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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:

Landsat Time-Series for Estimating Forest Aboveground Biomass and Its Dynamics across Space and Time: A Review
Nguyễn Huy Trung, Simon Jones, Mariela Soto‐Berelov, et al.
Remote Sensing (2019) Vol. 12, Iss. 1, pp. 98-98
Open Access | Times Cited: 63

Showing 1-25 of 63 citing articles:

Quantifying aboveground biomass dynamics from charcoal degradation in Mozambique using GEDI Lidar and Landsat
Mengyu Liang, Laura Duncanson, Julie A. Silva, et al.
Remote Sensing of Environment (2022) Vol. 284, pp. 113367-113367
Open Access | Times Cited: 48
Landsat assessment of variable spectral recovery linked to post-fire forest structure in dry sub-boreal forests
Sarah Smith‐Tripp, Nicholas C. Coops, Christopher Mulverhill, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 208, pp. 121-135
Open Access | Times Cited: 11
Monitoring the early growth of forest plantations with Sentinel-2 satellite time-series
Marian Góral, Guerric Le Maire, Henrique Ferraço Scolforo, et al.
International Journal of Remote Sensing (2025), pp. 1-27
Closed Access | Times Cited: 1
Tree-ring-based disturbance reconstruction in interdisciplinary research: Current state and future directions
Jan Altman
Dendrochronologia (2020) Vol. 63, pp. 125733-125733
Closed Access | Times Cited: 61
Comparison of Random Forest, Support Vector Machines, and Neural Networks for Post-Disaster Forest Species Mapping of the Krkonoše/Karkonosze Transboundary Biosphere Reserve
Bogdan Zagajewski, Marcin Kluczek, Edwin Raczko, et al.
Remote Sensing (2021) Vol. 13, Iss. 13, pp. 2581-2581
Open Access | Times Cited: 55
Approaches of Satellite Remote Sensing for the Assessment of Above-Ground Biomass across Tropical Forests: Pan-tropical to National Scales
Sawaid Abbas, Man Sing Wong, Jin Wu, et al.
Remote Sensing (2020) Vol. 12, Iss. 20, pp. 3351-3351
Open Access | Times Cited: 53
Prediction of Forest Aboveground Biomass Using Multitemporal Multispectral Remote Sensing Data
Parth Naik, Michele Dalponte, Lorenzo Bruzzone
Remote Sensing (2021) Vol. 13, Iss. 7, pp. 1282-1282
Open Access | Times Cited: 50
Estimation of Forest Aboveground Biomass of Two Major Conifers in Ibaraki Prefecture, Japan, from PALSAR-2 and Sentinel-2 Data
Hantao Li, Tomomichi Kato, Masato Hayashi, et al.
Remote Sensing (2022) Vol. 14, Iss. 3, pp. 468-468
Open Access | Times Cited: 28
Spatial Scale Effect and Correction of Forest Aboveground Biomass Estimation Using Remote Sensing
Ying Yu, Yan Pan, Xiguang Yang, et al.
Remote Sensing (2022) Vol. 14, Iss. 12, pp. 2828-2828
Open Access | Times Cited: 23
A Proposed Ensemble Feature Selection Method for Estimating Forest Aboveground Biomass from Multiple Satellite Data
Yuzhen Zhang, Jingjing Liu, Wenhao Li, et al.
Remote Sensing (2023) Vol. 15, Iss. 4, pp. 1096-1096
Open Access | Times Cited: 16
Developing aboveground biomass yield curves for dominant boreal tree species from time series remote sensing data
Piotr Tompalski, Michael A. Wulder, Joanne C. White, et al.
Forest Ecology and Management (2024) Vol. 561, pp. 121894-121894
Open Access | Times Cited: 6
Random Forest Regression Model for Estimation of the Growing Stock Volumes in Georgia, USA, Using Dense Landsat Time Series and FIA Dataset
Shingo Obata, Chris J. Cieszewski, Roger C. Lowe, et al.
Remote Sensing (2021) Vol. 13, Iss. 2, pp. 218-218
Open Access | Times Cited: 28
Improving Pinus densata Carbon Stock Estimations through Remote Sensing in Shangri-La: A Nonlinear Mixed-Effects Model Integrating Soil Thickness and Topographic Variables
Dongyang Han, Jialong Zhang, Dongfan Xu, et al.
Forests (2024) Vol. 15, Iss. 2, pp. 394-394
Open Access | Times Cited: 4
Monitoring vegetation dynamics with open earth observation tools: the case of fire-modulated savanna to forest transitions in Central Africa
Le Bienfaiteur Sagang, Pierre Ploton, Gaëlle Viennois, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2022) Vol. 188, pp. 142-156
Closed Access | Times Cited: 19
Exploring the effect of COVID-19 pandemic lockdowns on urban cooling: A tale of three cities
Naeim Mijani, Mohammad Karimi Firozjaei, Moein Mijani, et al.
Advances in Space Research (2022) Vol. 71, Iss. 1, pp. 1017-1033
Open Access | Times Cited: 18
Modeling Long-Term Dynamics of Biogenic Volatile Organic Compounds (BVOCs) in Germany Based on Major Precursors
Ayoub Moradi, Temesgen Alemayehu Abera, Elliot Shayle, et al.
Environmental Science & Technology (2025)
Open Access
Improving the Accuracy of Tree Species Mapping by Sentinel-2 Images Using Auxiliary Data—A Case Study of Slyudyanskoye Forestry Area near Lake Baikal
Anastasia K. Popova
Forests (2025) Vol. 16, Iss. 3, pp. 487-487
Open Access
Quantifying the spatiotemporal characteristics of multi-dimensional karst ecosystem stability with Landsat time series in southwest China
Zhi Xiong Huang, Xiangnan Liu, Qin Yang, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 104, pp. 102575-102575
Open Access | Times Cited: 23
Combining simulated hyperspectral EnMAP and Landsat time series for forest aboveground biomass mapping
Sam Cooper, Akpona Okujeni, Dirk Pflugmacher, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 98, pp. 102307-102307
Open Access | Times Cited: 21
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: 15
A regional map of mangrove extent for Myanmar, Thailand, and Cambodia shows losses of 44% by 1996
Priscilla Baltezar, Paulo J. Murillo‐Sandoval, Kyle C. Cavanaugh, et al.
Frontiers in Marine Science (2023) Vol. 10
Open Access | Times Cited: 9
Effects of Driving Factors on Forest Aboveground Biomass (AGB) in China’s Loess Plateau by Using Spatial Regression Models
Shichuan Yu, Quanping Ye, Qingxia Zhao, et al.
Remote Sensing (2022) Vol. 14, Iss. 12, pp. 2842-2842
Open Access | Times Cited: 14
Unveiling the driver behind China’s greening trend: urban vs. rural areas
Sai Qu, Jiangong Liu, Bolun Li, et al.
Environmental Research Letters (2023) Vol. 18, Iss. 8, pp. 084027-084027
Open Access | Times Cited: 8
Tracking Rates of Forest Disturbance and Associated Carbon Loss in Areas of Illegal Amber Mining in Ukraine Using Landsat Time Series
Viktor Myroniuk, Andrii Bilous, Yevhenii Khan, et al.
Remote Sensing (2020) Vol. 12, Iss. 14, pp. 2235-2235
Open Access | Times Cited: 20
Enhancing Landsat image based aboveground biomass estimation of black locust with scale bias-corrected LiDAR AGB map and stratified sampling
Shuhong Qin, Hong Wang, Xiuneng Li, et al.
Geo-spatial Information Science (2023) Vol. 27, Iss. 5, pp. 1475-1488
Open Access | Times Cited: 6
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