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Rising Stars
2025

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Rising Stars

D-Index
40
Citations
3549
World Ranking
675
National Ranking
99

Computer Science

D-Index
39
Citations
3908
World Ranking
9914
National Ranking
4162

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Sinan Q. Salih is affiliated with the IEEE Computer Society in the United States. Their research primarily spans the fields of Engineering, Environmental Science, and Computer Science, with particular focus on subfields such as Artificial Intelligence, Environmental Engineering, Mechanical Engineering, Electrical and Electronic Engineering, and Water Science and Technology.

The scientist's work covers a range of topics, with notable emphasis on Hydrological Forecasting Using AI, Hydrology and Watershed Management Studies, Energy Load and Power Forecasting, Solar Radiation and Photovoltaics, Climate Variability and Models, Machine Learning and Extreme Learning Machines (ELM), and Meteorological Phenomena and Simulations.

Recent publications by Sinan Q. Salih demonstrate an engagement with interdisciplinary approaches blending artificial intelligence with engineering and environmental sciences. Selected papers include:

  • Deep Learning Data-Intelligence Model Based on Adjusted Forecasting Window Scale: Application in Daily Streamflow Simulation, 2020, IEEE Access
  • Prediction of Risk Delay in Construction Projects Using a Hybrid Artificial Intelligence Model, 2020, Sustainability
  • Evolutionary computational intelligence algorithm coupled with self-tuning predictive model for water quality index determination, 2020, Journal of Hydrology
  • Modeling monthly pan evaporation process over the Indian central Himalayas: application of multiple learning artificial intelligence model, 2020, Engineering Applications of Computational Fluid Mechanics
  • Reinforced concrete deep beam shear strength capacity modelling using an integrative bio-inspired algorithm with an artificial intelligence model, 2020, Engineering With Computers

Frequent co-authors include:

  • Zaher Mundher Yaseen
  • Tao Hai
  • Nadhir Al-Ansari
  • Salem Alkhalaf
  • Anurag Malik

Sinan Q. Salih has published multiple works in various reputable venues, with a concentration in:

  • IEEE Access
  • Case Studies in Thermal Engineering
  • Work
  • Complexity
  • Energy Reports

Best Publications

  • Deep Learning Data-Intelligence Model Based on Adjusted Forecasting Window Scale: Application in Daily Streamflow Simulation

    Minglei Fu;Tingchao Fan;Zi'ang Ding;Sinan Q. Salih

  • Prediction of Risk Delay in Construction Projects Using a Hybrid Artificial Intelligence Model

    Zaher Mundher Yaseen;Zainab Hasan Ali;Sinan Q. Salih;Nadhir Al-Ansari

  • Development of multivariate adaptive regression spline integrated with differential evolution model for streamflow simulation

    Zainab Abdulelah Al-Sudani;Sinan Q. Salih;Ahmad sharafati;Zaher Mundher Yaseen

  • A new algorithm for normal and large-scale optimization problems: Nomadic People Optimizer

    Sinan Q. Salih;Sinan Q. Salih;AbdulRahman A. Alsewari

  • Evolutionary computational intelligence algorithm coupled with self-tuning predictive model for water quality index determination

    S.I. Abba;Sinan Jasim Hadi;Saad Sh. Sammen;Sinan Q. Salih;Sinan Q. Salih

  • Modeling monthly pan evaporation process over the Indian central Himalayas: application of multiple learning artificial intelligence model

    Anurag Malik;Anil Kumar;Sungwon Kim;Mahsa H. Kashani

  • River suspended sediment load prediction based on river discharge information: application of newly developed data mining models

    Sinan Q. Salih;Ahmad Sharafati;Khabat Khosravi;Hossam Faris

  • Implementation of evolutionary computing models for reference evapotranspiration modeling: Short review, assessment and possible future research directions

    Wang Jing;Zaher Mundher Yaseen;Shamsuddin Shahid;Mandeep Kaur Saggi

  • Implementation of Univariate Paradigm for Streamflow Simulation Using Hybrid Data-Driven Model: Case Study in Tropical Region

