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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:

Investigating the Potential of Sentinel-2 MSI in Early Crop Identification in Northeast China
Mengfan Wei, Hongyan Wang, Yuan Zhang, et al.
Remote Sensing (2022) Vol. 14, Iss. 8, pp. 1928-1928
Open Access | Times Cited: 11

Showing 11 citing articles:

Using Remote Sensing Vegetation Indices for the Discrimination and Monitoring of Agricultural Crops: A Critical Review
Roxana Vidican, Anamaria Mălinaş, Ovidiu RANTA, et al.
Agronomy (2023) Vol. 13, Iss. 12, pp. 3040-3040
Open Access | Times Cited: 18
Investigating the Potential of Crop Discrimination in Early Growing Stage of Change Analysis in Remote Sensing Crop Profiles
Mengfan Wei, Hongyan Wang, Yuan Zhang, et al.
Remote Sensing (2023) Vol. 15, Iss. 3, pp. 853-853
Open Access | Times Cited: 11
Using Remote Sensing Vegetation Indices for the Discrimination and Monitoring of Agricultural Crops: A Critical Review
Roxana Vidican, Anamaria Mălinaş, Ovidiu RANTA, et al.
(2023)
Open Access | Times Cited: 8
Detection of Green Asparagus Using Improved Mask R-CNN for Automatic Harvesting
Xiangpeng Liu, Danning Wang, Yani Li, et al.
Sensors (2022) Vol. 22, Iss. 23, pp. 9270-9270
Open Access | Times Cited: 11
Quantitative assessment of soil condition, basic environmental factors and productivity of Linum usitatissimum in the steppe zone of Kazakhstan using the remote sensing method
Алмабек Нугманов, Yuriy Valerievich Tulayev, В. В. Ершов, et al.
Brazilian Journal of Biology (2023) Vol. 83
Open Access | Times Cited: 4
A robust method for mapping soybean by phenological aligning of Sentinel-2 time series
Xin Huang, Anton Vrieling, Yue Dou, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 218, pp. 1-18
Open Access | Times Cited: 1
Early Crop Identification Study Based on Sentinel-1/2 Images with Feature Optimization Strategy
Jiansong Luo, Min Xie, Qiang Wu, et al.
Agriculture (2024) Vol. 14, Iss. 7, pp. 990-990
Open Access
Accurate Paddy Rice Mapping Based on Phenology-Based Features and Object-Based Classification
Jiayi Zhang, Lixin Gao, Miao Liu, et al.
Remote Sensing (2024) Vol. 16, Iss. 23, pp. 4406-4406
Open Access
Landscape Character Classification with a Deep Neural Network: A Case Study of the Jianghan Plain
Wenke Qin, Wenpeng Li, Zhuohao Zhang, et al.
Land (2024) Vol. 13, Iss. 12, pp. 2024-2024
Open Access
Monitoring and Forecasting Crop Yields
Tatiana Makarovskikh, Anatoly Panyukov, Mostafa Abotaleb
Communications in computer and information science (2023), pp. 78-92
Closed Access
Early Crop Classification Based on Historical Annual Crop Inventory Data and Remote Sensing Data
Yue Wu, Chunhua Liao
(2023), pp. 1-5
Closed Access
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