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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:

Applications of satellite ‘hyper-sensing’ in Chinese agriculture: Challenges and opportunities
Alex O. Onojeghuo, George Alan Blackburn, Jingfeng Huang, et al.
International Journal of Applied Earth Observation and Geoinformation (2017) Vol. 64, pp. 62-86
Open Access | Times Cited: 60

Showing 1-25 of 60 citing articles:

A Survey on Smart Agriculture: Development Modes, Technologies, and Security and Privacy Challenges
Xing Yang, Lei Shu, Jianing Chen, et al.
IEEE/CAA Journal of Automatica Sinica (2020) Vol. 8, Iss. 2, pp. 273-302
Open Access | Times Cited: 316
A Survey on Nongeostationary Satellite Systems: The Communication Perspective
Hayder Al-Hraishawi, Houcine Chougrani, Steven Kisseleff, et al.
IEEE Communications Surveys & Tutorials (2022) Vol. 25, Iss. 1, pp. 101-132
Open Access | Times Cited: 141
Smart Sensors and Smart Data for Precision Agriculture: A Review
Abdellatif Soussi, Enrico Zero, Roberto Sacile, et al.
Sensors (2024) Vol. 24, Iss. 8, pp. 2647-2647
Open Access | Times Cited: 73
Landslide Detection of Hyperspectral Remote Sensing Data Based on Deep Learning With Constrains
Chengming Ye, Yao Li, Peng Cui, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2019) Vol. 12, Iss. 12, pp. 5047-5060
Closed Access | Times Cited: 131
Combining spectral and textural information in UAV hyperspectral images to estimate rice grain yield
Fumin Wang, Qiuxiang Yi, Jinghui Hu, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 102, pp. 102397-102397
Open Access | Times Cited: 104
Mapping stocks of soil total nitrogen using remote sensing data: A comparison of random forest models with different predictors
Yue Zhang, Biao Sui, Haiou Shen, et al.
Computers and Electronics in Agriculture (2019) Vol. 160, pp. 23-30
Closed Access | Times Cited: 99
Soil Properties Spatial Variability and Delineation of Site-Specific Management Zones Based on Soil Fertility Using Fuzzy Clustering in a Hilly Field in Jianyang, Sichuan, China
Mohamed S. Metwally, Sameh Shaddad, Manqiang Liu, et al.
Sustainability (2019) Vol. 11, Iss. 24, pp. 7084-7084
Open Access | Times Cited: 85
Estimation of Paddy Rice Nitrogen Content and Accumulation Both at Leaf and Plant Levels from UAV Hyperspectral Imagery
Li Wang, Shuisen Chen, Dan Li, et al.
Remote Sensing (2021) Vol. 13, Iss. 15, pp. 2956-2956
Open Access | Times Cited: 67
Improving harvester yield maps postprocessing leveraging remote sensing data in rice crop
David Fita, Constanza Rubio, B. Franch, et al.
Precision Agriculture (2025) Vol. 26, Iss. 2
Open Access | Times Cited: 1
Characterization of N variations in different organs of winter wheat and mapping NUE using low altitude UAV-based remote sensing
Falv Wang, Jingcheng Zhang, Wei Li, et al.
Precision Agriculture (2025) Vol. 26, Iss. 2
Open Access | Times Cited: 1
Estimation methods developing with remote sensing information for energy crop biomass: A comparative review
Zhenhua Chao, Ning Liu, Peidong Zhang, et al.
Biomass and Bioenergy (2019) Vol. 122, pp. 414-425
Closed Access | Times Cited: 65
Phenology-Based Rice Paddy Mapping Using Multi-Source Satellite Imagery and a Fusion Algorithm Applied to the Poyang Lake Plain, Southern China
Mingjun Ding, Qihui Guan, Lanhui Li, et al.
