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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:

Special Issue “Hyperspectral Remote Sensing of Agriculture and Vegetation”
Simone Pascucci, Stefano Pignatti, Raffaele Casa, et al.
Remote Sensing (2020) Vol. 12, Iss. 21, pp. 3665-3665
Open Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

A systematic review on hyperspectral imaging technology with a machine and deep learning methodology for agricultural applications
Atiya Khan, Amol D. Vibhute, Shankar Mali, et al.
Ecological Informatics (2022) Vol. 69, pp. 101678-101678
Closed Access | Times Cited: 220
Ensuring Agricultural Sustainability through Remote Sensing in the Era of Agriculture 5.0
Vanesa Martos, Ahmad Ali, P. Cartujo, et al.
Applied Sciences (2021) Vol. 11, Iss. 13, pp. 5911-5911
Open Access | Times Cited: 139
MSFF: A Multi-Scale Feature Fusion Convolutional Neural Network for Hyperspectral Image Classification
Gu Gong, Xiaopeng Wang, Jiahua Zhang, et al.
Electronics (2025) Vol. 14, Iss. 4, pp. 797-797
Open Access | Times Cited: 1
UAV-Based Hyperspectral Monitoring Using Push-Broom and Snapshot Sensors: A Multisite Assessment for Precision Viticulture Applications
Joaquim J. Sousa, Piero Toscano, Alessandro Matese, et al.
Sensors (2022) Vol. 22, Iss. 17, pp. 6574-6574
Open Access | Times Cited: 37
Assessing the Prospects of Remote Sensing Maize Leaf Area Index Using UAV-Derived Multi-Spectral Data in Smallholder Farms across the Growing Season
Siphiwokuhle Buthelezi, Onisimo Mutanga, Mbulisi Sibanda, et al.
Remote Sensing (2023) Vol. 15, Iss. 6, pp. 1597-1597
Open Access | Times Cited: 21
Machine learning as a tool to predict potassium concentration in soybean leaf using hyperspectral data
Renato Herrig Furlanetto, Luís Guilherme Teixeira Crusiol, João Vitor Ferreira Gonçalves, et al.
Precision Agriculture (2023) Vol. 24, Iss. 6, pp. 2264-2292
Closed Access | Times Cited: 16
Fine Crop Classification Based on UAV Hyperspectral Images and Random Forest
Zhihua Wang, Zhan Zhao, Chenglong Yin
ISPRS International Journal of Geo-Information (2022) Vol. 11, Iss. 4, pp. 252-252
Open Access | Times Cited: 24
Improved Na+ estimation from hyperspectral data of saline vegetation by machine learning
Daosheng Chen, Zhang Fei, Mou Leong Tan, et al.
Computers and Electronics in Agriculture (2022) Vol. 196, pp. 106862-106862
Closed Access | Times Cited: 20
Rapid Identification of Choy Sum Seeds Infected with Penicillium decumbens Based on Hyperspectral Imaging and Stacking Ensemble Learning
Baiheng Xie, Bijuan Chen, Jinfang Ma, et al.
Food Analytical Methods (2024) Vol. 17, Iss. 3, pp. 416-425
Closed Access | Times Cited: 4
Unveiling the potential of Brachiaria ruziziensis: Comparative analysis of multivariate and machine learning models for biomass and NPK prediction using Vis-NIR-SWIR spectroscopy
Marlon Rodrigues, Everson Cézar, Gláucio Leboso Alemparte Abrantes dos Santos, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2025) Vol. 334, pp. 125930-125930
Closed Access
Evaluation of Scale Effects on UAV-Based Hyperspectral Imaging for Remote Sensing of Vegetation
Tie Wang, Tingyu Guan, Feng Qiu, et al.
Remote Sensing (2025) Vol. 17, Iss. 6, pp. 1080-1080
Open Access
Modern Trends and Recent Applications of Hyperspectral Imaging: A Review
Minkang Cheng, Arvind Mukundan, Riya Karmakar, et al.
