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.
76
days
Terrestrial Ecosystem Detection Based on Deep Learning Framework and Satellite Image Geographical Information
Authors
Liang Dong; Fan Lei; Dongliang Huang; Yuye Gong; Jide Wei; Wenjing SheShow moreShow less
Affiliations
1. Hunan Vocational College of Engineering Changsha China; 2. Key Laboratory of Natural Resources Monitoring and Supervision in Southern Hilly Region, Ministry of Natural Resources Changsha China; 3. Hunan Second Surveying and Mapping Institute Changsha China; 4. Hunan Engineering Research Center of 3D Real Scene Construction and Application Technology Changsha ChinaShow moreShow less
162
days
A Harmonized Landsat–Sentinel‐2 Burned‐Area Product for the Pantanal (2014–2024), Based on Multitemporal Composites
Authors
Liz B. C. Belém; Allan A. Pereira; Fabiano Morelli; Renata LibonatiShow moreShow less
Affiliations
1. Departamento de Meteorologia Universidade Federal do Rio de Janeiro Rio de Janeiro Brazil; 2. Instituto Federal de Educação, Ciência e Tecnologia do Sul de Minas Gerais Muzambinho Brazil; 3. Instituto Nacional de Pesquisas Espaciais (INPE) São Paulo Brazil; 4. Instituto Dom Luiz, Faculdade de Ciências Universidade de Lisboa Lisboa PortugalShow 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