstream usage after a long period of proselytising by web designers working towards “web standards”. The CSS Zen Garden grassroots initiative aimed at …

  • From mega-events hosting to scientific leadership

    Open Access•Sajad Gholampour, Behzad Gholampour et al.•ARTICLE•Cogent Social Sciences•2023

    Mega-events have always been an attractive topic for sports management academics. We used scientometric software packages to look at the studies on this topic that have been added to the Web of Science database in the last 68 years. Not only did we give an overview of the background information of the researchers, the status of their collaborations, and the countries and institutions they represented, but we also pointed out active and influentia…

  • Learning analytics and assessment

    Open Access•Mladen Rakovic, Dragan Gašević et al.•ARTICLE•British Journal of Educational…•2023

  • MSDGSD

    Open Access•Muhammad Ali, Anwar Said et al.•ARTICLE•IEEE Transactions on Computational…•2024

    Graph representation methods have recently become the de facto standard for downstream machine learning tasks on graph-structured data and have found numerous applications, e.g., drug discovery & development, recommendation, and forecasting. However, the existing methods are specially designed to work in a centralized environment, which limits their applicability to small or medium-sized graphs. In this work, we present a graph embedding method t…

Computer Science (12 works) · World Wide Web (9 works) · Data science (8 works) · Information retrieval (6 works) · Citation (5 works) · Complex Network Analysis Techniques (5 works) · Artificial Intelligence (4 works) · Political science (4 works) · scientometrics and bibliometrics research (4 works) · Web visibility and informetrics (4 works)

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