Naif R. Aljohani

发表

SPedia: A Semantics Based Repository of Scientific Publications Data

Muhammad Ahtisham Aslam, Naif R. Aljohani, 2016, WAIM.

Word cloud segmentation for simplified exploration of trending topics on Twitter

Jalal S. Alowibdi, Naif R. Aljohani, Nabila Shahid, 2017, IET Softw..

Human behavior analysis in the production and consumption of scientific knowledge across regions: A case study on publications in Scopus

Miltiadis D. Lytras, Saeed-Ul Hassan, Naif R. Aljohani, 2017, Libr. Hi Tech.

Deep context of citations using machine-learning models in scholarly full-text articles

Saeed-Ul Hassan, Raheel Nawaz, Sehrish Iqbal, 2018, Scientometrics.

Learner-battery interaction in energy-aware learning multimedia systems

David E. Millard, Bashir M. Al-Hashimi, Naif R. Aljohani, 2014, MUM.

A framework to evaluate the interoperability of information systems - Measuring the maturity of the business process alignment

Miltiadis D. Lytras, Saeed-Ul Hassan, Raheel Nawaz, 2020, Int. J. Inf. Manag..

Significance of Learning Analytics in Enhancing the Mobile and Pervasive Learning Environments

Hugh C. Davis, Naif R. Aljohani, H. Davis, 2012, 2012 Sixth International Conference on Next Generation Mobile Applications, Services and Technologies.

A bibliometric perspective of learning analytics research landscape

Saeed-Ul Hassan, Naif R. Aljohani, Muhammad Wasif, 2018, Behav. Inf. Technol..

Quality Classification of Scientific Publications Using Hybrid Summarization Model

Ali Daud, Saeed-Ul Hassan, Naif R. Aljohani, 2018, ICADL.

The Satisfaction of Saudi Customers Toward Mobile Banking in Saudi Arabia and the United Kingdom

Naif R. Aljohani, Md. Rakibul Hoque, Sultan Al-Otaibi, 2018, J. Glob. Inf. Manag..

HCI as a Differentiator between Mobile and Ubiquitous Learning

Hugh C. Davis, Thanassis Tiropanis, Naif R. Aljohani, 2011, 2011 Fifth International Conference on Next Generation Mobile Applications, Services and Technologies.

Content-Aware Power Saving Multimedia Adaptation for Mobile Learning

Bashir M. Al-Hashimi, David E. Millard, Naif R. Aljohani, 2013, 2013 Seventh International Conference on Next Generation Mobile Apps, Services and Technologies.

Region-wise Ranking of Sports Players based on Link Fusion

Ali Daud, Tehmina Amjad, Rabeeh Ayaz Abbasi, 2018, WWW.

Energy-Aware Adaptation of Educational Multimedia in Mobile Learning

David E. Millard, Bashir M. Al-Hashimi, Naif R. Aljohani, 2013, MoMM '13.

CC-GA: A clustering coefficient based genetic algorithm for detecting communities in social networks

Ali Daud, Rabeeh Ayaz Abbasi, Anwar Said, 2018, Appl. Soft Comput..

Hyperrectangles Selection for Monotonic Classification by Using Evolutionary Algorithms

José Ramón Cano, Salvador García, Naif R. Aljohani, 2016, Int. J. Comput. Intell. Syst..

Energy-Aware Streaming Multimedia Adaptation: An Educational Perspective

David E. Millard, Bashir M. Al-Hashimi, Naif R. Aljohani, 2014, MoMM.

Post Summarization of Microblogs of Sporting Events

Jalal S. Alowibdi, Naif R. Aljohani, Muhammad U. Ilyas, 2017, WWW.

Saving lives using social media: Analysis of the role of twitter for personal blood donation requests and dissemination

Mubashar Mushtaq, Ali Daud, Rabeeh Ayaz Abbasi, 2017, Telematics Informatics.

