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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:

Tree Species Classification in Mixed Deciduous Forests Using Very High Spatial Resolution Satellite Imagery and Machine Learning Methods
Martina Deur, Mateo Gašparović, Ivan Balenović
Remote Sensing (2020) Vol. 12, Iss. 23, pp. 3926-3926
Open Access | Times Cited: 56

Showing 1-25 of 56 citing articles:

Understanding the cooling capacity and its potential drivers in urban forests at the single tree and cluster scales
Chengcong Wang, Zhibin Ren, Xinyue Chang, et al.
Sustainable Cities and Society (2023) Vol. 93, pp. 104531-104531
Closed Access | Times Cited: 53
Forest tree species distribution for Europe 2000–2020: mapping potential and realized distributions using spatiotemporal machine learning
Carmelo Bonannella, Tomislav Hengl, Johannes Heisig, et al.
PeerJ (2022) Vol. 10, pp. e13728-e13728
Open Access | Times Cited: 59
Towards Improving Sustainable Water Management in Geothermal Fields: SVM and RF Land Use Monitoring
Widya Utama, Rista Fitri Indriani, Maman Hermana, et al.
Journal of Human Earth and Future (2024) Vol. 5, Iss. 2, pp. 216-242
Open Access | Times Cited: 17
Object-based classification of urban plant species from very high-resolution satellite imagery
Pierre Sicard, Fatimatou Coulibaly, Morgane Lameiro, et al.
Urban forestry & urban greening (2023) Vol. 81, pp. 127866-127866
Open Access | Times Cited: 17
Mapping Floods in Lowland Forest Using Sentinel-1 and Sentinel-2 Data and an Object-Based Approach
Mateo Gašparović, Damir Klobučar
Forests (2021) Vol. 12, Iss. 5, pp. 553-553
Open Access | Times Cited: 41
Individual Tree Species Classification Based on Convolutional Neural Networks and Multitemporal High-Resolution Remote Sensing Images
Xianfei Guo, Hui Li, Linhai Jing, et al.
Sensors (2022) Vol. 22, Iss. 9, pp. 3157-3157
Open Access | Times Cited: 24
Modelling of the above-ground biomass and ecological composition of semi-natural grasslands on the strenght of remote sensing data and machine learning algorithms
Stefano Marino, E. Brugiapaglia, N. Miraglia, et al.
Ecological Informatics (2024) Vol. 82, pp. 102740-102740
Open Access | Times Cited: 5
Assessing Various Scenarios of Multitemporal Sentinel-2 Imagery, Topographic Data, Texture Features, and Machine Learning Algorithms for Tree Species Identification
Iosif Vorovencii
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 15373-15392
Open Access | Times Cited: 5
Application of Machine Learning to Tree Species Classification Using Active and Passive Remote Sensing: A Case Study of the Duraer Forestry Zone
Su Rina, Hong Ying, Yu Shan, et al.
Remote Sensing (2023) Vol. 15, Iss. 10, pp. 2596-2596
Open Access | Times Cited: 12
Tree Species Classification in Subtropical Natural Forests Using High-Resolution UAV RGB and SuperView-1 Multispectral Imageries Based on Deep Learning Network Approaches: A Case Study within the Baima Snow Mountain National Nature Reserve, China
Xianggang Chen, Xin Shen, Lin Cao
Remote Sensing (2023) Vol. 15, Iss. 10, pp. 2697-2697
Open Access | Times Cited: 11
Mapping fractional woody cover in an extensive semi-arid woodland area at different spatial grains with Sentinel-2 and very high-resolution data
Elham Shafeian, Fabian Ewald Fassnacht, Hooman Latifi
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 105, pp. 102621-102621
Open Access | Times Cited: 26
