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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:

Neural-network-based cellular automata for simulating multiple land use changes using GIS
Xia Li, Anthony Gar‐On Yeh
International Journal of Geographical Information Science (2002) Vol. 16, Iss. 4, pp. 323-343
Closed Access | Times Cited: 826

Showing 1-25 of 826 citing articles:

A future land use simulation model (FLUS) for simulating multiple land use scenarios by coupling human and natural effects
Xiaoping Liu, Xun Liang, Xia Li, et al.
Landscape and Urban Planning (2017) Vol. 168, pp. 94-116
Closed Access | Times Cited: 1392
Land use change modelling: current practice and research priorities
Peter H. Verburg, P.P. Schot, Martin Dijst, et al.
GeoJournal (2004) Vol. 61, Iss. 4, pp. 309-324
Closed Access | Times Cited: 1020
Flood hazard risk assessment model based on random forest
Zhaoli Wang, Chengguang Lai, Xiaohong Chen, et al.
Journal of Hydrology (2015) Vol. 527, pp. 1130-1141
Closed Access | Times Cited: 704
Cellular automata models for the simulation of real-world urban processes: A review and analysis
Inés Santé, Andrés M. García, David Miranda, et al.
Landscape and Urban Planning (2010) Vol. 96, Iss. 2, pp. 108-122
Closed Access | Times Cited: 676
Delineating multi-scenario urban growth boundaries with a CA-based FLUS model and morphological method
Xun Liang, Xiaoping Liu, Xia Li, et al.
Landscape and Urban Planning (2018) Vol. 177, pp. 47-63
Closed Access | Times Cited: 419
A New Global Land-Use and Land-Cover Change Product at a 1-km Resolution for 2010 to 2100 Based on Human–Environment Interactions
Xia Li, Guangzhao Chen, Xiaoping Liu, et al.
Annals of the American Association of Geographers (2017) Vol. 107, Iss. 5, pp. 1040-1059
Closed Access | Times Cited: 361
A remote sensing aided multi-layer perceptron-Markov chain analysis for land use and land cover change prediction in Patna district (Bihar), India
Varun Narayan Mishra, Praveen Kumar
Arabian Journal of Geosciences (2016) Vol. 9, Iss. 4
Closed Access | Times Cited: 270
Automated identification and characterization of parcels with OpenStreetMap and points of interest
Xingjian Liu, Ying Long
Environment and Planning B Planning and Design (2015) Vol. 43, Iss. 2, pp. 341-360
Closed Access | Times Cited: 269
Modeling urban land-use dynamics in a fast developing city using the modified logistic cellular automaton with a patch-based simulation strategy
Yimin Chen, Xia Li, Xiaoping Liu, et al.
International Journal of Geographical Information Science (2013) Vol. 28, Iss. 2, pp. 234-255
Closed Access | Times Cited: 254
Monitoring and predicting land use change in Tripoli Metropolitan City using an integrated Markov chain and cellular automata models in GIS
Abubakr A. A. Al-sharif, Biswajeet Pradhan
Arabian Journal of Geosciences (2013) Vol. 7, Iss. 10, pp. 4291-4301
Closed Access | Times Cited: 253
Urban growth simulation by incorporating planning policies into a CA-based future land-use simulation model
Xun Liang, Xiaoping Liu, Dan Li, et al.
International Journal of Geographical Information Science (2018) Vol. 32, Iss. 11, pp. 2294-2316
Closed Access | Times Cited: 253
Simulating urban growth by integrating landscape expansion index (LEI) and cellular automata
Xiaoping Liu, Lei Ma, Xia Li, et al.
International Journal of Geographical Information Science (2013) Vol. 28, Iss. 1, pp. 148-163
Closed Access | Times Cited: 248
A spatiotemporal model of land use change based on ant colony optimization, Markov chain and cellular automata
Xin Yang, Xinqi Zheng, Lina Lv
Ecological Modelling (2012) Vol. 233, pp. 11-19
Closed Access | Times Cited: 246
Machine learning in modelling land-use and land cover-change (LULCC): Current status, challenges and prospects
Junye Wang, Michael Bretz, M. Ali Akber Dewan, et al.
The Science of The Total Environment (2022) Vol. 822, pp. 153559-153559
Closed Access | Times Cited: 239
Land use changes modelling using advanced methods: Cellular automata and artificial neural networks. The spatial and explicit representation of land cover dynamics at the cross-border region scale
Reine Maria Basse, Hichem Omrani, Omar Charif, et al.
Applied Geography (2014) Vol. 53, pp. 160-171
Closed Access | Times Cited: 226
Prediction of Land Use and Land Cover Changes for North Sumatra, Indonesia, Using an Artificial-Neural-Network-Based Cellular Automaton
Muhammad Hadi Saputra, Han Soo Lee
Sustainability (2019) Vol. 11, Iss. 11, pp. 3024-3024
Open Access | Times Cited: 204
A land use change model: Integrating landscape pattern indexes and Markov-CA
Xin Yang, Xinqi Zheng, Rui Chen
Ecological Modelling (2014) Vol. 283, pp. 1-7
Closed Access | Times Cited: 199
Urban expansion and form changes across African cities with a global outlook: Spatiotemporal analysis of urban land densities
Gang Xu, Ting Dong, Patrick Brandful Cobbinah, et al.
Journal of Cleaner Production (2019) Vol. 224, pp. 802-810
Closed Access | Times Cited: 174
Forecasting Urban Land Use Change Based on Cellular Automata and the PLUS Model
Linfeng Xu, Xuan Liu, De Tong, et al.
Land (2022) Vol. 11, Iss. 5, pp. 652-652
Open Access | Times Cited: 172
Projections of land use changes under the plant functional type classification in different SSP-RCP scenarios in China
Weilin Liao, Xiaoping Liu, Xiyun Xu, et al.
Science Bulletin (2020) Vol. 65, Iss. 22, pp. 1935-1947
Closed Access | Times Cited: 168
Spatially explicit simulation of land use/land cover changes: Current coverage and future prospects
Yanjiao Ren, Yihe Lü, Alexis Comber, et al.
Earth-Science Reviews (2019) Vol. 190, pp. 398-415
Closed Access | Times Cited: 166
A Random Forest-Cellular Automata modelling approach to explore future land use/cover change in Attica (Greece), under different socio-economic realities and scales
Dimitrios Gounaridis, Ioannis Chorianopoulos, Elías Symeonakis, et al.
The Science of The Total Environment (2018) Vol. 646, pp. 320-335
Open Access | Times Cited: 165
Land use conflict identification and sustainable development scenario simulation on China's southeast coast
Lilin Zou, Yansui Liu, Jianying Wang, et al.
Journal of Cleaner Production (2019) Vol. 238, pp. 117899-117899
Closed Access | Times Cited: 153
Global land projection based on plant functional types with a 1-km resolution under socio-climatic scenarios
Guangzhao Chen, Xia Li, Xiaoping Liu
Scientific Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 110
Evaluating the impacts of land use change on ecosystem service values under multiple scenarios in the Hunshandake region of China
Yu Xiao, Mengdong Huang, Gaodi Xie, et al.
The Science of The Total Environment (2022) Vol. 850, pp. 158067-158067
Closed Access | Times Cited: 74
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