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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:

The Utility of Sentinel-2 Spectral Data in Quantifying Above-Ground Carbon Stock in an Urban Reforested Landscape
Mthembeni Mngadi, John Odindi, Onisimo Mutanga
Remote Sensing (2021) Vol. 13, Iss. 21, pp. 4281-4281
Open Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Quantifying the relationship between urban blue-green landscape spatial pattern and carbon sequestration: A case study of Nanjing’s central city
Yangyang Yuan, Siqi Tang, Jiaqi Zhang, et al.
Ecological Indicators (2023) Vol. 154, pp. 110483-110483
Open Access | Times Cited: 24
Carbon storage estimation and strategy optimization under low carbon objectives for urban attached green spaces
Lisu Chen, Yu Wang, Enyan Zhu, et al.
The Science of The Total Environment (2024) Vol. 923, pp. 171507-171507
Closed Access | Times Cited: 10
The utility of Planetscope spectral data in quantifying above-ground carbon stock in an urban reforested landscape
Collins Matiza, Onisimo Mutanga, John Odindi, et al.
Ecological Informatics (2024) Vol. 80, pp. 102472-102472
Open Access | Times Cited: 8
Estimating Aboveground Biomass of Two Different Forest Types in Myanmar from Sentinel-2 Data with Machine Learning and Geostatistical Algorithms
Phyo Wai, Huiyi Su, Mingshi Li
Remote Sensing (2022) Vol. 14, Iss. 9, pp. 2146-2146
Open Access | Times Cited: 34
Two-step carbon storage estimation in urban human settlements using airborne LiDAR and Sentinel-2 data based on machine learning
Yeonsu Lee, Bokyung Son, Jungho Im, et al.
Urban forestry & urban greening (2024) Vol. 94, pp. 128239-128239
Closed Access | Times Cited: 7
Urban Above-Ground Biomass Estimation Using GEDI Laser Data and Optical Remote Sensing Images
Xuedi Zhao, Wenmin Hu, Jiang Han, et al.
Remote Sensing (2024) Vol. 16, Iss. 7, pp. 1229-1229
Open Access | Times Cited: 6
Dominant Tree Species and Their Age Groups Drive Forest Carbon Storage in Wuyi Mountain National Park, China
Xing Jin, Shu Lin, Jing Zhu, et al.
Forests (2024) Vol. 15, Iss. 3, pp. 546-546
Open Access | Times Cited: 4
A Systematic Review of the Application of Remote Sensing Technologies in Mapping Forest Insect Pests and Diseases at a Tree-Level.
Mthembeni Mngadi, Ilaria Germishuizen, Onisimo Mutanga, et al.
Remote Sensing Applications Society and Environment (2024) Vol. 36, pp. 101341-101341
Closed Access | Times Cited: 4
Sub-District Level Spatiotemporal Changes of Carbon Storage and Driving Factor Analysis: A Case Study in Beijing
Yirui Zhang, Shouhang Du, Linye Zhu, et al.
Land (2025) Vol. 14, Iss. 1, pp. 151-151
Open Access
Modelling soil organic carbon at multiple depths in woody encroached grasslands using integrated remotely sensed data
Sfundo Mthiyane, Onisimo Mutanga, Trylee Nyasha Matongera, et al.
Environmental Monitoring and Assessment (2025) Vol. 197, Iss. 3
Open Access
Using Vegetation Indices Developed for Sentinel-2 Multispectral Data to Track Spatiotemporal Changes in the Leaf Area Index of Temperate Deciduous Forests
Xuanwen Wang, Yi Gan, Atsuhiro Iio, et al.
