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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:

Estimating pasture quality of Mediterranean grasslands using hyperspectral narrow bands from field spectroscopy by Random Forest and PLS regressions
Jesús Fernández‐Habas, Mónica Carriere Cañada, Alma María García Moreno, et al.
Computers and Electronics in Agriculture (2021) Vol. 192, pp. 106614-106614
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Monitoring Yield and Quality of Forages and Grassland in the View of Precision Agriculture Applications—A Review
Abid Ali, Hans‐Peter Kaul
Remote Sensing (2025) Vol. 17, Iss. 2, pp. 279-279
Open Access | Times Cited: 2
Data preprocessing strategy in constructing convolutional neural network classifier based on constrained particle swarm optimization with fuzzy penalty function
Kun Zhou, Sung‐Kwun Oh, Witold Pedrycz, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 117, pp. 105580-105580
Closed Access | Times Cited: 25
Tools for Predicting Forage Growth in Rangelands and Economic Analyses—A Systematic Review
Srinivasagan N. Subhashree, C. Igathinathane, Adnan Akyüz, et al.
Agriculture (2023) Vol. 13, Iss. 2, pp. 455-455
Open Access | Times Cited: 15
Mapping the forage nitrogen, phosphorus, and potassium contents of alpine grasslands by integrating Sentinel-2 and Tiangong-2 data
Xuanfan Zhang, Tiangang Liang, Jinlong Gao, et al.
Plant Methods (2023) Vol. 19, Iss. 1
Open Access | Times Cited: 14
Improving the estimation accuracy of alfalfa quality based on UAV hyperspectral imagery by using data enhancement and synergistic band selection strategies
Shuai Fu, Jie Liu, Jinlong Gao, et al.
Computers and Electronics in Agriculture (2025) Vol. 234, pp. 110305-110305
Closed Access
Hyperspectral Data Can Classify Plant Functional Groups Within New Zealand Hill Farm Pasture
Thomas A. Cushnahan, Miles Grafton, Diane Pearson, et al.
Remote Sensing (2025) Vol. 17, Iss. 7, pp. 1120-1120
Open Access
Improving the prediction of vegetation carbon, phosphorus, and C:P ratio of alpine grassland in the Three-River Headwater Region by combining the field and laboratory reflectance spectroscopy
Shuangyin Zhang, Baocheng Zhao, Jian Xu, et al.
Soil and Tillage Research (2025) Vol. 251, pp. 106563-106563
Closed Access
High-precision estimation of grass quality and quantity using UAS-based VNIR and SWIR hyperspectral cameras and machine learning
Raquel Alves de Oliveira, Roope Näsi, Panu Korhonen, et al.
Precision Agriculture (2023) Vol. 25, Iss. 1, pp. 186-220
Open Access | Times Cited: 9
Comparative Analysis of Feature Importance Algorithms for Grassland Aboveground Biomass and Nutrient Prediction Using Hyperspectral Data
Yue Zhao, Dawei Xu, Shuzhen Li, et al.
Agriculture (2024) Vol. 14, Iss. 3, pp. 389-389
Open Access | Times Cited: 3
Cyanobacteria blue-green algae prediction enhancement using hybrid machine learning–based gamma test variable selection and empirical wavelet transform
Salim Heddam, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Mayadah W. Falah, et al.
Environmental Science and Pollution Research (2022) Vol. 29, Iss. 51, pp. 77157-77187
Closed Access | Times Cited: 14
Testing a novel pasture quality index using remote sensing tools in semiarid and Mediterranean grasslands
Shay Adar, Marcelo Sternberg, Eli Argaman, et al.
Agriculture Ecosystems & Environment (2023) Vol. 357, pp. 108674-108674
Closed Access | Times Cited: 8
Predicting TFe content and sorting iron ores from hyperspectral image by variational mode decomposition-based spectral feature
Cheng Nie, Jinbao Jiang, Jiushuai Deng, et al.
