CrushSCI reveals real review times for each journal, giving authors transparent guidance for submission. As AI makes publishing increasingly challenging, the platform helps authors improve submission efficiency. Contact us if you need assistance.
Engineering
Engineering
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Review Cycle Records
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
Paper Review Records
All Paper Review Records
19 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.
198
days
The effect of online meeting and health screening on business travel: A stated preference case study in Hong Kong
Authors
Tiantian Chen; Xiaowen Fu; David A. Hensher; Zhi-Chun Li; N.N. SzeShow moreShow less
Affiliations
1. Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong; 2. Behaviour and Knowledge Engineering Research Centre, Department of Industrial and Systems Engineering, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong; 3. Institute of Transport and Logistics Studies, the University of Sydney Business School, the University of Sydney, Australia; 4. School of Management, Huazhong University of Science and Technology, Wuhan, China; 5. Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong KongShow moreShow less
Expert Matching · Case Demo
Turn Your Submission Goalsinto a Verifiable Journal Plan
Share your field, deadline, and author profile. CrushSCI uses real review records to suggest a title direction, shortlist journals, and estimate timelines.
Client
I work in environmental engineering and need an SCI paper published within three months. I have no grant funding or prominent co-author. Which journals could I target?
CrushSCI
Yes. We will first screen for feasibility against the 90-day deadline, then identify comparable papers without grant support or prominent co-authors. The final shortlist will prioritize research quality and journal scope.
- Suggested title
- Machine Learning and Life-Cycle Assessment for Predicting and Optimizing Carbon Emissions in Urban Wastewater Treatment
- Database shortlist
- Environmental Technology & Innovation
SampleLatest 5 valid paper samples from 2026
Average review62 days
Median65 days