OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Models for forecasting the traffic flow within the city of Ljubljana
Gašper Petelin, Rok Hribar, Gregor Papa
European Transport Research Review (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 9

Showing 9 citing articles:

A Comparison of ML Models for Predicting Congestion in Urban Cities
Deepika, Gitanjali Pandove
International Journal of Intelligent Transportation Systems Research (2024) Vol. 22, Iss. 1, pp. 171-188
Closed Access | Times Cited: 7

Safe deep reinforcement learning for flow control within the Internet of Vehicles
Anas Knari, Mohammed-Amine Koulali, Ahmed Khoumsi
Expert Systems with Applications (2025), pp. 126437-126437
Closed Access

Advanced computing to support urban climate neutrality
Gregor Papa, Rok Hribar, Gašper Petelin, et al.
Energy Sustainability and Society (2025) Vol. 15, Iss. 1
Open Access

Dealing with zero-inflated data: Achieving state-of-the-art with a two-fold machine learning approach
Jože M. Rožanec, Gašper Petelin, João Paulo C. L. da Costa, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 149, pp. 110339-110339
Open Access

Enhancing road traffic flow in sustainable cities through transformer models: Advancements and challenges
Shahriar Soudeep, Most. Lailun Nahar Aurthy, Jamin Rahman Jim, et al.
Sustainable Cities and Society (2024) Vol. 116, pp. 105882-105882
Closed Access | Times Cited: 2

Improving Urban Travel Time Estimation Using Gaussian Mixture Models
Andrea Gemma, Livia Mannini, Umberto Crisalli, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 10, pp. 14154-14163
Closed Access | Times Cited: 1

A novel modelling framework for real-time prediction of path travel times using both traffic and weather data
Ang Li, William H. K. Lam, Wei Ma, et al.
Transportmetrica A Transport Science (2024), pp. 1-34
Closed Access | Times Cited: 1

Association of Vehicle Count Data Obtained Via Image Processing Techniques Compared with Microsimulation Program Analysis Results
Seyitali İlyas, Bahadır Ersoy Ulusoy, Sevil Köfteci, et al.
Research Square (Research Square) (2024)
Open Access

Association of Vehicle Count Data Obtained Via Image Processing Techniques Compared with Microsimulation Program Analysis Results
Seyitali İlyas, Bahadır Ersoy Ulusoy, Sevil Köfteci, et al.
Networks and Spatial Economics (2024)
Open Access

An Experimental Study on Decomposition-Based Deep Ensemble Learning for Traffic Flow Forecasting
Qiyuan Zhu, A. K. Qin, Hussein Dia, et al.
Lecture notes in computer science (2024), pp. 394-407
Closed Access

Page 1

Scroll to top