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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:

High group level validity but high random error of a self-report travel diary, as assessed by wearable cameras
Paul Kelly, Aiden Doherty, Anja Mizdrak, et al.
Journal of Transport & Health (2014) Vol. 1, Iss. 3, pp. 190-201
Open Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Systematic review and meta-analysis of reduction in all-cause mortality from walking and cycling and shape of dose response relationship
Paul Kelly, Sonja Kahlmeier, Thomas Götschi, et al.
International Journal of Behavioral Nutrition and Physical Activity (2014) Vol. 11, Iss. 1
Open Access | Times Cited: 459
Statistical machine learning of sleep and physical activity phenotypes from sensor data in 96,220 UK Biobank participants
Matthew Willetts, Sven Hollowell, Louis J. M. Aslett, et al.
Scientific Reports (2018) Vol. 8, Iss. 1
Open Access | Times Cited: 194
Should we reframe how we think about physical activity and sedentary behaviour measurement? Validity and reliability reconsidered
Paul Kelly, Claire Fitzsimons, Graham Baker
International Journal of Behavioral Nutrition and Physical Activity (2016) Vol. 13, Iss. 1
Open Access | Times Cited: 168
Hip and Wrist Accelerometer Algorithms for Free-Living Behavior Classification
Katherine Ellis, Jacqueline Kerr, Suneeta Godbole, et al.
Medicine & Science in Sports & Exercise (2015) Vol. 48, Iss. 5, pp. 933-940
Open Access | Times Cited: 162
Developing a Method to Test the Validity of 24 Hour Time Use Diaries Using Wearable Cameras: A Feasibility Pilot
Paul Kelly, Emma Thomas, Aiden Doherty, et al.
PLoS ONE (2015) Vol. 10, Iss. 12, pp. e0142198-e0142198
Open Access | Times Cited: 74
Testing Self-Report Time-Use Diaries against Objective Instruments in Real Time
Jonathan Gershuny, Teresa Harms, Aiden Doherty, et al.
Sociological Methodology (2019) Vol. 50, Iss. 1, pp. 318-349
Open Access | Times Cited: 63
Physical activity accrued as part of public transport use in England
Richard Patterson, Elizabeth Webb, Christopher Millett, et al.
Journal of Public Health (2018) Vol. 41, Iss. 2, pp. 222-230
Open Access | Times Cited: 52
Heterogeneity in transport mode choice of college students at a university based on the MaaS concept
Willy Kriswardhana, Domokos Esztergár-Kiss
Travel Behaviour and Society (2024) Vol. 36, pp. 100801-100801
Open Access | Times Cited: 5
Automatic Trip Detection with the Dutch Mobile Mobility Panel: Towards Reliable Multiple-Week Trip Registration for Large Samples
Tom Thomas, Karst Geurs, Johan Koolwaaij, et al.
Journal of Urban Technology (2018) Vol. 25, Iss. 2, pp. 143-161
Open Access | Times Cited: 43
Usefulness of Wearable Cameras as a Tool to Enhance Chronic Disease Self-Management: Scoping Review
Ralph Maddison, Susie Cartledge, Michelle Rogerson, et al.
JMIR mhealth and uhealth (2018) Vol. 7, Iss. 1, pp. e10371-e10371
Open Access | Times Cited: 38
Travel behaviour and Edinburgh’s Low Emission Zone: a cross-sectional survey
William Mueller, Fiona S. Carson, Helena Copsey, et al.
NIHR Open Research (2025) Vol. 5, pp. 33-33
Open Access
An investigation of using mobile and situated crowdsourcing to collect annotated travel activity data in real-word settings
Yung-Ju Chang, Gaurav Paruthi, Hsin‐Ying Wu, et al.
International Journal of Human-Computer Studies (2016) Vol. 102, pp. 81-102
Closed Access | Times Cited: 32
Segmenting the potential users of MaaS by combining latent class cluster analysis and structural equation modeling
Willy Kriswardhana, Domokos Esztergár-Kiss
Sustainable Cities and Society (2024) Vol. 114, pp. 105764-105764
Open Access | Times Cited: 3
Relationship between Objectively Measured Transportation Behaviors and Health Characteristics in Older Adults
Michelle Takemoto, Jordan Carlson, Kevin Moran, et al.
International Journal of Environmental Research and Public Health (2015) Vol. 12, Iss. 11, pp. 13923-13937
Open Access | Times Cited: 30
Technical, Regulatory, Economic, and Trust Issues Preventing Successful Integration of Sensors into the Mainstream Consumer Wearables Market
Jaime K. Devine, Lindsay P. Schwartz, Steven R. Hursh
Sensors (2022) Vol. 22, Iss. 7, pp. 2731-2731
Open Access | Times Cited: 14
Comparison of Self-Reported Sedentary Time on Weekdays with an Objective Measure (activPAL)
Kaja Kastelic, Nejc Šarabon
Measurement in Physical Education and Exercise Science (2019) Vol. 23, Iss. 3, pp. 227-236
Open Access | Times Cited: 25
A field study comparing approaches to collecting annotated activity data in real-world settings
Yung-Ju Chang, Gaurav Paruthi, Mark Newman
(2015)
Closed Access | Times Cited: 23
Using wearable cameras to monitor eating and drinking behaviours during transport journeys
Alyse Davies, Virginia Chan, Adrian Bauman, et al.
European Journal of Nutrition (2020) Vol. 60, Iss. 4, pp. 1875-1885
Closed Access | Times Cited: 20
Comparing modelled with self-reported travel time and the used versus the nearest facility: modelling geographic accessibility to family planning outlets in Kenya
Paul Bouanchaud, Peter M. Macharia, Eden G Demise, et al.
BMJ Global Health (2022) Vol. 7, Iss. 5, pp. e008366-e008366
Open Access | Times Cited: 11
Older adults’ staying at home in greater Tokyo: Association with population density and roles of car ownership and public transport
Takumi Abe, Shilpa Dogra, Neville Owen, et al.
Journal of Transport & Health (2024) Vol. 36, pp. 101807-101807
Closed Access | Times Cited: 2
Cycling Futures
Marilyn Johnson
University of Adelaide Press eBooks (2015)
Open Access | Times Cited: 15
Sensitivity and specificity of measuring children's free-living cycling with a thigh-worn Fibion® accelerometer
Arto J. Pesola, Samad Esmaeilzadeh, Pirjo Hakala, et al.
Frontiers in Sports and Active Living (2023) Vol. 5
Open Access | Times Cited: 4
Statistical machine learning of sleep and physical activity phenotypes from sensor data in 96,220 UK Biobank participants
Matthew Willetts, Sven Hollowell, Louis J. M. Aslett, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2017)
Open Access | Times Cited: 12
Comprehensive data validation of a combined weekly time use and travel survey
Florian Aschauer, Reinhard Hössinger, Sergio Jara-Dı́az, et al.
Transportation Research Part A Policy and Practice (2021) Vol. 153, pp. 66-82
Open Access | Times Cited: 9
The novel use of a SenseCam and accelerometer to validate training load and training information in a self-recall training diary
Siobhán O’Connor, Noel McCaffrey, Enda Whyte, et al.
Journal of Sports Sciences (2015) Vol. 34, Iss. 4, pp. 303-310
Closed Access | Times Cited: 8
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