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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:

Interpretable machine learning learns complex interactions of urban features to understand socio‐economic inequality
Chao Fan, Jeffrey Xu, Barane Yoga Natarajan, et al.
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 38, Iss. 14, pp. 2013-2029
Open Access | Times Cited: 22

Showing 22 citing articles:

Urban form and structure explain variability in spatial inequality of property flood risk among US counties
Junwei Ma, Ali Mostafavi
Communications Earth & Environment (2024) Vol. 5, Iss. 1
Open Access | Times Cited: 10
Quantifying spatial inequities in traffic injury rates through the integration of urban road network measures and social vulnerability
Pengfei Cui, Mohamed Abdel‐Aty, Xiaobao Yang, et al.
Accident Analysis & Prevention (2025) Vol. 211, pp. 107916-107916
Closed Access
A universal geography neural network for mobility flow prediction in planning scenarios
Jifu Guo, Shengguang Bai, Xun� Li, et al.
Computer-Aided Civil and Infrastructure Engineering (2025)
Open Access
Application of Nighttime Light Data Simulation Based on Multi-Indicator System and Machine Learning Model in Predicting Potentially Suitable Economic Development Areas: A Case Study of the Turpan–Hami Region
Guangpeng Zhang, Li Zhang, Yiyang Chen, et al.
Remote Sensing (2025) Vol. 17, Iss. 2, pp. 240-240
Open Access
Large-scale building-level electricity consumption estimation for multiple building types: A Case study from Dongguan, China
Geng Liu, Jinpei Ou, Yuebing Zheng, et al.
Sustainable Cities and Society (2025), pp. 106224-106224
Closed Access
Unsupervised Graph Deep Learning Reveals Emergent Flood Risk Profile of Urban Areas
Ali Mostafavi, Kai Yin
Research Square (Research Square) (2024)
Open Access | Times Cited: 3
Analysis of the relationship between metro ridership and built environment: A machine learning method considering combinational features
Linchao Li, Liangjian Zhong, Bin Ran, et al.
Tunnelling and Underground Space Technology (2023) Vol. 144, pp. 105564-105564
Closed Access | Times Cited: 8
Urban human needs: conceptual framework to promoting urban city fulfills human desires
Shaimaa S. Alsayed
Frontiers in Sustainable Cities (2024) Vol. 6
Open Access | Times Cited: 2
Unsupervised Graph Deep Learning Reveals Emergent Flood Risk Profile of Urban Areas
Kai Yin, Ali Mostafavi
SSRN Electronic Journal (2023)
Open Access | Times Cited: 6
Deep Learning-driven Community Resilience Rating based on Intertwined Socio-Technical Systems Features
Ali Mostafavi, Kai Yin
Research Square (Research Square) (2023)
Open Access | Times Cited: 5
Building trust for traffic flow forecasting components in intelligent transportation systems via interpretable ensemble learning
Jishun Ou, Jing Li, Chen Wang, et al.
Digital Transportation and Safety (2024) Vol. 3, Iss. 3, pp. 126-143
Closed Access | Times Cited: 1
Ml4ej: Decoding the Role of Urban Features in Shaping Environmental Injustice Using Interpretable Machine Learning
Zhewei Liu, Yu-Hsuan Ho, Cheng-Chun Lee, et al.
(2023)
Open Access | Times Cited: 2
A Digital Twin Framework to Simulate Urban Microclimates
Tong Liu, Chao Fan
(2023), pp. 617-622
Closed Access | Times Cited: 2
Enhancing economic competitiveness analysis through machine learning: Exploring complex urban features
Xiaofeng Xu, Zhaoyuan Chen, Shixiang Chen
PLoS ONE (2023) Vol. 18, Iss. 11, pp. e0293303-e0293303
Open Access | Times Cited: 2
Non-business services performance forecasting for small urban areas using a spatiotemporal deep learning model
Faizeh Hatami, A. Poor, Jean‐Claude Thill
Cities (2024) Vol. 152, pp. 105141-105141
Closed Access
Automated signal‐based evaluation of dynamic cone resistance via machine learning for subsurface characterization
Samuel Olamide Aregbesola, Yong‐Hoon Byun
Computer-Aided Civil and Infrastructure Engineering (2024) Vol. 39, Iss. 16, pp. 2541-2552
Open Access
Gradient boosting decision trees to study laboratory and field performance in pavement management
Mohammadjavad Berangi, Bernardo Mota Lontra, Kumar Anupam, et al.
Computer-Aided Civil and Infrastructure Engineering (2024)
Open Access
Beyond Quantities: Machine Learning-based Characterization of Inequality in Infrastructure Quality Provision in Cities
Bo Li, Ali Mostafavi
Research Square (Research Square) (2024)
Open Access
An Interpretable Machine Learning Method to Inform Urban Adaptation to Heat Waves
Tong Liu, Chao Fan
Computing in Civil Engineering (2024), pp. 161-168
Closed Access
Data-driven anatomy of hierarchical migration patterns in the United States
Xurui Yan, Haoying Han, Xing Su, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 130, pp. 103825-103825
Open Access
Urban community governance and machine learning: practice and prospects for intelligent decision making
Yuxin Zhang
Applied Mathematics and Nonlinear Sciences (2024) Vol. 9, Iss. 1
Open Access
Quantifying Complex Urban Spillover Effects via Physics-based Deep Learning
Tong Liu, Chao Fan, Takahiro Yabe
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
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