Salih Tutun

Salih Tutun

Washington University in St. Louis

H-index: 9

North America-United States

About Salih Tutun

Salih Tutun, With an exceptional h-index of 9 and a recent h-index of 9 (since 2020), a distinguished researcher at Washington University in St. Louis, specializes in the field of Business Analytics, Explainable AI, Deep Reinforcement Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Digital transformation to mitigate emergency situations: increasing opioid overdose survival rates through explainable artificial intelligence

Artificial intelligence in energy industry: forecasting electricity consumption through cohort intelligence & adaptive neural fuzzy inference system

A Responsible AI Framework for Mitigating the Ramifications of the Organ Donation Crisis

Forecasting Teeth Cavities By Convolutional Neural Network

A Study of Left Before Treatment Complete Emergency Department Patients: An Optimized Explanatory Machine Learning Framework

An AI-based Decision Support System for Predicting Mental Health Disorders

An Intelligent Psychiatric Recommendation System for Detecting Mental Disorders

Understanding and Predicting Organ Donation Outcomes Using Network-based Predictive Analytics

Salih Tutun Information

University

Position

___

Citations(all)

404

Citations(since 2020)

334

Cited By

186

hIndex(all)

9

hIndex(since 2020)

9

i10Index(all)

9

i10Index(since 2020)

8

Email

University Profile Page

Washington University in St. Louis

Google Scholar

View Google Scholar Profile

Salih Tutun Skills & Research Interests

Business Analytics

Explainable AI

Deep Reinforcement Learning

Top articles of Salih Tutun

Title

Journal

Author(s)

Publication Date

Digital transformation to mitigate emergency situations: increasing opioid overdose survival rates through explainable artificial intelligence

Industrial Management & Data Systems

Marina Johnson

Abdullah Albizri

Antoine Harfouche

Salih Tutun

2023/2/3

Artificial intelligence in energy industry: forecasting electricity consumption through cohort intelligence & adaptive neural fuzzy inference system

Journal of Business Analytics

Salih Tutun

Ali Tosyali

Hossein Sangrody

Mohammad Khasawneh

Marina Johnson

...

2023/1/2

A Responsible AI Framework for Mitigating the Ramifications of the Organ Donation Crisis

Information Systems Frontiers

Salih Tutun

Antoine Harfouche

Abdullah Albizri

Marina E Johnson

Haiyue He

2023/12

Forecasting Teeth Cavities By Convolutional Neural Network

Tiantian Wang

Muhammad Aqeel

Payam Norouzzadeh

Salih Tutun

Eli Snir

...

2023/6/5

A Study of Left Before Treatment Complete Emergency Department Patients: An Optimized Explanatory Machine Learning Framework

arXiv preprint arXiv:2212.11879

Abdulaziz Ahmed

Khalid Y Aram

Salih Tutun

2022/12/22

An AI-based Decision Support System for Predicting Mental Health Disorders

Information Systems Frontiers

Salih Tutun

Marina E Johnson

Abdulaziz Ahmed

Abdullah Albizri

Sedat Irgil

...

2023/6

An Intelligent Psychiatric Recommendation System for Detecting Mental Disorders

Esma Nur Ucar

Sedat Irgil

Salih Tutun

Nilay Aras

Ilker Yesilkaya

2022

Understanding and Predicting Organ Donation Outcomes Using Network-based Predictive Analytics

Procedia Computer Science

MD Ehsan Khan

Salih Tutun

2021/1/1

See List of Professors in Salih Tutun University(Washington University in St. Louis)

Co-Authors

H-index: 16
Haifeng Wang

Haifeng Wang

Mississippi State University

H-index: 14
Mahdi Motalleb

Mahdi Motalleb

Massachusetts Institute of Technology

H-index: 11
Benjamin Khorramdel

Benjamin Khorramdel

University of Saskatchewan

H-index: 10
Marina E. Johnson

Marina E. Johnson

Montclair State University

H-index: 9
Sina Khanmohammadi

Sina Khanmohammadi

Washington University in St. Louis

H-index: 9
Abdullah Albizri

Abdullah Albizri

Montclair State University

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