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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:

Two Decades Progress on the Application of Remote Sensing for Monitoring Tropical and Sub-Tropical Natural Forests: A Review
Enoch Gyamfi-Ampadu, Michael Gebreslasie
Forests (2021) Vol. 12, Iss. 6, pp. 739-739
Open Access | Times Cited: 17

Showing 17 citing articles:

Forest Aboveground Biomass Estimation and Inventory: Evaluating Remote Sensing-Based Approaches
Muhammad Nouman Khan, Yumin Tan, Ahmad Ali Gul, et al.
Forests (2024) Vol. 15, Iss. 6, pp. 1055-1055
Open Access | Times Cited: 9
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
From Air to Space: A Comprehensive Approach to Optimizing Aboveground Biomass Estimation on UAV-Based Datasets
Muhammad Nouman Khan, Yumin Tan, Lingfeng He, et al.
Forests (2025) Vol. 16, Iss. 2, pp. 214-214
Open Access
Look Down: To What Extent Does the Precision of Ground Control Points Reflect Their Accuracy?
Melodie Kern Sarubo Dorth Sinegalia, Paulo Guilherme Molin, Vagner Machado Costa, et al.
(2025)
Closed Access
Enhancing Tree Species Mapping in Arkansas’ Forests Through Machine Learning and Satellite Data Fusion: A Google Earth Engine–Based Approach
Abdullah Al Saim, Mohamed H. Aly
Journal of Geovisualization and Spatial Analysis (2025) Vol. 9, Iss. 1
Open Access
Automatic forest change detection through a bi-annual time series of satellite imagery: Toward production of an integrated land cover map
Laura Alonso, Juan Picos, Julia Armesto
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 118, pp. 103289-103289
Open Access | Times Cited: 9
AI-Based Tree Species Classification Using Pseudo Tree Crown Derived From UAV Imagery
Shengjie Miao, Kongwen Zhang, Hongda Zeng, et al.
(2024)
Open Access | Times Cited: 3
Use Remote Sensing and Machine Learning to Study the Changes of Broad-Leaved Forest Biomass and Their Climate Driving Forces in Nature Reserves of Northern Subtropics
Zhibin Sun, Wenqi Qian, Qingfeng Huang, et al.
Remote Sensing (2022) Vol. 14, Iss. 5, pp. 1066-1066
Open Access | Times Cited: 14
Constructing a eucalyptus identification model based on NDVI time-series remote sensing images
Nianxu Xu, Dong Cai, Xiaoqiao Zhao
CATENA (2024) Vol. 238, pp. 107846-107846
Closed Access | Times Cited: 2
Multi-Feature-Based Identification of Subtropical Evergreen Tree Species Using Gaofen-2 Imagery and Algorithm Comparison
Jiayu Yuan, Zhiwei Wu, Shun Li, et al.
Forests (2023) Vol. 14, Iss. 2, pp. 292-292
Open Access | Times Cited: 4
Monitoring Annual Forest Cover Fraction Change During 2000-2020 in China's Han River Basin Using Time-Series MODIS NDVI, VCF and Spatio-Temporal Regression
Xinyan Zhong, Yun Du, Xia Wang, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 12092-12111
Open Access | Times Cited: 1
A regional-level spatiotemporal perspective of land use and land cover change impact on forest aboveground biomass in three gorges reservoir region, China
Muhammad Nouman Khan, Yumin Tan, Ahmad Ali Gul, et al.
Geocarto International (2024) Vol. 39, Iss. 1
Open Access | Times Cited: 1
Improving Artificial-Intelligence-Based Individual Tree Species Classification Using Pseudo Tree Crown Derived from Unmanned Aerial Vehicle Imagery
Shengjie Miao, Kongwen Zhang, Hongda Zeng, et al.
Remote Sensing (2024) Vol. 16, Iss. 11, pp. 1849-1849
Open Access
Remote Sensing and Machine Learning Based Above Ground Biomass Carbon Estimation of Dry Tropical Forests in Data Limited Regions
Abrha Megos Meressa, Meley Mekonen Rannestad
(2024)
Closed Access
Enhancing Tree Species Mapping in Arkansas' Forests through Machine Learning and Satellite Data Fusion: A Google Earth Engine-Based Approach
Abdullah Al Saim, Mohamed H. Aly
Research Square (Research Square) (2024)
Open Access
A systematic review of remote sensing and machine learning approaches for accurate carbon storage estimation in natural forests
Collins Matiza, Onisimo Mutanga, Kabir Peerbhay, et al.
Southern Forests a Journal of Forest Science (2023) Vol. 85, Iss. 3-4, pp. 123-141
Closed Access | Times Cited: 1
Identification of Typical Ecosystem Types by Integrating Active and Passive Time Series Data of the Guangdong–Hong Kong–Macao Greater Bay Area, China
Changlong Li, Yan Wang, Zhihai Gao, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 22, pp. 15108-15108
Open Access
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