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2025
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Engineering and Technology
Saudi Arabia
2026

D-Index & Metrics

Rising Stars

D-Index
80
Citations
20630
World Ranking
26
National Ranking
2

Engineering and Technology

D-Index
87
Citations
22608
World Ranking
348
National Ranking
4

Research.com Recognitions

  • 2026 - Research.com Engineering and Technology in Saudi Arabia Leader Award
  • 2025 - Research.com Engineering and Technology in Saudi Arabia Leader Award
  • 2025 - Research.com Rising Stars Award

Overview

Zaher Mundher Yaseen is affiliated with King Fahd University of Petroleum and Minerals in Saudi Arabia. Their research primarily focuses on Environmental Science and Engineering, with significant contributions across subfields such as Environmental Engineering, Global and Planetary Change, Water Science and Technology, Civil and Structural Engineering, and Electrical and Electronic Engineering.

The scientist's work emphasizes topics related to hydrology and environmental modeling. Key areas include Hydrological Forecasting Using AI, Hydrology and Watershed Management Studies, Hydrology and Drought Analysis, Energy Load and Power Forecasting, Flood Risk Assessment and Management, Climate Variability and Models, and Nanofluid Flow and Heat Transfer.

Frequent coauthors collaborating with Zaher Mundher Yaseen are:

  • Shamsuddin Shahid
  • Mehdi Jamei
  • Raad Z. Homod
  • Omer A. Alawi
  • Nadhir Al-Ansari

Yaseen has published extensively in several journals. The most frequent publication venues include:

  • Scientific Reports
  • Journal of Hydrology
  • Environmental Science and Pollution Research
  • Theoretical and Applied Climatology
  • Sustainability

Prominent recent papers authored by Yaseen include:

  • A survey on river water quality modelling using artificial intelligence models: 2000-2020 (2020), Journal of Hydrology
  • Groundwater level prediction using machine learning models: A comprehensive review (2022), Neurocomputing
  • River water quality index prediction and uncertainty analysis: A comparative study of machine learning models (2020), Journal of Environmental Chemical Engineering
  • An insight into machine learning models era in simulating soil, water bodies and adsorption heavy metals: Review, challenges and solutions (2021), Chemosphere
  • Streamflow prediction using an integrated methodology based on convolutional neural network and long short-term memory networks (2021), Scientific Reports

In addition to journal articles, Yaseen has contributed to books published by Springer International Publishing and the University of Southern Queensland. Notable titles include "Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation" (2020) and "Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation" (2021).

Best Publications

  • An enhanced extreme learning machine model for river flow forecasting: State-of-the-art, practical applications in water resource engineering area and future research direction

    Zaher Mundher Yaseen;Sadeq Oleiwi Sulaiman;Ravinesh C. Deo;Kwok Wing Chau

  • A survey on river water quality modelling using artificial intelligence models: 2000–2020

    Tiyasha;Tran Minh Tung;Zaher Mundher Yaseen

  • Artificial intelligence based models for stream-flow forecasting: 2000–2015

    Zaher Mundher Yaseen;Ahmed El-shafie;Ahmed El-shafie;Othman Jaafar;Haitham Abdulmohsin Afan

  • Predicting compressive strength of lightweight foamed concrete using extreme learning machine model

    Zaher Mundher Yaseen;Ravinesh C. Deo;Ameer Hilal;Abbas M. Abd

  • River water quality index prediction and uncertainty analysis: A comparative study of machine learning models

    Seyed Babak Haji Seyed Asadollah;Ahmad Sharafati;Ahmad Sharafati;Davide Motta;Zaher Mundher Yaseen

  • Stream-flow forecasting using extreme learning machines: a case study in a semi-arid region in Iraq

    Zaher Mundher Yaseen;Othman Jaafar;Ravinesh C. Deo;Ozgur Kisi

  • An insight into machine learning models era in simulating soil, water bodies and adsorption heavy metals: Review, challenges and solutions.

