Open Access Helper

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:

Explainable artificial intelligence in transport Logistics: Risk analysis for road accidents
Ismail Abdulrashid, Reza Zanjirani Farahani, Shamkhal Mammadov, et al.
Transportation Research Part E Logistics and Transportation Review (2024) Vol. 186, pp. 103563-103563
Closed Access | Times Cited: 10

Showing 10 citing articles:

Explainable Artificial Intelligence (XAI)
Mitra Tithi Dey
Advances in environmental engineering and green technologies book series (2024), pp. 333-362
Closed Access | Times Cited: 140
Role and applications of advanced digital technologies in achieving sustainability in multimodal logistics operations: A systematic literature review
Anaiz Gul Fareed, Fabio De Felice, Antonio Forcina, et al.
Sustainable Futures (2024) Vol. 8, pp. 100278-100278
Open Access | Times Cited: 6
Revealing the built environment impacts on truck emissions using interpretable machine learning
Tongtong Shi, Meiting Tu, Ye Li, et al.
Transportation Research Part D Transport and Environment (2025) Vol. 141, pp. 104662-104662
Closed Access
Understanding the impacts of negative advanced driving assistance system warnings on hazardous materials truck drivers’ responses using interpretable machine learning
Yichang Shao, Yueru Xu, Zhirui Ye, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 146, pp. 110308-110308
Closed Access
Environmental determinants of dynamic jogging patterns: Insights from trajectory big data analysis and interpretable machine learning
Wei Yang, Jun Fei, Jingjing Li, et al.
Applied Geography (2025) Vol. 178, pp. 103596-103596
Closed Access
An interpretable machine learning framework for enhancing road transportation safety
Ismail Abdulrashid, Wen‐Chyuan Chiang, Jiuh‐Biing Sheu, et al.
Transportation Research Part E Logistics and Transportation Review (2025) Vol. 195, pp. 103969-103969
Closed Access
Recent Emerging Techniques in Explainable Artificial Intelligence to Enhance the Interpretable and Understanding of AI Models for Human
Daniel J. Mathew, Deborah Ebem, Anayo Chukwu Ikegwu, et al.
Neural Processing Letters (2025) Vol. 57, Iss. 1
Open Access
Enhancing road safety with machine learning: Current advances and future directions in accident prediction using non-visual data
Albe Bing Zhe Chai, Lau Bee Theng, Mark Tee Kit Tsun, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109086-109086
Open Access | Times Cited: 3
Transport behavior and government interventions in pandemics: A hybrid explainable machine learning for road safety
Ismail Abdulrashid, Reza Zanjirani Farahani, Shamkhal Mammadov, et al.
Transportation Research Part E Logistics and Transportation Review (2024) Vol. 193, pp. 103841-103841
Closed Access | Times Cited: 1
Risk of adverse events in the transportation of oversize cargoes
Michał Lasota, Mieczysław S. Sokołowski, Czesław Wojdat, et al.
Eksploatacja i Niezawodnosc - Maintenance and Reliability (2024)
Open Access
Page 1

Scroll to top