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 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: 23

Showing 23 citing articles:

Predicting the network shift of large urban agglomerations in China using the deep-learning gravity model: A perspective of population migration
Xinyue Gu, Xingyu Tang, Tong Chen, et al.
Cities (2023) Vol. 145, pp. 104680-104680
Closed Access | Times Cited: 15

Improving Convective Cloud Classification with Deep Learning: The CC-Unet Model
Humuntal Rumapea, Mohammad Zarlis, Syahril Efendy, et al.
International Journal on Advanced Science Engineering and Information Technology (2024) Vol. 14, Iss. 1, pp. 28-36
Open Access | Times Cited: 5

Semantic Web-Enhanced Reinforcement Learning Model for Urban Planning Optimization
Yimeng Liang, Jun Zhang
International Journal on Semantic Web and Information Systems (2025) Vol. 21, Iss. 1, pp. 1-20
Open Access

Integrating cellular automata with long short-term memory neural network to simulate urban expansion using time-series data
Zihao Zhou, Yimin Chen, Zhensheng Wang, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 127, pp. 103676-103676
Open Access | Times Cited: 4

Coupling video vision transformer (ViVit) into land change simulation: a comparison with three-dimensional convolutional neural network (3DCNN)
Haiyang Li, Liang Fan, Yifan Gao, et al.
Journal of Spatial Science (2024) Vol. 69, Iss. 3, pp. 873-895
Open Access | Times Cited: 4

Identification of Salt Marsh Vegetation in the Yellow River Delta Using UAV Multispectral Imagery and Deep Learning
Xiaohui Bai, Changzhi Yang, Lei Fang, et al.
Drones (2025) Vol. 9, Iss. 4, pp. 235-235
Open 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

VST-PCA: A Land Use Change Simulation Model Based on Spatiotemporal Feature Extraction and Pre-Allocation Strategy
Minghao Liu, Qingxi Luo, Jianxiang Wang, et al.
ISPRS International Journal of Geo-Information (2024) Vol. 13, Iss. 3, pp. 100-100
Open Access | Times Cited: 2

Predictive modelling on Spatial–temporal Land Use and Land Cover changes at the Casablanca-Settat Region in Morocco
Anas Sabri, Hicham Bahi, Lahouari Bounoua, et al.
Modeling Earth Systems and Environment (2024)
Closed Access | Times Cited: 1

Deep Learning Analysis of Urban Growth Boundaries: An Evaluation of Effectiveness in Mitigating Urban Sprawl in China
Yong Liu, Lulu He, Jinzhu Wang, et al.
Journal of Urban Planning and Development (2023) Vol. 150, Iss. 1
Closed Access | Times Cited: 2

Mapping the Time-Series of Essential Urban Land Use Categories in China: A Multi-Source Data Integration Approach
Tian Tian, Le Yu, Ying Tu, et al.
Remote Sensing (2024) Vol. 16, Iss. 17, pp. 3125-3125
Open Access

A Novel Deep Learning Prospective Urban Growth Model Applied to Multispectral Satellite Data over the City of Córdoba, Argentina
María Sol Villella, Paolo Gamba
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2024) Vol. 4, pp. 4674-4678
Closed Access

Analysis and prediction of land use change characteristics in Nanchang from 2005 to 2035
Shuai Fu, Hongbo Wang, Rui Zhong, et al.
Research Square (Research Square) (2023)
Open Access

Spatial and temporal evolution of urban land use change in Nanchang by CA-Markov model
Shuai Fu, Bingxian Xu, Rui Zhong, et al.
Research Square (Research Square) (2023)
Open Access

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