    Zaher Mundher Yaseen

  • Novel approach for streamflow forecasting using a hybrid ANFIS-FFA model

    Zaher Mundher Yaseen;Zaher Mundher Yaseen;Isa Ebtehaj;Hossein Bonakdari;Ravinesh C. Deo

  • Streamflow prediction using an integrated methodology based on convolutional neural network and long short-term memory networks.

    Sujan Ghimire;Zaher Mundher Yaseen;Zaher Mundher Yaseen;Aitazaz A. Farooque;Ravinesh C. Deo

  • Application of artificial intelligence (AI) techniques in water quality index prediction: a case study in tropical region, Malaysia

    Mohammed Majeed Hameed;Saadi Shartooh Sharqi;Zaher Mundher Yaseen;Haitham Abdulmohsin Afan

  • Experimental and Numerical Analysis for Earth-Fill Dam Seepage

    Ahmed Mohammed Sami Al-Janabi;Abdul Halim Ghazali;Yousry Mahmoud Ghazaw;Haitham Abdulmohsin Afan

  • Development of artificial intelligence for modeling wastewater heavy metal removal: State of the art, application assessment and possible future research

    Suraj Kumar Bhagat;Tran Minh Tung;Zaher Mundher Yaseen

  • Improving streamflow prediction using a new hybrid ELM model combined with hybrid particle swarm optimization and grey wolf optimization

    Rana Muhammad Adnan;Reham R. Mostafa;Ozgur Kisi;Ozgur Kisi;Zaher Mundher Yaseen;Zaher Mundher Yaseen

  • Pan evaporation prediction using a hybrid multilayer perceptron-firefly algorithm (MLP-FFA) model: case study in North Iran

    M. A. Ghorbani;M. A. Ghorbani;Ravinesh C. Deo;Zaher Mundher Yaseen;Zaher Mundher Yaseen;Mahsa H. Kashani

  • ANN Based Sediment Prediction Model Utilizing Different Input Scenarios

    Haitham Abdulmohsin Afan;Ahmed El-Shafie;Zaher Mundher Yaseen;Mohammed Majeed Hameed

  • Complete ensemble empirical mode decomposition hybridized with random forest and kernel ridge regression model for monthly rainfall forecasts

    Mumtaz Ali;Ramendra Prasad;Yong Xiang;Zaher Mundher Yaseen

  • Statistical modeling and mechanistic pathway for methylene blue dye removal by high surface area and mesoporous grass-based activated carbon using K2CO3 activator

    Ahmed Saud Abdulhameed;Nurul Nadiah Mohd Firdaus Hum;S. Rangabhashiyam;Ali H. Jawad

  • Reference evapotranspiration prediction using hybridized fuzzy model with firefly algorithm: Regional case study in Burkina Faso

    Hai Tao;Lamine Diop;Ansoumana Bodian;Koffi Djaman

  • Precipitation projection using a CMIP5 GCM ensemble model: a regional investigation of Syria

    Rajab Homsi;Mohammed Sanusi Shiru;Shamsuddin Shahid;Tarmizi Ismail

  • 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

  • Genetic programming in water resources engineering: A state-of-the-art review

    Ali Danandeh Mehr;Vahid Nourani;Vahid Nourani;Ercan Kahya;Bahrudin Hrnjica

Frequent Co-Authors

Nadhir Al-Ansari
Nadhir Al-Ansari Luleå University of Technology
Shamsuddin Shahid
Shamsuddin Shahid University of Technology Malaysia
Ozgur Kisi
Ozgur Kisi Ilia State University
Ravinesh C. Deo
Ravinesh C. Deo University of Southern Queensland
Ahmed El-Shafie
Ahmed El-Shafie United Arab Emirates University
Mumtaz Ali
Mumtaz Ali University of Southern Queensland
Chongchong Qi
Chongchong Qi Central South University
Kwok-wing Chau
Kwok-wing Chau Hong Kong Polytechnic University
Behrooz Keshtegar
Behrooz Keshtegar Zabol University
Vijay P. Singh
Vijay P. Singh Texas A&M University

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