Salih Tutun

548 total citations
17 papers, 360 citations indexed

About

Salih Tutun is a scholar working on Artificial Intelligence, Computer Networks and Communications and Sociology and Political Science. According to data from OpenAlex, Salih Tutun has authored 17 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 3 papers in Computer Networks and Communications and 3 papers in Sociology and Political Science. Recurrent topics in Salih Tutun's work include Machine Learning in Healthcare (3 papers), Energy Load and Power Forecasting (3 papers) and Organ Donation and Transplantation (2 papers). Salih Tutun is often cited by papers focused on Machine Learning in Healthcare (3 papers), Energy Load and Power Forecasting (3 papers) and Organ Donation and Transplantation (2 papers). Salih Tutun collaborates with scholars based in United States, Türkiye and France. Salih Tutun's co-authors include Mohammad T. Khasawneh, Abdullah Albizri, Antoine Harfouche, Marina Johnson, Sina Khanmohammadi, Chun-An Chou, Jun Zhuang, Abdulaziz Ahmed, Ning Zhou and Benyamin Khorramdel and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Energy.

In The Last Decade

Salih Tutun

16 papers receiving 343 citations

Peers

Salih Tutun

EEE

MSOR

Yusuke Fukazawa Japan

Yukino Baba Japan

Tibor Bosse Netherlands

Nadjia Kara Canada

Bryan Mesmer United States

Zhenglin Li China

Mario Graff Mexico

Ali Akgündüz Canada

Karl O. Jones United Kingdom

Xun Li China

Yusuke Fukazawa Japan

Salih Tutun

70 ×0.7

37 ×0.5

EEE

25 ×0.4

MSOR

19 ×0.4

18 ×0.4

Citations per year, relative to Salih Tutun Salih Tutun (= 1×) peers Yusuke Fukazawa

Countries citing papers authored by Salih Tutun

Since Specialization

Citations

This map shows the geographic impact of Salih Tutun's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Salih Tutun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Salih Tutun more than expected).

Fields of papers citing papers by Salih Tutun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Salih Tutun. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Salih Tutun. The network helps show where Salih Tutun may publish in the future.

Co-authorship network of co-authors of Salih Tutun

This figure shows the co-authorship network connecting the top 25 collaborators of Salih Tutun. A scholar is included among the top collaborators of Salih Tutun based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Salih Tutun. Salih Tutun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Temizel, Cenk, et al.. (2025). Permeability Prediction Using Vision Transformers. Mathematical and Computational Applications. 30(4). 71–71. 1 indexed citations

Ahmed, Abdulaziz, et al.. (2024). A study of “left against medical advice” emergency department patients: an optimized explainable artificial intelligence framework. Health Care Management Science. 27(4). 485–502. 2 indexed citations

Nguyen, Vu, Minh Q. Phan, Tiantian Wang, et al.. (2024). PTSD Case Detection with Boosting. SHILAP Revista de lepidopterología. 5(3). 508–515.

Tutun, Salih, et al.. (2024). Explainable Artificial Intelligence for Mental Disorder Screening: A Computational Design Science Approach. Journal of Management Information Systems. 41(4). 958–981. 5 indexed citations

Tutun, Salih, et al.. (2023). Management of resource sharing in emergency response using data-driven analytics. Annals of Operations Research. 339(1-2). 663–692. 3 indexed citations

Tutun, Salih, et al.. (2022). An AI-based Decision Support System for Predicting Mental Health Disorders. Information Systems Frontiers. 25(3). 1261–1276. 74 indexed citations

Tutun, Salih, et al.. (2022). A Responsible AI Framework for Mitigating the Ramifications of the Organ Donation Crisis. Information Systems Frontiers. 25(6). 2301–2316. 15 indexed citations

Tutun, Salih, et al.. (2022). Artificial intelligence in energy industry: forecasting electricity consumption through cohort intelligence & adaptive neural fuzzy inference system. RePEc: Research Papers in Economics. 6(1). 59–76. 11 indexed citations

Johnson, Marina, Abdullah Albizri, Antoine Harfouche, & Salih Tutun. (2021). Digital transformation to mitigate emergency situations: increasing opioid overdose survival rates through explainable artificial intelligence. Industrial Management & Data Systems. 123(1). 324–344. 21 indexed citations

10.

Tutun, Salih, et al.. (2021). Understanding and Predicting Organ Donation Outcomes Using Network-based Predictive Analytics. Procedia Computer Science. 185. 185–192. 9 indexed citations

11.

Tutun, Salih, et al.. (2019). Detecting psychological symptom patterns using regularized multinomial logistic regression. 967087. 1 indexed citations

12.

Zhou, Ning, et al.. (2018). Long term forecasting using machine learning methods. 1–5. 30 indexed citations

13.

Tutun, Salih, et al.. (2017). An Outlier-Based Intention Detection for Discovering Terrorist Strategies. Procedia Computer Science. 114. 132–138. 3 indexed citations

14.

Tutun, Salih, et al.. (2017). A new hybrid approach for feature selection and support vector machine model selection based on self-adaptive cohort intelligence. Expert Systems with Applications. 88. 118–131. 54 indexed citations

15.

Tutun, Salih, Mohammad T. Khasawneh, & Jun Zhuang. (2017). New framework that uses patterns and relations to understand terrorist behaviors. Expert Systems with Applications. 78. 358–375. 32 indexed citations

16.

Khanmohammadi, Sina, et al.. (2016). A New Multilevel Input Layer Artificial Neural Network for Predicting Flight Delays at JFK Airport. Procedia Computer Science. 95. 237–244. 55 indexed citations

17.

Tutun, Salih, et al.. (2015). A new forecasting framework for volatile behavior in net electricity consumption: A case study in Turkey. Energy. 93. 2406–2422. 44 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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