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OpenAlex Citation Counts

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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:

Improving the Resolution of GRACE Data for Spatio-Temporal Groundwater Storage Assessment
Shoaib Ali, Dong Liu, Qiang Fu, et al.
Remote Sensing (2021) Vol. 13, Iss. 17, pp. 3513-3513
Open Access | Times Cited: 89

Showing 1-25 of 89 citing articles:

Spatial Downscaling of GRACE Data Based on XGBoost Model for Improved Understanding of Hydrological Droughts in the Indus Basin Irrigation System (IBIS)
Shoaib Ali, Behnam Khorrami, Muhammad Jehanzaib, et al.
Remote Sensing (2023) Vol. 15, Iss. 4, pp. 873-873
Open Access | Times Cited: 65
Monitoring of the Groundwater Level using GRACE with GLDAS Satellite Data in Ganga Plain, India to Understand the Challenges of Groundwater, Depletion, Problems, and Strategies for Mitigation
Pawan Kumar Gautam, Sushil Chandra, Pradnita Komal Henry
Environmental Challenges (2024) Vol. 15, pp. 100874-100874
Open Access | Times Cited: 19
Combining downscaled-GRACE data with SWAT to improve the estimation of groundwater storage and depletion variations in the Irrigated Indus Basin (IIB)
Arfan Arshad, Ali Mirchi, Maryam Samimi, et al.
The Science of The Total Environment (2022) Vol. 838, pp. 156044-156044
Closed Access | Times Cited: 70
Constructing high-resolution groundwater drought at spatio-temporal scale using GRACE satellite data based on machine learning in the Indus Basin
Shoaib Ali, Dong Liu, Qiang Fu, et al.
Journal of Hydrology (2022) Vol. 612, pp. 128295-128295
Open Access | Times Cited: 59
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
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
Enhancing spatial resolution of GRACE-derived groundwater storage anomalies in Urmia catchment using machine learning downscaling methods
F. Sabzehee, Alireza Amiri-Simkooei, Siavash Iran Pour, et al.
Journal of Environmental Management (2023) Vol. 330, pp. 117180-117180
Open Access | Times Cited: 26
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
Estimating the spatio-temporal assessment of GRACE/GRACE-FO derived groundwater storage depletion and validation with in-situ water quality data (Yazd province, central Iran)
Vahab Amiri, Shoaib Ali, Nassim Sohrabi
Journal of Hydrology (2023) Vol. 620, pp. 129416-129416
Closed Access | Times Cited: 24
Downscaled‐GRACE Data Reveal Anthropogenic and Climate‐Induced Water Storage Decline Across the Indus Basin
Arfan Arshad, Ali Mirchi, Saleh Taghvaeian, et al.
Water Resources Research (2024) Vol. 60, Iss. 7
Open Access | Times Cited: 13
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
How Big Data Can Help to Monitor the Environment and to Mitigate Risks due to Climate Change: A review
Jean‐Philippe Montillet, Gaël Kermarrec, Ehsan Forootan, et al.
IEEE Geoscience and Remote Sensing Magazine (2024) Vol. 12, Iss. 2, pp. 67-89
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
A novel generative adversarial network and downscaling scheme for GRACE/GRACE-FO products: Exemplified by the Yangtze and Nile River Basins
Jielong Wang, Yunzhong Shen, Joseph L. Awange, et al.
The Science of The Total Environment (2025) Vol. 969, pp. 178874-178874
Closed Access | Times Cited: 1
Evaluating Groundwater Storage Change and Recharge Using GRACE Data: A Case Study of Aquifers in Niger, West Africa
Sergio A. Barbosa, Sarva T. Pulla, Gustavious P. Williams, et al.
Remote Sensing (2022) Vol. 14, Iss. 7, pp. 1532-1532
Open Access | Times Cited: 34
Spatial Downscaling and Gap-Filling of SMAP Soil Moisture to High Resolution Using MODIS Surface Variables and Machine Learning Approaches over ShanDian River Basin, China
Adeel Ahmad Nadeem, Yuanyuan Zha, Liangsheng Shi, et al.
Remote Sensing (2023) Vol. 15, Iss. 3, pp. 812-812
Open Access | Times Cited: 22
Local-scale monitoring of evapotranspiration based on downscaled GRACE observations and remotely sensed data: An application of terrestrial water balance approach
Behnam Khorrami, Shahram Gorjifard, Shoaib Ali, et al.
Earth Science Informatics (2023) Vol. 16, Iss. 2, pp. 1329-1345
Closed Access | Times Cited: 20
Analysis of the spatiotemporal variation of groundwater storage in Ordos Basin based on GRACE gravity satellite data
Juan Zhao, Geng Li, Fanghua Zhang, et al.
Journal of Hydrology (2024) Vol. 632, pp. 130931-130931
Closed Access | Times Cited: 8
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
Spatio-Temporal Analysis of Hydrometeorological Variables for Terrestrial and Groundwater Storage Assessment
Muhammad Shareef Shazil, Sheharyar Ahmad, Syed Amer Mahmood, et al.
Groundwater for Sustainable Development (2024) Vol. 27, pp. 101333-101333
Closed Access | Times Cited: 8
Combining APHRODITE Rain Gauges-Based Precipitation with Downscaled-TRMM Data to Translate High-Resolution Precipitation Estimates in the Indus Basin
Rabeea Noor, Arfan Arshad, Muhammad Shafeeque, et al.
Remote Sensing (2023) Vol. 15, Iss. 2, pp. 318-318
Open Access | Times Cited: 16
A Spatial Downscaling Methodology for GRACE Total Water Storage Anomalies Using GPM IMERG Precipitation Estimates
Alexandra Gemitzi, Nikos Koutsias, V. Lakshmi
Remote Sensing (2021) Vol. 13, Iss. 24, pp. 5149-5149
Open Access | Times Cited: 28
Forecasting groundwater anomaly in the future using satellite information and machine learning
Keyvan Soltani, Arash Azari
Journal of Hydrology (2022) Vol. 612, pp. 128052-128052
Closed Access | Times Cited: 21
Observed Changes in Crop Yield Associated with Droughts Propagation via Natural and Human-Disturbed Agro-Ecological Zones of Pakistan
Farhan Saleem, Arfan Arshad, Ali Mirchi, et al.
Remote Sensing (2022) Vol. 14, Iss. 9, pp. 2152-2152
Open Access | Times Cited: 20
Spatial and temporal downscaling schemes to reconstruct high-resolution GRACE data: A case study in the Tarim River Basin, Northwest China
Dongping Xue, Dongwei GUI, Mengtao Ci, et al.
The Science of The Total Environment (2023) Vol. 907, pp. 167908-167908
Closed Access | Times Cited: 13
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