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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:

Soil Moisture Prediction from Remote Sensing Images Coupled with Climate, Soil Texture and Topography via Deep Learning
Mehmet Furkan Çelik, Mustafa Serkan Işık, Onur Yüzügüllü, et al.
Remote Sensing (2022) Vol. 14, Iss. 21, pp. 5584-5584
Open Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

Next-level vegetation health index forecasting: A ConvLSTM study using MODIS Time Series
Serkan Kartal, Muzaffer Can İban, Aliihsan Şekertekin
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 12, pp. 18932-18948
Open Access | Times Cited: 7
A cross-resolution transfer learning approach for soil moisture retrieval from Sentinel-1 using limited training samples
Liujun Zhu, Junjie Dai, Yi Liu, et al.
Remote Sensing of Environment (2023) Vol. 301, pp. 113944-113944
Closed Access | Times Cited: 18
Advances in remote sensing based soil moisture retrieval: applications, techniques, scales and challenges for combining machine learning and physical models
Ali Ben Abbes, Noureddine Jarray, Imed Riadh Farah
Artificial Intelligence Review (2024) Vol. 57, Iss. 9
Open Access | Times Cited: 6
Surface soil moisture retrieval based on transfer learning using SAR data on a local scale
Emadoddin Hemmati, Mahmod Reza Sahebi
International Journal of Remote Sensing (2024) Vol. 45, Iss. 7, pp. 2374-2406
Closed Access | Times Cited: 5
Improving soil moisture prediction with deep learning and machine learning models
Fitsum T. Teshome, Haimanote K. Bayabil, Bruce Schaffer, et al.
Computers and Electronics in Agriculture (2024) Vol. 226, pp. 109414-109414
Closed Access | Times Cited: 5
Machine Learning and Spatio Temporal Analysis for Assessing Ecological Impacts of the Billion Tree Afforestation Project
Kaleem Mehmood, Shoaib Ahmad Anees, Sultan Muhammad, et al.
Ecology and Evolution (2025) Vol. 15, Iss. 2
Open Access
Development of new dielectric models for soil moisture content using mixture theory, empirical methods, and artificial neural network
Hashem Al–Mattarneh, Rabah Ismail, Adnan Rawashdeh, et al.
AIMS environmental science (2025) Vol. 12, Iss. 1, pp. 137-164
Open Access
Automatic Prediction of Soil Moisture Using Efficient Convolutional Neural Network from the Synthetic-Aperture Radar Data
Shilpa Vatkar, Sujata Kulkarni
Remote Sensing in Earth Systems Sciences (2025)
Closed Access
Multi-Scale domain adaptation for high-resolution soil moisture retrieval from synthetic aperture radar in data-scarce regions
Liujun Zhu, Qi Cai, Junliang Jin, et al.
Journal of Hydrology (2025), pp. 133073-133073
Closed Access
Explainable Artificial Intelligence for Cotton Yield Prediction With Multisource Data
Mehmet Furkan Çelik, Mustafa Serkan Işık, Gülşen Taşkın, et al.
IEEE Geoscience and Remote Sensing Letters (2023) Vol. 20, pp. 1-5
Closed Access | Times Cited: 13
SAR2ET: End-to-end SAR-driven Multisource ET Imagery Estimation Over Croplands
Samet Çetin, Berk Ülker, Esra Erten, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 14790-14805
Open Access | Times Cited: 3
Geospatial Artificial Intelligence (GeoAI) and Satellite Imagery Fusion for Soil Physical Property Predicting
Fatemeh Sadat Hosseini, Myoung Bae Seo, Seyed Vahid Razavi-Termeh, et al.
Sustainability (2023) Vol. 15, Iss. 19, pp. 14125-14125
Open Access | Times Cited: 8
Forecasting surface movements based on PSI time series using machine learning algorithms
Nur Yağmur, Gülşen Taşkın, Nebiye Musaoğlu, et al.
International Journal of Remote Sensing (2024) Vol. 45, Iss. 7, pp. 2462-2485
Closed Access | Times Cited: 2
Multi-scale soil moisture data and process-based modeling reveal the importance of lateral groundwater flow in a subarctic catchment
Jari-Pekka Nousu, Kersti Leppä, Hannu Marttila, et al.
(2024)
Open Access | Times Cited: 1
Estimation of Soil Moisture from Multispectral Remote Sensing Data
Teodora Pashova, Emilia Mihaylova
Agricultural Science Digest - A Research Journal (2024), Iss. Of
Open Access | Times Cited: 1
CYGNSS toprak nemi verilerinin SMAP uydusu ve ISMN istasyonları ile karşılaştırmalı analizi
Muhammed Raşit Çevikalp, Mustafa Serkan Işık, Mehmet Furkan Çelik, et al.
Geomatik (2024) Vol. 9, Iss. 2, pp. 227-237
Open Access | Times Cited: 1
Estimating Rootzone Soil Moisture by Fusing Multiple Remote Sensing Products with Machine Learning
Shukran A. Sahaar, Jeffrey D. Niemann
Remote Sensing (2024) Vol. 16, Iss. 19, pp. 3699-3699
Open Access | Times Cited: 1
Depth-specific soil moisture estimation in vegetated corn fields using a canopy-informed model: A fusion of RGB-thermal drone data and machine learning
Milad Vahidi, Sanaz Shafian, William Hunter Frame
Agricultural Water Management (2024) Vol. 307, pp. 109213-109213
Open Access | Times Cited: 1
Soil Moisture Monitoring and Evaluation in Agricultural Fields Based on NDVI Long Time Series and CEEMDAN
Xuqing Li, Xiaodan Wang, Jian Wu, et al.
Remote Sensing (2023) Vol. 15, Iss. 20, pp. 5008-5008
Open Access | Times Cited: 4
A Next-Generation Device for Crop Yield Prediction Using IoT and Machine Learning
K. Siam, Noshin Tasnia, Shakik Mahmud, et al.
Lecture notes in networks and systems (2023), pp. 668-678
Closed Access | Times Cited: 3
Determination of Soil Physical Properties and Pre-Sowing Irrigation Depth from Electrical Resistivity, Moisture, and Salinity Measurements
Christian Y. Cordero-Vázquez, Omar Delgado‐Rodríguez, Rodolfo Cisneros-Almazán, et al.
Land (2023) Vol. 12, Iss. 4, pp. 877-877
Open Access | Times Cited: 2
Enhancement and analysis of hyperspectral satellite images for Soil Study and Behavior
Varun Malik, Ruchi Mittal, Amandeep Kaur, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 11, pp. 33879-33902
Closed Access | Times Cited: 2
Comment on hess-2024-81
Jari-Pekka Nousu, Kersti Leppä, Hannu Marttila, et al.
(2024)
Open Access
Comment on hess-2024-81
Jari-Pekka Nousu, Kersti Leppä, Hannu Marttila, et al.
(2024)
Open Access
Sensitivity of the land surface temperature and NDWI index to soil moisture on wheat and barley
Sabrina Beninato, Mauro Holzman, Raúl Eduardo Rivas
Research Square (Research Square) (2024)
Open Access
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