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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:

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: 164

Showing 26-50 of 164 citing articles:

Applicability and sensitivity analysis of vector cellular automata model for land cover change
Yao Yao, Ying Jiang, Zhenhui Sun, et al.
Computers Environment and Urban Systems (2024) Vol. 109, pp. 102090-102090
Closed Access | Times Cited: 8
A Novel Method for Predicting Urban Residential Quality Distribution Based on Multi-Interest Consideration
Jiawen Ren, Xin Zhou, Jingjing An, et al.
Buildings (2025) Vol. 15, Iss. 2, pp. 192-192
Open Access | Times Cited: 1
Forecasting deforestation and carbon loss across New Guinea using machine learning and cellular automata
Christoph Parsch, Benjamin Wagner, Jayden E. Engert, et al.
The Science of The Total Environment (2025) Vol. 970, pp. 178864-178864
Open Access | Times Cited: 1
Assessing the impact of dams on riparian and deltaic vegetation using remotely-sensed vegetation indices and Random Forests modelling
George Ν. Zaimes, Dimitrios Gounaridis, Elias Symenonakis
Ecological Indicators (2019) Vol. 103, pp. 630-641
Open Access | Times Cited: 71
Urban expansion simulation and development-oriented zoning of rapidly urbanising areas: A case study of Hangzhou
Ye Zhou, Tao Wu, Yechenzi Wang
The Science of The Total Environment (2021) Vol. 807, pp. 150813-150813
Open Access | Times Cited: 48
Modeling the response of ecological service value to land use change through deep learning simulation in Lanzhou, China
Jiamin Liu, Bin Xiao, Jizong Jiao, et al.
The Science of The Total Environment (2021) Vol. 796, pp. 148981-148981
Closed Access | Times Cited: 45
A hybrid spatiotemporal convolution-based cellular automata model (ST-CA) for land-use/cover change simulation
Jiachen Geng, Shi Shen, Changxiu Cheng, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 110, pp. 102789-102789
Open Access | Times Cited: 34
Evaluation of debris flow and landslide hazards using ensemble framework of Bayesian- and tree-based models
Subodh Chandra Pal, Rabin Chakrabortty, Asish Saha, et al.
Bulletin of Engineering Geology and the Environment (2022) Vol. 81, Iss. 1
Closed Access | Times Cited: 29
Mapping potential wetlands by a new framework method using random forest algorithm and big Earth data: A case study in China's Yangtze River Basin
Hengxing Xiang, Yanbiao Xi, Dehua Mao, et al.
Global Ecology and Conservation (2023) Vol. 42, pp. e02397-e02397
Open Access | Times Cited: 21
A Random Forest-Based CA-Markov Model to Examine the Dynamics of Land Use/Cover Change Aided with Remote Sensing and GIS
Zhenyu Zhang, Georg Hörmann, Jinliang Huang, et al.
Remote Sensing (2023) Vol. 15, Iss. 8, pp. 2128-2128
Open Access | Times Cited: 19
Spatiotemporal dislocation of ecosystem supply and demand services from habitat quality under different development scenarios
Hongxiang Wang, Weiqi Yuan, Yajuan Ma, et al.
Ecological Indicators (2023) Vol. 157, pp. 111230-111230
Open Access | Times Cited: 19
Mapping, intensities and future prediction of land use/land cover dynamics using google earth engine and CA- artificial neural network model
Maysoon A. A. Osman, Elfatih M. Abdel‐Rahman, Joshua Orungo Onono, et al.
PLoS ONE (2023) Vol. 18, Iss. 7, pp. e0288694-e0288694
Open Access | Times Cited: 17
Socio-economic impacts of agricultural land conversion: A meta-analysis
Zhihui Zhang, Samane Ghazali, Astrida Miceikienė, et al.
Land Use Policy (2023) Vol. 132, pp. 106831-106831
Closed Access | Times Cited: 17
Identifying the drivers of chlorophyll-a dynamics in a landscape lake recharged by reclaimed water using interpretable machine learning
Chenchen Wang, Juan Liu, Chunsheng Qiu, et al.
The Science of The Total Environment (2023) Vol. 906, pp. 167483-167483
Closed Access | Times Cited: 17
A cellular automata model coupled with partitioning CNN-LSTM and PLUS models for urban land change simulation
Chen Huang, Ye Zhou, Tao Wu, et al.
Journal of Environmental Management (2023) Vol. 351, pp. 119828-119828
Closed Access | Times Cited: 17
Dynamic simulation and projection of land use change using system dynamics model in the Chinese Tianshan mountainous region, central Asia
Zhengrong Zhang, Xuemei Li, Xinyu Liu, et al.
Ecological Modelling (2023) Vol. 487, pp. 110564-110564
Closed Access | Times Cited: 16
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
Flood Risk Assessment and Regionalization from Past and Future Perspectives at Basin Scale
Chengguang Lai, Xiaohong Chen, Zhaoli Wang, et al.
Risk Analysis (2020) Vol. 40, Iss. 7, pp. 1399-1417
Closed Access | Times Cited: 46
Improving spatial accuracy of urban growth simulation models using ensemble forecasting approaches
Hossein Shafizadeh‐Moghadam
Computers Environment and Urban Systems (2019) Vol. 76, pp. 91-100
Closed Access | Times Cited: 45
Spatial modeling of land-use change in a rapidly urbanizing landscape in central Iran: integration of remote sensing, CA-Markov, and landscape metrics
Zeynab Karimzadeh Motlagh, Ali Lotfi, Saeid Pourmanafi, et al.
Environmental Monitoring and Assessment (2020) Vol. 192, Iss. 11
Closed Access | Times Cited: 43
Lessons to Be Learned: Groundwater Depletion in Chile’s Ligua and Petorca Watersheds through an Interdisciplinary Approach
Iongel Duran-Llacer, Juan Munizaga, José Luis Arumí, et al.
Water (2020) Vol. 12, Iss. 9, pp. 2446-2446
Open Access | Times Cited: 40
Prediction of the landscape pattern of the Yancheng Coastal Wetland, China, based on XGBoost and the MCE-CA-Markov model
Lina Hao, Shuang He, Jialing Zhou, et al.
Ecological Indicators (2022) Vol. 145, pp. 109735-109735
Open Access | Times Cited: 27
Modeling dynamic land use changes in the eastern portion of the hexi corridor, China by cnn-gru hybrid model
Bin Xiao, Jiamin Liu, Jizong Jiao, et al.
GIScience & Remote Sensing (2022) Vol. 59, Iss. 1, pp. 501-519
Open Access | Times Cited: 23
Optimization of Spatial Pattern of Land Use: Progress, Frontiers, and Prospects
Changchang Liu, Chuxiong Deng, Zhongwu Li, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 10, pp. 5805-5805
Open Access | Times Cited: 23
Spatio-temporal modeling of parcel-level land-use changes using machine learning methods
Emre Tepe, Abolfazl Safikhani
Sustainable Cities and Society (2023) Vol. 90, pp. 104390-104390
Open Access | Times Cited: 14

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