Paper Review Records
All Paper Review Records
10 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.
84
days
Effects of compressibility and Atwood number on the instability growth of two-dimensional buoyancy-driven shear layers
Authors
Hutson Staggs; Ahmet Kula; Denis AslangilShow moreShow less
Affiliations
1. The University of Alabama; 2. Colorado School of MinesShow moreShow less
97
days
Characterisation of the density, shape, and orientation of three-dimensional vortices in turbulent channel flow
Authors
Huai Chen; Huilan Zhang; Kai Zhang; Nairu Wang; Lijun ZhuShow moreShow less
Affiliations
1. Tsinghua University; 2. Nanjing Hydraulic Research Institute; 3. Hohai University; 4. Changjiang River Scientific Research Institute; 5. Beijing Forestry UniversityShow moreShow less
81
days
A priori assessment of rotational invariance in multiscale convolutional neural network-based subgrid-scale model for wall-bounded turbulent flows
Authors
Bahrul Jalaali; Kie OkabayashiShow moreShow less
Affiliations
1. The University of OsakaShow moreShow less
75
days
Analog-based ensembles to characterise turbulent dynamics from observed data
Authors
Carlos Granero-BelinchónShow moreShow less
Affiliations
1. IMT Atlantique, Lab-STICC, UMR CNRS 6285; 2. Odyssey, Inria/IMT AtlantiqueShow 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