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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:

Simulating urban land growth by incorporating historical information into a cellular automata model
Haijun Wang, Jiaqi Guo, Bin Zhang, et al.
Landscape and Urban Planning (2021) Vol. 214, pp. 104168-104168
Closed Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Dynamic simulation patterns and spatiotemporal analysis of land-use/land-cover changes in the Wuhan metropolitan area, China
Quan Wang, Haijun Wang, Ruihan Chang, et al.
Ecological Modelling (2021) Vol. 464, pp. 109850-109850
Closed Access | Times Cited: 61
A novel spatio-temporal cellular automata model coupling partitioning with CNN-LSTM to urban land change simulation
Ye Zhou, Chen Huang, Tao Wu, et al.
Ecological Modelling (2023) Vol. 482, pp. 110394-110394
Closed Access | Times Cited: 28
Model's parameter sensitivity assessment and their impact on Urban Densification using regression analysis
Anasua Chakraborty, Mitali Yeshwant Joshi, Ahmed Mustafà, et al.
Geography and sustainability (2025), pp. 100276-100276
Open Access | Times Cited: 1
Incorporating historical information into the multi-type ant colony optimization model to optimize patch-level land use allocation
Zhaomin Tong, Yaolin Liu, Ziyi Zhang, et al.
Sustainable Cities and Society (2024) Vol. 106, pp. 105404-105404
Closed Access | Times Cited: 7
Simulating large-scale urban land-use patterns and dynamics using the U-Net deep learning architecture
Jinzhu Wang, Michalis Hadjikakou, Richard J. Hewitt, et al.
Computers Environment and Urban Systems (2022) Vol. 97, pp. 101855-101855
Closed Access | Times Cited: 24
Spatial Simulation and Prediction of Land Use/Land Cover in the Transnational Ili-Balkhash Basin
敬二 樋口, Jinjie Wang, Jianli Ding, et al.
Remote Sensing (2023) Vol. 15, Iss. 12, pp. 3059-3059
Open Access | Times Cited: 16
Data-driven approach to spatiotemporal dynamic risk assessment of urban flooding based on shared socio-economic pathways
Mo Wang, Fu‐Rong Chen, Dongqing Zhang, et al.
Ecological Indicators (2023) Vol. 154, pp. 110764-110764
Open Access | Times Cited: 12
An urban cellular automata model based on a spatiotemporal non-stationary neighborhood
Haoran Zeng, Haijun Wang, Bin Zhang
International Journal of Geographical Information Science (2024) Vol. 38, Iss. 5, pp. 902-930
Open Access | Times Cited: 4
CA-based urban growth model considering the temporal dynamic adjustment of local spatial driving factors: An application in Wuhan City
Jianwei Sun, Qingsong He, Haofeng Wang
Heliyon (2024) Vol. 10, Iss. 9, pp. e30678-e30678
Open Access | Times Cited: 4
LUCC Simulation Based on RF-CNN-LSTM-CA Model with High-Quality Seed Selection Iterative Algorithm
Minghao Liu, Haiyan Chen, Liai Qi, et al.
Applied Sciences (2023) Vol. 13, Iss. 6, pp. 3407-3407
Open Access | Times Cited: 11
Assessing the accuracy of sensitivity analysis: an application for a cellular automata model of Bogota’s urban wetland changes
Yenny Cuellar, Liliana Pérez
Geocarto International (2023) Vol. 38, Iss. 1
Open Access | Times Cited: 10
A methodology to quantify the neighborhood decay effect of urban cellular automata models
Haoran Zeng, Haijun Wang, Bin Zhang, et al.
International Journal of Geographical Information Science (2023) Vol. 37, Iss. 6, pp. 1236-1263
Closed Access | Times Cited: 10
STUrban: A novel spatial-temporal deep learning model to simulate long-term urban growth
Zihao Zhou, Yimin Chen
(2025), pp. 100004-100004
Open Access
A Local Moran’s I guided transformer cellular automata for simulating heterogeneous urban growth
Qingyang Xu, Xuefeng Guan, Xiaoyu Chen, et al.
International Journal of Geographical Information Science (2025), pp. 1-26
Closed Access
Metodología identificadora de áreas con congestión, accidentalidad y corredores de movilidad densificados, por automóvil particular
Jazon Fabian Hernandez Peña, Emilio Bravo Grajales, Carlos Islas-Moreno, et al.
Revista de Ciencias Tecnológicas (2025) Vol. 8, Iss. 1, pp. 1-29
Open Access
A similarity law-based approach for the transferability of the urban expansion model
Haijun Wang, Y.W. Liang, Shan Xu, et al.
International Journal of Geographical Information Science (2025), pp. 1-22
Closed Access
A maps-to-maps approach for simulating urban land expansion based on convolutional long short-term memory neural networks
Zihao Zhou, Yimin Chen, Xiaoping Liu, et al.
International Journal of Geographical Information Science (2024) Vol. 38, Iss. 3, pp. 503-526
Open Access | Times Cited: 3
Integrated Multicriteria Approach for Assessing Land Suitability and Predicting Informal Growth: The Case of the Greater Cairo Region, Egypt
Ibrahim M. Badwi
Journal of Urban Planning and Development (2024) Vol. 150, Iss. 2
Closed Access | Times Cited: 3
Evaluating and simulating the impacts of land use patterns on carbon emissions in coal resource-based regions: A case study of shanxi province, China
Kunpeng Wang, Zhe Li, Zhanjun Xu, et al.
Journal of Cleaner Production (2024) Vol. 458, pp. 142494-142494
Closed Access | Times Cited: 3
Modeling gridded urban fractional change using the temporal context information in the urban cellular automata model
Wanru He, Xuecao Li, Yuyu Zhou, et al.
Cities (2022) Vol. 133, pp. 104146-104146
Closed Access | Times Cited: 13
Coupling Random Forest, Allometric Scaling, and Cellular Automata to Predict the Evolution of LULC under Various Shared Socioeconomic Pathways
Jiangfu Liao, Lina Tang, Guofan Shao
Remote Sensing (2023) Vol. 15, Iss. 8, pp. 2142-2142
Open Access | Times Cited: 7
A spatial hierarchical learning module based cellular automata model for simulating urban expansion: case studies of three Chinese urban areas
Xiaoyong Tan, Min Deng, Kaiqi Chen, et al.
GIScience & Remote Sensing (2023) Vol. 61, Iss. 1
Open Access | Times Cited: 6
Neural Cellular Automata-based Land Use Changes Simulation
Jinian Zhang, Lanfa Liu
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences (2024) Vol. XLVIII-1-2024, pp. 843-848
Open Access | Times Cited: 1
The simulation of urban development with the consideration of ground deformation threats in Sidoarjo Regency, East Java Province of Indonesia
Atrida Hadianti, Bondan Galih Dewanto
Remote Sensing Applications Society and Environment (2023) Vol. 32, pp. 101019-101019
Closed Access | Times Cited: 3
Assessing and Enhancing Predictive Efficacy of Machine Learning Models in Urban Land Dynamics: A Comparative Study Using Multi-Resolution Satellite Data
Mohammadreza Safabakhshpachehkenari, Hideyuki Tonooka
Remote Sensing (2023) Vol. 15, Iss. 18, pp. 4495-4495
Open Access | Times Cited: 3
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