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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:

Machine Learning Using Hyperspectral Data Inaccurately Predicts Plant Traits Under Spatial Dependency
Alby Duarte Rocha, T.A. Groen, Andrew K. Skidmore, et al.
Remote Sensing (2018) Vol. 10, Iss. 8, pp. 1263-1263
Open Access | Times Cited: 109

Showing 1-25 of 109 citing articles:

A harmonized global nighttime light dataset 1992–2018
Xuecao Li, Yuyu Zhou, Min Zhao, et al.
Scientific Data (2020) Vol. 7, Iss. 1
Open Access | Times Cited: 453
Importance of spatial predictor variable selection in machine learning applications – Moving from data reproduction to spatial prediction
Hanna Meyer, Christoph Reudenbach, Stephan Wöllauer, et al.
Ecological Modelling (2019) Vol. 411, pp. 108815-108815
Open Access | Times Cited: 328
Internet of health things-driven deep learning system for detection and classification of cervical cells using transfer learning
Aditya Khamparia, Deepak Gupta, Victor Hugo C. de Albuquerque, et al.
The Journal of Supercomputing (2020) Vol. 76, Iss. 11, pp. 8590-8608
Closed Access | Times Cited: 185
The spatiotemporal variation in heavy metals in China's farmland soil over the past 20 years: A meta-analysis
Shuyi Ren, Changqing Song, Sijing Ye, et al.
The Science of The Total Environment (2021) Vol. 806, pp. 150322-150322
Closed Access | Times Cited: 183
Application of Machine Learning Algorithms in Plant Breeding: Predicting Yield From Hyperspectral Reflectance in Soybean
Mohsen Yoosefzadeh-Najafabadi, Hugh J. Earl, Dan Tulpan, et al.
Frontiers in Plant Science (2021) Vol. 11
Open Access | Times Cited: 178
Spatially autocorrelated training and validation samples inflate performance assessment of convolutional neural networks
Teja Kattenborn, Felix Schiefer, Julian Frey, et al.
ISPRS Open Journal of Photogrammetry and Remote Sensing (2022) Vol. 5, pp. 100018-100018
Open Access | Times Cited: 83
Comparing land surface phenology of major European crops as derived from SAR and multispectral data of Sentinel-1 and -2
Michele Meroni, Raphaël d’Andrimont, Anton Vrieling, et al.
Remote Sensing of Environment (2020) Vol. 253, pp. 112232-112232
Open Access | Times Cited: 125
A Novel Semi-Supervised Convolutional Neural Network Method for Synthetic Aperture Radar Image Recognition
Zhenyu Yue, Fei Gao, Qingxu Xiong, et al.
Cognitive Computation (2019) Vol. 13, Iss. 4, pp. 795-806
Open Access | Times Cited: 102
Advances in BeiDou Navigation Satellite System (BDS) and satellite navigation augmentation technologies
Rui Li, Shuaiyong Zheng, Ershen Wang, et al.
Satellite Navigation (2020) Vol. 1, Iss. 1
Open Access | Times Cited: 92
A Cloud-Based Environment for Generating Yield Estimation Maps From Apple Orchards Using UAV Imagery and a Deep Learning Technique
Orly Enrique Apolo-Apolo, Manuel Pérez Ruiz, Jorge Martínez-Guanter, et al.
Frontiers in Plant Science (2020) Vol. 11
Open Access | Times Cited: 92
The hazardous 2017–2019 surge and river damming by Shispare Glacier, Karakoram
Rakesh Bhambri, C. Scott Watson, Kenneth Hewitt, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 82
Quantifying uncertainties in nighttime light retrievals from Suomi-NPP and NOAA-20 VIIRS Day/Night Band data
Zhuosen Wang, Miguel O. Román, Virginia Kalb, et al.
Remote Sensing of Environment (2021) Vol. 263, pp. 112557-112557
Open Access | Times Cited: 79
Carbon fluxes and environmental controls across different alpine grassland types on the Tibetan Plateau
Yuyang Wang, Jingfeng Xiao, Yaoming Ma, et al.
Agricultural and Forest Meteorology (2021) Vol. 311, pp. 108694-108694
Closed Access | Times Cited: 69
Leveraging Google Earth Engine platform to characterize and map small seasonal wetlands in the semi-arid environments of South Africa
Siyamthanda Gxokwe, Timothy Dube, Dominic Mazvimavi
The Science of The Total Environment (2021) Vol. 803, pp. 150139-150139
Open Access | Times Cited: 62
Nearest neighbour distance matching Leave‐One‐Out Cross‐Validation for map validation
Carles Milà, Jorge Mateu, Edzer Pebesma, et al.
Methods in Ecology and Evolution (2022) Vol. 13, Iss. 6, pp. 1304-1316
Open Access | Times Cited: 52
Hyperspectral proximal sensing of leaf chlorophyll content of spring maize based on a hybrid of physically based modelling and ensemble stacking
Xi Huang, Huade Guan, Liyuan Bo, et al.
Computers and Electronics in Agriculture (2023) Vol. 208, pp. 107745-107745
Closed Access | Times Cited: 38
Adapting machine learning for environmental spatial data - A review
Marta Jemeļjanova, Alexander Kmoch, Evelyn Uuemaa
Ecological Informatics (2024) Vol. 81, pp. 102634-102634
Open Access | Times Cited: 14
Repeat-pass SAR interferometry for land cover classification: A methodology using Sentinel-1 Short-Time-Series
Francescopaolo Sica, Andrea Pulella, Matteo Nannini, et al.
Remote Sensing of Environment (2019) Vol. 232, pp. 111277-111277
Closed Access | Times Cited: 74
Application of GNSS interferometric reflectometry for detecting storm surges
Dongju Peng, Emma M. Hill, Linlin Li, et al.
GPS Solutions (2019) Vol. 23, Iss. 2
Open Access | Times Cited: 65
DCAVN: Cervical cancer prediction and classification using deep convolutional and variational autoencoder network
Aditya Khamparia, Deepak Gupta, Joel J. P. C. Rodrigues, et al.
Multimedia Tools and Applications (2020) Vol. 80, Iss. 20, pp. 30399-30415
Closed Access | Times Cited: 54
Application of machine learning and genetic optimization algorithms for modeling and optimizing soybean yield using its component traits
Mohsen Yoosefzadeh-Najafabadi, Dan Tulpan, Milad Eskandari
PLoS ONE (2021) Vol. 16, Iss. 4, pp. e0250665-e0250665
Open Access | Times Cited: 52
Modeling of the Urban Heat Island on local climatic zones of a city using Sentinel 3 images: Urban determining factors
David Hidalgo García, Julián Arco Díaz
Urban Climate (2021) Vol. 37, pp. 100840-100840
Closed Access | Times Cited: 50
Global drought monitoring with big geospatial datasets using Google Earth Engine
Ramla Khan, Hammad Gilani
Environmental Science and Pollution Research (2021) Vol. 28, Iss. 14, pp. 17244-17264
Closed Access | Times Cited: 37
Meteorological causes of the catastrophic rains of October/November 2019 in equatorial Africa
Sharon E. Nicholson, Andreas H. Fink, Chris Funk, et al.
Global and Planetary Change (2021) Vol. 208, pp. 103687-103687
Open Access | Times Cited: 37
Comparative prediction accuracy of hyperspectral bands for different soybean crop variables: From leaf area to seed composition
Mariana V. Chiozza, Kyle Parmley, R. Higgins, et al.
Field Crops Research (2021) Vol. 271, pp. 108260-108260
Open Access | Times Cited: 36
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