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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:

10 m crop type mapping using Sentinel-2 reflectance and 30 m cropland data layer product
Khuong H. Tran, Hankui K. Zhang, John McMaine, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 107, pp. 102692-102692
Open Access | Times Cited: 73

Showing 1-25 of 73 citing articles:

Mapping crop type in Northeast China during 2013–2021 using automatic sampling and tile-based image classification
Xuan Fu, Yi Dong, Jiayu Li, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 117, pp. 103178-103178
Open Access | Times Cited: 79
Precision agriculture in the United States: A comprehensive meta-review inspiring further research, innovation, and adoption
Marcelo Rodrigues Barbosa Júnior, Bruno Rafael de Almeida Moreira, Vinicius dos Santos Carreira, et al.
Computers and Electronics in Agriculture (2024) Vol. 221, pp. 108993-108993
Closed Access | Times Cited: 29
Classifying raw irregular time series (CRIT) for large area land cover mapping by adapting transformer model
Hankui K. Zhang, Dong Luo, Zhongbin Li
Science of Remote Sensing (2024) Vol. 9, pp. 100123-100123
Open Access | Times Cited: 17
The Classification Method Study of Crops Remote Sensing with Deep Learning, Machine Learning, and Google Earth Engine
Jinxi Yao, Ji Wu, Chengzhi Xiao, et al.
Remote Sensing (2022) Vol. 14, Iss. 12, pp. 2758-2758
Open Access | Times Cited: 50
Surface Water Mapping and Flood Monitoring in the Mekong Delta Using Sentinel-1 SAR Time Series and Otsu Threshold
Khuong H. Tran, Massimo Menenti, Jia Li
Remote Sensing (2022) Vol. 14, Iss. 22, pp. 5721-5721
Open Access | Times Cited: 43
Automated soybean mapping based on canopy water content and chlorophyll content using Sentinel-2 images
Yingze Huang, Bingwen Qiu, Chongcheng Chen, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 109, pp. 102801-102801
Open Access | Times Cited: 39
Crop type mapping in the central part of the North China Plain using Sentinel-2 time series and machine learning
Ke Luo, Linlin Lu, Yanhua Xie, et al.
Computers and Electronics in Agriculture (2022) Vol. 205, pp. 107577-107577
Closed Access | Times Cited: 38
Demonstration of large area land cover classification with a one dimensional convolutional neural network applied to single pixel temporal metric percentiles
Hankui K. Zhang, David P. Roy, Dong Luo
Remote Sensing of Environment (2023) Vol. 295, pp. 113653-113653
Open Access | Times Cited: 28
Reconstruction of seamless harmonized Landsat Sentinel-2 (HLS) time series via self-supervised learning
Hao Liu, Hankui K. Zhang, Bo Huang, et al.
Remote Sensing of Environment (2024) Vol. 308, pp. 114191-114191
Closed Access | Times Cited: 10
A transformer-based model for detecting land surface phenology from the irregular harmonized Landsat and Sentinel-2 time series across the United States
Khuong H. Tran, Xiaoyang Zhang, Hankui K. Zhang, et al.
Remote Sensing of Environment (2025) Vol. 320, pp. 114656-114656
Closed Access | Times Cited: 1
An Interannual Transfer Learning Approach for Crop Classification in the Hetao Irrigation District, China
Yueran Hu, Hongwei Zeng, Fuyou Tian, et al.
Remote Sensing (2022) Vol. 14, Iss. 5, pp. 1208-1208
Open Access | Times Cited: 35
Performance and the Optimal Integration of Sentinel-1/2 Time-Series Features for Crop Classification in Northern Mongolia
Battsetseg Tuvdendorj, Hongwei Zeng, Bingfang Wu, et al.
Remote Sensing (2022) Vol. 14, Iss. 8, pp. 1830-1830
Open Access | Times Cited: 34
A novel algorithm for the generation of gap-free time series by fusing harmonized Landsat 8 and Sentinel-2 observations with PhenoCam time series for detecting land surface phenology
Khuong H. Tran, Xiaoyang Zhang, Alexander R. Ketchpaw, et al.
Remote Sensing of Environment (2022) Vol. 282, pp. 113275-113275
Open Access | Times Cited: 33
Crop mapping through a hybrid machine learning and deep learning method
Bahar Asadi, Ali Shamsoddini
Remote Sensing Applications Society and Environment (2023) Vol. 33, pp. 101090-101090
Closed Access | Times Cited: 17
Linearly interpolating missing values in time series helps little for land cover classification using recurrent or attention networks
Xianghong Che, Hankui K. Zhang, Zhongbin B. Li, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 212, pp. 73-95
Open Access | Times Cited: 8
Enhancing Crop Mapping through Automated Sample Generation Based on Segment Anything Model with Medium-Resolution Satellite Imagery
Jialin Sun, Shuai Yan, Thomas Alexandridis, et al.
Remote Sensing (2024) Vol. 16, Iss. 9, pp. 1505-1505
Open Access | Times Cited: 7
Mapping annual 10-m soybean cropland with spatiotemporal sample migration
Hongchi Zhang, Zihang Lou, Dailiang Peng, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 7
Long-term (2013–2022) mapping of winter wheat in the North China Plain using Landsat data: classification with optimal zoning strategy
Yifei Liu, Xuehong Chen, Jin Chen, et al.
Big Earth Data (2024) Vol. 8, Iss. 3, pp. 494-521
Open Access | Times Cited: 7
Time-Series-Based Spatiotemporal Fusion Network for Improving Crop Type Mapping
Wenfang Zhan, Feng Luo, Heng Luo, et al.
Remote Sensing (2024) Vol. 16, Iss. 2, pp. 235-235
Open Access | Times Cited: 6
HP-LSP: A reference of land surface phenology from fused Harmonized Landsat and Sentinel-2 with PhenoCam data
Khuong H. Tran, Xiaoyang Zhang, Yongchang Ye, et al.
Scientific Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 13
Mapping cropland extent using sentinel-2 datasets and machine learning algorithms for an agriculture watershed
Chirasmayee Savitha, Reshma Talari
Smart Agricultural Technology (2023) Vol. 4, pp. 100193-100193
Open Access | Times Cited: 11
Automated in-season rice crop mapping using Sentinel time-series data and Google Earth Engine: A case study in climate-risk prone Bangladesh
Varun Tiwari, Mirela G. Tulbure, Júlio Caineta, et al.
Journal of Environmental Management (2023) Vol. 351, pp. 119615-119615
Open Access | Times Cited: 11
Adaptive Month Matching: A Phenological Alignment Method for Transfer Learning in Cropland Segmentation
Reza Maleki, Falin Wu, G. Qu, et al.
Remote Sensing (2025) Vol. 17, Iss. 2, pp. 283-283
Open Access
Remote sensing application in compliment to in-situ monitoring of water quality: Lower Manyame Sub-catchment, Zimbabwe
Hardlife Muhoyi, Webster Gumindoga, Alexander Mhizha, et al.
Scientific African (2025), pp. e02551-e02551
Open Access
CSTN: A cross-region crop mapping method integrating self-training and contrastive domain adaptation
Shuwen Peng, Liqiang Zhang, Rongchang Xie, et al.
International Journal of Applied Earth Observation and Geoinformation (2025) Vol. 136, pp. 104379-104379
Open Access
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