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:

Convolutional neural network and long short-term memory algorithms for groundwater potential mapping in Anseong, South Korea
Wahyu Luqmanul Hakim, Arip Syaripudin Nur, Fatemeh Rezaie, et al.
Journal of Hydrology Regional Studies (2022) Vol. 39, pp. 100990-100990
Open Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

Evaluation of groundwater potential using ANN-based mountain gazelle optimization: A framework to achieve SDGs in East El Oweinat, Egypt
Mahmoud E. Abd-Elmaboud, Ahmed M. Saqr, Mustafa El-Rawy, et al.
Journal of Hydrology Regional Studies (2024) Vol. 52, pp. 101703-101703
Open Access | Times Cited: 26
Novel Ensemble Machine Learning Modeling Approach for Groundwater Potential Mapping in Parbhani District of Maharashtra, India
Md Masroor, Haroon Sajjad, Pankaj Kumar, et al.
Water (2023) Vol. 15, Iss. 3, pp. 419-419
Open Access | Times Cited: 29
Spatial Prediction of Wildfire Susceptibility Using Hybrid Machine Learning Models Based on Support Vector Regression in Sydney, Australia
Arip Syaripudin Nur, Yong Je Kim, Joon Lee, et al.
Remote Sensing (2023) Vol. 15, Iss. 3, pp. 760-760
Open Access | Times Cited: 27
Deep dive into predictive excellence: Transformer's impact on groundwater level prediction
Wei Sun, Li‐Chiu Chang, Fi‐John Chang
Journal of Hydrology (2024) Vol. 636, pp. 131250-131250
Closed Access | Times Cited: 8
Leveraging machine learning in porous media
Mostafa Delpisheh, Benyamin Ebrahimpour, Abolfazl Fattahi, et al.
Journal of Materials Chemistry A (2024) Vol. 12, Iss. 32, pp. 20717-20782
Open Access | Times Cited: 8
Spatial variability of soil water erosion: Comparing empirical and intelligent techniques
Ali Golkarian, Khabat Khosravi, Mahdi Panahi, et al.
Geoscience Frontiers (2022) Vol. 14, Iss. 1, pp. 101456-101456
Open Access | Times Cited: 29
Remote sensing and GIS-based machine learning models for spatial gully erosion prediction: A case study of Rdat watershed in Sebou basin, Morocco
My Hachem Aouragh, Safae Ijlil, Narjisse Essahlaoui, et al.
Remote Sensing Applications Society and Environment (2023) Vol. 30, pp. 100939-100939
Closed Access | Times Cited: 19
Application of bagging and boosting ensemble machine learning techniques for groundwater potential mapping in a drought-prone agriculture region of eastern India
Krishnagopal Halder, Amit Kumar Srivastava, Anitabha Ghosh, et al.
Environmental Sciences Europe (2024) Vol. 36, Iss. 1
Open Access | Times Cited: 7
Creation of Wildfire Susceptibility Maps in Plumas National Forest Using InSAR Coherence, Deep Learning, and Metaheuristic Optimization Approaches
Arip Syaripudin Nur, Yong Je Kim, Chang-Wook Lee
Remote Sensing (2022) Vol. 14, Iss. 17, pp. 4416-4416
Open Access | Times Cited: 22
Comparative Analysis of Artificial Intelligence Methods for Streamflow Forecasting
Wei Yaxing, Huzaifa Hashim, Sai Hin Lai, et al.
IEEE Access (2024) Vol. 12, pp. 10865-10885
Open Access | Times Cited: 5
Runoff simulation driven by multi-source satellite data based on hydrological mechanism algorithm and deep learning network
Yu Chen, Deyong Hu, Huaiyong Shao, et al.
Journal of Hydrology Regional Studies (2024) Vol. 52, pp. 101720-101720
Open Access | Times Cited: 4
Performance evaluation of convolutional neural network and vision transformer models for groundwater potential mapping
Behnam Sadeghi, Ali Asghar Alesheikh, Ali Jafari, et al.
Journal of Hydrology (2025), pp. 132840-132840
Closed Access
