Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

QuickBird satellite versus ground-based multi-spectral data for estimating nitrogen status of irrigated maize
Walter C. Bausch, Raj Khosla
Precision Agriculture (2009) Vol. 11, Iss. 3, pp. 274-290
Closed Access | Times Cited: 67

Showing 1-25 of 67 citing articles:

The application of small unmanned aerial systems for precision agriculture: a review
Chunhua Zhang, John M. Kovacs
Precision Agriculture (2012) Vol. 13, Iss. 6, pp. 693-712
Closed Access | Times Cited: 1620
Twenty five years of remote sensing in precision agriculture: Key advances and remaining knowledge gaps
D. J. Mulla
Biosystems Engineering (2012) Vol. 114, Iss. 4, pp. 358-371
Closed Access | Times Cited: 1594
Analysis of Vegetation Indices to Determine Nitrogen Application and Yield Prediction in Maize (Zea mays L.) from a Standard UAV Service
Ángel Maresma, Mar Ariza-Sentís, E. Martínez, et al.
Remote Sensing (2016) Vol. 8, Iss. 12, pp. 973-973
Open Access | Times Cited: 186
Detection of rice sheath blight using an unmanned aerial system with high-resolution color and multispectral imaging
Dongyan Zhang, Xin‐Gen Zhou, Jian Zhang, et al.
PLoS ONE (2018) Vol. 13, Iss. 5, pp. e0187470-e0187470
Open Access | Times Cited: 126
Unmanned Aerial Vehicle to Estimate Nitrogen Status of Turfgrasses
Lisa Caturegli, Matteo Corniglia, Monica Gaetani, et al.
PLoS ONE (2016) Vol. 11, Iss. 6, pp. e0158268-e0158268
Open Access | Times Cited: 113
Survey of Drones for Agriculture Automation from Planting to Harvest
Marek Kulbacki, Jakub Segen, Wojciech Knieć, et al.
(2018), pp. 000353-000358
Closed Access | Times Cited: 101
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: 96
Monitoring of sugar beet growth indicators using wide-dynamic-range vegetation index (WDRVI) derived from UAV multispectral images
Yang Cao, Guo Long Li, Yuan Kai Luo, et al.
Computers and Electronics in Agriculture (2020) Vol. 171, pp. 105331-105331
Closed Access | Times Cited: 72
From Satellite to UAV-Based Remote Sensing: A Review on Precision Agriculture
Swee King Phang, T. Chiang, Ari Happonen, et al.
IEEE Access (2023) Vol. 11, pp. 127057-127076
Open Access | Times Cited: 33
Precision Agriculture for Sustainability and Environmental Protection

Routledge eBooks (2013)
Open Access | Times Cited: 88
Potential of RapidEye and WorldView-2 Satellite Data for Improving Rice Nitrogen Status Monitoring at Different Growth Stages
Shanyu Huang, Yuxin Miao, Fei Yuan, et al.
Remote Sensing (2017) Vol. 9, Iss. 3, pp. 227-227
Open Access | Times Cited: 79
Does remote and proximal optical sensing successfully estimate maize variables? A review
M. Corti, Daniele Cavalli, Giovanni Cabassi, et al.
European Journal of Agronomy (2018) Vol. 99, pp. 37-50
Closed Access | Times Cited: 65
A methodology based on GEOBIA and WorldView-3 imagery to derive vegetation indices at tree crown detail in olive orchards
Francesco Solano, Salvatore Di Fazio, Giuseppe Modica
International Journal of Applied Earth Observation and Geoinformation (2019) Vol. 83, pp. 101912-101912
Closed Access | Times Cited: 65
Mapping spatial variability of crop growth conditions using RapidEye data in Northern Ontario, Canada
Jiali Shang, Jiangui Liu, B. L., et al.
Remote Sensing of Environment (2015) Vol. 168, pp. 113-125
Closed Access | Times Cited: 65
Quantifying spatial variability of indigenous nitrogen supply for precision nitrogen management in small scale farming
Qiang Cao, Zhenling Cui, Xinping Chen, et al.
Precision Agriculture (2011) Vol. 13, Iss. 1, pp. 45-61
Closed Access | Times Cited: 72
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: 57
Comparison of winter wheat NDVI data derived from Landsat 8 and active optical sensor at field scale
Dariusz Gozdowski, Michał Stępień, Ewa Panek, et al.
Remote Sensing Applications Society and Environment (2020) Vol. 20, pp. 100409-100409
Closed Access | Times Cited: 46
Application of Artificial Intelligence and Sensor Fusion for Soil Organic Matter Prediction
Md Jasim Uddin, Jordan Sherrell, Anahita Emami, et al.
Sensors (2024) Vol. 24, Iss. 7, pp. 2357-2357
Open Access | Times Cited: 4
Planning and optimization of nitrogen fertilization in corn based on multispectral images and leaf nitrogen content using unmanned aerial vehicle (UAV)
Diogo Castilho Silva, B. E. Madari, Maria da Conceição Santana Carvalho, et al.
Precision Agriculture (2025) Vol. 26, Iss. 2
Closed Access
An Airborne Multispectral Imaging System Based on Two Consumer-Grade Cameras for Agricultural Remote Sensing
Chenghai Yang, John K. Westbrook, Charles P.‐C. Suh, et al.
Remote Sensing (2014) Vol. 6, Iss. 6, pp. 5257-5278
Open Access | Times Cited: 50
Comparison of Satellite Imagery and Ground‐Based Active Optical Sensors as Yield Predictors in Sugar Beet, Spring Wheat, Corn, and Sunflower
Honggang Bu, Lakesh K. Sharma, Anne Denton, et al.
Agronomy Journal (2016) Vol. 109, Iss. 1, pp. 299-308
Open Access | Times Cited: 44
High resolution satellite imaging sensors for precision agriculture
Chenghai Yang
Frontiers of Agricultural Science and Engineering (2018)
Open Access | Times Cited: 38
Combining Spatial and Temporal Corn Silage Yield Variability for Management Zone Development
Tulsi P. Kharel, Ángel Maresma, Karl Czymmek, et al.
Agronomy Journal (2019) Vol. 111, Iss. 6, pp. 2703-2711
Closed Access | Times Cited: 37
Comparison of Proximal and Remote Sensing for the Diagnosis of Crop Status in Site-Specific Crop Management
Jiří Mezera, Vojtěch Lukas, Igor Horniaček, et al.
Sensors (2021) Vol. 22, Iss. 1, pp. 19-19
Open Access | Times Cited: 31
Total nitrogen estimation in agricultural soils via aerial multispectral imaging and LIBS
Md Abir Hossen, Prasoon K. Diwakar, Shankarachary Ragi
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 28
Page 1 - Next Page

Scroll to top