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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:

Evaluation of single-date and multi-seasonal spatial and spectral information of Sentinel-2 imagery to assess growing stock volume of a Mediterranean forest
Irene Chrysafis, Giorgos Mallinis, Maria Tsakiri, et al.
International Journal of Applied Earth Observation and Geoinformation (2018) Vol. 77, pp. 1-14
Closed Access | Times Cited: 59

Showing 1-25 of 59 citing articles:

Forest aboveground biomass estimation using machine learning regression algorithm in Yok Don National Park, Vietnam
An T. N. Dang, Subrata Nandy, Ritika Srinet, et al.
Ecological Informatics (2018) Vol. 50, pp. 24-32
Closed Access | Times Cited: 135
Mapping understory plant communities in deciduous forests from Sentinel-2 time series
Xiucheng Yang, Shi Qiu, Zhe Zhu, et al.
Remote Sensing of Environment (2023) Vol. 293, pp. 113601-113601
Open Access | Times Cited: 37
Red-Edge Normalised Difference Vegetation Index (NDVI705) from Sentinel-2 imagery to assess post-fire regeneration
Christos Evangelides, Alexandre Nobajas
Remote Sensing Applications Society and Environment (2019) Vol. 17, pp. 100283-100283
Closed Access | Times Cited: 74
Estimation of Aboveground Carbon Density of Forests Using Deep Learning and Multisource Remote Sensing
Fanyi Zhang, Xin Tian, Haibo Zhang, et al.
Remote Sensing (2022) Vol. 14, Iss. 13, pp. 3022-3022
Open Access | Times Cited: 35
Modelling aboveground biomass of a multistage managed forest through synergistic use of Landsat-OLI, ALOS-2 L-band SAR and GEDI metrics
Hitendra Padalia, Ankit Prakash, Taibanganba Watham
Ecological Informatics (2023) Vol. 77, pp. 102234-102234
Closed Access | Times Cited: 23
Mapping aboveground biomass of Moso bamboo (Phyllostachys pubescens) forests under Pantana phyllostachysae Chao-induced stress using Sentinel-2 imagery
Lingyan Chen, Anqi He, Zhanghua Xu, et al.
Ecological Indicators (2024) Vol. 158, pp. 111564-111564
Open Access | Times Cited: 7
Improved estimation of forest stand volume by the integration of GEDI LiDAR data and multi-sensor imagery in the Changbai Mountains Mixed forests Ecoregion (CMMFE), northeast China
Lin Chen, Chunying Ren, Bai Zhang, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 100, pp. 102326-102326
Open Access | Times Cited: 39
Estimation of Heavy Metal Content in Soil Based on Machine Learning Models
Shuaiwei Shi, Meiyi Hou, Zifan Gu, et al.
Land (2022) Vol. 11, Iss. 7, pp. 1037-1037
Open Access | Times Cited: 26
Machine learning prediction of above-ground biomass in pure Calabrian pine (Pinus brutia Ten.) stands of the Mediterranean region, Türkiye
Sinan Bulut
Ecological Informatics (2022) Vol. 74, pp. 101951-101951
Closed Access | Times Cited: 25
Integrating Remote Sensing Data and CNN-LSTM-Attention Techniques for Improved Forest Stock Volume Estimation: A Comprehensive Analysis of Baishanzu Forest Park, China
Bo Wang, Yao Chen, Zhijun Yan, et al.
Remote Sensing (2024) Vol. 16, Iss. 2, pp. 324-324
Open Access | Times Cited: 5
A comparative analysis of grid-based and object-based modeling approaches for poplar forest growing stock volume estimation in plain regions using airborne LIDAR data
Ruoqi Wang, Guiying Li, Yagang Lu, et al.
Geo-spatial Information Science (2023) Vol. 27, Iss. 5, pp. 1441-1459
Open Access | Times Cited: 13
Prediction of Plant Diversity Using Multi-Seasonal Remotely Sensed and Geodiversity Data in a Mountainous Area
