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:

Challenges and opportunities in remote sensing-based crop monitoring: a review
Bingfang Wu, Miao Zhang, Hongwei Zeng, et al.
National Science Review (2022) Vol. 10, Iss. 4
Open Access | Times Cited: 101

Showing 1-25 of 101 citing articles:

Crop monitoring by multimodal remote sensing: A review
Priyabrata Karmakar, Shyh Wei Teng, Manzur Murshed, et al.
Remote Sensing Applications Society and Environment (2023) Vol. 33, pp. 101093-101093
Open Access | Times Cited: 45

Crop monitoring using remote sensing land use and land change data: Comparative analysis of deep learning methods using pre-trained CNN models
Min Peng, Yunxiang Liu, Asad Khan, et al.
Big Data Research (2024) Vol. 36, pp. 100448-100448
Closed Access | Times Cited: 23

Remote Sensing for Agriculture in the Era of Industry 5.0—A Survey
Nancy Victor, Praveen Kumar Reddy Maddikunta, Delphin Raj Kesari Mary, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 5920-5945
Open Access | Times Cited: 18

Impacts of mining on vegetation phenology and sensitivity assessment of spectral vegetation indices to mining activities in arid/semi-arid areas
Xiaofei Sun, Yingzhi Zhou, Songsong Jia, et al.
Journal of Environmental Management (2024) Vol. 356, pp. 120678-120678
Closed Access | Times Cited: 10

The application of hyperspectral imaging for wheat biotic and abiotic stress analysis: A review
Kun Zhang, Fangfang Yan, Ping Liu
Computers and Electronics in Agriculture (2024) Vol. 221, pp. 109008-109008
Closed Access | Times Cited: 9

Change detection of multisource remote sensing images: a review
Wandong Jiang, Yuli Sun, Lin Lei, et al.
International Journal of Digital Earth (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 8

Developing a spatiotemporal fusion framework for generating daily UAV images in agricultural areas using publicly available satellite data
Hamid Ebrahimy, Tong Yu, Zhou Zhang
ISPRS Journal of Photogrammetry and Remote Sensing (2025) Vol. 220, pp. 413-427
Closed Access

A high-efficiency lettuce quality detection system based on FPGA
Zhenzhong Wang, Tongge Li, Rong Du, et al.
Computers and Electronics in Agriculture (2025) Vol. 231, pp. 109978-109978
Closed Access

Representation Learning of Multi-Spectral Earth Observation Time Series and Evaluation for Crop Type Classification
Andrea González-Ramírez, Clement Atzberger, Deni Torres-Román, et al.
Remote Sensing (2025) Vol. 17, Iss. 3, pp. 378-378
Open Access

AGSPNet: A framework for parcel-scale crop fine-grained semantic change detection from UAV high-resolution imagery with agricultural geographic scene constraints
Yanjun Wang, Shaochun Li, Hengfan Cai, et al.
Computers and Electronics in Agriculture (2025) Vol. 231, pp. 109973-109973
Closed Access

Integrating Climate Data and Remote Sensing for Maize and Wheat Yield Modelling in Ethiopia’s Key Agricultural Region
Asfaw Kebede Kassa, Hongwei Zeng, Bingfang Wu, et al.
Remote Sensing (2025) Vol. 17, Iss. 3, pp. 491-491
Open Access

Determining the status of ecosystem degradation trends and their implications for ecological integrity in the southern African Grassland Biome
Loyd Rodney Vukeya, TM Mokotjomela, Neville Pillay
Global Ecology and Conservation (2025), pp. e03462-e03462
Open Access

Geospatial applications for crop assessment
V. M. Chowdary, Abhishek Chakraborty, Bhavana Sahay, et al.
Elsevier eBooks (2025), pp. 9-43
Closed Access

Peanut yield prediction using remote sensing and machine learning approaches based on phenological characteristics
Xuehui Hou, Junyong Zhang, Xiaoqing Luo, et al.
Computers and Electronics in Agriculture (2025) Vol. 232, pp. 110084-110084
Open Access

Towards a framework for monitoring crop productivity in agroforestry parklands of the Sudano-Sahel using Sentinel-1 and 2 time series
Julianne de Castro Oliveira, Martin Karlson, Abraham Sotongo Ouédraogo, et al.
Remote Sensing Applications Society and Environment (2025), pp. 101494-101494
Open Access

T&C-CROP: representing mechanistic crop growth with a terrestrial biosphere model (T&C, v1.5) – model formulation and validation
Jordi Buckley Paules, Simone Fatichi, Bonnie Warring, et al.
Geoscientific model development (2025) Vol. 18, Iss. 4, pp. 1287-1305
Open Access

A Python Framework for Crop Yield Estimation Using Sentinel-2 Satellite Data
Κωνσταντίνος Ντούρος, Κωνσταντίνος Παπαθεοδώρου, Georgios Gkologkinas, et al.
Earth (2025) Vol. 6, Iss. 1, pp. 15-15
Open Access

Mapping 1-km soybean yield across China from 2001 to 2020 based on ensemble learning
Min Zhang, Xinlei Xu, Junji Ou, et al.
Scientific Data (2025) Vol. 12, Iss. 1
Open Access

Time Series Remote Sensing Image Classification with a Data-Driven Active Deep Learning Approach
Guangchuan Xie, Peng Liu, Zugang Chen, et al.
Sensors (2025) Vol. 25, Iss. 6, pp. 1718-1718
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

Integrating Remote Sensing, GIS, and AI Technologies in Soil Erosion Studies
Salman Selmy, Dmitry E. Kucher, Ali RA Moursy
IntechOpen eBooks (2025)
Closed Access

A Study on EDGE AI Application in Crop Monitoring
N. A. Natraj, Pethuru Raj, M. Karpagam, et al.
(2025), pp. 51-72
Closed Access

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