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.
340
days
Optimizing Non-invasive Fractional Flow Reserve Estimation with Machine Learning-Enhanced 1D Hemodynamic Modeling
Authors
Cyrus Tanade; Japneet Kaur Mavi; Guinevere Ferreira; Sam Schwaller; Amanda RandlesShow moreShow less
Affiliations
1. Department of Biomedical Engineering, Duke University, Durham, USAShow moreShow less
161
days
Mathematical Modeling of Photoplethysmography: Model Assessment and Validation
Authors
Adrien Lefieux; Justine Daraize; Fabien Vergnet; Marina Vidrascu; Marie Willemet; Aniss Bendjoudi; Damiano Lombardi; Miguel A. FernándezShow moreShow less
Affiliations
1. Sorbonne Université, CNRS, LJLL, Inria, Paris, France; 2. Withings SAS, Issy-les-Moulineaux, FranceShow moreShow less
191
days
Personalized Deep Networks for Enhanced ECG Segmentation
Authors
Maylon Pereira Folli; Gabriel Tozatto Zago; Stephanie Rezende Alvarenga Moulin Mares; Rodrigo Varejão AndreãoShow moreShow less
Affiliations
1. Electric Engineering Department, Federal Institute of Espírito Santo, Vitória, Brazil; 2. Automation and Control Engineering Department, Federal Institute of Espírito Santo, Serra, Brazil; 3. MD, Hospital Naval de Brasília, Brasília, BrazilShow 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