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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:

The relationship between visual enclosure for neighbourhood street walkability and elders’ mental health in China: Using street view images
Ruoyu Wang, Yi Lü, Jinbao Zhang, et al.
Journal of Transport & Health (2019) Vol. 13, pp. 90-102
Closed Access | Times Cited: 147

Showing 1-25 of 147 citing articles:

Street view imagery in urban analytics and GIS: A review
Filip Biljecki, Koichi Ito
Landscape and Urban Planning (2021) Vol. 215, pp. 104217-104217
Open Access | Times Cited: 425
Analyzing the effects of Green View Index of neighborhood streets on walking time using Google Street View and deep learning
Donghwan Ki, Sugie Lee
Landscape and Urban Planning (2020) Vol. 205, pp. 103920-103920
Closed Access | Times Cited: 253
A review of urban physical environment sensing using street view imagery in public health studies
Yuhao Kang, Fan Zhang, Song Gao, et al.
Annals of GIS (2020) Vol. 26, Iss. 3, pp. 261-275
Open Access | Times Cited: 197
Measuring human perceptions of streetscapes to better inform urban renewal: A perspective of scene semantic parsing
Xiangyuan Ma, Chenyan Ma, Chao Wu, et al.
Cities (2021) Vol. 110, pp. 103086-103086
Closed Access | Times Cited: 194
Perceptions of built environment and health outcomes for older Chinese in Beijing: A big data approach with street view images and deep learning technique
Ruoyu Wang, Ye Liu, Yi Lü, et al.
Computers Environment and Urban Systems (2019) Vol. 78, pp. 101386-101386
Open Access | Times Cited: 166
Natural outdoor environment, neighbourhood social cohesion and mental health: Using multilevel structural equation modelling, streetscape and remote-sensing metrics
Yuqi Liu, Ruoyu Wang, Yi Lü, et al.
Urban forestry & urban greening (2020) Vol. 48, pp. 126576-126576
Open Access | Times Cited: 138
How are Neighborhood and Street-Level Walkability Factors Associated with Walking Behaviors? A Big Data Approach Using Street View Images
Bon Woo Koo, Subhrajit Guhathakurta, Nisha Botchwey
Environment and Behavior (2021) Vol. 54, Iss. 1, pp. 211-241
Open Access | Times Cited: 111
Objective and perceived built environment, sense of community, and mental wellbeing in older adults in Hong Kong: A multilevel structural equation study
Yingqi Guo, Yuqi Liu, Shiyu Lu, et al.
Landscape and Urban Planning (2021) Vol. 209, pp. 104058-104058
Closed Access | Times Cited: 106
Assessing impacts of objective features and subjective perceptions of street environment on running amount: A case study of Boston
Lin Dong, Hongchao Jiang, Wenjing Li, et al.
Landscape and Urban Planning (2023) Vol. 235, pp. 104756-104756
Closed Access | Times Cited: 82
Exploring nonlinear effects of built environment on jogging behavior using random forest
Yong Liu, Yingpeng Li, Wei Yang, et al.
Applied Geography (2023) Vol. 156, pp. 102990-102990
Closed Access | Times Cited: 49
Urban Visual Intelligence: Studying Cities with Artificial Intelligence and Street-Level Imagery
Fan Zhang, Arianna Salazar Miranda, Fábio Duarte, et al.
Annals of the American Association of Geographers (2024) Vol. 114, Iss. 5, pp. 876-897
Open Access | Times Cited: 27
Unraveling nonlinear and interaction effects of multilevel built environment features on outdoor jogging with explainable machine learning
Wei Yang, Jun Fei, Yingpeng Li, et al.
Cities (2024) Vol. 147, pp. 104813-104813
Closed Access | Times Cited: 21
Residential greenness, air pollution and psychological well-being among urban residents in Guangzhou, China
Ruoyu Wang, Bo‐Yi Yang, Yao Yao, et al.
The Science of The Total Environment (2019) Vol. 711, pp. 134843-134843
Open Access | Times Cited: 134
Towards a cycling-friendly city: An updated review of the associations between built environment and cycling behaviors (2007–2017)
Yiyang Yang, Xueying Wu, Peiling Zhou, et al.
Journal of Transport & Health (2019) Vol. 14, pp. 100613-100613
Open Access | Times Cited: 119
Using street view data and machine learning to assess how perception of neighborhood safety influences urban residents’ mental health
Ruoyu Wang, Yuan Yuan, Ye Liu, et al.
Health & Place (2019) Vol. 59, pp. 102186-102186
Closed Access | Times Cited: 112
Analyzing the correlation between visual space and residents' psychology in Wuhan, China using street-view images and deep-learning technique
Liangyang Dai, Chenglong Zheng, Zekai Dong, et al.
City and Environment Interactions (2021) Vol. 11, pp. 100069-100069
Open Access | Times Cited: 86
Estimating pedestrian volume using Street View images: A large-scale validation test
Long Chen, Yi Lü, Qiang Sheng, et al.
Computers Environment and Urban Systems (2020) Vol. 81, pp. 101481-101481
Closed Access | Times Cited: 81
Disentangling residential self-selection from impacts of built environment characteristics on travel behaviors for older adults
Peng Zang, Yi Lü, Jing Ma, et al.
Social Science & Medicine (2019) Vol. 238, pp. 112515-112515
Open Access | Times Cited: 75
Measuring the Built Environment with Google Street View and Machine Learning: Consequences for Crime on Street Segments
John R. Hipp, Sugie Lee, Donghwan Ki, et al.
Journal of Quantitative Criminology (2021) Vol. 38, Iss. 3, pp. 537-565
Closed Access | Times Cited: 67
Discovering the homogeneous geographic domain of human perceptions from street view images
Yao Yao, Jiale Wang, Ye Hong, et al.
Landscape and Urban Planning (2021) Vol. 212, pp. 104125-104125
Closed Access | Times Cited: 67
Predicting the effect of street environment on residents' mood states in large urban areas using machine learning and street view images
Chongxian Chen, Haiwei Li, Weijing Luo, et al.
The Science of The Total Environment (2021) Vol. 816, pp. 151605-151605
Open Access | Times Cited: 59
A comprehensive framework for evaluating the quality of street view imagery
Yujun Hou, Filip Biljecki
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 115, pp. 103094-103094
Closed Access | Times Cited: 56
Integrating GIS, deep learning, and environmental sensors for multicriteria evaluation of urban street walkability
Yunqin Li, Nobuyoshi Yabuki, Tomohiro Fukuda
Landscape and Urban Planning (2022) Vol. 230, pp. 104603-104603
Closed Access | Times Cited: 50
Investigating pedestrian-level greenery in urban forms in a high-density city for urban planning
Junyi Hua, Meng Cai, Yuan Shi, et al.
Sustainable Cities and Society (2022) Vol. 80, pp. 103755-103755
Closed Access | Times Cited: 46
Street View Imagery (SVI) in the Built Environment: A Theoretical and Systematic Review
Yongchang Li, Peng Li, Chengwei Wu, et al.
Buildings (2022) Vol. 12, Iss. 8, pp. 1167-1167
Open Access | Times Cited: 43
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