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:

Review of Remote Sensing-Based Methods for Forest Aboveground Biomass Estimation: Progress, Challenges, and Prospects
Lei Tian, Xiaocan Wu, Tao Yu, et al.
Forests (2023) Vol. 14, Iss. 6, pp. 1086-1086
Open Access | Times Cited: 63

Showing 1-25 of 63 citing articles:

Modelling above ground biomass for a mixed-tree urban arboretum forest based on a LiDAR-derived canopy height model and field-sampled data
Jigme Thinley, Catherine Marina Pickering, Christopher E. Ndehedehe
GEOMATICA (2025), pp. 100047-100047
Open Access | Times Cited: 1

Assessing the impacts of forest cover change on carbon stock and soil moisture dynamics using geospatial techniques: a case study of Nensebo forest, Southern Ethiopia
Zenebe Reta Roba, Mitiku Badasa Moisa, Sanju Purohit, et al.
Environmental Monitoring and Assessment (2025) Vol. 197, Iss. 2
Closed Access | Times Cited: 1

Carbon sequestration and storage capacity of Chinese fir at different stand ages
Xu Li, Luis Carlos Ramos Aguila, Donghai Wu, et al.
The Science of The Total Environment (2023) Vol. 904, pp. 166962-166962
Closed Access | Times Cited: 22

A brief overview and perspective of using airborne Lidar data for forest biomass estimation
Dengsheng Lu, Xiandie Jiang
International Journal of Image and Data Fusion (2024) Vol. 15, Iss. 1, pp. 1-24
Closed Access | Times Cited: 11

Estimating aboveground biomass of tropical urban forests with UAV-borne hyperspectral and LiDAR data
Matheus Pinheiro Ferreira, Gabriela Barbosa Martins, Thaís Moreira Hidalgo de Almeida, et al.
Urban forestry & urban greening (2024) Vol. 96, pp. 128362-128362
Closed Access | Times Cited: 10

Forest Aboveground Biomass Estimation Using Multisource Remote Sensing Data and Deep Learning Algorithms: A Case Study over Hangzhou Area in China
Xin Tian, Jiejie Li, Fanyi Zhang, et al.
Remote Sensing (2024) Vol. 16, Iss. 6, pp. 1074-1074
Open Access | Times Cited: 7

Artificial intelligence and machine learning applications in forest management and biodiversity conservation
Asif Raihan
Natural Resources Conservation and Research (2023) Vol. 6, Iss. 2, pp. 3825-3825
Open Access | Times Cited: 19

Improving Aboveground Biomass Estimation in Lowland Tropical Forests across Aspect and Age Stratification: A Case Study in Xishuangbanna
Yong Wu, Guanglong Ou, Teng-Fei Lu, et al.
Remote Sensing (2024) Vol. 16, Iss. 7, pp. 1276-1276
Open Access | Times Cited: 5

Maximum carbon uptake potential through progressive management of plantation forests in Guangdong Province, China
Xueyan Li, Chongyuan Bi, Jianping Wu, et al.
Communications Earth & Environment (2025) Vol. 6, Iss. 1
Open Access

Enhancing carbon stock estimation in forests: Integrating multi-data predictors with random forest method
Gabriel E. Suárez-Fernández, J. Martínez-Sánchez, Pedro Arias
Ecological Informatics (2025), pp. 102997-102997
Open Access

Synthesizing Local Capacities, Multi-Source Remote Sensing and Meta-Learning to Optimize Forest Carbon Assessment in Data-Poor Regions
Kamaldeen Mohammed, Daniel Kpienbaareh, Jinfei Wang, et al.
Remote Sensing (2025) Vol. 17, Iss. 2, pp. 289-289
Open Access

Aboveground Biomass Estimation in Tropical Forests: Insights from SAR Data—A Systematic Review
Anjitha A. Sulabha, Smitha V. Asok, C. Sudhakar Reddy, et al.
Journal of the Indian Society of Remote Sensing (2025)
Closed Access

The responses of vegetation water use efficiency to biomass density and CO2 balance in dryland of Central Asia during 21st century
Alphonse Kayiranga, Xi Chen, Xuexi Ma, et al.
Ecological Indicators (2025) Vol. 171, pp. 113070-113070
Open Access

Towards carbon neutrality: Enhancing CO2 sequestration by plants to reduce carbon footprint
Dawid Skrzypczak, Katarzyna Gorazda, Katarzyna Mikula, et al.
The Science of The Total Environment (2025) Vol. 966, pp. 178763-178763
Closed Access

Mapping Forest Aboveground Biomass Using Multi-Source Remote Sensing Data Based on the XGBoost Algorithm
Dejun Wang, Yanqiu Xing, Anmin Fu, et al.
Forests (2025) Vol. 16, Iss. 2, pp. 347-347
Open Access

Progress and Limitations in Forest Carbon Stock Estimation Using Remote Sensing Technologies: A Comprehensive Review
Weifeng Xu, Yu-Hao Cheng, Mengyuan Luo, et al.
Forests (2025) Vol. 16, Iss. 3, pp. 449-449
Open Access

Application of Machine Learning for Aboveground Biomass Modeling in Tropical and Temperate Forests from Airborne Hyperspectral Imagery
Patrick Osei Darko, Samy Metari, J. Pablo Arroyo‐Mora, et al.
Forests (2025) Vol. 16, Iss. 3, pp. 477-477
Open Access

Advancements in Forest Monitoring: Applications and Perspectives of Airborne Laser Scanning and Complementarity with Satellite Optical Data
Costanza Borghi, Saverio Francini, Giovanni D’Amico, et al.
Land (2025) Vol. 14, Iss. 3, pp. 567-567
Open Access

Spatiotemporal analysis of AGB and BGB in China: Responses to climate change under SSP scenarios
Chuanmei Zhu, Yupu Li, Jianli Ding, et al.
Geoscience Frontiers (2025), pp. 102038-102038
Open Access

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