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.
179
days
Compressing fully connected layers of deep neural networks using permuted features
Authors
Dara Nagaraju; Nitin ChandrachoodanShow moreShow less
Affiliations
1. Electrical Engineering Indian Institute of Technology Madras Chennai IndiaShow moreShow less
216
days
Verification of serialising instructions for security against transient execution attacks
Authors
Kushal K. Ponugoti; Sudarshan K. Srinivasan; Nimish MathureShow moreShow less
Affiliations
1. Electrical and Computer Engineering North Dakota State University Fargo North Dakota USAShow moreShow less
143
days
Residual vulnerabilities to power side channel attacks of lightweight ciphers cryptography competition finalists
Authors
Aurelien T. Mozipo; John M. AckenShow moreShow less
Affiliations
1. Department of Electrical and Computer Engineering Portland State University and Intel Corporation Portland Oregon USA; 2. Department of Electrical and Computer Engineering Portland State University Portland Oregon USAShow moreShow less
274
days
Efficient implementation of low cost and secure framework with firmware updates
Authors
Ines Ben Hlima; Halim Kacem; Ali GharsallahShow moreShow less
Affiliations
1. Faculty of Sciences of Tunis Tunis TunisiaShow 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