Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Estimation of Forest Structural Diversity Using the Spectral and Textural Information Derived from SPOT-5 Satellite Images
Jinghui Meng, Shiming Li, Wei Wang, et al.
Remote Sensing (2016) Vol. 8, Iss. 2, pp. 125-125
Open Access | Times Cited: 53

Showing 1-25 of 53 citing articles:

Integrating forest structural diversity measurement into ecological research
Jeff W. Atkins, Parth Bhatt, Luis Carrasco, et al.
Ecosphere (2023) Vol. 14, Iss. 9
Open Access | Times Cited: 29
Remote Sensing Estimation of Forest Carbon Stock Based on Machine Learning Algorithms
Fengyun Cheng, Guanglong Ou, Meng Wang, et al.
Forests (2024) Vol. 15, Iss. 4, pp. 681-681
Open Access | Times Cited: 12
Assessment of plant species diversity based on hyperspectral indices at a fine scale
Yu Peng, Fan Min, Jingyi Song, et al.
Scientific Reports (2018) Vol. 8, Iss. 1
Open Access | Times Cited: 76
Estimating Forest Stock Volume in Hunan Province, China, by Integrating In Situ Plot Data, Sentinel-2 Images, and Linear and Machine Learning Regression Models
Yang Hu, Xuelei Xu, Fayun Wu, et al.
Remote Sensing (2020) Vol. 12, Iss. 1, pp. 186-186
Open Access | Times Cited: 63
The use of fixed–wing UAV photogrammetry with LiDAR DTM to estimate merchantable volume and carbon stock in living biomass over a mixed conifer–broadleaf forest
Sadeepa Jayathunga, Toshiaki Owari, Satoshi Tsuyuki
International Journal of Applied Earth Observation and Geoinformation (2018) Vol. 73, pp. 767-777
Closed Access | Times Cited: 59
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
Mapping Forest Health Using Spectral and Textural Information Extracted from SPOT-5 Satellite Images
Jinghui Meng, Shiming Li, Wei Wang, et al.
Remote Sensing (2016) Vol. 8, Iss. 9, pp. 719-719
Open Access | Times Cited: 48
Evaluation of modelling approaches in predicting forest volume and stand age for small-scale plantation forests in New Zealand with RapidEye and LiDAR
Cong Xu, Bruce Manley, Justin Morgenroth
International Journal of Applied Earth Observation and Geoinformation (2018) Vol. 73, pp. 386-396
Closed Access | Times Cited: 47
Development of a Mixed-Effects Individual-Tree Basal Area Increment Model for Oaks (Quercus spp.) Considering Forest Structural Diversity
Wenwen Wang, Xinyun Chen, Weisheng Zeng, et al.
Forests (2019) Vol. 10, Iss. 6, pp. 474-474
Open Access | Times Cited: 39
Predicting Species and Structural Diversity of Temperate Forests with Satellite Remote Sensing and Deep Learning
Janik Hoffmann, Javier Muro, Olena Dubovyk
Remote Sensing (2022) Vol. 14, Iss. 7, pp. 1631-1631
Open Access | Times Cited: 22
Can tree species diversity be assessed with Landsat data in a temperate forest?
Maliheh Arekhi, Osman Yılmaz, Hatice Yılmaz, et al.
Environmental Monitoring and Assessment (2017) Vol. 189, Iss. 11
Closed Access | Times Cited: 38
Spatial patterns of tree species in Suserup Skov – a semi-natural forest in Denmark
Shaaban Ghalandarayeshi, Thomas Nord‐Larsen, Vivian Kvist Johannsen, et al.
Forest Ecology and Management (2017) Vol. 406, pp. 391-401
Closed Access | Times Cited: 35
Assessment of UAV photogrammetric DTM-independent variables for modelling and mapping forest structural indices in mixed temperate forests
