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:

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

Showing 1-25 of 166 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

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

An ecosystem service perspective on urban nature, physical activity, and health
Roy P. Remme, Howard Frumkin, Anne D. Guerry, et al.
Proceedings of the National Academy of Sciences (2021) Vol. 118, Iss. 22
Open Access | Times Cited: 183

Escaping to nature during a pandemic: A natural experiment in Asian cities during the COVID-19 pandemic with big social media data
Yi Lü, Jianting Zhao, Xueying Wu, et al.
The Science of The Total Environment (2021) Vol. 777, pp. 146092-146092
Open Access | Times Cited: 128

Subjective or objective measures of street environment, which are more effective in explaining housing prices?
Waishan Qiu, Ziye Zhang, Xun Liu, et al.
Landscape and Urban Planning (2022) Vol. 221, pp. 104358-104358
Closed Access | Times Cited: 118

Measuring residents’ perceptions of city streets to inform better street planning through deep learning and space syntax
Lei Wang, Xin Han, Jie He, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2022) Vol. 190, pp. 215-230
Open Access | Times Cited: 118

Ranking the importance of demographic, socioeconomic, and underlying health factors on US COVID-19 deaths: A geographical random forest approach
George Grekousis, Zhixin Feng, Ioannis Marakakis, et al.
Health & Place (2022) Vol. 74, pp. 102744-102744
Open Access | Times Cited: 96

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

Using street view images to examine the association between human perceptions of locale and urban vitality in Shenzhen, China
Chao Wu, Yu Ye, Fanzong Gao, et al.
Sustainable Cities and Society (2022) Vol. 88, pp. 104291-104291
Closed Access | Times Cited: 70

Subjective and objective measures of streetscape perceptions: Relationships with property value in Shanghai
Waishan Qiu, Wenjing Li, Xun Liu, et al.
Cities (2022) Vol. 132, pp. 104037-104037
Open Access | Times Cited: 69

Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review
Siqin Wang, Xiao Huang, Pengyuan Liu, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 128, pp. 103734-103734
Open Access | Times Cited: 30

Understanding urban perception with visual data: A systematic review
Koichi Ito, Yuhao Kang, Ye Zhang, et al.
Cities (2024) Vol. 152, pp. 105169-105169
Closed Access | Times Cited: 27

Greenspace equity across variation in residential densities: Insights for urban sustainability
Junjie Wu, Lingzhi Wang, Bryan C. Pijanowski, et al.
Habitat International (2025) Vol. 157, pp. 103310-103310
Closed Access | Times Cited: 1

Relationship between eye-level greenness and cycling frequency around metro stations in Shenzhen, China: A big data approach
Ruoyu Wang, Yi Lü, Xueying Wu, et al.
Sustainable Cities and Society (2020) Vol. 59, pp. 102201-102201
Closed Access | Times Cited: 97

Understanding noise exposure, noise annoyance, and psychological stress: Incorporating individual mobility and the temporality of the exposure-effect relationship
Yinhua Tao, Yanwei Chai, Lirong Kou, et al.
Applied Geography (2020) Vol. 125, pp. 102283-102283
Closed Access | Times Cited: 77

Spatial Analysis Methods and Practice
George Grekousis
(2020)
Closed Access | Times Cited: 77

Urban neighbourhood environment assessment based on street view image processing: A review of research trends
Nan He, Guanghao Li
Environmental Challenges (2021) Vol. 4, pp. 100090-100090
Open Access | Times Cited: 72

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

Does visual contact with green space impact housing pricesʔ An integrated approach of machine learning and hedonic modeling based on the perception of green space
Chao Wu, Yihao Du, Sheng Li, et al.
Land Use Policy (2022) Vol. 115, pp. 106048-106048
Closed Access | Times Cited: 65

Multi-modal fusion of satellite and street-view images for urban village classification based on a dual-branch deep neural network
Boan Chen, Quanlong Feng, Bowen Niu, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 109, pp. 102794-102794
Open Access | Times Cited: 59

Using Google Street View imagery to capture micro built environment characteristics in drug places, compared with street robbery
Hanlin Zhou, Lin Liu, Minxuan Lan, et al.
Computers Environment and Urban Systems (2021) Vol. 88, pp. 101631-101631
Closed Access | Times Cited: 58

Measuring Perceived Psychological Stress in Urban Built Environments Using Google Street View and Deep Learning
Xin Han, Lei Wang, Seong Hyeok Seo, et al.
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 53

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