Prototype selection to improve monotonic nearest neighbor

José Ramón Cano, Salvador García, Rabeeh Ayaz Abbasi, 2017, Eng. Appl. Artif. Intell..

Connections between e-learning, web science, cognitive computation and social sensing, and their relevance to learning analytics: A preliminary study

Miltiadis D. Lytras, Amir Hussain, Sachi Arafat, 2018, Comput. Hum. Behav..

Influential tweeters in relation to highly cited articles in altmetric big data

Saeed-Ul Hassan, Timothy D. Bowman, Mudassir Shabbir, 2019, Scientometrics.

An integrated framework for course adapted student learning analytics dashboard

Ali Daud, Rabeeh Ayaz Abbasi, Jalal S. Alowibdi, 2019, Comput. Hum. Behav..

Using network science to understand the link between subjects and professions

Ali Daud, Rabeeh Ayaz Abbasi, Muddassar A. Sindhu, 2020, Comput. Hum. Behav..

Ontological Reasoning About Situations from Calendar Events

Jun Han, Alan W. Colman, Muhammad Ashad Kabir, 2016, OTM Conferences.

CommuniMents: A Framework for Detecting Community Based Sentiments for Events

José Ramón Cano, Salvador García, Mubashar Mushtaq, 2017, Int. J. Semantic Web Inf. Syst..

Performance improvement of the parallel smith waterman algorithm implementation using Hybrid MPI-OpenMP model

Iyad Katib, Naif R. Aljohani, Heba Khaled, 2016, 2016 SAI Computing Conference (SAI).

Corrigendum to "Towards Smart Healthcare: Patient Data Privacy and Security in Sensor-Cloud Infrastructure"

Ali Daud, Yongli Wang, Hassan Dawood, 2019, Wirel. Commun. Mob. Comput..

Modelling to identify influential bloggers in the blogosphere: A survey

Hikmat Ullah Khan, Ali Daud, Tehmina Amjad, 2017, Comput. Hum. Behav..

Learning Analytics and Formative Assessment to Provide Immediate Detailed Feedback Using a Student Centered Mobile Dashboard

Hugh C. Davis, Naif R. Aljohani, H. Davis, 2013, 2013 Seventh International Conference on Next Generation Mobile Apps, Services and Technologies.

Learning Analytics in Mobile and Ubiquitous Learning Environments

Hugh C. Davis, Naif R. Aljohani, 2012, mLearn.

Cognitive Computing Track Chairs' Welcome & Organization

Miltiadis D. Lytras, Jiebo Luo, Amir Hussain, 2018, WWW.

Engineering Socially-Aware Systems and Applications

Zhenchang Xing, Shang-Wei Lin, Jun Han, 2016, 2016 21st International Conference on Engineering of Complex Computer Systems (ICECCS).

Predicting Student Performance using Advanced Learning Analytics

Miltiadis D. Lytras, Ali Daud, Rabeeh Ayaz Abbasi, 2017, WWW.

INTWEEMS: a framework for incremental clustering of tweet streams

Mubashar Mushtaq, Rabeeh Ayaz Abbasi, Naif R. Aljohani, 2015, iiWAS.

Finding Rising Stars in Co-Author Networks via Weighted Mutual Influence

Ali Daud, Tehmina Amjad, Rabeeh Ayaz Abbasi, 2017, WWW.

Cross-LAK: learning analytics across physical and digital spaces

Davinia Hernández Leo, Dan Suthers, Hiroaki Ogata, 2016, LAK.

SPedia: A Central Hub for the Linked Open Data of Scientific Publications

Muhammad Ahtisham Aslam, Naif R. Aljohani, M. Aslam, 2017, Int. J. Semantic Web Inf. Syst..

Advanced decision-making in higher education: learning analytics research and key performance indicators

Miltiadis D. Lytras, Patricia Ordóñez de Pablos, Anna Visvizi, 2018, Behav. Inf. Technol..

