Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Daily Water Level Prediction of Zrebar Lake (Iran): A Comparison between M5P, Random Forest, Random Tree and Reduced Error Pruning Trees Algorithms
Viet‐Ha Nhu, Himan Shahabi, Ebrahim Nohani, et al.
ISPRS International Journal of Geo-Information (2020) Vol. 9, Iss. 8, pp. 479-479
Open Access | Times Cited: 68

Showing 1-25 of 68 citing articles:

Flexural and split tensile strength of concrete with basalt fiber: An experimental and computational analysis
Fadi Almohammed, Mohindra Singh Thakur, Daeho Lee, et al.
Construction and Building Materials (2024) Vol. 414, pp. 134936-134936
Closed Access | Times Cited: 18
Predicting water level fluctuations in glacier-fed lakes by ensembling individual models into a quad-meta model
Shoukat Ali Shah, Songtao Ai, Huanxin Yuan
Engineering Applications of Computational Fluid Mechanics (2025) Vol. 19, Iss. 1
Open Access | Times Cited: 1
Drought indicator analysis and forecasting using data driven models: case study in Jaisalmer, India
Ahmed Elbeltagi, Manish Kumar, Nand Lal Kushwaha, et al.
Stochastic Environmental Research and Risk Assessment (2022) Vol. 37, Iss. 1, pp. 113-131
Closed Access | Times Cited: 66
Pre- and post-dam river water temperature alteration prediction using advanced machine learning models
Dinesh Kumar Vishwakarma, Rawshan Ali, Shakeel Ahmad Bhat, et al.
Environmental Science and Pollution Research (2022) Vol. 29, Iss. 55, pp. 83321-83346
Open Access | Times Cited: 41
Forecasting vapor pressure deficit for agricultural water management using machine learning in semi-arid environments
Ahmed Elbeltagi, Aman Srivastava, Jinsong Deng, et al.
Agricultural Water Management (2023) Vol. 283, pp. 108302-108302
Open Access | Times Cited: 33
Machine learning approach for predicting concrete compressive, splitting tensile, and flexural strength with waste foundry sand
Vikas Mehta
Journal of Building Engineering (2023) Vol. 70, pp. 106363-106363
Closed Access | Times Cited: 32
Forecasting of stage-discharge in a non-perennial river using machine learning with gamma test
Dinesh Kumar Vishwakarma, Alban Kuriqi, Salwan Ali Abed, et al.
Heliyon (2023) Vol. 9, Iss. 5, pp. e16290-e16290
Open Access | Times Cited: 28
A systematic literature review on lake water level prediction models
Serkan Özdemir, Muhammad Yaqub, Sevgi Özkan
Environmental Modelling & Software (2023) Vol. 163, pp. 105684-105684
Closed Access | Times Cited: 24
Assessment of groundwater potential and determination of influencing factors using remote sensing and machine learning algorithms: A study of Nainital district of Uttarakhand state, India
Yatendra Sharma, Raihan Ahmed, Tamal Kanti Saha, et al.
Groundwater for Sustainable Development (2024) Vol. 25, pp. 101094-101094
Closed Access | Times Cited: 9
Performance prediction of experimental PEM electrolyzer using machine learning algorithms
Safiye Nur Özdemir, Oğuzhan Pektezel
Fuel (2024) Vol. 378, pp. 132853-132853
Closed Access | Times Cited: 9
River water level prediction in coastal catchment using hybridized relevance vector machine model with improved grasshopper optimization
Tao Hai, Najah Kadhim Al-Bedyry, Khaled Mohamed Khedher, et al.
Journal of Hydrology (2021) Vol. 598, pp. 126477-126477
Closed Access | Times Cited: 48
Prediction of daily water level using new hybridized GS-GMDH and ANFIS-FCM models
Isa Ebtehaj, Saad Sh. Sammen, Lariyah Mohd Sidek, et al.
Engineering Applications of Computational Fluid Mechanics (2021) Vol. 15, Iss. 1, pp. 1343-1361
Open Access | Times Cited: 48
