OpenAlex Citation Counts

OpenAlex Citations Logo

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 and deep learning analyses of urban recovery from the impacts of COVID-19
Shuang Ma, Shuangjin Li, Junyi Zhang
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 13

Showing 13 citing articles:

Assessing differences in work intensity resilience to pandemic outbreaks using large-scale mobile phone data
Xiaorui Yan, Xiaorui Yan, Xi Gong, et al.
International Journal of Applied Earth Observation and Geoinformation (2025) Vol. 136, pp. 104343-104343
Open Access

Rising infrastructure inequalities accompany urbanization and economic development
Bhartendu Pandey, Christa Brelsford, Karen C. Seto
Nature Communications (2025) Vol. 16, Iss. 1
Open Access

Evaluating the social-economic recovery impacts of the built environment post- pandemic: A case study of COVID-19
Shuang Ma, Xuanyu Zhou, Wei Cai, et al.
Transactions in Urban Data Science and Technology (2025)
Closed Access

Light in the darkness: Urban nightlife, analyzing the impact and recovery of COVID-19 using mobile phone data
Enrique Santiago-Iglesias, Gustavo Romanillos, Wenzhe Sun, et al.
Cities (2024) Vol. 153, pp. 105276-105276
Open Access | Times Cited: 4

Exploring post-COVID-19 health effects and features with advanced machine learning techniques
Muhammad Nazrul Islam, Md Shofiqul Islam, Nahid Hasan Shourav, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3

Estimating and modeling spontaneous mobility changes during the COVID-19 pandemic without stay-at-home orders
Baining Zhao, Xu‐Zhe Wang, Tianyu Zhang, et al.
Humanities and Social Sciences Communications (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 3

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

Mapping the Pulse: Heterogeneous Impacts of Human-Scale Street Design on Urban Vibrancy in Four Chinese Metropolises
Sanwei He, Huiyuan Zhang, Shan Yu, et al.
The Professional Geographer (2024) Vol. 76, Iss. 5, pp. 620-638
Closed Access

Enhancing epidemic modeling: exploring heavy-tailed dynamics with the generalized tempered stable distribution
Yassine Sabbar, Aeshah A. Raezah, M. Moumni
AIMS Mathematics (2024) Vol. 9, Iss. 10, pp. 29496-29528
Open Access

Modeling Population Mobility Flows: A Hybrid Approach Integrating a Gravity Model and Machine Learning
Jingjing Liu, Lei Xu, Le Ma, et al.
ISPRS International Journal of Geo-Information (2024) Vol. 13, Iss. 11, pp. 379-379
Open Access

SPATIO-TEMPORAL ANALYSIS OF URBAN ECONOMIC RESILIENCE DURING COVID-19 WITH MULTILAYER COMPLEX NETWORKS
Zhihang Liu, Jing Wu, Hao Li, et al.
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences (2023) Vol. XLVIII-1/W2-2023, pp. 361-368
Open Access

Page 1

Scroll to top