A Generic Framework for Adding Semantics to Digital Libraries

Miltiadis D. Lytras, Rabeeh Ayaz Abbasi, Muhammad Ashad Kabir, 2016, OTM Workshops.

CrowdyQ: a virtual crowdsourcing platform for question items development in higher education

Naif R. Aljohani, Mohammed Basheri, Wafi Bedewi, 2015, iiWAS.

Privacy management of patient physiological parameters

Yongli Wang, Ali Daud, Hassan Dawood, 2018, Telematics Informatics.

Latent Dirichlet Allocation and POS Tags Based Method for External Plagiarism Detection: LDA and POS Tags Based Plagiarism Detection

Ali Daud, Rabeeh Ayaz Abbasi, Jalal S. Alowibdi, 2018, Int. J. Semantic Web Inf. Syst..

Mining the Context of Citations in Scientific Publications

Saeed-Ul Hassan, Raheel Nawaz, Sehrish Iqbal, 2018, ICADL.

Towards Smart Healthcare: Patient Data Privacy and Security in Sensor-Cloud Infrastructure

Ali Daud, Hassan Dawood, Naif R. Aljohani, 2018, Wirel. Commun. Mob. Comput..

AI Cognition in Searching for Relevant Knowledge from Scholarly Big Data, Using a Multi-layer Perceptron and Recurrent Convolutional Neural Network Model

Saeed-Ul Hassan, Iqra Safder, Naif R. Aljohani, 2018, WWW.

Ranking authors in academic social networks: a survey

Ali Daud, Tehmina Amjad, Naif R. Aljohani, 2018, Libr. Hi Tech.

Who will cite you back? Reciprocal link prediction in citation networks

Ishfaq Ahmad, Waqas Ahmed, Ali Daud, 2017, Libr. Hi Tech.

A comparison between mobile and ubiquitous learning from the perspective of human-computer interaction

Hugh C. Davis, Seng Wai Loke, Naif R. Aljohani, 2012, Int. J. Mob. Learn. Organisation.

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

Salem Alelyani, Saeed-Ul Hassan, Naif Radi Aljohani, 2020, Comput. Hum. Behav..

HTSS: A novel hybrid text summarisation and simplification architecture

Saeed-Ul Hassan, Naif Radi Aljohani, Matthew Shardlow, 2020, Inf. Process. Manag..

Automatic Speech Attribute Detection of Arabic Language

Naif R. Aljohani, Sherif M. Abdou, M. Shahin, 2018 .

Ontology Design for Solving Computationally-Intensive Problems on Heterogeneous Architectures

Naif R. Aljohani, Iyad A. Katib, H. Faheem, 2018 .

Align My Curriculum: A Framework to Bridge the Gap between Acquired University Curriculum and Required Market Skills

Naif R. Aljohani, Ahood I. Almaleh, M. Aslam, 2019, Sustainability.

A challenging case of multisystem inflammatory syndrome in children related to coronavirus Disease-19 hospitalized under adult medical service

Naif R. Aljohani, Mohammed Samannodi, H. Alnashri, 2020, IDCases.

Successful Treatment of Severe Falciparum Malaria With Adjunctive Use of Exchange Transfusion

Naif R. Aljohani, I. Davis, 2013 .

FLF-LSTM: A novel prediction system using Forex Loss Function

Naif R. Aljohani, R. Nawaz, Saeed-Ul Hassan, 2020, Appl. Soft Comput..

Development of Infection Control Surveillance System for Intensive Care Unit: Data Requirements and Guidelines

Naif R. Aljohani, Manal Abumelha, Naif Aljohani, 2016 .

Measuring social media activity of scientific literature: an exhaustive comparison of scopus and novel altmetrics big data

Fereshteh Didegah, Saeed-Ul Hassan, Timothy D. Bowman, 2017, Scientometrics.