Geomatics (2025) Vol. 5, Iss. 1, pp. 11-11
Open Access
Deforestation detection and reforestation potential due to natural disasters—A case study of floods
Muhammad Hassan Maqsood, Rafia Mumtaz, Muhammad Ajmal Khan
Remote Sensing Applications Society and Environment (2024) Vol. 34, pp. 101188-101188
Closed Access | Times Cited: 3
Estimating aboveground carbon stocks of urban trees by synergizing ICESat-2 LiDAR with GF-2 data
Haiming Qin, Weiqi Zhou, Yuguo Qian, et al.
Urban forestry & urban greening (2022) Vol. 76, pp. 127728-127728
Closed Access | Times Cited: 15
Machine Learning Applied to Tree Crop Yield Prediction Using Field Data and Satellite Imagery: A Case Study in a Citrus Orchard
Abdellatif Moussaid, Sanaa El Fkihi, Yahya Zennayi, et al.
Informatics (2022) Vol. 9, Iss. 4, pp. 80-80
Open Access | Times Cited: 13
Estimating the Forest Carbon Storage of Chongming Eco-Island, China, Using Multisource Remotely Sensed Data
Chao Zhang, Tongtong Song, Runhe Shi, et al.
Remote Sensing (2023) Vol. 15, Iss. 6, pp. 1575-1575
Open Access | Times Cited: 7
Carbon Storage Simulation and Land Use Optimization for High-Water-Table Resource-Based Cities Based on the Coupled GMOP-PLUS-InVEST Model
Zhen Wang, Anya Zhong, Erhu Wei, et al.
Remote Sensing (2024) Vol. 16, Iss. 23, pp. 4480-4480
Open Access | Times Cited: 2
Determining the value of different wavelength ranges of non-imaging hyperspectral reflectance to estimate carotenoid content using the PROSPECT-5 model
Bongokuhle Sibiya, Moses Azong Cho, Onisimo Mutanga, et al.
International Journal of Remote Sensing (2024), pp. 1-24
Closed Access | Times Cited: 2
Identifying Spatial Variation of Carbon Stock in a Warm Temperate Forest in Central Japan Using Sentinel-2 and Digital Elevation Model Data
Huiqing Pei, Toshiaki Owari, Satoshi Tsuyuki, et al.
Remote Sensing (2023) Vol. 15, Iss. 8, pp. 1997-1997
Open Access | Times Cited: 6
Quantitative remote sensing of forest ecosystem services in sub-Saharan Africa’s urban landscapes: a review
Mthembeni Mngadi, John Odindi, Onisimo Mutanga, et al.
Environmental Monitoring and Assessment (2022) Vol. 194, Iss. 4
Closed Access | Times Cited: 8
ReUse: REgressive Unet for Carbon Storage and above Ground Biomass Estimation
Antonio Elia Pascarella, Giovanni Giacco, Mattia Rigiroli, et al.
(2023)
Open Access | Times Cited: 4
ReUse: REgressive Unet for Carbon Storage and Above-Ground Biomass Estimation
Antonio Elia Pascarella, Giovanni Giacco, Mattia Rigiroli, et al.
Journal of Imaging (2023) Vol. 9, Iss. 3, pp. 61-61
Open Access | Times Cited: 4
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
Landsat-based spatiotemporal estimation of subtropical forest aboveground carbon storage using machine learning algorithms with hyperparameter tuning
Lei Huang, Zihao Huang, Weilong Zhou, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 1
Using a Light Gradient-Boosting Machine–Shapley Additive Explanations Model to Evaluate the Correlation Between Urban Blue–Green Space Landscape Spatial Patterns and Carbon Sequestration
Yuting Wu, Mengya Luo, Shaogang Ding, et al.
Land (2024) Vol. 13, Iss. 11, pp. 1965-1965
Open Access | Times Cited: 1
Estimation of Damaged Regions by the Bark Beetle in a Mexican Forest Using UAV Images and Deep Learning
Gildardo Godinez-Garrido, Juan-Carlos González-Islas, Angelina González-Rosas, et al.
Sustainability (2024) Vol. 16, Iss. 23, pp. 10731-10731
Open Access | Times Cited: 1
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