Open Access Helper

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:

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: 74

Showing 1-25 of 74 citing articles:

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: 122
Generative urban design: A systematic review on problem formulation, design generation, and decision-making
Feifeng Jiang, Jun Ma, Chris Webster, et al.
Progress in Planning (2023) Vol. 180, pp. 100795-100795
Closed Access | Times Cited: 58
Building layout generation using site-embedded GAN model
Feifeng Jiang, Jun Ma, Chris Webster, et al.
Automation in Construction (2023) Vol. 151, pp. 104888-104888
Closed Access | Times Cited: 56
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: 33
Predicting perceptions of the built environment using GIS, satellite and street view image approaches
Andrew Larkin, Xiang Gu, Lizhong Chen, et al.
Landscape and Urban Planning (2021) Vol. 216, pp. 104257-104257
Open Access | Times Cited: 76
3D building reconstruction from single street view images using deep learning
Hui En Pang, Filip Biljecki
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 112, pp. 102859-102859
Open Access | Times Cited: 67
Measuring visual walkability perception using panoramic street view images, virtual reality, and deep learning
Yunqin Li, Nobuyoshi Yabuki, Tomohiro Fukuda
Sustainable Cities and Society (2022) Vol. 86, pp. 104140-104140
Closed Access | Times Cited: 59
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: 55
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: 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: 40
An interpretable machine learning framework for measuring urban perceptions from panoramic street view images
Yunzhe Liu, Meixu Chen, Meihui Wang, et al.
iScience (2023) Vol. 26, Iss. 3, pp. 106132-106132
Open Access | Times Cited: 25
Remote sensing of diverse urban environments: From the single city to multiple cities
Gang Chen, Yuyu Zhou, James A. Voogt, et al.
Remote Sensing of Environment (2024) Vol. 305, pp. 114108-114108
Closed Access | Times Cited: 15
From intangible to tangible: The role of big data and machine learning in walkability studies
Jun Yang, Pia Fricker, Alexander Jung
Computers Environment and Urban Systems (2024) Vol. 109, pp. 102087-102087
Open Access | Times Cited: 13
Integrating visual factors in crash rate analysis at Intersections: An AutoML and SHAP approach towards cycling safety
Huiyuan Xue, Peizhuo Guo, Yiyan Li, et al.
Accident Analysis & Prevention (2024) Vol. 200, pp. 107544-107544
Closed Access | Times Cited: 10
Coverage and bias of street view imagery in mapping the urban environment
Zicheng Fan, Chen‐Chieh Feng, Filip Biljecki
Computers Environment and Urban Systems (2025) Vol. 117, pp. 102253-102253
Closed Access | Times Cited: 1
A Visual Preference Analysis of Building Façades in Street View Images: A Case Study of Nanshan District, Shenzhen
C. Lee, Yuxiao Wang, Chao Tang, et al.
Buildings (2025) Vol. 15, Iss. 4, pp. 611-611
Open Access | Times Cited: 1
Using street view imagery and localized crowdsourcing survey to model perceived safety of the visual built environment by gender
Hanlin Zhou, Jue Wang, Kathi Wilson, et al.
International Journal of Applied Earth Observation and Geoinformation (2025) Vol. 139, pp. 104421-104421
Closed Access | Times Cited: 1
Modelling people’s perceived scene complexity of real-world environments using street-view panoramas and open geodata
Fangli Guan, Zhixiang Fang, Lubin Wang, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2022) Vol. 186, pp. 315-331
Closed Access | Times Cited: 38
A review on street view observations in support of the sustainable development goals
Chun Yin, Ningyezi Peng, Yuchen Li, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 117, pp. 103205-103205
Open Access | Times Cited: 18
Converting street view images to land cover maps for metric mapping: A case study on sidewalk network extraction for the wheelchair users
Huan Ning, Zhenlong Li, Cuizhen Wang, et al.
Computers Environment and Urban Systems (2022) Vol. 95, pp. 101808-101808
Closed Access | Times Cited: 27
Measuring the Correlation between Human Activity Density and Streetscape Perceptions: An Analysis Based on Baidu Street View Images in Zhengzhou, China
Yilei Tao, Ying Wang, Xinyu Wang, et al.
Land (2022) Vol. 11, Iss. 3, pp. 400-400
Open Access | Times Cited: 23
Using google street view panoramas to investigate the influence of urban coastal street environment on visual walkability
Gonghu Huang, Yiqing Yu, Mei Lyu, et al.
Environmental Research Communications (2023) Vol. 5, Iss. 6, pp. 065017-065017
Open Access | Times Cited: 16
An integrated deep learning approach for assessing the visual qualities of built environments utilizing street view images
Xukai Zhao, Yuxing Lu, Guangsi Lin
Engineering Applications of Artificial Intelligence (2023) Vol. 130, pp. 107805-107805
Closed Access | Times Cited: 14
Nighttime Street View Imagery: A new perspective for sensing urban lighting landscape
Zicheng Fan, Filip Biljecki
Sustainable Cities and Society (2024) Vol. 116, pp. 105862-105862
Closed Access | Times Cited: 5
Measuring the perceptual features of coastal streets: a case study in Qingdao, China
Mei Lyu, Yumeng Meng, Weijun Gao, et al.
Environmental Research Communications (2022) Vol. 4, Iss. 11, pp. 115002-115002
Open Access | Times Cited: 21
Page 1 - Next Page

Scroll to top