Deep recurrent neural networks with word embeddings for Urdu named entity recognition

Ali Daud, Naif Radi Aljohani, Sachi Arafat, 2019, ETRI Journal.

An adaptive doctor-recommender system

Ali Daud, Muhammad Waqar, Nadeem Majeed, 2019, Behav. Inf. Technol..

Deep context of citations using machine-learning models in scholarly full-text articles

Naif R. Aljohani, R. Nawaz, Saeed-Ul Hassan, 2018, Scientometrics.

What’s Happening Around the World? A Survey and Framework on Event Detection Techniques on Twitter

Guandong Xu, Ali Daud, Rabeeh Ayaz Abbasi, 2019, Journal of Grid Computing.

Modelling MOOC learners' social behaviours

Hugh C. Davis, Su White, Rabeeh Ayaz Abbasi, 2020, Comput. Hum. Behav..

Virtual learning environment to predict withdrawal by leveraging deep learning

Francisco Herrera, Sebastián Ventura, Saeed-Ul Hassan, 2019, Int. J. Intell. Syst..

Significance of Semantic Web in Facilitating HCI in Mobile and Ubiquitous Learning

Hugh C. Davis, Naif Radi Aljohani, Naif R. Aljohani, 2011 .

A big data driven framework for demand-driven forecasting with effects of marketing-mix variables

Ravi Shankar, Naif R. Aljohani, Naif Radi Aljohani, 2019 .

Bot prediction on social networks of Twitter in altmetrics using deep graph convolutional networks

Saeed-Ul Hassan, Naif Radi Aljohani, Naif R. Aljohani, 2020, Soft Comput..

The Implementation of Clinical Decision Support System: A Case Study in Saudi Arabia

Naif R. Aljohani, Naif Aljohani, Ahood I. Almaleh, 2016 .

MFS-LDA: a multi-feature space tag recommendation model for cold start problem

Mubashar Mushtaq, Ali Daud, Rabeeh Ayaz Abbasi, 2017, Program.

Saudi-KAU Coupled Global Climate Model: Description and Performance

Naif R. Aljohani, Iyad A. Katib, M. Tippett, 2017, Earth Systems and Environment.

Mining network-level properties of Twitter altmetrics data

Naif R. Aljohani, T. Bowman, R. Nawaz, 2019, Scientometrics.

Exploiting Social Networks of Twitter in Altmetrics Big Data

Saeed-Ul Hassan, Naif Radi Aljohani, Iqra Safder, 2018 .

Cognitive computing, Big Data Analytics and data driven industrial marketing

Miltiadis D. Lytras, Naif Radi Aljohani, Xi Zhang, 2020 .

Linked open data of bibliometric networks: analytics research for personalized library services

Saeed-Ul Hassan, Naif Radi Aljohani, Naif R. Aljohani, 2019, Libr. Hi Tech.

Building scalable and accurate hybrid kernel mapping recommender systems

Mustansar Ali Ghazanfar, Naif Radi Aljohani, Muhammad Awais Azam, 2017, 2017 Intelligent Systems Conference (IntelliSys).

Understanding Student Learning Behavior and Predicting Their Performance

Saeed-Ul Hassan, Naif Radi Aljohani, Naif R. Aljohani, 2019, Cognitive Computing in Technology-Enhanced Learning.

Mining network-level properties of Twitter altmetrics data

Rabeeh Ayaz Abbasi, Saeed-Ul Hassan, Naif Radi Aljohani, 2019, Scientometrics.

Urdu part of speech tagging using conditional random fields

Tehmina Amjad, Jamal Abdul Nasir, Naif Radi Aljohani, 2018, Lang. Resour. Evaluation.

Data analysis to uncover intruder attacks using data mining techniques

Mustansar Ali Ghazanfar, Saima Nazir, Naif Radi Aljohani, 2017, 2017 5th International Conference on Information and Communication Technology (ICoIC7).