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:

Showing 1-25 of 27 citing articles:

Applications of XGBoost in water resources engineering: A systematic literature review (Dec 2018–May 2023)
Majid Niazkar, Andrea Menapace, Bruno Brentan, et al.
Environmental Modelling & Software (2024) Vol. 174, pp. 105971-105971
Closed Access | Times Cited: 57
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: 27
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: 26
Mathematical and Machine Learning Models for Groundwater Level Changes: A Systematic Review and Bibliographic Analysis
Stephen Afrifa, Tao Zhang, Peter Appiahene, et al.
Future Internet (2022) Vol. 14, Iss. 9, pp. 259-259
Open Access | Times Cited: 50
Deakin microgrid digital twin and analysis of AI models for power generation prediction
Iynkaran Natgunanathan, Vicky Mak‐Hau, Sutharshan Rajasegarar, et al.
Energy Conversion and Management X (2023) Vol. 18, pp. 100370-100370
Open Access | Times Cited: 16
Combining high resolution input and stacking ensemble machine learning algorithms for developing robust groundwater potentiality models in Bisha watershed, Saudi Arabia
Javed Mallick, Swapan Talukdar, Mohd. Ahmed
Applied Water Science (2022) Vol. 12, Iss. 4
Open Access | Times Cited: 25
Groundwater quality assessment using machine learning models: a comprehensive study on the industrial corridor of a semi-arid region
Loganathan Krishnamoorthy, V. Lakshmanan
Environmental Science and Pollution Research (2024)
Closed Access | Times Cited: 4
Projection of groundwater level fluctuations using deep learning and dynamic system response models in a drought affected area
Dilip Kumar Roy, Chitra Rani Paul, Md. Panjarul Haque, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 1
Closed Access
Large‐Scale Groundwater Monitoring in Brazil Assisted With Satellite‐Based Artificial Intelligence Techniques
Clyvihk Renna Camacho, Augusto Getirana, Otto Corrêa Rotunno Filho, et al.
Water Resources Research (2023) Vol. 59, Iss. 9
Closed Access | Times Cited: 9
Groundwater level forecasting using ensemble coactive neuro-fuzzy inference system
Kenneth Beng Wee Boo, Ahmed El‐Shafie, Faridah Othman, et al.
The Science of The Total Environment (2023) Vol. 912, pp. 168760-168760
Closed Access | Times Cited: 7
Formulation of Shannon entropy model averaging for groundwater level prediction using artificial intelligence models
Siamak Razzagh, Sina Sadeghfam, Ata Allah Nadiri, et al.
International Journal of Environmental Science and Technology (2021) Vol. 19, Iss. 7, pp. 6203-6220
Closed Access | Times Cited: 14
Unraveling the Potential of Attentive Bi-LSTM for Accurate Obesity Prognosis: Advancing Public Health towards Sustainable Cities
Hina Ayub, Murad-Ali Khan, Syed Naqvi, et al.
Bioengineering (2024) Vol. 11, Iss. 6, pp. 533-533
Open Access | Times Cited: 1
Machine learning-based monitoring and design of managed aquifer rechargers for sustainable groundwater management: scope and challenges
Abdul Gaffar Sheik, Arvind Kumar, A. G. Sharanya, et al.
Environmental Science and Pollution Research (2024)
Open Access | Times Cited: 1
Assessment of wavelet-SVR and wavelet-GP models in predicting the groundwater level using areal precipitation and consumption data
Maryam Abdolahzadeh, Britta Schmalz
Hydrological Sciences Journal (2022) Vol. 67, Iss. 7, pp. 1026-1039
Closed Access | Times Cited: 6
A New Method for Estimating Groundwater Changes Based on Optimized Deep Learning Models—A Case Study of Baiquan Spring Domain in China
Jialun Zhang, Donglin Dong, Longqiang Zhang
Water (2023) Vol. 15, Iss. 23, pp. 4129-4129
Open Access | Times Cited: 3
A New Method for Determination of Optimal Borehole Drilling Location Considering Drilling Cost Minimization and Sustainable Groundwater Management
Anam Nawaz Khan, Bong Wan Kim, Atif Rizwan, et al.
ACS Omega (2023) Vol. 8, Iss. 12, pp. 10806-10821
Open Access | Times Cited: 2
Contactless Water Level Detection System for Pickling Barrels Using Image Recognition Technology
Chi-Huang Hung, Yong‐Yi Fanjiang, Dao-Jiun Wang, et al.
IEEE Access (2023) Vol. 11, pp. 113931-113940
Open Access | Times Cited: 2
Enhanced Optimization-Based Voting Classifier and Chained Multi-Objective Regressor for Effective Groundwater Resource Management
Atif Rizwan, Anam Nawaz Khan, Naeem Iqbal, et al.
IEEE Access (2021) Vol. 9, pp. 168329-168341
Open Access | Times Cited: 5
AI-Driven Groundwater Level Enhancement System using Advanced Prediction Algorithms
S. Ranganathan, R. K., M Vignesh
Journal of Soft Computing Paradigm (2024) Vol. 6, Iss. 1, pp. 55-69
Open Access
Assessing groundwater behavior and future trends in the Ardabil Aquifer: A comparative study of groundwater modeling system and categorical gradient boosting hybrid model
Milad Bairami, Hamed Khajavi, Amir Rastgoo
Expert Systems with Applications (2024) Vol. 255, pp. 124728-124728
Closed Access
Enhanced Forecasting of Groundwater Level Incorporating an Exogenous Variable: Evaluating Conventional Multivariate Time Series and Artificial Neural Network Models
Md Abrarul Hoque, Asib Ahmmed Apon, Md Arafat Hassan, et al.
Geographies (2024) Vol. 5, Iss. 1, pp. 1-1
Open Access
Large-scale groundwater monitoring in Brazil assisted with satellite-based artificial intelligence techniques
Clyvihk Renna Camacho, Augusto Getirana, Otto Corrêa Rotunno Filho, et al.
(2022)
Open Access | Times Cited: 2
Predicting the Height of Individuals with Machine Learning Methods by Considering Non-Genetic Factors
Tuğba Çelikten, Hüseyin Yasin DÖNMEZ, Tuba AKBAS, et al.
Turkish Journal of Science and Technology (2023) Vol. 18, Iss. 1, pp. 233-241
Open Access
MODELLING OVERDISPERSED SEED GERMINATION DATA: XGBOOST'S PERFORMANCE
Gazel Ser, Cafer Tayyar Bati
The Journal of Animal and Plant Sciences (2023) Vol. 33, Iss. 4
Open Access
Science and Technology History Resource Management System Based on ASP.NET
Min Liu
Lecture notes in electrical engineering (2023), pp. 849-855
Closed Access
Page 1 - Next Page

Scroll to top