CrushSCI.com
107.0Average days
90Median days
34Fastest days
411Longest days
4192025 publications

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.

150 days

Artificial Intelligence in Ischemic Stroke Lesion Segmentation: A Narrative Review of Deep Learning Methods, Clinical Utility, and Future Directions

Authors
Taofeeq Oluwatosin Togunwa; Theophilus Olayiwola; Halleluyah Darasinmi Oludele; Oluwatosin E. Fatade; Adesola Adepoju; Ayomide Adeyemi; Michael M. Haglund; Bradley J. Kolls; Godwin I. Ogbole; Alvan-Emeka K. UkachukwuShow moreShow less
Affiliations
1. Department of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, USA; 2. Michigan Institute for Data and AI in Society, University of Michigan, Ann Arbor, USA; 3. College of Medicine, University of Ibadan, Ibadan, Nigeria; 4. Department of Radiology, University College Hospital, Ibadan, Nigeria; 5. Department of Neurosurgery, Duke University Health System, Durham, USA; 6. Duke Global Health Institute, Durham, USA; 7. Duke Global Neurosurgery and Neurology, Durham, USA; 8. Department of Neurology, Duke University Health System, Durham, USA; 9. Department of Radiology, University of Ibadan, Ibadan, NigeriaShow 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.