Conceptual Quantification of the Dynamicity of Longitudinal Social Networks. - Shahadat Uddin; Mahendra Piraveenan; Arif Khan 001; Babak Amiri (SocialCom, 2013)

Administrative Claim Data to Learn about Effective Healthcare Collaboration and Coordination through Social Network. - Shahadat Uddin; Arif Khan 001; Mahendra Piraveenan (HICSS, 2015)

A topological framework to explore longitudinal social networks. - Shahadat Uddin; Arif Khan 001; Liaquat Hossain; Mahendra Piraveenan; Sven A. Carlsson (Comput. Math. Organ. Theory, 2015)

A Framework to Explore the Knowledge Structure of Multidisciplinary Research Fields. - Shahadat Uddin; Arif Khan 001; Louise A. Baur (CoRR, 2015)

Adapting graph theory and social network measures on healthcare data: a new framework to understand chronic disease progression. - Arif Khan 001; Shahadat Uddin; Uma Srinivasan 001 (ACSW, 2016)

A set of measures to quantify the dynamicity of longitudinal social networks. - Shahadat Uddin; Arif Khan 001; Mahendra Piraveenan (Complex., 2016)

The impact of author-selected keywords on citation counts. - Shahadat Uddin; Arif Khan 001 (J. Informetrics, 2016)

Understanding chronic disease comorbidities from baseline networks: knowledge discovery utilising administrative healthcare data. - Arif Khan 001; Shahadat Uddin; Uma Srinivasan 001 (ACSW, 2017)

Triad Census and Subgroup Analysis of Patient-Sharing Physician Collaborations. - Shahadat Uddin; Md Ekramul Hossain; Arif Khan 001 (IEEE Access, 2018)

Comorbidity network for chronic disease: A novel approach to understand type 2 diabetes progression. - Arif Khan 001; Shahadat Uddin; Uma Srinivasan 001 (Int. J. Medical Informatics, 2018)

Understanding the Comorbidity of Multiple Chronic Diseases Using a Network Approach. - Md Ekramul Hossain; Arif Khan 001; Shahadat Uddin (ACSW, 2019)

Development and exploration of polymedication network from Pharmaceutical and Medicare Benefits Scheme data. - Arif Khan 001; Uma Srinivasan 001; Shahadat Uddin (ACSW, 2019)

Understanding the Progression of Congestive Heart Failure of Type 2 Diabetes Patient Using Disease Network and Hospital Claim Data. - Md Ekramul Hossain; Arif Khan 001; Shahadat Uddin (COMPLEX NETWORKS (2), 2019)

Chronic disease prediction using administrative data and graph theory: The case of type 2 diabetes. - Arif Khan 001; Shahadat Uddin; Uma Srinivasan 001 (Expert Syst. Appl., 2019)

Comparing different supervised machine learning algorithms for disease prediction. - Shahadat Uddin; Arif Khan 001; Md Ekramul Hossain; Mohammad Ali Moni (BMC Medical Informatics Decis. Mak., 2019)

Few research fields play major role in interdisciplinary grant success. - Arif Khan 001; Nazim Choudhury; Shahadat Uddin (Scientometrics, 2019)

Network analytics and machine learning for predictive risk modelling of cardiovascular disease in patients with type 2 diabetes. - Md Ekramul Hossain; Shahadat Uddin; Arif Khan 001 (Expert Syst. Appl., 2021)

Use of Electronic Health Data for Disease Prediction: A Comprehensive Literature Review. - Md Ekramul Hossain; Arif Khan 001; Mohammad Ali Moni; Shahadat Uddin (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Comorbidity and multimorbidity prediction of major chronic diseases using machine learning and network analytics. - Shahadat Uddin; Shangzhou Wang; Haohui Lu; Arif Khan 001; Farshid Hajati; Matloob Khushi (Expert Syst. Appl., 2022)

A machine learning software tool for multiclass classification. - Shangzhou Wang; Haohui Lu; Arif Khan 001; Farshid Hajati; Matloob Khushi; Shahadat Uddin (Softw. Impacts, 2022)

Impact of COVID-19 on Journal Impact Factor. - Shahadat Uddin; Arif Khan 001; Haohui Lu (J. Informetrics, 2023)