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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:

Development of a 10-m resolution maize and soybean map over China: Matching satellite-based crop classification with sample-based area estimation
Haijun Li, Xiao‐Peng Song, Matthew C. Hansen, et al.
Remote Sensing of Environment (2023) Vol. 294, pp. 113623-113623
Closed Access | Times Cited: 52

Showing 1-25 of 52 citing articles:

CROPGRIDS: a global geo-referenced dataset of 173 crops
Fiona H. M. Tang, Thu Ha Nguyen, Giulia Conchedda, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 16
WorldCereal: a dynamic open-source system for global-scale, seasonal, and reproducible crop and irrigation mapping
Kristof Van Tricht, Jeroen Degerickx, Sven Gilliams, et al.
Earth system science data (2023) Vol. 15, Iss. 12, pp. 5491-5515
Open Access | Times Cited: 26
Mapping upland crop–rice cropping systems for targeted sustainable intensification in South China
Bingwen Qiu, Linhai Yu, Peng Yang, et al.
The Crop Journal (2024) Vol. 12, Iss. 2, pp. 614-629
Open Access | Times Cited: 7
A generalized model for mapping sunflower areas using Sentinel-1 SAR data
Abdul Qadir, Sergii Skakun, Nataliia Kussul, et al.
Remote Sensing of Environment (2024) Vol. 306, pp. 114132-114132
Closed Access | Times Cited: 7
National-scale 10-m maps of cropland use intensity in China during 2018–2023
Bingwen Qiu, Baoli Liu, Zhenghong Tang, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 7
Global 30-m seamless data cube (2000–2022) of land surface reflectance generated from Landsat-5,7,8,9 and MODIS Terra constellations
Shuang Chen, Jie Wang, Qiang Liu, et al.
(2024)
Open Access | Times Cited: 6
Estimation of sunflower planted areas in Ukraine during full-scale Russian invasion: Insights from Sentinel-1 SAR data
Abdul Qadir, Sergii Skakun, Inbal Becker‐Reshef, et al.
Science of Remote Sensing (2024) Vol. 10, pp. 100139-100139
Open Access | Times Cited: 5
ChinaSoyArea10m: a dataset of soybean-planting areas with a spatial resolution of 10 m across China from 2017 to 2021
Qinghang Mei, Zhao Zhang, Jichong Han, et al.
Earth system science data (2024) Vol. 16, Iss. 7, pp. 3213-3231
Open Access | Times Cited: 5
Ndci-Mgmm: A Novel and Automated Model for Dynamic Maize Mapping During the Growing Season
Yuan Gao, Yaozhong Pan, Xiufang Zhu, et al.
(2025)
Closed Access
Accounting for spatial variability with geo-aware random forest: A case study for US major crop mapping
Yiqun Xie, Anh N. Nhu, Xiao‐Peng Song, et al.
Remote Sensing of Environment (2025) Vol. 319, pp. 114585-114585
Closed Access
Assessing the Impact of Cloud Removal and Reconstruction Through Sar-Optical Data Fusion on Crop Mapping Accuracy
Chenxi Duan, Mariana Belgiu, Alfred Stein
(2025)
Closed Access
Characterization of Irrigated Rice Cultivation Cycles and Classification in Brazil Using Time Series Similarity and Machine Learning Models with Sentinel Imagery
André Dalla Bernardina Garcia, Ieda Del’Arco Sanches, Victor Hugo Rohden Prudente, et al.
AgriEngineering (2025) Vol. 7, Iss. 3, pp. 65-65
Open Access
Large-Scale Monitoring of Potatoes Late Blight Using Multi-Source Time-Series Data and Google Earth Engine
Zelong Chi, Hong Chen, Sheng Chang, et al.
Remote Sensing (2025) Vol. 17, Iss. 6, pp. 978-978
Open Access
Towards automation of national scale cropping pattern mapping by coupling Sentinel-1/2 data: A 10-m map of crop rotation systems for wheat in China
Bingwen Qiu, Zhengrong Li, Peng Yang, et al.
Agricultural Systems (2025) Vol. 227, pp. 104338-104338
Closed Access
A robust approach for large-scale cropping intensity mapping in smallholder farms from vegetation, brownness indices and SAR time series
Bingwen Qiu, Hu Xiang, Peng Yang, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 203, pp. 328-344
Closed Access | Times Cited: 12
WorldCereal: a dynamic open-source system for global-scale, seasonal, and reproducible crop and irrigation mapping
Kristof Van Tricht, Jeroen Degerickx, Sven Gilliams, et al.
(2023)
Open Access | Times Cited: 11
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: 4
The future of global land change monitoring
Xiao‐Peng Song
International Journal of Digital Earth (2023) Vol. 16, Iss. 1, pp. 2279-2300
Open Access | Times Cited: 10
Estimating Winter Cover Crop Biomass in France Using Optical Sentinel-2 Dense Image Time Series and Machine Learning
Hugo do Nascimento Bendini, Rémy Fieuzal, Pierre Carrère, et al.
Remote Sensing (2024) Vol. 16, Iss. 5, pp. 834-834
Open Access | Times Cited: 3
National-scale 10 m annual maize maps for China and the contiguous United States using a robust index from Sentinel-2 time series
Yingze Huang, Bingwen Qiu, Peng Yang, et al.
Computers and Electronics in Agriculture (2024) Vol. 221, pp. 109018-109018
Closed Access | Times Cited: 2
An orchard mapping index and mapping algorithm coupling orchard phenology and green-holding characteristics from time-series sentinel-2 images
Riqiang Chen, Hao Yang, Wenping Liu, et al.
Computers and Electronics in Agriculture (2024) Vol. 226, pp. 109437-109437
Closed Access | Times Cited: 2
Global 30 m seamless data cube (2000–2022) of land surface reflectance generated from Landsat 5, 7, 8, and 9 and MODIS Terra constellations
Shuang Chen, Jie Wang, Qiang Liu, et al.
Earth system science data (2024) Vol. 16, Iss. 11, pp. 5449-5475
Open Access | Times Cited: 2
A new transferable deep learning approach for crop mapping
Hongyan Che, Yaozhong Pan, Xingsheng Xia, et al.
GIScience & Remote Sensing (2024) Vol. 61, Iss. 1
Open Access | Times Cited: 1
Using Time Series Sentinel Images for Object-Oriented Crop Extraction of Planting Structure in the Google Earth Engine
Daiwei Zhang, Chunyang Ying, Lei Wu, et al.
Agronomy (2023) Vol. 13, Iss. 9, pp. 2350-2350
Open Access | Times Cited: 4
Agricultural Land Cover Mapping through Two Deep Learning Models in the Framework of EU’s CAP Activities Using Sentinel-2 Multitemporal Imagery
Eleni Papadopoulou, Giorgos Mallinis, Sofia Siachalou, et al.
Remote Sensing (2023) Vol. 15, Iss. 19, pp. 4657-4657
Open Access | Times Cited: 4
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