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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:

A human-machine adversarial scoring framework for urban perception assessment using street-view images
Yao Yao, Zhaotang Liang, Zehao Yuan, et al.
International Journal of Geographical Information Science (2019) Vol. 33, Iss. 12, pp. 2363-2384
Closed Access | Times Cited: 282

Showing 1-25 of 282 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: 429
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: 201
Algorithmic urban planning for smart and sustainable development: Systematic review of the literature
Tim Heinrich Son, Zack Weedon, Tan Yiğitcanlar, et al.
Sustainable Cities and Society (2023) Vol. 94, pp. 104562-104562
Open Access | Times Cited: 174
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: 167
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: 120
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
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: 83
Mapping human perception of urban landscape from street-view images: A deep-learning approach
Jingxian Wei, Wenze Yue, Mengmeng Li, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 112, pp. 102886-102886
Open Access | Times Cited: 72
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
Revealing spatio-temporal evolution of urban visual environments with street view imagery
Xiucheng Liang, Tianhong Zhao, Filip Biljecki
Landscape and Urban Planning (2023) Vol. 237, pp. 104802-104802
Closed Access | Times Cited: 64
Extracting human perceptions from street view images for better assessing urban renewal potential
Jialyu He, Jinbao Zhang, Yao Yao, et al.
Cities (2023) Vol. 134, pp. 104189-104189
Closed Access | Times Cited: 47
Assessing differences in safety perceptions using GeoAI and survey across neighbourhoods in Stockholm, Sweden
Yuhao Kang, Jonatan Abraham, Vânia Ceccato, et al.
Landscape and Urban Planning (2023) Vol. 236, pp. 104768-104768
Closed Access | Times Cited: 42
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: 31
A graph-based neural network approach to integrate multi-source data for urban building function classification
Bo Kong, Tinghua Ai, Xinyan Zou, et al.
Computers Environment and Urban Systems (2024) Vol. 110, pp. 102094-102094
Closed Access | Times Cited: 20
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: 88
The distribution of greenspace quantity and quality and their association with neighbourhood socioeconomic conditions in Guangzhou, China: A new approach using deep learning method and street view images
Ruoyu Wang, Zhiqiang Feng, Jamie Pearce, et al.
Sustainable Cities and Society (2020) Vol. 66, pp. 102664-102664
Open Access | Times Cited: 87
DFCNN-Based Semantic Recognition of Urban Functional Zones by Integrating Remote Sensing Data and POI Data
Hanqing Bao, Dongping Ming, Ya Guo, et al.
Remote Sensing (2020) Vol. 12, Iss. 7, pp. 1088-1088
Open Access | Times Cited: 79
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: 68
Human settlement value assessment from a place perspective: Considering human dynamics and perceptions in house price modeling
Yuhao Kang, Fan Zhang, Song Gao, et al.
Cities (2021) Vol. 118, pp. 103333-103333
Closed Access | Times Cited: 67
Measuring heterogeneous perception of urban space with massive data and machine learning: An application to safety
Tomas Eduardo Ramirez, Ricardo Hurtubia, Hans Löbel, et al.
Landscape and Urban Planning (2021) Vol. 208, pp. 104002-104002
Closed Access | Times Cited: 65
Places for play: Understanding human perception of playability in cities using street view images and deep learning
Jacob Kruse, Yuhao Kang, Yuning Liu, et al.
Computers Environment and Urban Systems (2021) Vol. 90, pp. 101693-101693
Closed Access | Times Cited: 59
Associations between Street-View Perceptions and Housing Prices: Subjective vs. Objective Measures Using Computer Vision and Machine Learning Techniques
Xiang Xu, Waishan Qiu, Wenjing Li, et al.
Remote Sensing (2022) Vol. 14, Iss. 4, pp. 891-891
Open Access | Times Cited: 57
Sensing urban soundscapes from street view imagery
Tianhong Zhao, Xiucheng Liang, Wei Tu, et al.
Computers Environment and Urban Systems (2022) Vol. 99, pp. 101915-101915
Closed Access | Times Cited: 54
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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