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.
Environmental Sciences & Ecology
Environmental Sciences & Ecology
Paper Review Records
All Paper Review Records
15 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.
93
days
A Sequence‐to‐Sequence Approach for Short‐Term Temperature Prediction With Data Decomposition and Reconstruction
Authors
Baohe Liu; Jing Sha; Ruonan Liu; Lu Wang; Wenjuan LianShow moreShow less
Affiliations
1. College of Computer Science and Engineering Shandong University of Science and Technology Qingdao ChinaShow moreShow less
96
days
A Model for Quota Prices in the Norwegian Groundfish Fishery
Authors
Sturla KvamsdalShow moreShow less
Affiliations
1. SNF – Centre for Applied Research Bergen NorwayShow moreShow less
145
days
Mathematical Modeling of Forest Biomass Dynamics: A Focus on Seedling Contribution in Case of Wonsho Woreda (Kileye and Gishere), Sidama Regional State, Ethiopia
Authors
Shegena Geshele Donka; Mohammed Yiha Dawed; Kiros Gebrearegawi KebedowShow moreShow less
Affiliations
1. Department of of Mathematics Hawassa University Hawassa EthiopiaShow 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