Coupling machine learning with signal process techniques and particle swarm optimization for forecasting flood routing calculations in the Eastern Black Sea Basin, Türkiye
Okan Mert Katipoğlu, Metin Sarıgöl
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 16, pp. 46074-46091
Closed Access | Times Cited: 19
Groundwater levels forecasting using machine learning models: A case study of the groundwater region 10 at Karst Belt, South Africa
Banjo Ayoade Aderemi, Thomas O. Olwal, Julius Musyoka Ndambuki, et al.
Systems and Soft Computing (2023) Vol. 5, pp. 200049-200049
Open Access | Times Cited: 19
A multi-source data-driven model of lake water level based on variational modal decomposition and external factors with optimized bi-directional long short-term memory neural network
Ruiqin Tan, Yuan Hu, Zhaocai Wang
Environmental Modelling & Software (2023) Vol. 167, pp. 105766-105766
Closed Access | Times Cited: 19
Remaining Useful Life Prediction of Lithium-Ion Batteries by Using a Denoising Transformer-Based Neural Network
Yunlong Han, Conghui Li, Linfeng Zheng, et al.
Energies (2023) Vol. 16, Iss. 17, pp. 6328-6328
Open Access | Times Cited: 18
Forecasting Long-Series Daily Reference Evapotranspiration Based on Best Subset Regression and Machine Learning in Egypt
Ahmed Elbeltagi, Aman Srivastava, Abdullah Hassan Al-Saeedi, et al.
Water (2023) Vol. 15, Iss. 6, pp. 1149-1149
Open Access | Times Cited: 17
Proposing an ensemble machine learning based drought vulnerability index using M5P, dagging, random sub-space and rotation forest models
Sunil Saha, Barnali Kundu, Gopal Chandra Paul, et al.
Stochastic Environmental Research and Risk Assessment (2023) Vol. 37, Iss. 7, pp. 2513-2540
Open Access | Times Cited: 16
Enhancing groundwater level prediction accuracy using interpolation techniques in deep learning models
Erfan Abdi, Mumtaz Ali, Celso Augusto Guimarães Santos, et al.
Groundwater for Sustainable Development (2024) Vol. 26, pp. 101213-101213
Closed Access | Times Cited: 6
Improving groundwater quality predictions in semi-arid regions using ensemble learning models
Mojtaba Mahmoudi, Amin Mahdavi‐Meymand, Ammar Aldallal, et al.
Environmental Science and Pollution Research (2025)
Closed Access
Development of Prediction Models for Shear Strength of Rockfill Material Using Machine Learning Techniques
Mahmood Ahmad, Paweł Kamiński, Piotr Olczak, et al.
Applied Sciences (2021) Vol. 11, Iss. 13, pp. 6167-6167
Open Access | Times Cited: 39
Machine Learning Techniques for Evaluating Concrete Strength with Waste Marble Powder
Nitisha Sharma, Mohindra Singh Thakur, Parveen Sihag, et al.
Materials (2022) Vol. 15, Iss. 17, pp. 5811-5811
Open Access | Times Cited: 23
Estimation of monthly evaporation values using gradient boosting machines and mode decomposition techniques in the Southeast Anatolia Project (GAP) area in Turkey
Metin Sarıgöl, Okan Mert Katipoğlu
Acta Geophysica (2023) Vol. 72, Iss. 2, pp. 999-1016
Closed Access | Times Cited: 14
Remote Sensing Extraction of Lakes on the Tibetan Plateau Based on the Google Earth Engine and Deep Learning
Yunxuan Pang, Junchuan Yu, Laidian Xi, et al.
Remote Sensing (2024) Vol. 16, Iss. 3, pp. 583-583
Open Access | Times Cited: 5
Development of machine learning models for estimation of daily evaporation and mean temperature: a case study in New Delhi, India
Jitendra Rajput, Nand Lal Kushwaha, Aman Srivastava, et al.
Water Practice & Technology (2024) Vol. 19, Iss. 7, pp. 2655-2672
Open Access | Times Cited: 4
Page 1 - Next Page

Scroll to top