Naif Radi Aljohani
Biographic Data
| ID | 6936533 |
|---|---|
| NAME | Naif Radi Aljohani |
| GIVEN NAMES | Naif Radi |
| FAMILY NAME | Aljohani |
| SIGNATURE | ALJOHANI N R |
| AFFILIATIONS | King Abdulaziz University |
| ORCID | 0000-0001-9153-1293 |
| VERIFIED | Yes |
| TOTAL WORKS | 14 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 14 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 1 |
MSDGSD
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…
Do teaching staff trust stakeholders and tools in learning analytics? A mixed methods study
Learning analytics (LA) has gained increasing attention for its potential to improve different educational aspects (e.g., students’ performance and teaching practice). The existing literature identified some factors that are associated with the adoption of LA in higher education, such as stakeholder engagement and transparency in data use. The broad literature on information systems also emphasizes the importance of trust as a critical predictor …
Learning analytics and assessment
In memory of Dr. Saeed Ul Hassan, Associate Professor ( SL ) at Manchester Metropolitan University ( MMU ) UK
Pakistan with a bleeding disorder, haemophilia
Demonstrating and negotiating the adoption of web design technologies
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
A decade of in-text citation analysis based on natural language processing and machine learning techniques
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
Modelling Mooc learners' social behaviours
Predicting academic performance of students from VLE big data using deep learning models
Using network science to understand the link between subjects and professions
Can social media usage of scientific literature predict journal indices of AJG, SNIP and JCR? An altmetric study of economics
Tweet Coupling
Introducing the ‘alt-index’ for measuring the social visibility of scientific research
Demonstrating and negotiating the adoption of web design technologies
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 …
Modelling Mooc learners' social behaviours
Predicting academic performance of students from VLE big data using deep learning models
Using network science to understand the link between subjects and professions
Can social media usage of scientific literature predict journal indices of AJG, SNIP and JCR? An altmetric study of economics
Tweet Coupling
Introducing the ‘alt-index’ for measuring the social visibility of scientific research
An in-text citation classification predictive model for a scholarly search system
A decade of in-text citation analysis based on natural language processing and machine learning techniques
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
Demonstrating and negotiating the adoption of web design technologies
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 …
Do teaching staff trust stakeholders and tools in learning analytics? A mixed methods study
Learning analytics (LA) has gained increasing attention for its potential to improve different educational aspects (e.g., students’ performance and teaching practice). The existing literature identified some factors that are associated with the adoption of LA in higher education, such as stakeholder engagement and transparency in data use. The broad literature on information systems also emphasizes the importance of trust as a critical predictor …
Learning analytics and assessment
In memory of Dr. Saeed Ul Hassan, Associate Professor ( SL ) at Manchester Metropolitan University ( MMU ) UK
Pakistan with a bleeding disorder, haemophilia
MSDGSD
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 (14 works) · Data science (9 works) · World Wide Web (9 works) · Complex Network Analysis Techniques (6 works) · Artificial Intelligence (5 works) · Citation (5 works) · Information retrieval (5 works) · Psychology (5 works) · Learning analytics (4 works) · Online Learning and Analytics (4 works)