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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:

Quantification of carbon sequestration by urban forest using Landsat 8 OLI and machine learning algorithms in Jodhpur, India
Swati Uniyal, Saurabh Purohit, Kuldeep Chaurasia, et al.
Urban forestry & urban greening (2021) Vol. 67, pp. 127445-127445
Closed Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Machine learning and remote sensing integration for leveraging urban sustainability: A review and framework
Fei Li, Tan Yiğitcanlar, Madhav Prasad Nepal, et al.
Sustainable Cities and Society (2023) Vol. 96, pp. 104653-104653
Open Access | Times Cited: 101
Improved estimation of aboveground biomass in rubber plantations by fusing spectral and textural information from UAV-based RGB imagery
Yuying Liang, Weili Kou, Hongyan Lai, et al.
Ecological Indicators (2022) Vol. 142, pp. 109286-109286
Closed Access | Times Cited: 46
A comparative analysis of machine learning techniques for aboveground biomass estimation: A case study of the Western Ghats, India
Kurian Ayushi, Kanda Naveen Babu, Narayanan Ayyappan, et al.
Ecological Informatics (2024) Vol. 80, pp. 102479-102479
Open Access | Times Cited: 17
A novel geospatial machine learning approach to quantify non-linear effects of land use/land cover change (LULCC) on carbon dynamics
Jing Kang, Bailing Zhang, Anrong Dang
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 128, pp. 103712-103712
Open Access | Times Cited: 14
UAV-LiDAR Integration with Sentinel-2 Enhances Precision in AGB Estimation for Bamboo Forests
Lingjun Zhang, Yinyin Zhao, Chao Chen, et al.
Remote Sensing (2024) Vol. 16, Iss. 4, pp. 705-705
Open Access | Times Cited: 11
A Novel Urban Heat Vulnerability Analysis: Integrating Machine Learning and Remote Sensing for Enhanced Insights
Fei Li, Tan Yiğitcanlar, Madhav Prasad Nepal, et al.
Remote Sensing (2024) Vol. 16, Iss. 16, pp. 3032-3032
Open Access | Times Cited: 11
Harnessing Artificial Intelligence, Machine Learning and Deep Learning for Sustainable Forestry Management and Conservation: Transformative Potential and Future Perspectives
T. J. Wang, Yiping Zuo, Teja Manda, et al.
Plants (2025) Vol. 14, Iss. 7, pp. 998-998
Open Access | Times Cited: 1
A Review of General Methods for Quantifying and Estimating Urban Trees and Biomass
Mingxia Yang, Xiaolu Zhou, Zelin Liu, et al.
Forests (2022) Vol. 13, Iss. 4, pp. 616-616
Open Access | Times Cited: 33
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
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: 8
Spatially continuous estimation of urban forest aboveground biomass with UAV-LiDAR and multispectral scanning: An allometric model of forest structural diversity
Yalin Zhai, Lei Wang, Yunlong Yao, et al.
Agricultural and Forest Meteorology (2024) Vol. 360, pp. 110301-110301
Closed Access | Times Cited: 6
Spatio-Temporal Assessment of Urban Carbon Storage and Its Dynamics Using InVEST Model
Richa Sharma, Lolita Pradhan, Maya Kumari, et al.
Land (2024) Vol. 13, Iss. 9, pp. 1387-1387
Open Access | Times Cited: 5
An integrated approach to estimate how much urban afforestation can contribute to move towards carbon neutrality
Lorenzo Brilli, Federico Carotenuto, Marta Chiesi, et al.
The Science of The Total Environment (2022) Vol. 842, pp. 156843-156843
Closed Access | Times Cited: 17
FlexibleNet: A New Lightweight Convolutional Neural Network Model for Estimating Carbon Sequestration Qualitatively Using Remote Sensing
Mohamad M. Awad
Remote Sensing (2023) Vol. 15, Iss. 1, pp. 272-272
Open Access | Times Cited: 11
Modelling forest biomass dynamics in relation to climate change in Romania using complex data and machine learning algorithms
Remus Prăvălie, Mihai Niculiță, Bogdan Roșca, et al.
Stochastic Environmental Research and Risk Assessment (2023) Vol. 37, Iss. 5, pp. 1669-1695
Closed Access | Times Cited: 10
Scenario-based modelling of carbon storage and sequestration using InVEST model in Kolkata, India, and its environs
Swarnava Dey, Jayita Guha Niyogi, Debashish Das
Arabian Journal of Geosciences (2025) Vol. 18, Iss. 3
Closed Access
Modeling LiDAR-Derived 3D Structural Metric Estimates of Individual Tree Aboveground Biomass in Urban Forests: A Systematic Review of Empirical Studies
Ruonan Li, Lei Wang, Yalin Zhai, et al.
Forests (2025) Vol. 16, Iss. 3, pp. 390-390
Open Access
Estimating vegetation aboveground biomass in Yellow River Delta coastal wetlands using Sentinel-1, Sentinel-2 and Landsat-8 imagery
Yiming Xu, Yong Qin, Bin Li, et al.
Ecological Informatics (2025), pp. 103096-103096
Open Access
Artificial Intelligence Technique for Prediction of Carbon Stocks and Uncertainty Estimates in Tropical Forests
Sehinde Akinbiola, Jide Ebenezer Taiwo Akinsola, Sunday Adeola Ajagbe, et al.
SN Computer Science (2025) Vol. 6, Iss. 4
Closed Access
AI Analytics for Carbon-Neutral City Planning: A Systematic Review of Applications
Cong Cong, Jessica Page, Yoonshin Kwak, et al.
Urban Science (2024) Vol. 8, Iss. 3, pp. 104-104
Open Access | Times Cited: 3
Aboveground Biomass Mapping in SemiArid Forests by Integrating Airborne LiDAR with Sentinel-1 and Sentinel-2 Time-Series Data
Linjing Zhang, Xinran Yin, Yaru Wang, et al.
Remote Sensing (2024) Vol. 16, Iss. 17, pp. 3241-3241
Open Access | Times Cited: 3
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: 8
Ormancılıkta makine öğrenmesi kullanımı
Remzi Eker, Kamber Can Alkiş, Zennure Uçar, et al.
Turkish Journal of Forestry | Türkiye Ormancılık Dergisi (2023), pp. 150-177
Open Access | Times Cited: 6
A Comparative Analysis of Remote Sensing Estimation of Aboveground Biomass in Boreal Forests Using Machine Learning Modeling and Environmental Data
Jie Song, Xuelu Liu, Samuel Adingo, et al.
Sustainability (2024) Vol. 16, Iss. 16, pp. 7232-7232
Open Access | Times Cited: 2
Assessing ensemble models for carbon sequestration and storage estimation in forests using remote sensing data
Mehdi Fasihi, Beatrice Portelli, Luca Cadez, et al.
Ecological Informatics (2024), pp. 102828-102828
Open Access | Times Cited: 2
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