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 D-TRANSPORT AND ENVIRONMENT
Paper Review Records
All Paper Review Records
20 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.
172
days
The effectiveness and limits of time-of-use pricing in public EV charging networks
Authors
Mingzhi Xiao; Yuki TakayamaShow moreShow less
Affiliations
Institute of Science Tokyo, 2-12-1 W6-9, Ookayama, Meguro ku, Tokyo 152-8552, JapanShow moreShow less
235
days
Data-driven investigation of ship fuel consumption integrating causal inference and hierarchical analysis
Authors
Wenjie Cao; Xinjian Wang; Wei Zhang; Huanhuan Li; Siming Fang; Zaili YangShow moreShow less
Affiliations
Navigation College, Dalian Maritime University, Dalian 116026, PR China; Liverpool Logistics, Offshore and Marine (LOOM) Research Institute, Liverpool John Moores University, Liverpool L3 3AF, UK; State Key Laboratory of Maritime Technology and Safety, Dalian 116026, PR China; Centre for Maritime and Logistics Management, Australian Maritime College, University of Tasmania, Maritime Way, Newnham, TAS 7248, Australia; School of Engineering, University of Southampton, Southampton SO17 1, UK; Navigation College, Jimei University, Xiamen 361021, PR ChinaShow 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