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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:

Combining GEDI and sentinel data to estimate forest canopy mean height and aboveground biomass
Qiyu Guo, Shouhang Du, Jinbao Jiang, et al.
Ecological Informatics (2023) Vol. 78, pp. 102348-102348
Closed Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Integration of machine learning and remote sensing for above ground biomass estimation through Landsat-9 and field data in temperate forests of the Himalayan region
Shoaib Ahmad Anees, Kaleem Mehmood, Waseem Razzaq Khan, et al.
Ecological Informatics (2024) Vol. 82, pp. 102732-102732
Open Access | Times Cited: 39
A multi-source approach combining GEDI LiDAR, satellite data, and machine learning algorithms for estimating forest aboveground biomass on Google Earth engine platform
Hamdi A. Zurqani
Ecological Informatics (2025), pp. 103052-103052
Open Access | Times Cited: 3
Effects of precipitation changes on fractional vegetation cover in the Jinghe River basin from 1998 to 2019
Yu Liu, Tingting Huang, Zhiyuan Qiu, et al.
Ecological Informatics (2024) Vol. 80, pp. 102505-102505
Open Access | Times Cited: 11
Estimation of above ground biomass in tropical heterogeneous forests in India using GEDI
Indu Indirabai, Mats Nilsson
Ecological Informatics (2024) Vol. 82, pp. 102712-102712
Open Access | Times Cited: 11
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
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
Correcting forest aboveground biomass biases by incorporating independent canopy height retrieval with conventional machine learning models using GEDI and ICESat-2 data
Biao Zhang, Zhichao Wang, Tiantian Ma, et al.
Ecological Informatics (2025), pp. 103045-103045
Open Access | Times Cited: 1
Three decades of spatiotemporal dynamics in forest biomass density in the Qinba Mountains
Jiahui Chang, Chang Huang
Ecological Informatics (2024) Vol. 81, pp. 102566-102566
Open Access | Times Cited: 4
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
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
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
Aboveground Biomass and Tree Mortality Revealed Through Multi-Scale LiDAR Analysis
Inácio Thomaz Bueno, Carlos Alberto Silva, Kristina J. Anderson‐Teixeira, et al.
Remote Sensing (2025) Vol. 17, Iss. 5, pp. 796-796
Open Access
Mapping forest aboveground carbon stock of combined stratified sampling and RFRK model with mean annual temperature and precipitation
Min Peng, Mingrui Xu, Jialong Zhang, et al.
Research Square (Research Square) (2025)
Closed Access
Wildfire response of forest species from multispectral LiDAR data. A deep learning approach with synthetic data
Lino Comesaña-Cebral, J. Martínez-Sánchez, Gabriel E. Suárez-Fernández, et al.
Ecological Informatics (2024) Vol. 81, pp. 102612-102612
Open Access | Times Cited: 3
Improving plot-level above ground biomass estimation in tropical Indian forests
Rakesh Fararoda, R. Suraj Reddy, G. Rajashekar, et al.
Ecological Informatics (2024) Vol. 81, pp. 102621-102621
Open Access | Times Cited: 3
Forest Canopy Height Retrieval Model Based on a Dual Attention Mechanism Deep Network
Zongze Zhao, Baogui Jiang, Hongtao Wang, et al.
Forests (2024) Vol. 15, Iss. 7, pp. 1132-1132
Open Access | Times Cited: 2
Forest aboveground biomass estimation based on spaceborne LiDAR combining machine learning model and geostatistical method
Li Xu, Jinge Yu, Qingtai Shu, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 2
Co-Kriging-Guided Interpolation for Mapping Forest Aboveground Biomass by Integrating Global Ecosystem Dynamics Investigation and Sentinel-2 Data
Yingchen Wang, Hongtao Wang, Cheng Wang, et al.
Remote Sensing (2024) Vol. 16, Iss. 16, pp. 2913-2913
Open Access | Times Cited: 1
Estimating vegetation structure and aboveground carbon storage in Western Australia using GEDI LiDAR, Landsat, and Sentinel data
Natasha Lutz, Pedro Rodríguez‐Veiga, Imma Oliveras
Environmental Research Ecology (2024) Vol. 3, Iss. 4, pp. 045004-045004
Open Access | Times Cited: 1
Optimizing Forest Canopy Height Estimation Through Varied Photon-Counting Characteristic Parameter Analysis, Window Size, and Forest Cover
Jiapeng Huang, Jathun Arachchige Thilini Madushani, Tingting Xia, et al.
Forests (2024) Vol. 15, Iss. 11, pp. 1957-1957
Open Access | Times Cited: 1
Satellite Image Fusion Airborne LiDAR Point-Clouds-Driven Machine Learning Modeling to Predict the Carbon Stock of Typical Subtropical Plantation in China
Guangpeng Fan, Binghong Zhang, Jialing Zhou, et al.
Forests (2024) Vol. 15, Iss. 5, pp. 751-751
Open Access
Study on the relationship between net primary productivity and site quality in Japanese larch plantations in mountainous areas of eastern Liaoning
Wenlong Chang, Jinghao Li, Jin‐Wei Wu, et al.
PeerJ (2024) Vol. 12, pp. e17820-e17820
Open Access
Improving the Accuracy of Aboveground Biomass Estimation of Natural Secondary Forests Using Individual Tree Features
Feiyu Long, Yinghui Zhao, Zhen Zhen
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2024) Vol. 26, pp. 4226-4229
Closed Access
Credit Rating Prediction Based on WOA-Cross-Validation-LightGBM
Zichang Sun
2022 4th International Conference on Communications, Information System and Computer Engineering (CISCE) (2024) Vol. 20, pp. 1163-1170
Closed Access
A flexible framework for built-up height mapping using ICESat-2 photons and multisource satellite observations
Xinming Tang, Guojiang Yu, Xuecao Li, et al.
Remote Sensing of Environment (2024) Vol. 318, pp. 114572-114572
Closed Access
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