Technologies (2025) Vol. 13, Iss. 5, pp. 170-170
Open Access
Systematic meta-analysis of computer-aided detection to detect early esophageal cancer using hyperspectral imaging
Wei–Chih Liao, Arvind Mukundan, Cleorita Sadiaza, et al.
Biomedical Optics Express (2023) Vol. 14, Iss. 8, pp. 4383-4383
Open Access | Times Cited: 10
A New Dual-Branch Embedded Multivariate Attention Network for Hyperspectral Remote Sensing Classification
Yuyi Chen, Xiaopeng Wang, Jiahua Zhang, et al.
Remote Sensing (2024) Vol. 16, Iss. 11, pp. 2029-2029
Open Access | Times Cited: 3
Combining Heat Stress with Pre-Existing Drought Exacerbated the Effects on Chlorophyll Fluorescence Rise Kinetics in Four Contrasting Plant Species
Lingling Zhu, Wen Wei, Michael R. Thorpe, et al.
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 19, pp. 10682-10682
Open Access | Times Cited: 21
Analyses of the Impact of Soil Conditions and Soil Degradation on Vegetation Vitality and Crop Productivity Based on Airborne Hyperspectral VNIR–SWIR–TIR Data in a Semi-Arid Rainfed Agricultural Area (Camarena, Central Spain)
Robert Milewski, Thomas Schmid, Sabine Chabrillat, et al.
Remote Sensing (2022) Vol. 14, Iss. 20, pp. 5131-5131
Open Access | Times Cited: 13
Machine learning techniques for agricultural image recognition
Mohammad Reza Keyvanpour, Mehrnoush Barani Shirzad
Elsevier eBooks (2022), pp. 283-305
Closed Access | Times Cited: 10
Combining Hyperspectral, LiDAR, and Forestry Data to Characterize Riparian Forests along Age and Hydrological Gradients
Julien Godfroy, Jérôme Lejot, Luca Demarchi, et al.
Remote Sensing (2022) Vol. 15, Iss. 1, pp. 17-17
Open Access | Times Cited: 8
Convolution-augmented transformer network for hyperspectral image subspace clustering
Zhongbiao Zhang, Huajun Wang, Shujun Liu, et al.
Earth Science Informatics (2023) Vol. 16, Iss. 3, pp. 2439-2453
Closed Access | Times Cited: 4
Inversion study of the meadow steppe above-ground biomass based on ground and airborne hyperspectral data
Hefei Wen, Yong Zhang, Wang Xiu, et al.
Geocarto International (2024) Vol. 39, Iss. 1
Open Access | Times Cited: 1
Spatial correlation filter and its application in hyperspectral ground objects recognition
Xin Zhang, Junlong Zhao, Chunlei Zhang
International Journal of Remote Sensing (2021) Vol. 42, Iss. 18, pp. 7053-7074
Closed Access | Times Cited: 4
Case Study on the Fitting Method of Typical Objects
Liu Zhang, Jiakun Zhang, Hongzhen Song, et al.
Photonics (2021) Vol. 8, Iss. 10, pp. 432-432
Open Access | Times Cited: 4
Semantic Segmentation in Large-Size Orthomosaics to Detect the Vegetation Area in Opuntia spp. Crop
Arturo Duarte-Rangel, César Camacho-Bello, Eduardo Cornejo-Velázquez, et al.
Journal of Imaging (2024) Vol. 10, Iss. 8, pp. 187-187
Open Access
TL-AGRO: Transfer Learning-based Perilous Insect Detection Framework for Smart Agriculture Underlying Edge Computing
Fenil Ramoliya, Krisha Darji, Riya Kakkar, et al.
(2024), pp. 1-6
Closed Access
Bibliometric Computation Mapping Analysis of Publication Machine and Deep Learning for Food Crops Mapping using VOSviewer
Riki Ridwana, Muhammad Kamal, Sanjiwana Arjasakusuma, et al.
Journal of Advanced Research in Applied Sciences and Engineering Technology (2024) Vol. 50, Iss. 2, pp. 42-59
Open Access
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