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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:

Artificial neural network models predicting the leaf area index: a case study in pure even-aged Crimean pine forests from Turkey
İlker Ercanlı, Alkan Günlü, Muammer Şenyurt, et al.
Forest Ecosystems (2018) Vol. 5, Iss. 1
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Methodology comparison for correcting woody component effects in leaf area index calculations from digital cover images in broadleaf forests
Yongkang Lai, Xihan Mu, Dorothy S.P. Fan, et al.
Remote Sensing of Environment (2025) Vol. 321, pp. 114659-114659
Closed Access
Evaluating the impact of sampling schemes on leaf area index measurements from digital hemispherical photography in Larix principis-rupprechtii forest plots
Jie Zou, Wei Hou, Ling Chen, et al.
Forest Ecosystems (2020) Vol. 7, Iss. 1
Closed Access | Times Cited: 16
An Investigation into the Friction of Cold-Rolled Low-Carbon DC06 Steel Sheets in Sheet Metal Forming Using Radial Basis Function Neural Networks
Tomasz Trzepieciński, Krzysztof Szwajka, Marek Szewczyk
Applied Sciences (2023) Vol. 13, Iss. 17, pp. 9572-9572
Open Access | Times Cited: 5
Estimation of some stand parameters from textural features from WorldView-2 satellite image using the artificial neural network and multiple regression methods: a case study from Turkey
Alkan Günlü, İlker Ercanlı, Muammer Şenyurt, et al.
Geocarto International (2019) Vol. 36, Iss. 8, pp. 918-935
Closed Access | Times Cited: 13
Phytosociology and Vegetation of Plants of Beit Jibrin in Palestine
Jehad M. H. Ighbareyeh, Ana Cano-Ortíz, Eusébio Cano
Land (2022) Vol. 11, Iss. 2, pp. 264-264
Open Access | Times Cited: 8
Improving 3-PG calibration and parameterization using artificial neural networks
Gabriela Cristina Costa Silva, Júlio César Lima Neves, Gustavo Eduardo Marcatti, et al.
Ecological Modelling (2023) Vol. 479, pp. 110301-110301
Closed Access | Times Cited: 4
Modeling potential distribution and above-ground biomass of Scots pine (Pinus sylvestris L.) forests in the Inner Anatolian Region, Türkiye
Sinan Bulut, İbrahim Aytaş
Environmental Monitoring and Assessment (2023) Vol. 195, Iss. 12
Closed Access | Times Cited: 4
A Non-destructive Leaf Area Prediction Model and Some Physical Leaf Properties in Apples
Dilek Soysal
Deleted Journal (2024) Vol. 66, Iss. 4, pp. 1181-1186
Closed Access | Times Cited: 1
Modelling of the leaf area for various pear cultivars using neuro computing approaches
Ahmet Öztürk, Bilal Cemek, Hüsnü Demirsoy, et al.
Spanish Journal of Agricultural Research (2019) Vol. 17, Iss. 4, pp. e0206-e0206
Open Access | Times Cited: 11
Assessing the Cooling Potential of Vegetation in a Central European Rural Landscape: A Local Study
Tereza Pohanková, Vilém Pechanec
Land (2024) Vol. 13, Iss. 10, pp. 1685-1685
Open Access | Times Cited: 1
Leaf Area Prediction of Pennywort Plants Grown in a Plant Factory Using Image Processing and an Artificial Neural Network
Md Nasim Reza, Milon Chowdhury, Sumaiya Islam, et al.
Horticulturae (2023) Vol. 9, Iss. 12, pp. 1346-1346
Open Access | Times Cited: 3
Application of artificial neural network with backpropagation algorithm for estimating leaf area
Euis Asriani, Robika
IOP Conference Series Earth and Environmental Science (2020) Vol. 599, Iss. 1, pp. 012046-012046
Open Access | Times Cited: 6
Predicting stem taper using artificial neural network and regression models for Scots pine (Pinus sylvestris L.) in northwestern Türkiye
Mehmet Seki
Scandinavian Journal of Forest Research (2023) Vol. 38, Iss. 1-2, pp. 97-104
Closed Access | Times Cited: 2
Estimation of Aboveground Stand Carbon using Landsat 8 OLI Satellite Image: A Case Study from Turkey
Alkan Günlü, Sedat Keleş, İlker Ercanlı, et al.
