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:

Urban land-use classification using machine learning classifiers: comparative evaluation and post-classification multi-feature fusion approach
Yashon O. Ouma, Amantle Keitsile, Boipuso Nkwae, et al.
European Journal of Remote Sensing (2023) Vol. 56, Iss. 1
Open Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Comparison of accuracy and reliability of random forest, support vector machine, artificial neural network and maximum likelihood method in land use/cover classification of urban setting
Md. Sharafat Chowdhury
Environmental Challenges (2023) Vol. 14, pp. 100800-100800
Open Access | Times Cited: 61
Performance assessment of machine learning algorithms for mapping of land use/land cover using remote sensing data
Zeeshan Zafar, Muhammad Zubair, Yuanyuan Zha, et al.
The Egyptian Journal of Remote Sensing and Space Science (2024) Vol. 27, Iss. 2, pp. 216-226
Open Access | Times Cited: 26
Ensemble Multifeatured Deep Learning Models and Applications: A Survey
Satheesh Abimannan, El-Sayed M. El-Alfy, Yue‐Shan Chang, et al.
IEEE Access (2023) Vol. 11, pp. 107194-107217
Open Access | Times Cited: 23
Towards Improving Sustainable Water Management in Geothermal Fields: SVM and RF Land Use Monitoring
Widya Utama, Rista Fitri Indriani, Maman Hermana, et al.
Journal of Human Earth and Future (2024) Vol. 5, Iss. 2, pp. 216-242
Open Access | Times Cited: 13
Land-Use Change Prediction in Dam Catchment Using Logistic Regression-CA, ANN-CA and Random Forest Regression and Implications for Sustainable Land–Water Nexus
Yashon O. Ouma, Boipuso Nkwae, Phillimon Odirile, et al.
Sustainability (2024) Vol. 16, Iss. 4, pp. 1699-1699
Open Access | Times Cited: 6
Forecasting land use in urban Himalayas: a remote sensing-guided machine learning approach
S. M. Fayaz, Akhlaq Amin Wani, Aasif Ali Gatoo, et al.
Environmental Earth Sciences (2025) Vol. 84, Iss. 1
Closed Access
Modelling and visualization behavior simulation in public open spaces based on MLP and SFM
Chunxia Yang, Mengxuan Liu, Zhaoxiang Fan
Simulation Modelling Practice and Theory (2025) Vol. 140, pp. 103076-103076
Closed Access
IMPACTO DA RESOLUÇÃO ESPACIAL EM ABORDAGENS CLASSIFICADORAS POR PIXEL E GEOBIA
Jhonnattan Silva Oliveira, Alisson André Ribeiro, Roberto Macedo Gamarra, et al.
Revista Políticas Públicas & Cidades (2025) Vol. 14, Iss. 1, pp. e1293-e1293
Open Access
Tracking land use land cover changes in the twin cities of Odisha, India using a machine learning based Google Earth Engine approach
Ajaya K. Nayak, Anil Kumar Kar
Urban Water Journal (2025), pp. 1-22
Closed Access
Exploring shifting patterns of land use and land cover dynamics in the Khangchendzonga Biosphere Reserve (1992–2032): a geospatial forecasting approach
Karma Detsen Ongmu Bhutia, Harekrishna Manna, Rajkumar Guria, et al.
Environmental Monitoring and Assessment (2025) Vol. 197, Iss. 3
Closed Access
PV potential analysis through deep learning and remote sensing-based urban land classification
Hongjun Tan, Zhi‐Ling Guo, Yuntian Chen, et al.
Applied Energy (2025) Vol. 387, pp. 125616-125616
Open Access
Evaluating Ecosystem Service Trade-Offs and Recovery Dynamics in Response to Urban Expansion: Implications for Sustainable Management Strategies
Mohammed J. Alshayeb
Sustainability (2025) Vol. 17, Iss. 5, pp. 2194-2194
Open Access
A novel multi-strategy hydrological feature extraction (MHFE) method to improve urban waterlogging risk prediction, a case study of Fuzhou City in China
Haocheng Huang, Xiaohui Lei, Weihong Liao, et al.
