IJTST Announces 2025 Best Editor, Best Reviewer, and Most Cited Paper Award Recipients
Published 05 March, 2026
The International Journal of Transportation Science and Technology (IJTST) is pleased to announce the recipients of the 2025 IJTST Best Editor Award, Best Reviewer Award, and Most Cited Paper Award. This year, we proudly recognize the outstanding contributions of three associate editors, seven reviewers, and five highly cited papers, whose dedication and scholarly excellence have significantly advanced the quality, visibility, and impact of the journal.
We extend our sincere congratulations and deepest appreciation to all award recipients for their professionalism, commitment, and continued support of IJTST.
Best Editor Award
- Prof. Chi Xie
- Prof. Ghim Ping Ong
- Prof. Hualiang Teng
Best Reviewer Award
- Dr. Chenglong Liu
- Dr. Xiang Shu
- Dr. Guangchuan Yang
- Dr. Elzbieta Macioszek
- Dr. Yu Tian
- Dr. Renrong Zheng
- Dr. Haoxuan Dong
Most Cited Paper Award
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Ibukun Titiloye, Md Al Adib Sarker, Xia Jin, Brian Watts, "Examining channel choice preferences for grocery shopping during the Covid-19 pandemic", Volume 14, June 2024, Pages 57-72.
https://www.sciencedirect.com/science/article/pii/S2046043023000278 -
Duong Ngoc Hai, Chu Cong Minh, Nathan Huynh, "Meta-analysis of driving behavior studies and assessment of factors using structural equation modeling", Volume 14, June 2024, Pages 219-236.
https://www.sciencedirect.com/science/article/pii/S2046043023000382 -
Hongren Gong, Liming Liu, Haimei Liang, Yuhui Zhou, Lin Cong, "A state-of-the-art survey of deep learning models for automated pavement crack segmentation", Volume 13, March 2024, Pages 44-57.
https://www.sciencedirect.com/science/article/pii/S2046043023001028 -
Ahmed Sajid Hasan, Mohammad Jalayer, Subasish Das, Md. Asif Bin Kabir, "Application of machine learning models and SHAP to examine crashes involving young drivers in New Jersey", Volume 14, June 2024, Pages 156-170.
https://www.sciencedirect.com/science/article/pii/S2046043023000345 -
Isaac Oyeyemi Olayode, Bo Du, Lagouge Kwanda Tartibu, Frimpong Justice Alex, "Traffic flow modelling of long and short trucks using a hybrid artificial neural network optimized by particle swarm optimization", Volume 14, June 2024, Pages 137-155.
https://www.sciencedirect.com/science/article/pii/S2046043023000333