Environmental science and engineering (2020), pp. 385-403
Closed Access | Times Cited: 4
Total tree height predictions via parametric and artificial neural network modeling approaches
Yasin Karatepe, MJ Diamantopoulou, Ramazan Özçelík, et al.
iForest - Biogeosciences and Forestry (2022) Vol. 15, Iss. 2, pp. 95-105
Open Access | Times Cited: 3
Sensitivity analysis and performance evaluation of neural networks for predicting forest stand volume - A case study: District 2, Kacha, Guilan province, Iran
Sima Lotfi Asl, Iraj Hassanzad Navroodi, Aman Mohammad Kalteh
Journal of Forest Science (2024) Vol. 70, Iss. 5, pp. 209-222
Open Access
Leaf area estimation in Coffea canephora genotypes by neural networks and multiple regression
Edney Leandro da Vitória, André Orlandi Nardotto Júnior, Luis Felipe Oliveira Ribeiro, et al.
Revista Brasileira de Engenharia Agrícola e Ambiental (2024) Vol. 28, Iss. 9
Open Access
Feature selection and modeling forest tree canopies using supervised and unsupervised neural network self-organizing maps (case study: District 2, Kacha, Rasht, Iran)
Sima Lotfi Asl, Iraj Hassanzad Navroodi, Aman Mohammad Kalteh
Research Square (Research Square) (2024)
Open Access
Artificial Neural Network and Remote Sensing combined to predict the Aboveground Biomass in the Cerrado biome
Paula Oliveira, Eraldo Aparecido Trondoli Matricardi, Éder Pereira Miguel, et al.
Anais da Academia Brasileira de Ciências (2024) Vol. 96, Iss. 3
Open Access
Combining radiative transfer model with statistical model for distinguishing heavy metal stress level in rice from Sentinel-2 satellite images
Meiling Liu, Ge Chen, Yanan Wen, et al.
Journal of Applied Remote Sensing (2024) Vol. 18, Iss. 04
Closed Access
Assessment of the interactions among net primary productivity, leaf area index and stand parameters in pure Anatolian black pine stands: A case study from Türkiye
Sinan Bulut, Alkan Günlü, Sedat Keleş
Forest Systems (2023) Vol. 32, Iss. 1, pp. e003-e003
Open Access | Times Cited: 1
Parameterizing Lognormal state space models using moment matching
John W. Smith, R. Quinn Thomas, Leah R. Johnson
Environmental and Ecological Statistics (2023) Vol. 30, Iss. 3, pp. 385-419
Open Access | Times Cited: 1
NON-DESTRUCTIVE METHOD TO DETERMINING THE LEAF AREA IN HEMP, Cannabis sativa L.
Ciprian BUZNA, F. Sala
LIFE SCIENCE AND SUSTAINABLE DEVELOPMENT (2022) Vol. 3, Iss. 2, pp. 25-32
Open Access | Times Cited: 2
PERFORMANCE DA MODELAGEM PARA CLASSIFICAÇÃO DE SÍTIOS FLORESTAIS EM BASES DE DADOS COM OUTLIERS
Pábulo Diogo de Souza, Carlos Alberto Araújo Júnior, Christian Dias Cabacinha, et al.
Nativa (2021) Vol. 9, Iss. 1, pp. 54-61
Open Access | Times Cited: 2
Development of regional stem taper models for some important tree species of Turkey: Case study of Bucak
Ramazan Özçelík, Onur Alkan, Hasan Alkan
Turkish Journal of Forestry | Türkiye Ormancılık Dergisi (2019), pp. 333-340
Open Access | Times Cited: 1
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