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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:

Where does bicycling for health happen? Analysing volunteered geographic information through place and plexus
Greg Griffin, Junfeng Jiao
Journal of Transport & Health (2015) Vol. 2, Iss. 2, pp. 238-247
Open Access | Times Cited: 105

Showing 1-25 of 105 citing articles:

Urban nature in a time of crisis: recreational use of green space increases during the COVID-19 outbreak in Oslo, Norway
Zander S. Venter, David N. Barton, Vegard Gundersen, et al.
Environmental Research Letters (2020) Vol. 15, Iss. 10, pp. 104075-104075
Open Access | Times Cited: 668
Angler apps as a source of recreational fisheries data: opportunities, challenges and proposed standards
Paul Venturelli, Kieran Hyder, Christian Skov
Fish and Fisheries (2016) Vol. 18, Iss. 3, pp. 578-595
Closed Access | Times Cited: 173
Mapping ridership using crowdsourced cycling data
Ben Jestico, Trisalyn Nelson, Meghan Winters
Journal of Transport Geography (2016) Vol. 52, pp. 90-97
Open Access | Times Cited: 158
Defining and spatially modelling cultural ecosystem services using crowdsourced data
Ilan Havinga, P.W. Bogaart, Lars Hein, et al.
Ecosystem Services (2020) Vol. 43, pp. 101091-101091
Open Access | Times Cited: 104
Why cycling matters for Smart Cities. Internet of Bicycles for Intelligent Transport
Frauke Behrendt
Journal of Transport Geography (2016) Vol. 56, pp. 157-164
Closed Access | Times Cited: 96
Utilizing Crowdsourced Data for Studies of Cycling and Air Pollution Exposure: A Case Study Using Strava Data
Yeran Sun, Amin Mobasheri
International Journal of Environmental Research and Public Health (2017) Vol. 14, Iss. 3, pp. 274-274
Open Access | Times Cited: 89
Using crowdsourced data to monitor change in spatial patterns of bicycle ridership
Darren Boss, Trisalyn Nelson, Meghan Winters, et al.
Journal of Transport & Health (2018) Vol. 9, pp. 226-233
Open Access | Times Cited: 86
Strava Metro data for bicycle monitoring: a literature review
Kyuhyun Lee, Ipek N. Sener
Transport Reviews (2020) Vol. 41, Iss. 1, pp. 27-47
Closed Access | Times Cited: 84
Estimating bicycle trip volume for Miami-Dade county from Strava tracking data
Hartwig H. Hochmair, Eric Bardin, Ahmed Ahmouda
Journal of Transport Geography (2019) Vol. 75, pp. 58-69
Closed Access | Times Cited: 76
Emerging data for pedestrian and bicycle monitoring: Sources and applications
Kyuhyun Lee, Ipek N. Sener
Transportation Research Interdisciplinary Perspectives (2020) Vol. 4, pp. 100095-100095
Open Access | Times Cited: 73
Evaluating the bikeability of urban streets using dockless shared bike trajectory data
Dan Wang, Meihan Jin, De Tong, et al.
Sustainable Cities and Society (2024) Vol. 101, pp. 105181-105181
Closed Access | Times Cited: 12
Investigating Impacts of Environmental Factors on the Cycling Behavior of Bicycle-Sharing Users
Yeran Sun, Amin Mobasheri, Xuke Hu, et al.
Sustainability (2017) Vol. 9, Iss. 6, pp. 1060-1060
Open Access | Times Cited: 78
Examining Associations of Environmental Characteristics with Recreational Cycling Behaviour by Street-Level Strava Data
Yeran Sun, Yunyan Du, Yu Wang, et al.
International Journal of Environmental Research and Public Health (2017) Vol. 14, Iss. 6, pp. 644-644
Open Access | Times Cited: 77
Correcting Bias in Crowdsourced Data to Map Bicycle Ridership of All Bicyclists
Avipsa Roy, Trisalyn Nelson, A. Stewart Fotheringham, et al.
Urban Science (2019) Vol. 3, Iss. 2, pp. 62-62
Open Access | Times Cited: 65
Visualising where commuting cyclists travel using crowdsourced data
David Philip McArthur, Jinhyun Hong
Journal of Transport Geography (2018) Vol. 74, pp. 233-241
Open Access | Times Cited: 63
Crowdsourced data for bicycling research and practice
Trisalyn Nelson, Colin Ferster, Karen Laberee, et al.
Transport Reviews (2020) Vol. 41, Iss. 1, pp. 97-114
Open Access | Times Cited: 63
The usefulness of GPS bicycle tracking data for evaluating the impact of infrastructure change on cycling behaviour
Kristiann C. Heesch, M G Langdon
Health Promotion Journal of Australia (2016) Vol. 27, Iss. 3, pp. 222-229
Open Access | Times Cited: 61
Impact of Accessibility on Housing Prices in Dalian City of China Based on a Geographically Weighted Regression Model
Jun Yang, Yajun Bao, Yuqing Zhang, et al.
Chinese Geographical Science (2018) Vol. 28, Iss. 3, pp. 505-515
Open Access | Times Cited: 61
Comparing spatial patterns of crowdsourced and conventional bicycling datasets
Lindsey Conrow, Elizabeth A. Wentz, Trisalyn Nelson, et al.
Applied Geography (2018) Vol. 92, pp. 21-30
Closed Access | Times Cited: 61
Urban nature in a time of crisis: recreational use of green space increases during the COVID-19 outbreak in Oslo, Norway
Zander S. Venter, David N. Barton, Vegard Gundersen, et al.
(2020)
Open Access | Times Cited: 52
Situated data analysis: a new method for analysing encoded power relationships in social media platforms and apps
Jill Walker Rettberg
Humanities and Social Sciences Communications (2020) Vol. 7, Iss. 1
Open Access | Times Cited: 52
Generalized model for mapping bicycle ridership with crowdsourced data
Trisalyn Nelson, Avipsa Roy, Colin Ferster, et al.
Transportation Research Part C Emerging Technologies (2021) Vol. 125, pp. 102981-102981
Open Access | Times Cited: 47
Mapping with Stakeholders: An Overview of Public Participatory GIS and VGI in Transport Decision-Making
Nadia Giuffrida, Michela Le Pira, Giuseppe Inturri, et al.
ISPRS International Journal of Geo-Information (2019) Vol. 8, Iss. 4, pp. 198-198
Open Access | Times Cited: 49
Comparing bicyclists who use smartphone apps to record rides with those who do not: Implications for representativeness and selection bias
Michael D. Garber, Kari Watkins, Michael R. Kramer
Journal of Transport & Health (2019) Vol. 15, pp. 100661-100661
Open Access | Times Cited: 46
Data-driven Bicycle Network Analysis Based on Traditional Counting Methods and GPS Traces from Smartphone
Federico Rupi, Cristian Poliziani, Joerg Schweizer
ISPRS International Journal of Geo-Information (2019) Vol. 8, Iss. 8, pp. 322-322
Open Access | Times Cited: 44
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