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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:

Urban land use and land cover classification with interpretable machine learning – A case study using Sentinel-2 and auxiliary data
Benyamin Hosseiny, Abdulhakim M. Abdi, Sadegh Jamali
Remote Sensing Applications Society and Environment (2022) Vol. 28, pp. 100843-100843
Open Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

Deep learning for urban land use category classification: A review and experimental assessment
Ziming Li, Бин Чэн, Shengbiao Wu, et al.
Remote Sensing of Environment (2024) Vol. 311, pp. 114290-114290
Open Access | Times Cited: 26
Beyond Supervised Learning in Remote Sensing: A Systematic Review of Deep Learning Approaches
Benyamin Hosseiny, Masoud Mahdianpari, Mohammadali Hemati, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 17, pp. 1035-1052
Open Access | Times Cited: 23
Modeling land use/land cover changes using quad hybrid machine learning model in Bangweulu wetland and surrounding areas, Zambia
Misheck Lesa Chundu, Kawawa Banda, Chisanga Lyoba, et al.
Environmental Challenges (2024) Vol. 14, pp. 100866-100866
Open Access | Times Cited: 10
Spatial and temporal classification and prediction of LULC in Brahmani and Baitarni basin using integrated cellular automata models
Gorantla Indraja, Agarwal Aashi, Vamsi Krishna Vema
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 2
Closed Access | Times Cited: 8
Utilizing Sentinel-2 Satellite Imagery for LULC and NDVI Change Dynamics for Gelephu, Bhutan
Karma Tempa, Masengo Ilunga, Abhishek Agarwal, et al.
Applied Sciences (2024) Vol. 14, Iss. 4, pp. 1578-1578
Open Access | Times Cited: 7
Enhancing Land Cover Mapping and Monitoring: An Interactive and Explainable Machine Learning Approach Using Google Earth Engine
Haifei Chen, Liping Yang, Qiusheng Wu
Remote Sensing (2023) Vol. 15, Iss. 18, pp. 4585-4585
Open Access | Times Cited: 15
Assessment and optimization of urban spatial resilience from the perspective of life circle: A case study of Urumqi, NW China
Shubao Zhang, Jun Lei, Xiaolei Zhang, et al.
Sustainable Cities and Society (2024) Vol. 109, pp. 105527-105527
Open Access | Times Cited: 4
Trends, turning points, and driving forces of desertification in global arid land based on the segmental trend method and SHAP model
Xiaoyu Meng, Shengyu Li, Khaulenbek Akhmadi, et al.
GIScience & Remote Sensing (2024) Vol. 61, Iss. 1
Open Access | Times Cited: 4
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
Land Use and Land Cover Classification for Change Detection Studies Using Convolutional Neural Network
V Pushpalatha, P. Mallikarjuna, H N Mahendra, et al.
Applied Computing and Geosciences (2025), pp. 100227-100227
Open Access
Refining Historical Forest Cover Mapping and Change Analysis with Time Series Algorithm-Based Samples Transfer
Q. Guo, Ling Han, Liangzhi Li, et al.
Physics and Chemistry of the Earth Parts A/B/C (2025) Vol. 139, pp. 103893-103893
Closed Access
Exploring land cover change impacts on ecosystem services using machine learning technique and scenario simulation: case study of the Upper Citarum River Basin, Indonesia
Andi Muhammad Yasser Hakim, Budi Heru Santosa, Dwi Nowo Martono, et al.
Modeling Earth Systems and Environment (2025) Vol. 11, Iss. 3
Closed Access
Influence of land cover on noise simulation output – A case study in Malmö, Sweden
Karolina Pantazatou, Kristoffer Mattisson, Per‐Ola Olsson, et al.
Noise Mapping (2025) Vol. 12, Iss. 1
Open Access
Importance of Spectral Information, Seasonality, and Topography on Land Cover Classification of Tropical Land Cover Mapping
Chansopheaktra Sovann, Stefan Olin, Ali Mansourian, et al.
Remote Sensing (2025) Vol. 17, Iss. 9, pp. 1551-1551
Open Access
Deep learning U-Net classification of Sentinel-1 and 2 fusions effectively demarcates tropical montane forest's deforestation
Richard Dein D. Altarez, Armando Apan, Tek Maraseni
Remote Sensing Applications Society and Environment (2022) Vol. 29, pp. 100887-100887
Closed Access | Times Cited: 18
Developing a mapping procedure for urban forests using online map services and Sentinel-2A images
Jinsuk Jeong, Chan‐Ryul Park
Urban forestry & urban greening (2023) Vol. 89, pp. 128095-128095
Open Access | Times Cited: 7
Do SHapley Additive exPlanations Enhance Classification Accuracy? An Investigation of Game Theory for Mapping Cityscape Blue-Green Infrastructures Using Sentinel-2
Mehedi Hasan, Malay Pramanik, Iftekharul Alam, et al.
(2024)
Open Access | Times Cited: 2
Comparative study of multiple algorithms classification for Land Use and Land Cover Change Detection and its impact on local climate of Mardan District, Pakistan
Farnaz, Narissara Nuthammachot, Muhammad Ali
Environmental Challenges (2024), pp. 101069-101069
Open Access | Times Cited: 2
SVM-based classification of multi-temporal Sentinel-2 imagery of dense urban land cover of Delhi-NCR region
Yash Khurana, Pramod Kumar Soni, Devershi Pallavi Bhatt
Earth Science Informatics (2023) Vol. 16, Iss. 2, pp. 1765-1777
Open Access | Times Cited: 4
Evaluating Machine-Learning Algorithms for Mapping LULC of the uMngeni Catchment Area, KwaZulu-Natal
Orlando Bhungeni, Ashadevi Ramjatan, Michael Gebreslasie
Remote Sensing (2024) Vol. 16, Iss. 12, pp. 2219-2219
Open Access | Times Cited: 1
LULC change detection analysis of Chamarajanagar district, Karnataka state, India using CNN-based deep learning method
H N Mahendra, V. Pushpalatha, S Mallikarjunaswamy, et al.
Advances in Space Research (2024)
Closed Access | Times Cited: 1
Enhanced Lithological Mapping in Arid Crystalline Regions Using Explainable AI and Multi-Spectral Remote Sensing Data
Hesham Morgan, Ali Elgendy, Amir Said, et al.
Computers & Geosciences (2024), pp. 105738-105738
Open Access | Times Cited: 1
The colours of the ocean using multispectral satellite imagery to estimate sea surface temperature and salinity in global coastal areas, the gulf of Mexico and the UK
Solomon White, Tiago Silva, Laurent O. Amoudry, et al.
Frontiers in Environmental Science (2024) Vol. 12
Open Access | Times Cited: 1
Utilizing Sentinel-2 for Recent Urbanization Trends on LULC Using a Semi-Automatic RF Classifier and Vegetation Change Dynamics for Gelephu, Bhutan
Karma Tempa, Masengo Ilunga, Abhishek Agarwal, et al.
(2023)
Open Access | Times Cited: 2
Urban Land Cover Classification of Multispectral Satellite Images Using Artificial Neural Networks
Hrishka Gupta, Tarun Kumar, Pramod Kumar Soni
Lecture notes in networks and systems (2024), pp. 367-377
Closed Access
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