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:

Spectral saturation in the remote sensing of high-density vegetation traits: A systematic review of progress, challenges, and prospects
Onisimo Mutanga, Anita Masenyama, Mbulisi Sibanda
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 198, pp. 297-309
Closed Access | Times Cited: 81

Showing 1-25 of 81 citing articles:

Evaluating the saturation effect of vegetation indices in forests using 3D radiative transfer simulations and satellite observations
Si Gao, Run Zhong, Kai Yan, et al.
Remote Sensing of Environment (2023) Vol. 295, pp. 113665-113665
Closed Access | Times Cited: 71

A comprehensive framework for evaluating ecosystem quality changes and human activity contributions in Inner Mongolia and Xinjiang, China
Faisal Mumtaz, Jing Li, Qinhuo Liu, et al.
Land Use Policy (2025) Vol. 151, pp. 107494-107494
Closed Access | Times Cited: 3

Estimation of potato above-ground biomass based on the VGC-AGB model and deep learning
Haikuan Feng, Yiguang Fan, Jibo Yue, et al.
Computers and Electronics in Agriculture (2025) Vol. 232, pp. 110122-110122
Closed Access | Times Cited: 2

Global patterns and drivers of post-fire vegetation productivity recovery
Hongtao Xu, Hans W. Chen, Deliang Chen, et al.
Nature Geoscience (2024) Vol. 17, Iss. 9, pp. 874-881
Closed Access | Times Cited: 10

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

Statewide Forest Canopy Cover Mapping of Florida Using Synergistic Integration of Spaceborne LiDAR, SAR, and Optical Imagery
Monique Bohora Schlickmann, Inácio Thomaz Bueno, Denis Valle, et al.
Remote Sensing (2025) Vol. 17, Iss. 2, pp. 320-320
Open Access | Times Cited: 1

Combining features selection strategy and features fusion strategy for SPAD estimation of winter wheat based on UAV multispectral imagery
Xiangxiang Su, 櫻井 克年, Hiba Shaghaleh, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 7

Dominant Expression of SAR Backscatter in Predicting Aboveground Biomass: Integrating Multi-Sensor Data and Machine Learning in Sikkim Himalaya
A. Jaya Prakash, Sujoy Mudi, Somnath Paramanik, et al.
Journal of the Indian Society of Remote Sensing (2024) Vol. 52, Iss. 4, pp. 871-883
Closed Access | Times Cited: 6

Time series procession for monitoring land disturbance caused by surface coal mining in China
Jiwang Guo, Tingting He, Wu Xiao, et al.
Journal of Cleaner Production (2024) Vol. 448, pp. 141585-141585
Closed Access | Times Cited: 6

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: 6

High-resolution mapping of forest structure and carbon stock using multi-source remote sensing data in Japan
Hantao Li, Takuya Hiroshima, Xiaoxuan Li, et al.
Remote Sensing of Environment (2024) Vol. 312, pp. 114322-114322
Closed Access | Times Cited: 6

Multi-resolution gridded maps of vegetation structure from GEDI
Patrick Burns, Christopher R. Hakkenberg, S. J. Goetz
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 5

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

Remote-sensing-based forest canopy height mapping: some models are useful, but might they provide us with even more insights when combined?
Nikola Bešič, Nicolas Picard, Cédric Vega, et al.
Geoscientific model development (2025) Vol. 18, Iss. 2, pp. 337-359
Open Access

Adaptation of SAVI to estimate the leaf area index considering different land covers in a Brazilian atlantic forest area
Liliane Moreira Nery, Gabriela Lisieux Lima Gomes, Anderson Trindade de Moura, et al.
Modeling Earth Systems and Environment (2025) Vol. 11, Iss. 2
Closed Access

Forest canopy cover estimation with machine learning using GEDI and Landsat data in the Western Marmara Region, Türkiye
Eren Can Seyrek, Ömer Gökberk Narin, Murat Uysal
Earth Science Informatics (2025) Vol. 18, Iss. 2
Open Access

Evaluating the sensitivity of vegetation indices to leaf area index variability at individual tree level using multispectral drone acquisitions
Xianchao Tian, Xingyu Jia, Yizhuo Da, et al.
Agricultural and Forest Meteorology (2025) Vol. 364, pp. 110441-110441
Closed Access

The performance of a canopy relative height model (CRHM) in natural grassland aboveground biomass estimation using unmanned aerial vehicle data
Yifeng Yang, Mengjie Zhang, Jingsi Li, et al.
Computers and Electronics in Agriculture (2025) Vol. 233, pp. 110137-110137
Closed Access

Segmenting Vegetation from UAV Images via Spectral Reconstruction in Complex Field Environments
Zhixun Pei, Xingcai Wu, Xue Wu, et al.
Plant Phenomics (2025), pp. 100021-100021
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

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