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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:

The identification of significant features towards travel mode choice and its prediction via optimised random forest classifier: An evaluation for active commuting behavior
Nur Fahriza Mohd Ali, Ahmad Farhan Mohd Sadullah, Anwar P. P. Abdul Majeed, et al.
Journal of Transport & Health (2022) Vol. 25, pp. 101362-101362
Closed Access | Times Cited: 24

Showing 24 citing articles:

Predicting factors affecting the intention to use a 3PL during the COVID-19 pandemic: A machine learning ensemble approach
Josephine D. German, Ardvin Kester S. Ong, Anak Agung Ngurah Perwira Redi, et al.
Heliyon (2022) Vol. 8, Iss. 11, pp. e11382-e11382
Open Access | Times Cited: 40
Application of machine learning technology for occupational accident severity prediction in the case of construction collapse accidents
Xixi Luo, Xinchun Li, Zaili Yang, et al.
Safety Science (2023) Vol. 163, pp. 106138-106138
Closed Access | Times Cited: 26
A machine learning approach for unraveling the influence of air quality awareness on travel behavior
Kapil Kumar Meena, D. K. Bairwa, Amit Agarwal
Decision Analytics Journal (2024) Vol. 11, pp. 100459-100459
Open Access | Times Cited: 6
Understanding the influence of fare reduction on public transport adoption: A study of Lisbon, Portugal
Kelli Silver, André Soares Lopes, David Vale, et al.
Case Studies on Transport Policy (2025), pp. 101383-101383
Open Access
Analysis and modeling of travel behaviors of public transit passengers in car-oriented developing countries
Randa Oqab Mujalli, Iqbal Marie, Madhar Haddad, et al.
Innovative Infrastructure Solutions (2025) Vol. 10, Iss. 2
Closed Access
Applications of interpretable ensemble learning for workplace risk assessment: The Chinese coal industry as an example
Qifei Wang, Yong Zhao, Junlong Wang, et al.
Risk Analysis (2025)
Closed Access
Comparative Analysis of Traditional and Modern Techniques to Study the Influence of Health on Travel Mode Choice to Work Using 2022 NHTS
Mujahid Ali, Elżbieta Macioszek
Lecture notes in networks and systems (2025), pp. 47-63
Closed Access
Understanding the Travel Behaviour by Gender: Comparisons of Machine Learning Models
Nur Fahriza Mohd Ali, Anwar P. P. Abdul Majeed, Ahmad Farhan Mohd Sadullah
Lecture notes in networks and systems (2025), pp. 437-450
Closed Access
Prediction of Video Assistant Referee Intervention Following Tactical and Misconduct Offences in Elite European Football Leagues
Anwar P. P. Abdul Majeed, Rabiu Muazu Musa, Aina Munirah Ab Rasid, et al.
Lecture notes in networks and systems (2025), pp. 458-465
Closed Access
Determinants of paratransit feeder service provision using AI-synthesized revealed preference data: a paratransit drivers’ perspective on PT reform using machine learning
Simeon Stevenson Turay, Charles A. Adams, Augustus Ababio-Donkor
Transportation Planning and Technology (2024), pp. 1-30
Closed Access | Times Cited: 3
Utilizing a machine learning ensemble to evaluate the service quality and passenger satisfaction among public transportations
Ardvin Kester S. Ong, Taniah Ivan F. Agcaoili, Duke Elijah R. Juan, et al.
Journal of Public Transportation (2023) Vol. 25, pp. 100076-100076
Open Access | Times Cited: 7
Assessing the factors affecting the perceived crossing speed of pedestrians and investigating the direct and indirect effects of crash risk perception on perceived crossing speed
Aditya Saxena
Journal of Transport & Health (2022) Vol. 28, pp. 101541-101541
Closed Access | Times Cited: 11
Application of Machine Learning to Child Mode Choice with a Novel Technique to Optimize Hyperparameters
Hamed Naseri, E. Owen D. Waygood, Bobin Wang, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 24, pp. 16844-16844
Open Access | Times Cited: 11
Classification of Weather Conditions Based on Supervised Learning for Swedish Cities
Mohamad Safia, R. Abbas, Mohammad Aslani
Atmosphere (2023) Vol. 14, Iss. 7, pp. 1174-1174
Open Access | Times Cited: 6
Ebike Sharing vs. Bike Sharing: Demand Prediction Using Deep Neural Networks and Random Forests
Maren Schnieder
Sustainability (2023) Vol. 15, Iss. 18, pp. 13898-13898
Open Access | Times Cited: 6
Machine-Learning-Based Diagnostics of Cardiac Sarcoidosis Using Multi-Chamber Wall Motion Analyses
Jan Eckstein, Negin Moghadasi, Hermann Körperich, et al.
Diagnostics (2023) Vol. 13, Iss. 14, pp. 2426-2426
Open Access | Times Cited: 5
Factors Influencing Docked Bike-Sharing Usage in the City of Kigali, Rwanda
Jean Marie Vianney Ntamwiza, Hannibal Bwire
Transport Economics and Management (2024)
Open Access | Times Cited: 1
Exploring the Nonlinear and Threshold Effects of Travel Distance on the Travel Mode Choice across Different Groups: An Empirical Study of Guiyang, China
Mingwei He, Jianbo Li, Zhuangbin Shi, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 23, pp. 16045-16045
Open Access | Times Cited: 6
Yus - A Deep Learning Algorithm for Collision Avoidance through Object and Vehicle Detection
Mohammad Sojon Beg, Muhammad Yusri Ismail, M. Saef Ullah Miah, et al.
Journal of Advanced Research in Applied Sciences and Engineering Technology (2023) Vol. 31, Iss. 1, pp. 226-236
Open Access | Times Cited: 3
Determinants of last-mile travel mode choice under different COVID-19 alert levels: A case study of Batasan Hills, Quezon City, Philippines
Ma. Bernadeth Lim, Hector Lim, Joy Mae Anabo, et al.
˜˜Thœe œPalawan scientist (2024) Vol. 16, Iss. 2, pp. 1-9
Closed Access
Exploring disparities and similarities in daily travel mode choices between electric vehicle owners and internal combustion engine vehicle owners
Kai Liu, Yuan Xu
Transportation Letters (2024), pp. 1-16
Closed Access
Addressing overfitting in classification models for transport mode choice prediction: a practical application in the Aburrá Valley, Colombia
Kathleen Salazar-Serna, Sergio A. Barona, Isabel Cristina Carbonell García, et al.
Transportation Letters (2024), pp. 1-18
Closed Access
Key Characteristics of Multimodal Public Transport Across the Entire Commuting Process: Quantitative Evidence from Shanghai
Meiping Yun, Junjun Zhan, Cen Zhang, et al.
Journal of Advanced Transportation (2024) Vol. 2024, Iss. 1
Open Access
Interpretable machine learning models for detecting fine-grained transport modes by multi-source data
Yuhang Liu, Jun Chen, Yuchen Wang, et al.
Electronic Research Archive (2023) Vol. 31, Iss. 11, pp. 6844-6865
Open Access
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