The Science of The Total Environment (2023) Vol. 904, pp. 165834-165834
Closed Access | Times Cited: 12
Evaluation of different machine learning algorithms for LULC classification in heterogeneous landscape by using remote sensing and GIS techniques
Hemant Singh Pokhariya, Devesh Singh, Rıshı Prakash
Engineering Research Express (2023) Vol. 5, Iss. 4, pp. 045052-045052
Open Access | Times Cited: 10
Spatial-Temporal Pattern of Land Use and SDG15 Assessment in the Bohai Rim Region Based on GEE and RF Algorithms
Lina Ke, Daqi Liu, Qin Tan, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 7541-7553
Open Access | Times Cited: 3
Exploring land use dynamics in rural areas. An analysis of eight cases in the Global North
Ewa Grabska‐Szwagrzyk, Pegah Hashemvand Khiabani, Melisa Pesoa Marcilla, et al.
Land Use Policy (2024) Vol. 144, pp. 107246-107246
Closed Access | Times Cited: 3
Support vector machine-based spatiotemporal land use land cover change analysis in a complex urban and rural landscape of Akaki river catchment, a Suburb of Addis Ababa, Ethiopia
Hailegebreal Tamirat, Mekuria Argaw, Meron Tekalign
Heliyon (2023) Vol. 9, Iss. 11, pp. e22510-e22510
Open Access | Times Cited: 8
Comparative performance of four machine learning models for land cover classification in a low-cost UAV ultra-high-resolution RGB-only orthomosaic
Muhammad Abdullah Sohl, Syed Amer Mahmood, Mamoon Ur Rasheed
Earth Science Informatics (2024) Vol. 17, Iss. 4, pp. 2869-2885
Closed Access | Times Cited: 2
Mapping Prosopis L. (Mesquites) Using Sentinel-2 MSI Satellite Data, NDVI and SVI Spectral Indices with Maximum-Likelihood and Random Forest Classifiers
Yashon O. Ouma, Thabiso G. Gabasiane, Nyaladzani Nkhwanana
Journal of Sensors (2023) Vol. 2023, pp. 1-18
Open Access | Times Cited: 5
The impact of land use land cover on groundwater level and quality in the Emirate of Abu Dhabi, UAE: an integration approach using remote sensing and hydrological data
Samy Ismail Elmahdy, Mohamed M. Mohamed
Geocarto International (2023) Vol. 38, Iss. 1
Open Access | Times Cited: 4
Freshwater Aquaculture Mapping in “Home of Chinese Crawfish” by Using a Hierarchical Classification Framework and Sentinel-1/2 Data
Chen Wang, Genhou Wang, Geli Zhang, et al.
Remote Sensing (2024) Vol. 16, Iss. 5, pp. 893-893
Open Access | Times Cited: 1
A Novel Geospatial Methodology for Measuring and Mapping Spatiotemporal Built-Up Dynamics Based on Google Earth Engine and Unsupervised K-Means Clustering of Multispectral Satellite Imagery
Alessandro Vitale, Carolina Salvo, Francesco Lamonaca
(2024), pp. 57-62
Closed Access | Times Cited: 1
Mapping the Time-Series of Essential Urban Land Use Categories in China: A Multi-Source Data Integration Approach
Tian Tian, Le Yu, Ying Tu, et al.
Remote Sensing (2024) Vol. 16, Iss. 17, pp. 3125-3125
Open Access
Land use and land cover classification using GEE and machine learning algorithms: a case study of Vaijapur Tehsil
Sandeep V. Gaikwad, Suraj V. Shah, Amol D. Vibhute, et al.
(2024), pp. 24-24
Closed Access
Pv Potential Analysis Through Deep Learning and Remote Sensing-Based Urban Land Classification
Hongjun Tan, Zhi‐Ling Guo, Yuntian Chen, et al.
(2024)
Closed Access
Page 1 - Next Page

Scroll to top