Francesca Giannetti, Nicola Puletti, Stefano Puliti, et al.
Ecological Indicators (2020) Vol. 117, pp. 106513-106513
Open Access | Times Cited: 30
A Random Forest Modelling Procedure for a Multi-Sensor Assessment of Tree Species Diversity
Giorgos Mallinis, Irene Chrysafis, Georgios Korakis, et al.
Remote Sensing (2020) Vol. 12, Iss. 7, pp. 1210-1210
Open Access | Times Cited: 29
Predicting Tree Species Diversity Using Geodiversity and Sentinel-2 Multi-Seasonal Spectral Information
Irene Chrysafis, Georgios Korakis, A. P. Kyriazopoulos, et al.
Sustainability (2020) Vol. 12, Iss. 21, pp. 9250-9250
Open Access | Times Cited: 28
Measuring Alpha and Beta Diversity by Field and Remote-Sensing Data: A Challenge for Coastal Dunes Biodiversity Monitoring
Flavio Marzialetti, Silvia Cascone, Ludovico Frate, et al.
Remote Sensing (2021) Vol. 13, Iss. 10, pp. 1928-1928
Open Access | Times Cited: 26
Spatial Characterization of Woody Species Diversity in Tropical Savannas Using GEDI and Optical Data
Franciel Eduardo Rex, Carlos Alberto Silva, Eben N. Broadbent, et al.
Sensors (2025) Vol. 25, Iss. 2, pp. 308-308
Open Access
Improving the Individual Tree Parameters Estimation of a Complex Mixed Conifer—Broadleaf Forest Using a Combination of Structural, Textural, and Spectral Metrics Derived from Unmanned Aerial Vehicle RGB and Multispectral Imagery
Jeyavanan Karthigesu, Toshiaki Owari, Satoshi Tsuyuki, et al.
Geomatics (2025) Vol. 5, Iss. 1, pp. 12-12
Open Access
Quantifying structural diversity to better estimate change at mountain forest margins
Peter J. Morley, Daniel N.M. Donoghue, Jan-Chang Chen, et al.
Remote Sensing of Environment (2019) Vol. 223, pp. 291-306
Open Access | Times Cited: 24
Linking Terrestrial LiDAR Scanner and Conventional Forest Structure Measurements with Multi-Modal Satellite Data
Kalkidan Ayele Mulatu, Mathieu Decuyper, Benjamin Brede, et al.
Forests (2019) Vol. 10, Iss. 3, pp. 291-291
Open Access | Times Cited: 22
Improving the Estimation of Structural Parameters of a Mixed Conifer–Broadleaf Forest Using Structural, Textural, and Spectral Metrics Derived from Unmanned Aerial Vehicle Red Green Blue (RGB) Imagery
Jeyavanan Karthigesu, Toshiaki Owari, Satoshi Tsuyuki, et al.
Remote Sensing (2024) Vol. 16, Iss. 10, pp. 1783-1783
Open Access | Times Cited: 2
High-precision estimation of plant alpha diversity in different ecosystems based on Sentinel-2 data
Jiaxun Xin, Jinning Li, Qingqiu Zeng, et al.
Ecological Indicators (2024) Vol. 166, pp. 112527-112527
Open Access | Times Cited: 2
Biomass Inversion of Highway Slope Based on Unmanned Aerial Vehicle Remote Sensing and Deep Learning
Guangcun Hao, Zhiliang Dong, Liwen Hu, et al.
Forests (2024) Vol. 15, Iss. 9, pp. 1564-1564
Open Access | Times Cited: 2
Prediction of Regional Forest Soil Nutrients Based on Gaofen-1 Remote Sensing Data
Yingying Li, Zhengyong Zhao, Sunwei Wei, et al.
Forests (2021) Vol. 12, Iss. 11, pp. 1430-1430
Open Access | Times Cited: 14
Predicting crown width and length using nonlinear mixed-effects models: a test of competition measures using Chinese fir (Cunninghamia lanceolata (Lamb.) Hook.)
Wenwen Wang, Fangxing Ge, Zhengyang Hou, et al.
Annals of Forest Science (2021) Vol. 78, Iss. 3
Open Access | Times Cited: 13
Page 1 - Next Page

Scroll to top