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:

Elaborating non-linear associations and synergies of subway access and land uses with urban vitality in Shenzhen
Jiawen Yang, Xinyu Cao, Yufei Zhou
Transportation Research Part A Policy and Practice (2020) Vol. 144, pp. 74-88
Closed Access | Times Cited: 125

Showing 1-25 of 125 citing articles:

Nonlinear and synergistic effects of TOD on urban vibrancy: Applying local explanations for gradient boosting decision tree
Longzhu Xiao, Siuming Lo, Jixiang Liu, et al.
Sustainable Cities and Society (2021) Vol. 72, pp. 103063-103063
Closed Access | Times Cited: 139

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: 73

Exploring the spatiotemporal patterns and correlates of urban vitality: Temporal and spatial heterogeneity
Yang Chen, Bingjie Yu, Bo Shu, et al.
Sustainable Cities and Society (2023) Vol. 91, pp. 104440-104440
Closed Access | Times Cited: 72

Classification of urban morphology with deep learning: Application on urban vitality
Wangyang Chen, Abraham Noah Wu, Filip Biljecki
Computers Environment and Urban Systems (2021) Vol. 90, pp. 101706-101706
Open Access | Times Cited: 98

Non-linear associations between zonal built environment attributes and transit commuting mode choice accounting for spatial heterogeneity
Chuan Ding, Xinyu Cao, Bin Yu, et al.
Transportation Research Part A Policy and Practice (2021) Vol. 148, pp. 22-35
Closed Access | Times Cited: 70

Investigating the spatiotemporal pattern between the built environment and urban vibrancy using big data in Shenzhen, China
Long Chen, Lingyu Zhao, Yang Xiao, et al.
Computers Environment and Urban Systems (2022) Vol. 95, pp. 101827-101827
Closed Access | Times Cited: 61

The impacts of urban vitality and urban density on innovation: Evidence from China's Greater Bay Area
Ziyu Chen, Binzizi Dong, Qing Pei, et al.
Habitat International (2021) Vol. 119, pp. 102490-102490
Closed Access | Times Cited: 59

Rethinking urban density, vitality and healthy environment in the post-pandemic city: The case of Istanbul
Muhammed Ziya Paköz, Merve Işık
Cities (2022) Vol. 124, pp. 103598-103598
Open Access | Times Cited: 53

Deciphering the influence of TOD on metro ridership: An integrated approach of extended node-place model and interpretable machine learning with planning implications
Shiliang Su, Zhuolun Wang, Bozhao Li, et al.
Journal of Transport Geography (2022) Vol. 104, pp. 103455-103455
Closed Access | Times Cited: 39

Assess the non-linear relationship between built environment and active travel around light-rail transit stations
Weiye Xiao, Yehua Dennis Wei
Applied Geography (2023) Vol. 151, pp. 102862-102862
Closed Access | Times Cited: 33

Examining nonlinearity in population inflow estimation using big data: An empirical comparison of explainable machine learning models
Songhua Hu, Chenfeng Xiong, Peng Chen, et al.
Transportation Research Part A Policy and Practice (2023) Vol. 174, pp. 103743-103743
Closed Access | Times Cited: 27

Exploring nonlinear and collective influences of regional and local built environment characteristics on travel distances by mode
Tao Tao, Xinyu Cao
Journal of Transport Geography (2023) Vol. 109, pp. 103599-103599
Open Access | Times Cited: 25

Machine learning techniques for evaluating the nonlinear link between built-environment characteristics and travel behaviors: A systematic review
Mahdi Aghaabbasi, Saksith Chalermpong
Travel Behaviour and Society (2023) Vol. 33, pp. 100640-100640
Closed Access | Times Cited: 23

Evaluating the impact of urban morphology on urban vitality: an exploratory study using big geo-data
Yanxiao Jiang, Zhou Huang, Xiao Zhou, et al.
International Journal of Digital Earth (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 14

Nonlinear and threshold effects of the built environment, road vehicles and air pollution on urban vitality
Quang Cuong Doan, Jun Ma, Shuting Chen, et al.
Landscape and Urban Planning (2024) Vol. 253, pp. 105204-105204
Closed Access | Times Cited: 12

Identification of 71 factors influencing urban vitality and examination of their spatial dependence: A comprehensive validation applying multiple machine-learning models
Zhenyu Wang, Xinzhu Wang, Yida Liu, et al.
Sustainable Cities and Society (2024) Vol. 108, pp. 105491-105491
Closed Access | Times Cited: 11

Investigating the effects of urban morphology on vitality of community life circles using machine learning and geospatial approaches
Sanwei He, Zhen Zhang, Shan Yu, et al.
Applied Geography (2024) Vol. 167, pp. 103287-103287
Closed Access | Times Cited: 11

Exploring non-linear urban vibrancy dynamics in emerging new towns: A case study of the Wuhan metropolitan area
Zhenyu Zhang, Liyuan Zhao, Ming Zhang
Sustainable Cities and Society (2024) Vol. 112, pp. 105580-105580
Closed Access | Times Cited: 8

How Did Built Environment Affect Urban Vitality in Urban Waterfronts? A Case Study in Nanjing Reach of Yangtze River
Zhengxi Fan, Jin Duan, Menglin Luo, et al.
ISPRS International Journal of Geo-Information (2021) Vol. 10, Iss. 9, pp. 611-611
Open Access | Times Cited: 46

Measuring urban nighttime vitality and its relationship with urban spatial structure: A data-driven approach
Chao Wu, Minwei Zhao, Yu Ye
Environment and Planning B Urban Analytics and City Science (2022) Vol. 50, Iss. 1, pp. 130-145
Closed Access | Times Cited: 37

Vital triangle: A new concept to evaluate urban vitality
Haimeng Liu, Peng Gou, Jieyang Xiong
Computers Environment and Urban Systems (2022) Vol. 98, pp. 101886-101886
Closed Access | Times Cited: 37

Exploring the relationship between the built environment and block vitality based on multi-source big data: an analysis in Shenzhen, China
Geyu Lv, Sheng Zheng, Wei Hu
Geomatics Natural Hazards and Risk (2022) Vol. 13, Iss. 1, pp. 1593-1613
Open Access | Times Cited: 31

Exploring nonlinear built environment effects on driving with a mixed-methods approach
Tao Tao, Petter Næss
Transportation Research Part D Transport and Environment (2022) Vol. 111, pp. 103443-103443
Closed Access | Times Cited: 28

The effects of the urban built environment on public transport ridership: similarities and differences
Zhitao Li, Fan Gao, Chenxi Xiao, et al.
Travel Behaviour and Society (2023) Vol. 33, pp. 100630-100630
Closed Access | Times Cited: 21

Exploring non-linear built environment effects on urban vibrancy under COVID-19: The case of Hong Kong
Longzhu Xiao, Jixiang Liu
Applied Geography (2023) Vol. 155, pp. 102960-102960
Open Access | Times Cited: 20

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