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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:

Investigating the Local-scale Fluctuations of Groundwater Storage by Using Downscaled GRACE/GRACE-FO JPL Mascon Product Based on Machine Learning (ML) Algorithm
Behnam Khorrami, Shoaib Ali, Orhan Gündüz
Water Resources Management (2023) Vol. 37, Iss. 9, pp. 3439-3456
Closed Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

The GWR model-based regional downscaling of GRACE/GRACE-FO derived groundwater storage to investigate local-scale variations in the North China Plain
Shoaib Ali, Jiangjun Ran, Yi Luan, et al.
The Science of The Total Environment (2023) Vol. 908, pp. 168239-168239
Closed Access | Times Cited: 29
Statistical downscaling of GRACE TWSA estimates to a 1-km spatial resolution for a local-scale surveillance of flooding potential
Behnam Khorrami, Saied Pirasteh, Shoaib Ali, et al.
Journal of Hydrology (2023) Vol. 624, pp. 129929-129929
Closed Access | Times Cited: 25
Downscaled GRACE/GRACE-FO observations for spatial and temporal monitoring of groundwater storage variations at the local scale using machine learning
Shoaib Ali, Jiangjun Ran, Behnam Khorrami, et al.
Groundwater for Sustainable Development (2024) Vol. 25, pp. 101100-101100
Closed Access | Times Cited: 12
Application of the machine learning methods for GRACE data based groundwater modeling, a systematic review
Vahid Nourani, Nardin Jabbarian Paknezhad, A. W. M Ng, et al.
Groundwater for Sustainable Development (2024) Vol. 25, pp. 101113-101113
Closed Access | Times Cited: 11
Advancing Hydrology through Machine Learning: Insights, Challenges, and Future Directions Using the CAMELS, Caravan, GRDC, CHIRPS, PERSIANN, NLDAS, GLDAS, and GRACE Datasets
F. M. Hasan, Paul Medley, Jason Drake, et al.
Water (2024) Vol. 16, Iss. 13, pp. 1904-1904
Open Access | Times Cited: 9
High-resolution groundwater storage anomalies in the Middle and Lower Yangtze River Basin of China using machine learning fusion of in-situ wells, satellite gravity and hydrological model
Hu Li, Linsong Wang, Zhenran Peng, et al.
Journal of Environmental Management (2025) Vol. 375, pp. 124322-124322
Closed Access | Times Cited: 1
Harnessing Machine Learning for Assessing Climate Change Influences on Groundwater Resources: A Comprehensive Review
Apoorva Bamal, Md Galal Uddin, Agnieszka I. Olbert
Heliyon (2024) Vol. 10, Iss. 17, pp. e37073-e37073
Open Access | Times Cited: 8
A Fast Generative Adversarial Network Combined With Transformer for Downscaling GRACE Terrestrial Water Storage Data in Southwestern China
Songwei Gu, Yun Zhou, Long Zhao, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-16
Closed Access | Times Cited: 6
A novel land surface temperature reconstruction method and its application for downscaling surface soil moisture with machine learning
Onur Şahin, Orhan Gündüz
Journal of Hydrology (2024) Vol. 634, pp. 131051-131051
Closed Access | Times Cited: 5
An appraisal of the local‐scale spatio‐temporal variations of drought based on the integrated GRACE/GRACE‐FO observations and fine‐resolution FLDAS model
Behnam Khorrami, Shoaib Ali, Orhan Gündüz
Hydrological Processes (2023) Vol. 37, Iss. 11
Open Access | Times Cited: 13
Assessing terrestrial water storage dynamics and multiple factors driving forces in China from 2005 to 2020
Renke Ji, Chao Wang, Aoxue Cui, et al.
