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:

Comparison of Machine Learning Regression Algorithms for Cotton Leaf Area Index Retrieval Using Sentinel-2 Spectral Bands
Huihui Mao, Jihua Meng, Fujiang Ji, et al.
Applied Sciences (2019) Vol. 9, Iss. 7, pp. 1459-1459
Open Access | Times Cited: 60

Showing 1-25 of 60 citing articles:

Combining Spectral and Texture Features of UAS-Based Multispectral Images for Maize Leaf Area Index Estimation
Xuewei Zhang, Kefei Zhang, Yaqin Sun, et al.
Remote Sensing (2022) Vol. 14, Iss. 2, pp. 331-331
Open Access | Times Cited: 74
Machine Learning in Sustainable Agriculture: Systematic Review and Research Perspectives
Juan Botero-Valencia, Vanessa García Pineda, Alejandro Valencia-Arías, et al.
Agriculture (2025) Vol. 15, Iss. 4, pp. 377-377
Open Access | Times Cited: 3
Monitoring sustainable development by means of earth observation data and machine learning: a review
Bruno Ferreira, Muriel Iten, Rui Silva
Environmental Sciences Europe (2020) Vol. 32, Iss. 1
Open Access | Times Cited: 55
Using Sentinel-1 and Sentinel-2 imagery for estimating cotton crop coefficient, height, and Leaf Area Index
Gregoriy Kaplan, Lior Fine, Victor Lukyanov, et al.
Agricultural Water Management (2022) Vol. 276, pp. 108056-108056
Open Access | Times Cited: 33
Monitoring leaf area index of the sown mixture pasture through UAV multispectral image and texture characteristics
Xiaoxue Wang, Shicheng Yan, Wenting Wang, et al.
Computers and Electronics in Agriculture (2023) Vol. 214, pp. 108333-108333
Closed Access | Times Cited: 17
Comparative analysis of multi-source data for machine learning-based LAI estimation in Argania spinosa
Mohamed Mouafik, Fouad Mounir, Felix Antoine Audet, et al.
Advances in Space Research (2024) Vol. 73, Iss. 10, pp. 4976-4987
Closed Access | Times Cited: 7
Biomass Estimation and Saturation Value Determination Based on Multi-Source Remote Sensing Data
Rula Sa, Yonghui Nie, С. И. Чумаченко, et al.
Remote Sensing (2024) Vol. 16, Iss. 12, pp. 2250-2250
Open Access | Times Cited: 6
Estimating Crop Biophysical Parameters Using Machine Learning Algorithms and Sentinel-2 Imagery
Mahlatse Kganyago, Paidamwoyo Mhangara, Clement Adjorlolo
Remote Sensing (2021) Vol. 13, Iss. 21, pp. 4314-4314
Open Access | Times Cited: 41
Processing of remote sensing information to retrieve leaf area index in barley: a comparison of methods
Pablo Rosso, Claas Nendel, Nicolas Gilardi, et al.
Precision Agriculture (2022) Vol. 23, Iss. 4, pp. 1449-1472
Open Access | Times Cited: 28
Preliminary examination of influence of Chlorophyll, Total Suspended Material, and Turbidity on Satellite Derived-Bathymetry estimation in coastal turbid water
Mohammad Ashphaq, Pankaj Kumar Srivastava, Debashis Mitra
Regional Studies in Marine Science (2023) Vol. 62, pp. 102920-102920
Closed Access | Times Cited: 14
Deep Learning-Based Estimation of Crop Biophysical Parameters Using Multi-Source and Multi-Temporal Remote Sensing Observations
Hazhir Bahrami, Saeid Homayouni, Abdolreza Safari, et al.
Agronomy (2021) Vol. 11, Iss. 7, pp. 1363-1363
Open Access | Times Cited: 30
UAV- and Random-Forest-AdaBoost (RFA)-Based Estimation of Rice Plant Traits
Farrah Melissa Muharam, Khairudin Nurulhuda, Zed Zulkafli, et al.
