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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.

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Showing 22 citing articles:

Analyzing vegetation health dynamics across seasons and regions through NDVI and climatic variables
Kaleem Mehmood, Shoaib Ahmad Anees, Sultan Muhammad, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 27
Terrestrial and groundwater storage characteristics and their quantification in the Chitral (Pakistan) and Kabul (Afghanistan) river basins using GRACE/GRACE-FO satellite data
Aqil Tariq, Shoaib Ali, Iqra Basit, et al.
Groundwater for Sustainable Development (2023) Vol. 23, pp. 100990-100990
Closed Access | Times Cited: 32
Spatial Downscaling of Satellite-Based Soil Moisture Products Using Machine Learning Techniques: A Review
I.P. Senanayake, Kalani R. L. Pathira Arachchilage, In‐Young Yeo, et al.
Remote Sensing (2024) Vol. 16, Iss. 12, pp. 2067-2067
Open Access | Times Cited: 8
Remote Sensing Data Assimilation in Crop Growth Modeling from an Agricultural Perspective: New Insights on Challenges and Prospects
Jun Wang, Yanlong Wang, Zhengyuan Qi
Agronomy (2024) Vol. 14, Iss. 9, pp. 1920-1920
Open Access | Times Cited: 4
Satellite-Based Estimation of Soil Moisture Content in Croplands: A Case Study in Golestan Province, North of Iran
Soraya Bandak, Seyed Ali Reza Movahedi Naeini, Chooghi Bairam Komaki, et al.
Remote Sensing (2023) Vol. 15, Iss. 8, pp. 2155-2155
Open Access | Times Cited: 11
A deep learning approach for SMAP soil moisture downscaling informed by thermal inertia theory
Mengyuan Xu, Haoxuan Yang, Annan Hu, et al.
International Journal of Applied Earth Observation and Geoinformation (2025) Vol. 136, pp. 104370-104370
Closed Access
A Framework for Soil Moisture Downscaling on the Tibetan Plateau Based on Interpretable Deep Learning
Zhiguo Miao, Lei Han, L. Zhao, et al.
Water (2025) Vol. 17, Iss. 4, pp. 570-570
Open Access
Downscaling of the European Space Agency's CCI Soil Moisture Product Based on Artificial Neural Network
Hongtao Jiang, Hao Liu, Tianyi Song, et al.
Research Square (Research Square) (2025)
Closed Access
Estimation of Silage Maize Plant Moisture Content Based on UAV Multispectral Data and Ensemble Learning Methods
Xuchun Li, Jixuan Yan, Caixia Huang, et al.
Agriculture (2025) Vol. 15, Iss. 7, pp. 746-746
Open Access
A time-invariant bias correction strategy for improving CLM5.0 evapotranspiration simulation by random forest method for mainland China
Lanhui Zhang, Zhilan Wang, Xuliang Bai, et al.
Atmospheric Research (2025), pp. 108196-108196
Closed Access
Spatial Downscaling of Soil Moisture Product to Generate High-Resolution Data: A Multi-Source Approach over Heterogeneous Landscapes in Kenya
Asnake Kassahun Abebe, Xiang Zhou, Tingting LV, et al.
Remote Sensing (2025) Vol. 17, Iss. 10, pp. 1763-1763
Open Access
Ethical Framework to Assess and Quantify the Trustworthiness of Artificial Intelligence Techniques: Application Case in Remote Sensing
Marina Paolanti, Simona Tiribelli, Benedetta Giovanola, et al.
Remote Sensing (2024) Vol. 16, Iss. 23, pp. 4529-4529
Open Access | Times Cited: 3
SAFER-ET based assessment of irrigation patterns and impacts on groundwater use in the central Punjab, Pakistan
Adeel Ahmad Nadeem, Yuanyuan Zha, Liangsheng Shi, et al.
Agricultural Water Management (2023) Vol. 289, pp. 108545-108545
Open Access | Times Cited: 7
New Trends and Challenges in Precision and Digital Agriculture
Gniewko Niedbała, Magdalena Piekutowska, Patryk Hara
Agronomy (2023) Vol. 13, Iss. 8, pp. 2136-2136
Open Access | Times Cited: 5
Enhancing Spatial Resolution of GNSS-R Soil Moisture Retrieval through XGBoost Algorithm-Based Downscaling Approach: A Case Study in the Southern United States
Qidi Luo, Yueji Liang, Yue Guo, et al.
Remote Sensing (2023) Vol. 15, Iss. 18, pp. 4576-4576
Open Access | Times Cited: 4
Spatial Downscaling of Soil Moisture Based on Fusion Methods in Complex Terrains
Qingqing Chen, Xiaowen Tang, Biao Li, et al.
Remote Sensing (2023) Vol. 15, Iss. 18, pp. 4451-4451
Open Access | Times Cited: 4
Applications of Machine Learning and Remote Sensing in Soil and Water Conservation
Kwang Jin Kim, Woo Hyeon Park, Yongchul Shin, et al.
Hydrology (2024) Vol. 11, Iss. 11, pp. 183-183
Open Access | Times Cited: 1
A novel finer soil strength mapping framework based on machine learning and remote sensing images
Ruizhen Wang, Siyang Wan, Weitao Chen, et al.
Computers & Geosciences (2023) Vol. 182, pp. 105479-105479
Open Access | Times Cited: 3
Sensitivity Analysis of Regression-Based Trend Estimates to Input Errors in Spatial Downscaling of Coarse Resolution Remote Sensing Data
Geun-Ho Kwak, Sungwook Hong, No-Wook Park
Applied Sciences (2023) Vol. 13, Iss. 18, pp. 10233-10233
Open Access | Times Cited: 1
Índices para el monitoreo de cuerpos de agua usando sensores remotos
Rodolfo Henrández Lozano, Numa P. Pavón
Acta Universitaria (2024) Vol. 34, pp. 1-19
Open Access
Downscaling of Remote Sensing Soil Moisture Products That Integrate Microwave and Optical Data
Jie Wang, Huazhu Xue, Guotao Dong, et al.
Applied Sciences (2024) Vol. 14, Iss. 24, pp. 11875-11875
Open Access
Generating High Spatial Resolution Soil Moisture by Combiningthermal Inertia Theory and a Deep Learning Algorithm
Mengyuan Xu, Annan Hu, Haoxuan Yang, et al.
(2023)
Closed Access
Soil moisture mapping using machine learning technique
Undrakhtsetseg Tsogtbaatar, Sainbayar Dalantai, Bayartungalag Batsaikhan
Deleted Journal (2023) Vol. 60, Iss. 44, pp. 222-230
Open Access
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