Journal of Environmental Management (2024) Vol. 370, pp. 122464-122464
Closed Access | Times Cited: 4
Characterization of groundwater storage changes in the Amazon River Basin based on downscaling of GRACE/GRACE-FO data with machine learning models
Diego Alejandro Satizábal-Alarcón, Alexandra Vieira Suhogusoff, L Ferrari
The Science of The Total Environment (2023) Vol. 912, pp. 168958-168958
Closed Access | Times Cited: 10
Estimation of Monthly Water Table Depth Anomalies Based on the Integration of GRACE and ERA5-Land with Large-Scale Simulations Using Random Forest and LSTM Networks
Leandro Avila, Alban de Lavenne, Maria‐Helena Ramos, et al.
Water Resources Management (2025)
Open Access
Groundwater Storage Loss in the Central Valley Analysis Using a Novel Method based on In Situ Data Compared to GRACE-Derived Data
M. L. Stevens, Saul G. Ramirez, E. Martin, et al.
Environmental Modelling & Software (2025), pp. 106368-106368
Closed Access
Unveiling the escalating impact of human activities on groundwater storage in ecologically fragile steppe, Northern China
Xiao Zhang, Xiong Wu, Wenping Mu
Journal of Hydrology (2025), pp. 133296-133296
Closed Access
Joint Inversion of InSAR and GNSS for surface subsidence and terrestrial water storage anomalies of small-area in west-central Yunnan Province, China
Ming Shangguan, Jingyi Guo, Shuguang Wu, et al.
Journal of Hydrology Regional Studies (2025) Vol. 59, pp. 102441-102441
Closed Access
An Ensemble Machine Learning Approach for High-Resolution Estimation of Groundwater Storage Anomalies
Yanbin Yuan, Donghao Shen, Yang Cao, et al.
Water (2025) Vol. 17, Iss. 10, pp. 1445-1445
Open Access
The changes prediction on terrestrial water storage in typical regions of China based on neural networks and satellite gravity data
Shanbo Lu, Wanqiu Li, Guobiao Yao, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Remote sensing-based monitoring and evaluation of the basin-wise dynamics of terrestrial water and groundwater storage fluctuations
Behnam Khorrami, Orhan Gündüz
Environmental Monitoring and Assessment (2023) Vol. 195, Iss. 7
Closed Access | Times Cited: 8
Estimation of Unconfined Aquifer Transmissivity Using a Comparative Study of Machine Learning Models
zahra dashti, Mohammad Nakhaei, Meysam Vadiati, et al.
Water Resources Management (2023) Vol. 37, Iss. 12, pp. 4909-4931
Closed Access | Times Cited: 5
Impact of Climate Change on the Spatio-Temporal Variation in Groundwater Storage in the Guangdong–Hong Kong–Macao Greater Bay Area
Qifeng Huang, Longhuan Wang, Binghao Jia, et al.
Sustainability (2023) Vol. 15, Iss. 14, pp. 10776-10776
Open Access | Times Cited: 5
Using Downscaled GRACE Mascon Data to Assess Total Water Storage in Mississippi Alluvial Plain Aquifer
Zahra Ghaffari, Greg Easson, Lance D. Yarbrough, et al.
Sensors (2023) Vol. 23, Iss. 14, pp. 6428-6428
Open Access | Times Cited: 5
Satellite-based investigation of water stress at the basin scale: an integrated analysis of downscaled GRACE estimates and remotely sensed data
Behnam Khorrami
Journal of Hydroinformatics (2023) Vol. 25, Iss. 4, pp. 1501-1512
Open Access | Times Cited: 4
Analysis of spatio-temporal variability of groundwater storage in Ethiopia using Gravity Recovery and Climate Experiment (GRACE) data
Kassahun Aweke Arega, Behailu Birhanu, Shoaib Ali, et al.
Environmental Earth Sciences (2024) Vol. 83, Iss. 7
Closed Access | Times Cited: 1
Analysis of factors influencing groundwater drought in the Loess Zone of China
Yunxiao Qiu, Zimiao He, Xinxiao Yu, et al.
iScience (2024) Vol. 27, Iss. 10, pp. 110929-110929
Open Access | Times Cited: 1
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