| A new multilevel input layer artificial neural network for predicting flight delays at JFK airport S Khanmohammadi, S Tutun, Y Kucuk Procedia Computer Science 95, 237-244, 2016 | 101 | 2016 |
| An AI-based Decision Support System for Predicting Mental Health Disorders AH Salih Tutun, Marina E. Johnson, Abdulaziz Ahmed, Abdullah Albizri, Sedat ... Information Systems Frontiers, 2022 | 100* | 2022 |
| A new hybrid approach for feature selection and support vector machine model selection based on self-adaptive cohort intelligence M Aladeemy, S Tutun, MT Khasawneh Expert Systems with Applications 88, 118-131, 2017 | 76 | 2017 |
| A new forecasting framework for volatile behavior in net electricity consumption: A case study in Turkey S Tutun, CA Chou, E Canıyılmaz Energy 93, 2406-2422, 2015 | 61 | 2015 |
| Long term forecasting using machine learning methods H Sangrody, N Zhou, S Tutun, B Khorramdel, M Motalleb, M Sarailoo 2018 IEEE Power and Energy Conference at Illinois (PECI), 1-5, 2018 | 59 | 2018 |
| New framework that uses patterns and relations to understand terrorist behaviors S Tutun, MT Khasawneh, J Zhuang Expert Systems with Applications 78, 358-375, 2017 | 58 | 2017 |
| Digital transformation to mitigate emergency situations: increasing opioid overdose survival rates through explainable artificial intelligence M Johnson, A Albizri, A Harfouche, S Tutun Industrial Management & Data Systems 123 (1), 324-344, 2023 | 39 | 2023 |
| A MCDM Approach with fuzzy DEMATEL and Fuzzy TOPSIS for 3PL provider selection Ö Bali, S Tutun, A Pala, C Corekci Sigma 32, 222-239, 2014 | 26 | 2014 |
| A responsible AI framework for mitigating the ramifications of the organ donation crisis S Tutun, A Harfouche, A Albizri, ME Johnson, H He Information Systems Frontiers 25 (6), 2301-2316, 2023 | 14 | 2023 |
| A Meta-heuristic LASSO Model for Diabetic Readmission Prediction S Tutun, S Khanmohammadi, L He, CA Chou Industrial & Systems Engineering Research Conference (ISERC), 2016 | 13 | 2016 |
| Artificial intelligence in energy industry: forecasting electricity consumption through cohort intelligence & adaptive neural fuzzy inference system S Tutun, A Tosyali, H Sangrody, M Khasawneh, M Johnson, A Albizri, ... Journal of Business Analytics 6 (1), 59-76, 2023 | 12 | 2023 |
| Understanding and Predicting Organ Donation Outcomes Using Network-based Predictive Analytics MDE Khan, S Tutun Procedia Computer Science 185, 185-192, 2021 | 11 | 2021 |
| Forecasting of short-term wind speed at different heights using comparative forecasting approach E Korkmaz, E Izgi, S Tutun Turkish Journal of Electrical Engineering and Computer Science, 2018 | 6 | 2018 |
| An outlier-based intention detection for discovering terrorist strategies S Tutun, M Akça, Ö Bıyıklı, MT Khasawneh Procedia Computer Science 114, 132-138, 2017 | 4 | 2017 |
| Explainable artificial intelligence for mental disorder screening: A computational design science approach S Tutun, K Topuz, A Tosyali, A Bhattacherjee, G Li Journal of Management Information Systems 41 (4), 958-981, 2024 | 1 | 2024 |
| Management of resource sharing in emergency response using data-driven analytics J Zhang, S Tutun, SF Anvaryazdi, M Amini, D Sundaramoorthi, ... Annals of Operations Research 339 (1), 663-692, 2024 | 1 | 2024 |
| Network topology based anfis detection framework for identifying terrorism threats S Tutun, S Khanmohammadi, CA Chou, Y Kucuk Industrial & Systems Engineering Research Conference (ISERC). Institute of …, 2016 | 1 | 2016 |
| A study of “left against medical advice” emergency department patients: an optimized explainable artificial intelligence framework A Ahmed, KY Aram, S Tutun, D Delen Health Care Management Science, 1-18, 2024 | | 2024 |
| MDSCAN: An Explainable Artificial Intelligence Artifact for Mental Health Screening S Tutun, A Bhattacherjee, K Topuz, A Tosyali, G Li ECIS Conference, Kristiansand, Norway, 2023 | | 2023 |
Marina E. JohnsonMontclair State University, Drexel UniversityVerified email at montclair.edu