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.
Materials Science
Materials Science
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Review Cycle Records
International Journal of Minerals Metallurgy and Materials
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.
63
days
Sensitivity analysis of a CNN–LSTM prognostic framework for proton exchange membrane fuel cells: Effects of sliding window size and training data allocation
Authors
Qin Lin; Liang Hu; Wenmiao Liu; Xiaomin Tang; Yuhao Wang; Zhibin YangShow moreShow less
Affiliations
1. Research Center of Solid Oxide Fuel Cell, China University of Mining and Technology (Beijing), Beijing, China; 2. Department of Mechanical and Aerospace Engineering, The Hong Kong University of Science and Technology, Hong Kong, ChinaShow moreShow less
71
days
Explainable MRF-BBAPM with self-learning for predicting compressive strength of oxidized pellet
Authors
Zezheng Li; Jue Tang; Mansheng Chu; Quan ShiShow moreShow less
Affiliations
1. Engineering Research Center of Frontier Technologies for Low-Carbon Steelmaking, Ministry of Education, Shenyang, China; 2. School of Metallurgy, Northeastern University, Shenyang, China; 3. Liaoning Low-Carbon Steelmaking Technology Engineering Research Center, Northeastern University, Shenyang, 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