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:

Groundwater level prediction using machine learning algorithms in a drought-prone area
Quoc Bao Pham, Manish Kumar, Fabio Di Nunno, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 13, pp. 10751-10773
Closed Access | Times Cited: 129

Showing 1-25 of 129 citing articles:

Stacked machine learning algorithms and bidirectional long short-term memory networks for multi-step ahead streamflow forecasting: A comparative study
Francesco Granata, Fabio Di Nunno, Giovanni de Marinis
Journal of Hydrology (2022) Vol. 613, pp. 128431-128431
Closed Access | Times Cited: 109
Applications of machine learning to water resources management: A review of present status and future opportunities
Ashraf Ahmed, Sakina Sayed, Antoifi Abdoulhalik, et al.
Journal of Cleaner Production (2024) Vol. 441, pp. 140715-140715
Open Access | Times Cited: 63
A review of green artificial intelligence: Towards a more sustainable future
Verónica Bolón‐Canedo, Laura Morán‐Fernández, Brais Cancela, et al.
Neurocomputing (2024) Vol. 599, pp. 128096-128096
Open Access | Times Cited: 53
Assessing rainfall prediction models: Exploring the advantages of machine learning and remote sensing approaches
Sarmad Dashti Latif, Nur Alyaa Binti Hazrin, Chai Hoon Koo, et al.
Alexandria Engineering Journal (2023) Vol. 82, pp. 16-25
Open Access | Times Cited: 48
Future trends of reference evapotranspiration in Sicily based on CORDEX data and Machine Learning algorithms
Fabio Di Nunno, Francesco Granata
Agricultural Water Management (2023) Vol. 280, pp. 108232-108232
Open Access | Times Cited: 46
Groundwater level forecasting with machine learning models: A review
Kenneth Beng Wee Boo, Ahmed El‐Shafie, Faridah Othman, et al.
Water Research (2024) Vol. 252, pp. 121249-121249
Closed Access | Times Cited: 31
Predicting groundwater level using traditional and deep machine learning algorithms
Fan Feng, Hamzeh Ghorbani, Ahmed E. Radwan
Frontiers in Environmental Science (2024) Vol. 12
Open Access | Times Cited: 31
A secondary modal decomposition ensemble deep learning model for groundwater level prediction using multi-data
Xuefei Cui, Zhaocai Wang, Nannan Xu, et al.
Environmental Modelling & Software (2024) Vol. 175, pp. 105969-105969
Closed Access | Times Cited: 23
Daily River flow Simulation Using Ensemble Disjoint Aggregating M5-Prime Model
Khabat Khosravi, Nasrin Fathollahzadeh Attar, Sayed M. Bateni, et al.
Heliyon (2024) Vol. 10, Iss. 20, pp. e37965-e37965
Open Access | Times Cited: 21
Comparative assessment of empirical and hybrid machine learning models for estimating daily reference evapotranspiration in sub-humid and semi-arid climates
Siham Acharki, Ali Raza, Dinesh Kumar Vishwakarma, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 5
Modelling groundwater level fluctuations by ELM merged advanced metaheuristic algorithms using hydroclimatic data
Rana Muhammad Adnan, Hongliang Dai, Reham R. Mostafa, et al.
Geocarto International (2022) Vol. 38, Iss. 1
Open Access | Times Cited: 49
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
Short-term forecasts of streamflow in the UK based on a novel hybrid artificial intelligence algorithm
Fabio Di Nunno, Giovanni de Marinis, Francesco Granata
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 39
Assessing the compressive and splitting tensile strength of self-compacting recycled coarse aggregate concrete using machine learning and statistical techniques
Ahmad Alyaseen, Arunava Poddar, Navsal Kumar, et al.
Materials Today Communications (2023) Vol. 38, pp. 107970-107970
Open Access | Times Cited: 39
High-performance self-compacting concrete with recycled coarse aggregate: Soft-computing analysis of compressive strength
Ahmad Alyaseen, Arunava Poddar, Navsal Kumar, et al.
Journal of Building Engineering (2023) Vol. 77, pp. 107527-107527
Closed Access | Times Cited: 37
Metaheuristic approaches for prediction of water quality indices with relief algorithm-based feature selection
Nand Lal Kushwaha, Jitendra Rajput, Truptimayee Suna, et al.
Ecological Informatics (2023) Vol. 75, pp. 102122-102122
Closed Access | Times Cited: 32
A Novel Hybrid Algorithms for Groundwater Level Prediction
Mohsen Saroughi, Ehsan Mirzania, Dinesh Kumar Vishwakarma, et al.
Iranian Journal of Science and Technology Transactions of Civil Engineering (2023) Vol. 47, Iss. 5, pp. 3147-3164
Closed Access | Times Cited: 30
AutoML-GWL: Automated machine learning model for the prediction of groundwater level
Abhilash Singh, Sharad Patel, Vipul Bhadani, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107405-107405
Closed Access | Times Cited: 28
Spatio-temporal analysis of drought in Southern Italy: a combined clustering-forecasting approach based on SPEI index and artificial intelligence algorithms
Fabio Di Nunno, Francesco Granata
Stochastic Environmental Research and Risk Assessment (2023) Vol. 37, Iss. 6, pp. 2349-2375
Closed Access | Times Cited: 26
Groundwater level dynamics in a subtropical fan delta region and its future prediction using machine learning tools: Sustainable groundwater restoration
Sadik Mahammad, Aznarul Islam, Pravat Kumar Shit, et al.
Journal of Hydrology Regional Studies (2023) Vol. 47, pp. 101385-101385
Open Access | Times Cited: 26
Self-attention (SA) temporal convolutional network (SATCN)-long short-term memory neural network (SATCN-LSTM): an advanced python code for predicting groundwater level
Mohammad Ehteram, Elham Ghanbari-Adivi
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 40, pp. 92903-92921
Closed Access | Times Cited: 25
Ensemble and single algorithm models to handle multicollinearity of UAV vegetation indices for predicting rice biomass
Radhwane Derraz, Farrah Melissa Muharam, Khairudin Nurulhuda, et al.
Computers and Electronics in Agriculture (2023) Vol. 205, pp. 107621-107621
Closed Access | Times Cited: 24
Advanced evapotranspiration forecasting in Central Italy: Stacked MLP-RF algorithm and correlated Nystrom views with feature selection strategies
Francesco Granata, Fabio Di Nunno, Giovanni de Marinis
Computers and Electronics in Agriculture (2024) Vol. 220, pp. 108887-108887
Closed Access | Times Cited: 15
A novel additive regression model for streamflow forecasting in German rivers
Francesco Granata, Fabio Di Nunno, Quoc Bao Pham
Results in Engineering (2024) Vol. 22, pp. 102104-102104
Open Access | Times Cited: 14
Forecasting Future Groundwater Recharge from Rainfall Under Different Climate Change Scenarios Using Comparative Analysis of Deep Learning and Ensemble Learning Techniques
Dolon Banerjee, Sayantan Ganguly, Shashwat Kushwaha
Water Resources Management (2024) Vol. 38, Iss. 11, pp. 4019-4037
Closed Access | Times Cited: 11
Page 1 - Next Page

Scroll to top