Advanced time-series InSAR analysis to estimate surface deformation and utilization of hybrid deep learning for susceptibility mapping in the Jakarta metropolitan region
Wahyu Luqmanul Hakim, Muhammad Fulki Fadhillah, Joong‐Sun Won, et al.
GIScience & Remote Sensing (2025) Vol. 62, Iss. 1
Open Access
Revealing large-scale surface subsidence in Jincheng City’s mining clusters using MT-InSAR and VMD-SSA-LSTM time series prediction model
Fan Yang, Menghui Zhi, Yan An
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
An ensemble model of knowledge- and data-driven geospatial methods for mapping groundwater potential in a data-scarce, semi-arid fractured rock region
Stephen Fildes, Ian Clark, David Bruce, et al.
Applied Water Science (2025) Vol. 15, Iss. 4
Open Access
Spatial Prediction of Groundwater Withdrawal Potential Using Shallow, Hybrid, and Deep Learning Algorithms in the Toudgha Oasis, Southeast Morocco
Lamya Ouali, Lahcen Kabiri, Mustapha Namous, et al.
Sustainability (2023) Vol. 15, Iss. 5, pp. 3874-3874
Open Access | Times Cited: 12
Spatial assessment of groundwater potential using Quantum GIS and multi-criteria decision analysis (QGIS-AHP) in the Sawla-Tuna-Kalba district of Ghana
Prosper Kpiebaya, Ebenezer Ebo Yahans Amuah, Shaibu Abdul-Ganiyu, et al.
Journal of Hydrology Regional Studies (2022) Vol. 43, pp. 101197-101197
Open Access | Times Cited: 17
Land Subsidence and Groundwater Storage Assessment Using ICOPS, GRACE, and Susceptibility Mapping in Pekalongan, Indonesia
Wahyu Luqmanul Hakim, Muhammad Fulki Fadhillah, Kwang‐Jae Lee, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-25
Open Access | Times Cited: 10
Effectiveness of machine learning ensemble models in assessing groundwater potential in Lidder watershed, India
Rayees Ali, Haroon Sajjad, Tamal Kanti Saha, et al.
Acta Geophysica (2023) Vol. 72, Iss. 4, pp. 2843-2856
Closed Access | Times Cited: 10
Groundwater potential delineation using geodetector based convolutional neural network in the Gunabay watershed of Ethiopia
Asnakew Mulualem Tegegne, Tarun Kumar Lohani, Abunu Atlabachew Eshete
Environmental Research (2023) Vol. 242, pp. 117790-117790
Closed Access | Times Cited: 9
Effects of DEM resolution and application of solely DEM-derived indicators on groundwater potential mapping in the mountainous area
Hanxiang Xiong, Shilong Yang, Jiayao Tan, et al.
Journal of Hydrology (2024) Vol. 636, pp. 131349-131349
Closed Access | Times Cited: 3
Enhancing a convolutional neural network model for land subsidence susceptibility mapping using hybrid meta-heuristic algorithms
Ali Asghar Jafari, Ali Asghar Alesheikh, Fatemeh Rezaie, et al.
International Journal of Coal Geology (2023) Vol. 277, pp. 104350-104350
Closed Access | Times Cited: 8
Developing a new method for future groundwater potentiality mapping under climate change in Bisha watershed, Saudi Arabia
Javed Mallick, Mohammed K. Al Mesfer, Majed Alsubih, et al.
Geocarto International (2022) Vol. 37, Iss. 26, pp. 14495-14527
Closed Access | Times Cited: 12
An Integration of Geospatial Modelling and Machine Learning Techniques for Mapping Groundwater Potential Zones in Nelson Mandela Bay, South Africa
Irvin D. Shandu, Iqra Atif
Water (2023) Vol. 15, Iss. 19, pp. 3447-3447
Open Access | Times Cited: 6
A downscaling-calibrating framework for generating gridded daily precipitation estimates with a high spatial resolution
Jingjing Gu, Yuntao Ye, Yunzhong Jiang, et al.
Journal of Hydrology (2023) Vol. 626, pp. 130371-130371
Closed Access | Times Cited: 6
Page 1 - Next Page

Scroll to top