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:

Statistical Downscaling of GRACE‐Derived Groundwater Storage Using ET Data in the North China Plain
Wenjie Yin, Litang Hu, Menglin Zhang, et al.
Journal of Geophysical Research Atmospheres (2018) Vol. 123, Iss. 11, pp. 5973-5987
Open Access | Times Cited: 129

Showing 1-25 of 129 citing articles:

Causes and implications of groundwater depletion in India: A review
Swarup Dangar, Akarsh Asoka, Vimal Mishra
Journal of Hydrology (2021) Vol. 596, pp. 126103-126103
Closed Access | Times Cited: 201

Data-driven models for accurate groundwater level prediction and their practical significance in groundwater management
Jianchong Sun, Litang Hu, Dandan Li, et al.
Journal of Hydrology (2022) Vol. 608, pp. 127630-127630
Closed Access | Times Cited: 78

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

Statistical Applications to Downscale GRACE-Derived Terrestrial Water Storage Data and to Fill Temporal Gaps
Hossein Sahour, Mohamed Sultan, Mehdi Vazifedan, et al.
Remote Sensing (2020) Vol. 12, Iss. 3, pp. 533-533
Open Access | Times Cited: 100

Downscaling of GRACE-Derived Groundwater Storage Based on the Random Forest Model
Li Chen, Qisheng He, Kun Liu, et al.
Remote Sensing (2019) Vol. 11, Iss. 24, pp. 2979-2979
Open Access | Times Cited: 98

Downscaling GRACE total water storage change using partial least squares regression
Bramha Dutt Vishwakarma, Jinwei Zhang, Nico Sneeuw
Scientific Data (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 95

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

Downscaling Groundwater Storage Data in China to a 1-km Resolution Using Machine Learning Methods
Jianxin Zhang, Kai Liu, Ming Wang
Remote Sensing (2021) Vol. 13, Iss. 3, pp. 523-523
Open Access | Times Cited: 72

Variations of groundwater storage in different basins of China over recent decades
Zijun Yin, Yuyue Xu, Xiaoyun Zhu, et al.
Journal of Hydrology (2021) Vol. 598, pp. 126282-126282
Closed Access | Times Cited: 72

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

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

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

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

Application of random forest and multi-linear regression methods in downscaling GRACE derived groundwater storage changes
P. J. Jyolsna, B. V. N. P. Kambhammettu, Sai Srinivas Gorugantula
Hydrological Sciences Journal (2021) Vol. 66, Iss. 5, pp. 874-887
Closed Access | Times Cited: 53

Downscaling simulation of groundwater storage in the Tarim River basin in northwest China based on GRACE data
Jingping Zuo, Jianhua Xu, Yaning Chen, et al.
Physics and Chemistry of the Earth Parts A/B/C (2021) Vol. 123, pp. 103042-103042
Closed Access | Times Cited: 50

Evaluation of GRACE derived groundwater storage changes in different agro-ecological zones of the Indus Basin
Fazlullah Akhtar, Rana Ali Nawaz, Mohsin Hafeez, et al.
Journal of Hydrology (2021) Vol. 605, pp. 127369-127369
Closed Access | Times Cited: 43

Improving the spatial resolution of GRACE-based groundwater storage estimates using a machine learning algorithm and hydrological model
Wenjie Yin, Gangqiang Zhang, Futian Liu, et al.
Hydrogeology Journal (2022) Vol. 30, Iss. 3, pp. 947-963
Closed Access | Times Cited: 35

Improving the resolution of GRACE-based water storage estimates based on machine learning downscaling schemes
Wenjie Yin, Gangqiang Zhang, Shin‐Chan Han, et al.
Journal of Hydrology (2022) Vol. 613, pp. 128447-128447
Closed Access | Times Cited: 33

Evaluation of evapotranspiration for exorheic basins in China using an improved estimate of terrestrial water storage change
Hongbing Bai, Zutao Ming, Yulong Zhong, et al.
Journal of Hydrology (2022) Vol. 610, pp. 127885-127885
Closed Access | Times Cited: 32

Groundwater storage change and driving factor analysis in north china using independent component decomposition
Tengfei Feng, Yunzhong Shen, Qiujie Chen, et al.
Journal of Hydrology (2022) Vol. 609, pp. 127708-127708
Open Access | Times Cited: 31

Quantifying basin-scale changes in groundwater storage using GRACE and one-way coupled hydrological and groundwater flow model in the data-scarce Bandung groundwater Basin, Indonesia
Steven Reinaldo Rusli, Victor Bense, Ahmad Taufiq, et al.
Groundwater for Sustainable Development (2023) Vol. 22, pp. 100953-100953
Open Access | Times Cited: 21

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