CrushSCI reveals real review times for each journal, giving authors transparent guidance for submission. As AI makes publishing increasingly challenging, the platform helps authors improve submission efficiency. Contact us if you need assistance.
Sociology
Sociology
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Review Cycle Records
East Asian Science Technology and Society-An International Journal
Paper Review Records
All Paper Review Records
9 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.
534
days
Two Tales of Long-term Collaboration: Social Scientific Involvement in Artificial Intelligence in Japan and Synthetic Biology in the UK
Authors
Arisa Ema; Jane CalvertShow moreShow less
Affiliations
1. Tokyo College, University of Tokyo; 2. University of EdinburghShow moreShow less
478
days
Legacies of the Old Empire: The Formation of Aviation and Industrial Medicine in 1950–1960s South Korea and the Dis/Continuity of the Korea–Japan Knowledge Network
Authors
Seungmann ParkShow moreShow less
Affiliations
1. College of Medicine, The Catholic University of KoreaShow moreShow less
605
days
Visual Communication of Biomedical Information to Non-specialist Stakeholders: A Taiwanese Case Study
Authors
Yin Chung AuShow moreShow less
Affiliations
1. National Cheng Kung UniversityShow 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