    Zaher Mundher Yaseen;Wan Hanna Melini Wan Mohtar;Ameen Mohammed Salih Ameen;Isa Ebtehaj

  • Thin and sharp edges bodies-fluid interaction simulation using cut-cell immersed boundary method

    Sinan Q. Salih;Mohammed Suleman Aldlemy;Mohammad Rasidi Rasani;A. K. Ariffin

  • Reinforced concrete deep beam shear strength capacity modelling using an integrative bio-inspired algorithm with an artificial intelligence model

    Guangnan Zhang;Zainab Hasan Ali;Mohammed Suleman Aldlemy;Mohamed H. Mussa

  • Prediction of evaporation in arid and semi-arid regions : a comparative study using different machine learning models

    Zaher Mundher Yaseen;Anas Mahmood Al-Juboori;Ufuk Beyaztas;Nadhir Al-Ansari

  • Non-Linear Input Variable Selection Approach Integrated With Non-Tuned Data Intelligence Model for Streamflow Pattern Simulation

    Sinan Jasim Hadi;Sani Isah Abba;Saad Sh. Sammen;Sinan Q. Salih

  • Shear strength of SFRCB without stirrups simulation: implementation of hybrid artificial intelligence model

    Abeer A. Al-Musawi;Afrah A. H. Alwanas;Sinan Q. Salih;Zainab Hasan Ali

  • Global solar radiation prediction over North Dakota using air temperature : Development of novel hybrid intelligence model

    Hai Tao;Ahmed A. Ewees;Ahmed A. Ewees;Ali Omran Al-Sulttani;Ufuk Beyaztas

  • An Enhanced Version of Black Hole Algorithm via Levy Flight for Optimization and Data Clustering Problems

    Haneen A. Abdulwahab;Ahmad Noraziah;Abdul Rahman Ahmed Mohammed Al-Sewari;Sinan Q. Salih

  • Load-carrying capacity and mode failure simulation of beam-column joint connection: application of self-tuning machine learning model

    Afrah Abdulelah Hamzah Alwanas;Abeer A. Al-Musawi;Sinan Q. Salih;Hai Tao

  • Hourly River Flow Forecasting: Application of Emotional Neural Network Versus Multiple Machine Learning Paradigms

    Zaher Mundher Yaseen;Sujay Raghavendra Naganna;Zulfaqar Sa’adi;Pijush Samui

  • Global Solar Radiation Estimation and Climatic Variability Analysis Using Extreme Learning Machine Based Predictive Model

    Tao Hai;Ahmad Sharafati;Achite Mohammed;Sinan Q. Salih

  • Efficiency evaluation of reverse osmosis desalination plant using hybridized multilayer perceptron with particle swarm optimization.

    Mohammad Ehteram;Sinan Q. Salih;Zaher Mundher Yaseen

  • Input attributes optimization using the feasibility of genetic nature inspired algorithm: Application of river flow forecasting.

    Haitham Abdulmohsin Afan;Mohammed Falah Allawi;Amr El-Shafie;Zaher Mundher Yaseen

Frequent Co-Authors

Zaher Mundher Yaseen
Zaher Mundher Yaseen King Fahd University of Petroleum and Minerals
Nadhir Al-Ansari
Nadhir Al-Ansari Luleå University of Technology
Shamsuddin Shahid
Shamsuddin Shahid University of Technology Malaysia
Ozgur Kisi
Ozgur Kisi Technical University of Applied Sciences Lübeck
Kwok-wing Chau
Kwok-wing Chau Hong Kong Polytechnic University
Mumtaz Ali
Mumtaz Ali University of Southern Queensland
Ahmed A. Ewees
Ahmed A. Ewees Damietta University
Vijay P. Singh
Vijay P. Singh Texas A&M University
Zakirul Alam Bhuiyan
Zakirul Alam Bhuiyan Fordham University
Isa Ebtehaj
Isa Ebtehaj Université Laval

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