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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:

Assessing the impact of Sentinel-1 derived planting dates on rice crop yield modeling
Mahya G.Z. Hashemi, Abhijeet Abhishek, Ehsan Jalilvand, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 114, pp. 103047-103047
Open Access | Times Cited: 11

Showing 11 citing articles:

Yield estimation from SAR data using patch-based deep learning and machine learning techniques
Mahya G.Z. Hashemi, Pang‐Ning Tan, Ehsan Jalilvand, et al.
Computers and Electronics in Agriculture (2024) Vol. 226, pp. 109340-109340
Closed Access | Times Cited: 7
Radar vegetation indices for monitoring surface vegetation: Developments, challenges, and trends
Xueqian Hu, Li Li, Jianxi Huang, et al.
The Science of The Total Environment (2024) Vol. 945, pp. 173974-173974
Closed Access | Times Cited: 6
Review of synthetic aperture radar with deep learning in agricultural applications
Mahya G.Z. Hashemi, Ehsan Jalilvand, Hamed Alemohammad, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 218, pp. 20-49
Closed Access | Times Cited: 6
Satellite-based drought assessment in the endorheic basin of Lake Balkhash
Asset Yegizbayeva, Asima Koshim, Nurlan Bekmuhamedov, et al.
Frontiers in Environmental Science (2024) Vol. 11
Open Access | Times Cited: 2
The Application of Unmanned Aerial Vehicles (UAVs) and Extreme Gradient Boosting (XGBoost) to Crop Yield Estimation: A Case Study of Don Tum District, Nakhon Pathom, Thailand

International Journal of Geoinformatics (2023), pp. 65-77
Open Access | Times Cited: 5
Efficient agricultural monitoring: a methodology for assessing individual farmer adherence to rice-planting schedule for tertiary irrigation system under the Muda Irrigation Scheme using Earth observation datasets
Aliya Mhd Zahir, Hiroaki Somura, Toshitsugu Moroizumi
Hydrological Research Letters (2024) Vol. 18, Iss. 1, pp. 14-21
Open Access | Times Cited: 1
Digital mapping of dates of transplanting and accumulated thermal requirement of rice ( Oryza sativa L.) in the subtropics of North Eastern Hill Region, India
Sushree Panda, Vishram Ram, Pradesh Jena, et al.
European Journal of Remote Sensing (2024) Vol. 57, Iss. 1
Open Access | Times Cited: 1
Improved Crop Height Estimation of Green Gram and Wheat Using Sentinel-1 SAR Time Series and Machine Learning Algorithms
Sourabh Jain, Pradeep Choudhary, Himanshu Maurya, et al.
Journal of the Indian Society of Remote Sensing (2024)
Closed Access | Times Cited: 1
Spatiotemporal Variation and Stability of Rice Planting Using Landsat–MODIS Fusion Images from 1990 to 2020
Luguang Jiang, Ye Liu, Si Wu
Remote Sensing (2023) Vol. 15, Iss. 19, pp. 4814-4814
Open Access | Times Cited: 3
Sentinel SAR-optical fusion for improving in-season wheat crop mapping at a large scale using machine learning and the Google Earth engine platform
Louis Evence Zoungrana, Meriem Barbouchi, Wael Toukabri, et al.
Applied Geomatics (2023) Vol. 16, Iss. 1, pp. 147-160
Closed Access | Times Cited: 3
An Empirical Approach to Map the Paddy Crops at the Ripening Stage Using SLC and GRD Sentinel-1 Data
Sabreen Sadhak, Shoba Periasamy
(2024), pp. 451-454
Closed Access
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