Remote Sensing (2020) Vol. 12, Iss. 6, pp. 1022-1022
Open Access | Times Cited: 55
Crop Monitoring Strategy Based on Remote Sensing Data (Sentinel-2 and Planet), Study Case in a Rice Field after Applying Glycinebetaine
A. San Bautista, David Fita, B. Franch, et al.
Agronomy (2022) Vol. 12, Iss. 3, pp. 708-708
Open Access | Times Cited: 32
IoT-Based Systems for Soil Nutrients Assessment in Horticulture
Stefan Postolache, Pedro Sebastião, Vítor Viegas, et al.
Sensors (2022) Vol. 23, Iss. 1, pp. 403-403
Open Access | Times Cited: 30
Can Digital Intelligence and Cyber-Physical-Social Systems Achieve Global Food Security and Sustainability?
Yanfen Wang, Mengzhen Kang, Yali Liu, et al.
IEEE/CAA Journal of Automatica Sinica (2023) Vol. 10, Iss. 11, pp. 2070-2080
Closed Access | Times Cited: 17
Unmanned aerial system and satellite-based high resolution imagery for high-throughput phenotyping in dry bean
Sindhuja Sankaran, Juan José Quirós, Phillip N. Miklas
Computers and Electronics in Agriculture (2019) Vol. 165, pp. 104965-104965
Open Access | Times Cited: 53
AI and IoT-based collaborative business ecosystem: a case in Chinese fish farming industry
Xiaoping Yang, Dongmei Cao, Jing Chen, et al.
International Journal of Technology Management (2020) Vol. 82, Iss. 2, pp. 151-151
Open Access | Times Cited: 43
Progress of hyperspectral data processing and modelling for cereal crop nitrogen monitoring
Yuanyuan Fu, Guijun Yang, Zhenhai Li, et al.
Computers and Electronics in Agriculture (2020) Vol. 172, pp. 105321-105321
Closed Access | Times Cited: 40
Imagining AI-driven decision making for managing farming in developing and emerging economies
Ume Chukwuma, K. G. Gebremedhin, Daniel Dooyum Uyeh
Computers and Electronics in Agriculture (2024) Vol. 221, pp. 108946-108946
Closed Access | Times Cited: 5
Agriculture Phenology Monitoring Using NDVI Time Series Based on Remote Sensing Satellites: A Case Study of Guangdong, China
Komal Choudhary, Wenzhong Shi, Mukesh Singh Boori, et al.
Optical Memory and Neural Networks (2019) Vol. 28, Iss. 3, pp. 204-214
Open Access | Times Cited: 37
Predicting Soybean Yield at the Regional Scale Using Remote Sensing and Climatic Data
Alexey Stepanov, Konstantin Dubrovin, А. А. Сорокин, et al.
Remote Sensing (2020) Vol. 12, Iss. 12, pp. 1936-1936
Open Access | Times Cited: 35
Parcel-level mapping of crops in a smallholder agricultural area: A case of central China using single-temporal VHSR imagery
Peng Zhang, Shougeng Hu, Weidong Li, et al.
Computers and Electronics in Agriculture (2020) Vol. 175, pp. 105581-105581
Closed Access | Times Cited: 31
In-season mapping of rice yield potential at jointing stage using Sentinel-2 images integrated with high-precision UAS data
Jiayi Zhang, Yuanyuan Pan, Tao Xi, et al.
European Journal of Agronomy (2023) Vol. 146, pp. 126808-126808
Closed Access | Times Cited: 10
Remote Sensor Images and Vegetation Indices to Optimize Rice Yield Analysis for Specific Growth Stages Within Extensive Data
David Fita, Constanza Rubio, Antonio Uris, et al.
Applied Sciences (2025) Vol. 15, Iss. 7, pp. 3870-3870
Open Access
The Resilience of Agro Ecosystems Through Higher Education; Identification of Key Thematic Areas
Asitha de Silva, Dilanthi Amaratunga, Kinkini Hemachandra, et al.
(2025), pp. 559-586
Closed Access
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