CrushSCI.com
112.5Average days
108Median days
41Fastest days
211Longest days
2342025 publications

Paper Review Records

All Paper Review Records

19 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.

211 days

Distribution Network Fault Detection and Classification Using an Improved S‐Transform and a Modified Convolutional Neural Network

Authors
Fei Xiao; Rui Li; Hui Wang; Chunfang Zheng; Youya Shang; Qian AiShow moreShow less
Affiliations
1. College of Altitude Equipment and Intelligent Control Guangzhou Maritime University Guangzhou China; 2. Department of Electrical Engineering Shanghai Jiaotong University Shanghai ChinaShow moreShow less
Source PDF DOI Publisher page

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.

We will reply within 30 minutes.

CrushSCI online

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

SampleLatest 5 valid paper samples from 2026

Average review62 days

Median65 days

Contact CrushSCI

Contact CrushSCI

Leave your email address to discuss academic polishing, structural refinement, or one-to-one guidance.

We will reply within 30 minutes.

Selected service: Academic Consulting Service

Leave your email address

Or email us directly at [email protected]

Enter your email address so we can reply. Your details will remain private.