Soroor Rahmanian, Vahid Nasiri, Atiyeh Amindin, et al.
Remote Sensing (2023) Vol. 15, Iss. 2, pp. 387-387
Open Access | Times Cited: 11
A new feature extraction algorithm for measuring the spatial arrangement of texture Primitives: Distance coding diversity
Wenquan Zhu, Xinyi Yang, Ruoyang Liu, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 127, pp. 103698-103698
Open Access | Times Cited: 4
Evaluation of Different Algorithms for Estimating the Growing Stock Volume of Pinus massoniana Plantations Using Spectral and Spatial Information from a SPOT6 Image
Jingjing Zhou, Zhixiang Zhou, Qingxia Zhao, et al.
Forests (2020) Vol. 11, Iss. 5, pp. 540-540
Open Access | Times Cited: 28
Evaluating multi-seasonal SAR and optical imagery for above-ground biomass estimation using the national forest inventory of Zambia
Kennedy Kanja, Ce Zhang, Peter M. Atkinson
International Journal of Applied Earth Observation and Geoinformation (2025) Vol. 139, pp. 104494-104494
Closed Access
Deciphering the UAV-LiDAR contribution to vegetation classification using interpretable machine learning
Tao Huang, Lei Jiao, Yingfei Bai, et al.
Computers and Electronics in Agriculture (2025) Vol. 235, pp. 110360-110360
Closed Access
Forest aboveground biomass retrieval integrating ICESat-2, Landsat-8, and environmental factors
Shiping Ma, Jisheng Xia, Chun Wang, et al.
Ecological Informatics (2025), pp. 103194-103194
Open Access
Zanthoxylum bungeanum Maxim mapping with multi-temporal Sentinel-2 images: The importance of different features and consistency of results
Mingxing Liu, Jianhong Liu, Clement Atzberger, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2021) Vol. 174, pp. 68-86
Closed Access | Times Cited: 22
Texture Features Derived from Sentinel-2 Vegetation Indices for Estimating and Mapping Forest Growing Stock Volume
Gengsheng Fang, Xiaobing He, Yuhui Weng, et al.
Remote Sensing (2023) Vol. 15, Iss. 11, pp. 2821-2821
Open Access | Times Cited: 9
Estimation of Forest Parameters in Boreal Artificial Coniferous Forests Using Landsat 8 and Sentinel-2A
Rula Sa, Wenyi Fan
Remote Sensing (2023) Vol. 15, Iss. 14, pp. 3605-3605
Open Access | Times Cited: 9
Revealing post-megafire spectral and compositional recovery in the Siberian boreal forest using Landsat time series and regression-based unmixing approach
Suri G. Bao, Wen J. Wang, Zhihua Liu, et al.
Remote Sensing of Environment (2024) Vol. 311, pp. 114307-114307
Closed Access | Times Cited: 3
Multi-Sensor Prediction of Stand Volume by a Hybrid Model of Support Vector Machine for Regression Kriging
Lin Chen, Chunying Ren, Bai Zhang, et al.
Forests (2020) Vol. 11, Iss. 3, pp. 296-296
Open Access | Times Cited: 22
Retrieval of Leaf Area Index Using Sentinel-2 Imagery in a Mixed Mediterranean Forest Area
Irene Chrysafis, Georgios Korakis, A. P. Kyriazopoulos, et al.
ISPRS International Journal of Geo-Information (2020) Vol. 9, Iss. 11, pp. 622-622
Open Access | Times Cited: 21
Vegetation Fuel Mapping at Regional Scale Using Sentinel-1, Sentinel-2, and DEM Derivatives—The Case of the Region of East Macedonia and Thrace, Greece
Irene Chrysafis, Christos Damianidis, V. Giannakopoulos, et al.
Remote Sensing (2023) Vol. 15, Iss. 4, pp. 1015-1015
Open Access | Times Cited: 7
Forest Structure Mapping of Boreal Coniferous Forests Using Multi-Source Remote Sensing Data
Rula Sa, Wenyi Fan
Remote Sensing (2024) Vol. 16, Iss. 11, pp. 1844-1844
Open Access | Times Cited: 2
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