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.
134
days
A theoretical analysis on quantum memory parameters in ultracold \(^{87}\) Rb and \(^{133}\) Cs alkali species using EIT protocol in the presence of structured light
Authors
Dixith Manchaiah; Rohit Kumar; Raghavan K. EaswaranShow moreShow less
Affiliations
1. Department of Physics, Indian Institute of Technology Patna, Patna, IndiaShow moreShow less
137
days
A hybrid algorithm to solve linear systems of equations with limited qubit resources
Authors
Fang Gao; Guojian Wu; Mingyu Yang; Wei Cui; Feng ShuangShow moreShow less
Affiliations
1. Guangxi Key Laboratory of Intelligent Control and Maintenance of Power Equipment, Guangxi University, Nanning, China; 2. School of Automation Science and Engineering, South China University of Technology, Guangzhou, ChinaShow moreShow less
170
days
Darwinian standard model of physics obtains general relativity
Authors
Nicolas LoriShow moreShow less
Affiliations
1. Centre Algoritmi, University of Minho, Braga, PortugalShow moreShow less
224
days
A novel qutrit representation of quantum image
Authors
Hao Dong; Dayong Lu; Chan LiShow moreShow less
Affiliations
1. School of Mathematics and Statistics, Henan University, Kaifeng, ChinaShow 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