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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:

Spatial planning of urban communities via deep reinforcement learning
Yu Zheng, Yu-Ming Lin, Liang Zhao, et al.
Nature Computational Science (2023) Vol. 3, Iss. 9, pp. 748-762
Closed Access | Times Cited: 46

Showing 26-50 of 46 citing articles:

MetroGNN: Metro Network Expansion with Reinforcement Learning
Hongyuan Su, Yu Zheng, Jingtao Ding, et al.
(2024), pp. 650-653
Open Access
Special Issue “Artificial Intelligence in Complex Networks”
Xiaoyang Liu
Applied Sciences (2024) Vol. 14, Iss. 7, pp. 2822-2822
Open Access
A systematic map of machine learning in urban climate change mitigation
Marie Josefine Hintz, Nikola Milojevic-Dupont, Felix Creutzig, et al.
Research Square (Research Square) (2024)
Open Access
AI spatio-temporal prediction of industrial heritage land-use influenced by dynamic passenger flow at metro stations
Fei Fu, Ke Chen, Tian Fangzhou, et al.
Research Square (Research Square) (2024)
Open Access
Ergatic approach to reconstruction and modeling of the spatial future of Ukraine
Mykola Diomin, Mykhailo Habrel, Mykoła Habrel, et al.
Urban Planning and Transport Research (2024) Vol. 12, Iss. 1
Open Access
Optimizing Machine Learning Models for Urban Sciences: A Comparative Analysis of Hyperparameter Tuning Methods
Tris Kee, Winky K.O. Ho
(2024)
Open Access
Deep Learning Model Construction of Urban Planning Image Data Processing and Health Intelligence System
Can Xu
Scalable Computing Practice and Experience (2024) Vol. 25, Iss. 5, pp. 4383-4389
Open Access
Rapid assessment of large-scale urban destruction in conflict zones using hypergraph-based visual-structural machine learning
Xinjie Zhao, So Morikawa
Journal of Engineering Research (2024)
Open Access
Assessment of an Agent’s Wayfinding of the Urban Environment Through Reinforcement Learning
Mahad Imhemed, Can Uzun
Journal of Computational Design (2024) Vol. 5, Iss. 2, pp. 259-278
Open Access
Research on the Adaptability of Generative Algorithm in Generative Landscape Design
Ran Chen, Xiaomin Luo, Yueheng He, et al.
Landscape Architecture (2024) Vol. 31, Iss. 9, pp. 12-23
Closed Access
Investigation, Evaluation, and Dynamic Monitoring of Traditional Chinese Village Buildings Based on Unmanned Aerial Vehicle Images and Deep Learning Methods
Xuan Li, Yongfeng Yang, Chuanwei Sun, et al.
Sustainability (2024) Vol. 16, Iss. 20, pp. 8954-8954
Open Access
Large-scale Urban Facility Location Selection with Knowledge-informed Reinforcement Learning
Hongyuan Su, Yu Zheng, Jingtao Ding, et al.
(2024), pp. 553-556
Open Access
Application and Prospect of Artificial Intelligence Technology in Low-Carbon Cities—From the Perspective of Urban Planning Content and Process
Fengying Yan, Xinran Qi
Land (2024) Vol. 13, Iss. 11, pp. 1834-1834
Open Access
Urban travel carbon emission mitigation approach using deep reinforcement learning
Jie Shen, Feng Zheng, Yuanli Ma, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Deep reinforcement learning for spatial resource allocation: A case study of school districting
Di Zhang, Senlin Mu, Joseph Mango, et al.
Environment and Planning B Urban Analytics and City Science (2024)
Closed Access
A Survey of Machine Learning for Urban Decision Making: Applications in Planning, Transportation, and Healthcare
Yu Zheng, Qianyue Hao, Jingwei Wang, et al.
ACM Computing Surveys (2024)
Open Access
M3 LUC: Multi-modal Model for Urban Land-Use Classification
S Y Li, Xin Zhang, Yu-Ming Lin, et al.
(2024), pp. 270-281
Closed Access
Design of robust networks via reinforcement learning prompt the emergence of multilayer backbones
Daqing Li, Bingyu Zhu, Tianchen Zhu, et al.
Research Square (Research Square) (2024)
Open Access
AI improves the design of urban communities
Paolo Santi
Nature Computational Science (2023) Vol. 3, Iss. 9, pp. 735-736
Closed Access | Times Cited: 1
Learning the complexity of urban mobility with deep generative collaboration network
Yong Li, Yuan Yuan, Jingtao Ding, et al.
Research Square (Research Square) (2023)
Open Access
Application-Oriented Assessment of Grid-Connected Pv-Battery System with Deep Reinforcement Learning in Buildings Considering Electricity Price Dynamics
Qi Chen, Zhonghong Kuang, Xiaohua Liu, et al.
(2023)
Closed Access
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