Agronomy (2021) Vol. 11, Iss. 5, pp. 915-915
Open Access | Times Cited: 29
Chickpea leaf water potential estimation from ground and VENµS satellite
Roy Sadeh, Asaf Avneri, Yaniv Tubul, et al.
Precision Agriculture (2024) Vol. 25, Iss. 3, pp. 1658-1683
Closed Access | Times Cited: 4
Machine Learning Methods for Predicting Argania spinosa Crop Yield and Leaf Area Index: A Combined Drought Index Approach from Multisource Remote Sensing Data
Mohamed Mouafik, Fouad Mounir, Ahmed El Aboudi
AgriEngineering (2024) Vol. 6, Iss. 3, pp. 2283-2306
Open Access | Times Cited: 4
River Stage Forecasting Using Multiple Additive Regression Trees
Jin-Cheng Fu, Hsiao-Yun Huang, Jiun‐Huei Jang, et al.
Water Resources Management (2019) Vol. 33, Iss. 13, pp. 4491-4507
Closed Access | Times Cited: 33
Sentinel-2 Data for Precision Agriculture?—A UAV-Based Assessment
Josephine Bukowiecki, Till Rose, Henning Kage
Sensors (2021) Vol. 21, Iss. 8, pp. 2861-2861
Open Access | Times Cited: 26
Combining both spectral and textural indices for alleviating saturation problem in forest LAI estimation using Sentinel-2 data
Quan Wang, Niken Andika Putri, Yi Gan, et al.
Geocarto International (2022) Vol. 37, Iss. 25, pp. 10511-10531
Closed Access | Times Cited: 18
A Meta-Analysis of Remote Sensing Technologies and Methodologies for Crop Characterization
Hazhir Bahrami, Heather McNairn, Masoud Mahdianpari, et al.
Remote Sensing (2022) Vol. 14, Iss. 22, pp. 5633-5633
Open Access | Times Cited: 17
Optical Remote Sensing and Machine Learning Algorithm Used to Access the Leaf Area Index and Canopy Water Content
Surendra Reddy Vinta, Gireesh Kambala, Anzar Ahmad, et al.
Lecture notes in networks and systems (2025), pp. 383-396
Closed Access
Estimation of Leaf Area Index of Mustard and Potato from Sentinel-2 data using Parametric, Non-parametric and Physical Retrieval models
Sanjoy Dey, Koushik Saha, Rucha Dave, et al.
Remote Sensing Applications Society and Environment (2025) Vol. 37, pp. 101493-101493
Closed Access
Integrating Multi-Source Remote Sensing Data and Machine Learning for Predicting Tree Density and Cover in Argania spinosa
Mohamed Mouafik, Fouad Mounir, Ahmed El Aboudi
Smart Agricultural Technology (2025), pp. 100911-100911
Open Access
Integrating Sentinel-2 imagery and meteorological data to estimate leaf area index and leaf water potential, with a leave-field-out validation strategy in chickpea fields
Omer Perach, Neta Solomon, Asaf Avneri, et al.
European Journal of Agronomy (2025) Vol. 168, pp. 127632-127632
Open Access
Use Remote Sensing and Machine Learning to Study the Changes of Broad-Leaved Forest Biomass and Their Climate Driving Forces in Nature Reserves of Northern Subtropics
Zhibin Sun, Wenqi Qian, Qingfeng Huang, et al.
Remote Sensing (2022) Vol. 14, Iss. 5, pp. 1066-1066
Open Access | Times Cited: 15
Comprehensive Review on Waste Generation Modeling
Radovan Šomplák, Veronika Šmejkalová, Martin Rosecký, et al.
Sustainability (2023) Vol. 15, Iss. 4, pp. 3278-3278
Open Access | Times Cited: 9
Remote Sensing Technologies for Monitoring Argane Forest Stands: A Comprehensive Review
Mohamed Mouafik, Abdelghani Chakhchar, Fouad Mounir, et al.
Geographies (2024) Vol. 4, Iss. 3, pp. 441-461
Open Access | Times Cited: 3
Page 1 - Next Page

Scroll to top