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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 spatial econometric model for travel flow analysis and real-world applications with massive mobile phone data
Linglin Ni, Xiaokun Wang, Xiqun Chen
Transportation Research Part C Emerging Technologies (2017) Vol. 86, pp. 510-526
Closed Access | Times Cited: 76

Showing 1-25 of 76 citing articles:

A big-data driven approach to analyzing and modeling human mobility trend under non-pharmaceutical interventions during COVID-19 pandemic
Songhua Hu, Chenfeng Xiong, Mofeng Yang, et al.
Transportation Research Part C Emerging Technologies (2021) Vol. 124, pp. 102955-102955
Open Access | Times Cited: 151
Inferring dynamic origin-destination flows by transport mode using mobile phone data
Danya Bachir, Ghazaleh Khodabandelou, Vincent Gauthier, et al.
Transportation Research Part C Emerging Technologies (2019) Vol. 101, pp. 254-275
Open Access | Times Cited: 148
Rethinking Behaviors and Activities of Base Stations in Mobile Cellular Networks Based on Big Data Analysis
Dingde Jiang, Liuwei Huo, Houbing Song
IEEE Transactions on Network Science and Engineering (2020) Vol. 7, Iss. 1, pp. 80-90
Closed Access | Times Cited: 140
Modeling real-time human mobility based on mobile phone and transportation data fusion
Zhiren Huang, Ximan Ling, Pu Wang, et al.
Transportation Research Part C Emerging Technologies (2018) Vol. 96, pp. 251-269
Closed Access | Times Cited: 124
Does municipal solid waste generation in China support the Environmental Kuznets Curve? New evidence from spatial linkage analysis
Shan Gui, Liange Zhao, Zhijian Zhang
Waste Management (2018) Vol. 84, pp. 310-319
Closed Access | Times Cited: 97
A new model for residential location choice using residential trajectory data
Yanzhe Cui, Pengjun Zhao, Ling Li, et al.
Humanities and Social Sciences Communications (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 8
New and emerging data forms in transportation planning and policy: Opportunities and challenges for “Track and Trace” data
Gillian Harrison, Susan Grant‐Muller, Frances Hodgson
Transportation Research Part C Emerging Technologies (2020) Vol. 117, pp. 102672-102672
Open Access | Times Cited: 65
Spatiotemporal influence of land use and household properties on automobile travel demand
Xinyi Shen, Yujia Zhou, Sheng Jin, et al.
Transportation Research Part D Transport and Environment (2020) Vol. 84, pp. 102359-102359
Closed Access | Times Cited: 50
Understanding travellers’ preferences for different types of trip destination based on mobile internet usage data
Yihong Wang, Gonçalo Homem de Almeida Correia, Bart van Arem, et al.
Transportation Research Part C Emerging Technologies (2018) Vol. 90, pp. 247-259
Open Access | Times Cited: 50
A data-driven approach for origin–destination matrix construction from cellular network signalling data: a case study of Lyon region (France)
Mariem Fekih, Tom Bellemans, Zbigniew Smoreda, et al.
Transportation (2020) Vol. 48, Iss. 4, pp. 1671-1702
Open Access | Times Cited: 44
Spatio-temporal dynamic change mechanism analysis of traffic conflict risk based on trajectory data
Yuping Hu, Ye Li, Helai Huang
Accident Analysis & Prevention (2023) Vol. 191, pp. 107203-107203
Closed Access | Times Cited: 13
The dynamic effects of regional public transport connectivity on intercity mobility from a dyadic flow perspective
Tao Li, Fei Jiang, Yu Tu, et al.
Applied Geography (2025) Vol. 176, pp. 103533-103533
Closed Access
An Overview of Customized Bus System
Jiangbo Wang, Kai Liu, Tao Liu, et al.
(2025), pp. 3-12
Closed Access
Spatial–Temporal Evolution of Customized Bus Demand
Jiangbo Wang, Kai Liu, Tao Liu, et al.
(2025), pp. 189-222
Closed Access
Measuring Realized Immobility
Giovanni Lanza
SpringerBriefs in applied sciences and technology (2025), pp. 37-61
Closed Access
Exploring the Urban Structure of Recreational Spaces through Residents’ Mobility Behavior Using Mobile Phone Signaling Data
L. Wang, Angela Xiao Wu, Yan He
Journal of Urban Planning and Development (2025) Vol. 151, Iss. 2
Closed Access
Exploring strengths and weaknesses of mobility inference from mobile phone data vs. travel surveys
Noelia Cáceres, Luis M. Romero, Francisco G. Benítez
Transportmetrica A Transport Science (2020) Vol. 16, Iss. 3, pp. 574-601
Closed Access | Times Cited: 34
Identifying Tourists and Locals by K-Means Clustering Method from Mobile Phone Signaling Data
Haodong Sun, Yanyan Chen, Jianhui Lai, et al.
Journal of Transportation Engineering Part A Systems (2021) Vol. 147, Iss. 10
Closed Access | Times Cited: 25
Spatial dependence and spillover effects in customized bus demand: Empirical evidence using spatial dynamic panel models
Jiangbo Wang, Toshiyuki Yamamoto, Kai Liu
Transport Policy (2021) Vol. 105, pp. 166-180
Closed Access | Times Cited: 24
Unveiling the daily rhythm of urban space: Exploring the influence of built environment on spatiotemporal mobility patterns
Cansu Güller, Çiğdem Varol
Applied Geography (2024) Vol. 170, pp. 103366-103366
Closed Access | Times Cited: 3
On the requirements on spatial accuracy and sampling rate for transport mode detection in view of a shift to passive signalling data
Oswald Burkhard, Henrik Becker, Robert Weibel, et al.
Transportation Research Part C Emerging Technologies (2020) Vol. 114, pp. 99-117
Open Access | Times Cited: 24
Investigating socio-spatial differences between solo ridehailing and pooled rides in diverse communities
Jason Soria, Amanda Stathopoulos
Journal of Transport Geography (2021) Vol. 95, pp. 103148-103148
Open Access | Times Cited: 22
The Relationship between Urban Population Density Distribution and Land Use in Guangzhou, China: A Spatial Spillover Perspective
Yisheng Peng, Jiahui Liu, Tianyao Zhang, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 22, pp. 12160-12160
Open Access | Times Cited: 22
Mobile phone data in transportation research: methods for benchmarking against other data sources
Andreas D. Landmark, Petter Arnesen, Carl‐Johan Södersten, et al.
Transportation (2021) Vol. 48, Iss. 5, pp. 2883-2905
Closed Access | Times Cited: 20
COVID-19: A Comparative Study of Population Aggregation Patterns in the Central Urban Area of Tianjin, China
Peng Zeng, Zongyao Sun, Yuqi Chen, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 4, pp. 2135-2135
Open Access | Times Cited: 18
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