Journal of Cleaner Production (2023) Vol. 429, pp. 139629-139629
Closed Access | Times Cited: 7
Improving the Accuracy of Vegetation Index Retrieval for Biomass by Combining Ground-UAV Hyperspectral Data–A New Method for Inner Mongolia Typical Grasslands
Ruochen Wang, Jianjun Dong, Lishan Jin, et al.
Phyton (2024) Vol. 93, Iss. 2, pp. 387-411
Open Access | Times Cited: 2
Effects of the Spatial Resolution of UAV Images on the Prediction and Transferability of Nitrogen Content Model for Winter Wheat
Yan Guo, Jia He, Jingyi Huang, et al.
Drones (2022) Vol. 6, Iss. 10, pp. 299-299
Open Access | Times Cited: 10
Leveraging Google Earth Engine to estimate foliar C: N ratio in an African savannah rangeland using Sentinel 2 data
Adeola M. Arogoundade, Onisimo Mutanga, John Odindi, et al.
Remote Sensing Applications Society and Environment (2023) Vol. 30, pp. 100981-100981
Closed Access | Times Cited: 4
Establishing a Hyperspectral Model for the Chlorophyll and Crude Protein Content in Alpine Meadows Using a Backward Feature Elimination Method
Tong Ji, Xiaoni Liu
Agriculture (2024) Vol. 14, Iss. 5, pp. 757-757
Open Access | Times Cited: 1
Hyperspectral remote sensing of forage stoichiometric ratios in the senescent stage of alpine grasslands
Jinlong Gao, Tiangang Liang, Dongmei Zhang, et al.
Field Crops Research (2024) Vol. 313, pp. 109427-109427
Closed Access | Times Cited: 1
Combining Hyperspectral Techniques and Genome-Wide Association Studies to Predict Peanut Seed Vigor and Explore Associated Genetic Loci
Zhenhui Xiong, Shiyuan Liu, Jiangtao Tan, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 15, pp. 8414-8414
Open Access | Times Cited: 1
Identifying climatic drivers of forage quantity and quality in Mediterranean rangelands using remote sensing
Shay Adar, Tarin Paz‐Kagan, Eli Argaman, et al.
The Science of The Total Environment (2024) Vol. 957, pp. 177797-177797
Closed Access | Times Cited: 1
Estimation of crude protein content in natural pasture grass using unmanned aerial vehicle hyperspectral data
Huimin Qi, Ang Chen, Xiuchun Yang, et al.
Computers and Electronics in Agriculture (2024) Vol. 229, pp. 109714-109714
Closed Access | Times Cited: 1
Estimation of the nutritive value of grasslands with the Yara N‐sensor field spectrometer
J. Morel, Zhenjiang Zhou, Leonardo Amaral Monteiro, et al.
The Plant Phenome Journal (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 5
Drones - Various Applications
Mehmet Koç, Ahmed Tuğrul, O. H. El Sayed, et al.
IntechOpen eBooks (2023)
Open Access | Times Cited: 2
The role of remote sensing in tropical grassland nutrient estimation: a review
Adeola M. Arogoundade, Onisimo Mutanga, John Odindi, et al.
Environmental Monitoring and Assessment (2023) Vol. 195, Iss. 8
Open Access | Times Cited: 2
A Farmer’s Perspective on the Relevance of Grassland-Related Innovations in Mediterranean Dehesa Systems
Jesús Fernández‐Habas, Pilar Fernández‐Rebollo, Rosa Gallardo‐Cobos, et al.
Forests (2022) Vol. 13, Iss. 8, pp. 1182-1182
Open Access | Times Cited: 4
Identification and quantification of adulterated collagen powder by fluorescence hyperspectral technology
Yi Lin, Youli Wu, Rongsheng Fan, et al.
Journal of Food Measurement & Characterization (2024) Vol. 18, Iss. 7, pp. 5423-5436
Closed Access
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