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:

Effect of urban morphology on air pollution distribution in high-density urban blocks based on mobile monitoring and machine learning
Chenyu Huang, Tingting Hu, Yusen Duan, et al.
Building and Environment (2022) Vol. 219, pp. 109173-109173
Closed Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

A review of recent developments in the impact of environmental measures on urban heat island
Prashanthini Rajagopal, Radhakrishnan Shanthi Priya, Ramalingam Senthil
Sustainable Cities and Society (2022) Vol. 88, pp. 104279-104279
Closed Access | Times Cited: 79

Multi-scale solar radiation and photovoltaic power forecasting with machine learning algorithms in urban environment: A state-of-the-art review
Jia Tian, Ryozo Ooka, Doyun Lee
Journal of Cleaner Production (2023) Vol. 426, pp. 139040-139040
Closed Access | Times Cited: 44

The charm of green finance: Can green finance reduce corporate carbon emissions?
Xin Zhao, Ramzi Benkraiem, Mohammad Zoynul Abedin, et al.
Energy Economics (2024) Vol. 134, pp. 107574-107574
Open Access | Times Cited: 28

Disparities between residential and commercial zones in air quality revealed by location-based services
Qingrui Jiang, Yan Su, Renlu Qiao, et al.
Building and Environment (2025) Vol. 270, pp. 112543-112543
Closed Access | Times Cited: 1

Impacts of building configurations on urban stormwater management at a block scale using XGBoost
Shiqi Zhou, Zhiyu Liu, Mo Wang, et al.
Sustainable Cities and Society (2022) Vol. 87, pp. 104235-104235
Closed Access | Times Cited: 65

Understanding the relationship between urban morphology and solar potential in mixed-use neighborhoods using machine learning algorithms
Haifeng Lan, Zhonghua Gou, Huiying Hou
Sustainable Cities and Society (2022) Vol. 87, pp. 104225-104225
Closed Access | Times Cited: 44

Assessing urban greenery by harvesting street view data: A review
Yanzhi Lu, Emma Ferranti, Lee Chapman, et al.
Urban forestry & urban greening (2023) Vol. 83, pp. 127917-127917
Open Access | Times Cited: 39

Supervised Machine Learning Approaches for Predicting Key Pollutants and for the Sustainable Enhancement of Urban Air Quality: A Systematic Review
Ismail Essamlali, Hasna Nhaila, Mohamed El Khaïli
Sustainability (2024) Vol. 16, Iss. 3, pp. 976-976
Open Access | Times Cited: 10

Which street is hotter? Street morphology may hold clues -thermal environment mapping based on street view imagery
Yanjun Hu, Fengtao Qian, Hai Yan, et al.
Building and Environment (2024) Vol. 262, pp. 111838-111838
Closed Access | Times Cited: 10

Associations between Google Street View-derived urban greenspace metrics and air pollution measured using a distributed sensor network
Anna C. O’Regan, Rósín Byrne, Stig Hellebust, et al.
Sustainable Cities and Society (2022) Vol. 87, pp. 104221-104221
Open Access | Times Cited: 32

Effects of urban heat island mitigation strategies in an urban square: A numerical modelling and experimental investigation
Gabriele Battista, Emanuele de Lieto Vollaro, Paweł Ocłoń, et al.
Energy and Buildings (2023) Vol. 282, pp. 112809-112809
Open Access | Times Cited: 20

CFD- and BPNN- based investigation and prediction of air pollutant dispersion in urban environment
Xisheng Lin, Yunfei Fu, Daniel Ziyue Peng, et al.
Sustainable Cities and Society (2023) Vol. 100, pp. 105029-105029
Closed Access | Times Cited: 17

Clarity or confusion: A review of computer vision street attributes in urban studies and planning
Liu Liu, Andres Sevtsuk
Cities (2024) Vol. 150, pp. 105022-105022
Closed Access | Times Cited: 7

A review of surrogate-assisted design optimization for improving urban wind environment
Yihan Wu, Steven Jige Quan
Building and Environment (2024) Vol. 253, pp. 111157-111157
Closed Access | Times Cited: 6

Mediating effect of air pollution on urban morphology and air temperature
Jiayu Fan, Xuegang Chen, Siqi Xie, et al.
Atmospheric Pollution Research (2025), pp. 102426-102426
Closed Access

Pedestrian level wind flow analysis: a mathematical and statistical-oriented approach
M. Zahid Iqbal Qureshi, Abdul Waheed Badar
Theoretical and Applied Climatology (2025) Vol. 156, Iss. 3
Closed Access

Research on the Impact of Urban Built Environments on PM2.5 Pollution Based on Machine Learning Methods
Xiaoxia Wang, Zhihai Fan, Yue X, et al.
Atmospheric Pollution Research (2025), pp. 102503-102503
Closed Access

A prediction of urban boundary layer using Recurrent Neural Network and reduced order modeling
Yedam Lee, Sang Lee
Building and Environment (2025), pp. 112804-112804
Closed Access

Assessing the impact of urban form and urbanization process on tropospheric nitrogen dioxide pollution in the Yangtze River Delta, China
Yuanyun Gao, Shuntian Wang, Chengxin Zhang, et al.
Environmental Pollution (2023) Vol. 336, pp. 122436-122436
Closed Access | Times Cited: 13

Nonlinear effects of urban multidimensional characteristics on air pollution heterogeneity in China's urban agglomerations
Yikai Yang, Luoman Ouyang, Zhìqiáng Wú, et al.
Journal of Cleaner Production (2025), pp. 144813-144813
Closed Access

Phy-APMR: A physics-informed air pollution map reconstruction approach with mobile crowd-sensing for fine-grained measurement
Rongye Shi, Ji Luo, Nan Zhou, et al.
Building and Environment (2025), pp. 112634-112634
Closed Access

Optimizing block morphology for reducing traffic pollutant concentration in adjacent external spaces of street canyons: A machine learning approach
Yunni Wu, Chen Hong
Building and Environment (2023) Vol. 242, pp. 110587-110587
Closed Access | Times Cited: 8

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