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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:

Understanding the travel behaviors and activity patterns of the vulnerable population using smart card data: An activity space-based approach
Shanqi Zhang, Yu Yang, Feng Zhen, et al.
Journal of Transport Geography (2020) Vol. 90, pp. 102938-102938
Closed Access | Times Cited: 48

Showing 1-25 of 48 citing articles:

Towards a 15-minute city: A network-based evaluation framework
Shanqi Zhang, Feng Zhen, Yu Kong, et al.
Environment and Planning B Urban Analytics and City Science (2022) Vol. 50, Iss. 2, pp. 500-514
Closed Access | Times Cited: 50
Characterising travel behaviour patterns of transport hub station area users using mobile phone data
Long Cheng, Xinmei Cai, Zhuo Liu, et al.
Journal of Transport Geography (2024) Vol. 116, pp. 103855-103855
Closed Access | Times Cited: 12
Nonlinearities and threshold points in the effect of contextual features on the spatial and temporal variability of bus use in Beijing using explainable machine learning: Predictable or uncertain trips?
Sui Tao, Francisco Rowe, Hongyu Shan
Journal of Transport Geography (2025) Vol. 123, pp. 104126-104126
Open Access | Times Cited: 1
Machine learning approach for spatial modeling of ridesourcing demand
Xiaojian Zhang, Xilei Zhao
Journal of Transport Geography (2022) Vol. 100, pp. 103310-103310
Closed Access | Times Cited: 29
How do built environment characteristics influence bus use patterns across neighbourhood types in Beijing? A machine-learning analysis
Sui Tao, Teqi Dai, Yuanyuan Guo, et al.
Travel Behaviour and Society (2024) Vol. 35, pp. 100756-100756
Closed Access | Times Cited: 7
Investigating socio-spatial differentiation for metro travelers using smart card data: Older people vs. others
Jie Huang, Meicheng Xiong, Jiaoe Wang, et al.
Applied Geography (2024) Vol. 165, pp. 103230-103230
Closed Access | Times Cited: 6
Examining the varying influences of built environment on bike-sharing commuting: Empirical evidence from Shanghai
Hui Bi, Aoyong Li, Mingzhuang Hua, et al.
Transport Policy (2022) Vol. 129, pp. 51-65
Closed Access | Times Cited: 25
Disabled travel and urban environment: A literature review
Xiaoming Shen, Siqi Zheng, Rui Wang, et al.
Transportation Research Part D Transport and Environment (2022) Vol. 115, pp. 103589-103589
Open Access | Times Cited: 25
Quantifying spatial disparities and influencing factors of home, work, and activity space separation in Beijing
Jian Liu, Bin Meng, Ming Yang, et al.
Habitat International (2022) Vol. 126, pp. 102621-102621
Closed Access | Times Cited: 24
Identifying human mobility patterns using smart card data
Oded Cats
Transport Reviews (2023) Vol. 44, Iss. 1, pp. 213-243
Open Access | Times Cited: 13
Nonlinear impact of built environment on people with disabilities’ metro use behavior
Hong Yang, Jiandong Peng, Yi Lü, et al.
Applied Geography (2024) Vol. 169, pp. 103323-103323
Closed Access | Times Cited: 5
Investigating the non-linear influence of the built environment on passengers’ travel distance within metro and bus networks using smart card data
Yang Liu, Donglin He, Jiayou Lei, et al.
Multimodal Transportation (2025), pp. 100188-100188
Open Access
Non-linear effects of built environment and socio-demographics on activity space
Zhengyu Duan, Haoran Zhao, Zhenming Li
Journal of Transport Geography (2023) Vol. 111, pp. 103671-103671
Closed Access | Times Cited: 11
Big data for big issues: Revealing travel patterns of low-income population based on smart card data mining in a global south unequal city
Caio Pieroni, Mariana Giannotti, Bianca Bianchi Alves, et al.
Journal of Transport Geography (2021) Vol. 96, pp. 103203-103203
Closed Access | Times Cited: 25
An investigation into the impact of the built environment on the travel mobility gap using mobile phone data
Yu Pan, Sylvia Y. He
Journal of Transport Geography (2023) Vol. 108, pp. 103571-103571
Closed Access | Times Cited: 10
Measuring activity-based social segregation using public transport smart card data
Lukas Kolkowski, Oded Cats, Malvika Dixit, et al.
Journal of Transport Geography (2023) Vol. 110, pp. 103642-103642
Open Access | Times Cited: 10
Uncovering travel communities among older and younger adults using smart card data
Jiaomin Wei, Zihan Kan, Mei‐Po Kwan, et al.
Applied Geography (2024) Vol. 173, pp. 103453-103453
Closed Access | Times Cited: 3
Inequality in leisure mobility: An analysis of activity space segregation spectra in the Stockholm conurbation
Marina Toger, Umut Türk, John Östh, et al.
Journal of Transport Geography (2023) Vol. 111, pp. 103638-103638
Open Access | Times Cited: 7
Exploring collective activity space and its spatial heterogeneity using mobile phone signaling Data: A case of Shenzhen, China
Li Juan, Pengjun Zhao, Mengzhu Zhang, et al.
Travel Behaviour and Society (2024) Vol. 38, pp. 100920-100920
Closed Access | Times Cited: 2
Comparison of the tourist mobility patterns among demographic subgroups with mobile phone data: A case study of Chongqing, China
Zongshun Tian, Qin Wang, Yong Liu, et al.
Applied Geography (2023) Vol. 159, pp. 103090-103090
Closed Access | Times Cited: 5
Rural residential energy-saving in China: Role of village morphology and villagers’ daily activities
Zishuo Huang, Yingfang Liu, Yi Wang
Journal of Cleaner Production (2022) Vol. 379, pp. 134707-134707
Closed Access | Times Cited: 8
Driving Risk Identification of Truck Drivers Based on China’s Highway Toll Data
Zhenzhen Yang
Sustainability (2024) Vol. 16, Iss. 5, pp. 2122-2122
Open Access | Times Cited: 1
Revealing the heterogeneity of periodic visiting patterns across different ages and spaces using a flexible detection method: A case study of Beijing
Zidong Fang, Tao Pei, Ci Song, et al.
Applied Geography (2024) Vol. 168, pp. 103315-103315
Closed Access | Times Cited: 1
Mobility challenges for senior passengers during the Covid-19 pandemic
Donggyun Ku, Dahye Kim, Seungjae Lee
Proceedings of the Institution of Civil Engineers - Municipal Engineer (2023) Vol. 176, Iss. 3, pp. 161-172
Closed Access | Times Cited: 4
Quantifying local mobility patterns in urban human mobility data
Milad Malekzadeh, Darja Reuschke, Jed Long
International Journal of Geographical Information Science (2024), pp. 1-24
Open Access | Times Cited: 1
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