An Evaluation of Pixel- and Object-Based Tree Species Classification in Mixed Deciduous Forests Using Pansharpened Very High Spatial Resolution Satellite Imagery
Martina Deur, Mateo Gašparović, Ivan Balenović
Remote Sensing (2021) Vol. 13, Iss. 10, pp. 1868-1868
Open Access | Times Cited: 25
First Experience with Zhuhai-1 Hyperspectral Data for Urban Dominant Tree Species Classification in Shenzhen, China
Haiming Qin, Weimin Wang, Yang Yao, et al.
Remote Sensing (2023) Vol. 15, Iss. 12, pp. 3179-3179
Open Access | Times Cited: 11
Tree Species Classification Using UAV-Based RGB Images and Spectral Information on the Loess Plateau, China
Zhen Li, Shichuan Yu, Quanping Ye, et al.
Drones (2025) Vol. 9, Iss. 4, pp. 296-296
Open Access
Estimating characteristics of planted forests’ relative yield index using low pulse density LiDAR and satellite remote sensing
Asahi Hashimoto, Shodai Inokoshi, Chen‐Wei Chiu, et al.
International Journal of Applied Earth Observation and Geoinformation (2025) Vol. 139, pp. 104558-104558
Closed Access
Methodology for the Definition of Durum Wheat Yield Homogeneous Zones by Using Satellite Spectral Indices
Elio Romano, Simone Bergonzoli, Ivano Pecorella, et al.
Remote Sensing (2021) Vol. 13, Iss. 11, pp. 2036-2036
Open Access | Times Cited: 23
Tree Species Classification Using High-Resolution Satellite Imagery and Weakly Supervised Learning
Michele Gazzea, Lars Michael Kristensen, Francesco Pirotti, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-11
Closed Access | Times Cited: 16
Machine Learning-Based Classification of Asbestos-Containing Roofs Using Airborne RGB and Thermal Imagery
Gordana Kaplan, Mateo Gašparović, Onur Kaplan, et al.
Sustainability (2023) Vol. 15, Iss. 7, pp. 6067-6067
Open Access | Times Cited: 9
Coastal Zone Classification Based on U-Net and Remote Sensing
Pei Liu, Changhu Wang, Maosong Ye, et al.
Applied Sciences (2024) Vol. 14, Iss. 16, pp. 7050-7050
Open Access | Times Cited: 3
Forest Tree Species Classification Based on Sentinel-2 Images and Auxiliary Data
Haotian You, Yuanwei Huang, Zhigang Qin, et al.
Forests (2022) Vol. 13, Iss. 9, pp. 1416-1416
Open Access | Times Cited: 12
Remote sensing image classification using modified random forest with empirical loss function through crowd-sourced data
K. Pazhanikumar, S. Nithya KuzhalVoiMozhi
Multimedia Tools and Applications (2023) Vol. 83, Iss. 18, pp. 53899-53921
Closed Access | Times Cited: 7
Methods of Land Cover Classification Using Worldview-3 Satellite Images in Land Management
Lovre Panđa, Dorijan Radočaj, Rina Milošević
Tehnički glasnik (2024) Vol. 18, Iss. 1, pp. 142-147
Open Access | Times Cited: 2
Dominant woody plant species recognition with a hierarchical model based on multimodal geospatial data for subtropical forests
Xin Chen, Yujun Sun
Journal of Forestry Research (2024) Vol. 35, Iss. 1
Closed Access | Times Cited: 2
Exploring forest changes in an Ips typographus L. outbreak area: insights from multi-temporal multispectral UAS remote sensing
Madeleine Östersund, Eija Honkavaara, Raquel Alves de Oliveira, et al.
European Journal of Forest Research (2024) Vol. 143, Iss. 6, pp. 1871-1892
Open Access | Times Cited: 2
Recognition of Drought Stress State of Tomato Seedling Based on Chlorophyll Fluorescence Imaging
Long Yan, Minjuan Ma
IEEE Access (2022) Vol. 10, pp. 48633-48642
Open Access | Times Cited: 11
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