Paper Review Records
All Paper Review Records
25 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.
90
days
A Physics‐Informed Neural Network for Predicting Two‐Dimensional Species Concentrations in a Magnetic Field‐Stabilized Atmospheric Pressure Glow Discharge
Authors
Xueqing Zhao; Xiaohan Teng; Erqi Wu; Zhiyu Li; Jialin Liu; Lanlan Nie; Ali Mesbah; Xinpei LuShow moreShow less
Affiliations
1. School of Electrical and Electronic Engineering Huazhong University of Science and Technology Wuhan Hubei China; 2. Department of Chemical and Biomolecular Engineering University of California Berkeley Berkeley California USAShow 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