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:

Machine learning-based monitoring and modeling for spatio-temporal urban growth of Islamabad
Adeer Khan, Mehran Sudheer
The Egyptian Journal of Remote Sensing and Space Science (2022) Vol. 25, Iss. 2, pp. 541-550
Open Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Machine learning and remote sensing integration for leveraging urban sustainability: A review and framework
Fei Li, Tan Yiğitcanlar, Madhav Prasad Nepal, et al.
Sustainable Cities and Society (2023) Vol. 96, pp. 104653-104653
Open Access | Times Cited: 100
Spatio-temporal change analysis and prediction of land use and land cover changes using CA-ANN model
Ahmet Salih Değermenci
Environmental Monitoring and Assessment (2023) Vol. 195, Iss. 10
Closed Access | Times Cited: 26
Quantitative assessment of Land use/land cover changes in a developing region using machine learning algorithms: A case study in the Kurdistan Region, Iraq
Abdulqadeer Rash, Yaseen T. Mustafa, Rahel Hamad
Heliyon (2023) Vol. 9, Iss. 11, pp. e21253-e21253
Open Access | Times Cited: 26
A Novel Urban Heat Vulnerability Analysis: Integrating Machine Learning and Remote Sensing for Enhanced Insights
Fei Li, Tan Yiğitcanlar, Madhav Prasad Nepal, et al.
Remote Sensing (2024) Vol. 16, Iss. 16, pp. 3032-3032
Open Access | Times Cited: 10
Predicting land cover changes and carbon stock fluctuations in Fuzhou, China: A deep learning and InVEST approach
Chunqiang Li, Hanqiu Xu, Peijun Du, et al.
Ecological Indicators (2024) Vol. 167, pp. 112658-112658
Open Access | Times Cited: 9
Land-Use Land-Cover Dynamics and Future Projections Using GEE, ML, and QGIS-MOLUSCE: A Case Study in Manisa
Halil İbrahim Gündüz
Sustainability (2025) Vol. 17, Iss. 4, pp. 1363-1363
Open Access | Times Cited: 1
A cellular automata-based approach for spatio-temporal modeling of the city center as a complex system: The case of Kastamonu, Türkiye
Öznur Işınkaralar, Çiğdem Varol
Cities (2022) Vol. 132, pp. 104073-104073
Closed Access | Times Cited: 31
Simulation of Land Use/Land Cover Dynamics Using Google Earth Data and QGIS: A Case Study on Outer Ring Road, Southern India
Padma Srinivasaperumal, S. Vidhya Lakshmi, Ramaiah Prakash, et al.
Sustainability (2022) Vol. 14, Iss. 24, pp. 16373-16373
Open Access | Times Cited: 31
Evaluation and mapping of predicted future land use changes using hybrid models in a coastal area
Hafez Ahmad, Mohammed Abdallah, Felix Jose, et al.
Ecological Informatics (2023) Vol. 78, pp. 102324-102324
Closed Access | Times Cited: 22
Analyzing Urban Expansion and Land Use Dynamics in Bagua Grande and Chachapoyas Using Cloud Computing and Predictive Modeling
Elgar Barboza, Efraín Y. Turpo Cayo, Rolando Salas López, et al.
Earth Systems and Environment (2024)
Closed Access | Times Cited: 8
Modeling Land Use Change in Sana’a City of Yemen with MOLUSCE
Eman A. Alshari, Bharti W. Gawali
Journal of Sensors (2022) Vol. 2022, pp. 1-15
Open Access | Times Cited: 24
Patterns of green space change and fragmentation in a rapidly expanding city of northern Ghana, West Africa
Tony Namwinbown, Ziblim Abukari Imoro, Conrad Atogi-Akwoa Weobong, et al.
City and Environment Interactions (2023) Vol. 21, pp. 100136-100136
Open Access | Times Cited: 14
Exploring the potentialities and challenges of deep learning for simulation and prediction of urban sprawl features
Ange Gabriel Belinga, Stéphane Cédric Koumetio Tekouabou, Mohamed El Haziti
Data & Policy (2025) Vol. 7
Open Access
Energy Demand Forecasting for Hybrid Microgrid Systems Using Machine Learning Models
Tahir A. Zarma, Elmustafa Sayed Ali, Ahmadu A. Galadima, et al.
Proceedings of Engineering and Technology Innovation (2025) Vol. 29, pp. 68-83
Open Access
A mixed training sample-based spectral unmixing analysis for improving fractional abundance estimation of Detroit landscape endmembers using Landsat images
Shu Chen, Guangxing Wang, Xiaoyu Xu, et al.
Urban forestry & urban greening (2025), pp. 128786-128786
Closed Access
Leveraging CA-ANN Modelling for SDGs Alignment: Previse Future Land Use Patterns and their Influence on Mirik Lake of sub-Himalayan region
Md Ashif Ali, Saleha Jamal, Normala Abdul Wahid, et al.
World Development Sustainability (2025), pp. 100218-100218
Open Access
Evaluating machine learning algorithms for classifying urban heterogeneous landscapes using GEE
Padmanabha Chowdhury, Rakibul Islam, Rifat Bin Hossain, et al.
Elsevier eBooks (2025), pp. 379-397
Closed Access
Evaluation of the synergistic change in cultivated land and wetland in northeast China from 1990 to 2035
Mengjing Li, Wei Ye, Yajuan Li, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Multilayer perceptron and Markov Chain analysis based hybrid-approach for predicting land use land cover change dynamics with Sentinel-2 imagery
Hasnain Abbas, Tao Wang, Garee Khan, et al.
Geocarto International (2023) Vol. 38, Iss. 1
Open Access | Times Cited: 9
Google Earth Engine for improved spatial planning in agricultural and forested lands: A method for projecting future ecological quality
Abdurrahman Zaki, Imam Buchori, Pangi Pangi, et al.
Remote Sensing Applications Society and Environment (2023) Vol. 32, pp. 101078-101078
Closed Access | Times Cited: 9
The Rohingya refugee crisis in Bangladesh: assessing the impact on land use patterns and land surface temperature using machine learning
Faishal Ahmed, Siam Alam, Ovi Ranjan Saha, et al.
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 6
Open Access | Times Cited: 3
LULC change detection using support vector machines and cellular automata-based ANN models in Guna Tana watershed of Abay basin, Ethiopia
Damte Tegegne Fetene, Tarun Kumar Lohani, Abdella Kemal Mohammed
Environmental Monitoring and Assessment (2023) Vol. 195, Iss. 11
Closed Access | Times Cited: 7
Decadal analysis and simulation of land use and land cover changes in Taiwan using machine learning and markov chain models
Cheng Liu, Aman Arora
Environment Development and Sustainability (2024)
Closed Access | Times Cited: 2
Urban growth modeling for the assessment of future climate and disaster risks: approaches, gaps and needs
Andrea Reimuth, Michael Hagenlocher, Liang Emlyn Yang, et al.
Environmental Research Letters (2023) Vol. 19, Iss. 1, pp. 013002-013002
Open Access | Times Cited: 6
Modeling Land Cover Change Using MOLUSCE in Kahayan Tengah Forest Management Unit, Kalimantan Tengah
Beni Iskandar, Saidah, Adib Ahmad Kurnia, et al.
Jurnal Sylva Lestari (2024) Vol. 12, Iss. 2, pp. 242-257
Open Access | Times Cited: 1
Page 1 - Next Page

Scroll to top