Paper Review Records
All Paper Review Records
15 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.
49
days
CNN-transformer hybrid deep learning method for suppressing interference fringe noise
Authors
Zhongfei Zhang; Guangfen Wei; Wenke LiangShow moreShow less
Affiliations
1. School of Information and Electronic Engineering, Shandong Technology and Business UniversityShow moreShow less
30
days
Utility of air-assist rapidly synergistic cloud point extraction for ultra-trace determination of zirconium in food and environmental samples
Authors
Salhah D. Al-Qahtani; Ghadah M. Al-Senani; Muneera Alrasheedi; Alaa M. Younis; Alaa S. AminShow moreShow less
Affiliations
1. Department of Chemistry, College of Science, Princess Nourah bint Abdulrahman University; 2. Depart. Chem., College of Science, Qassim University; 3. Chemistry Department, Faculty of Science, Benha UniversityShow moreShow less
53
days
Development and validation of a UV spectrophotometric method for baicalin quantification in QbD-assisted Symplocos racemosa extract and nano-transferosomal gel: greenness and whiteness assessment
Authors
Sheetal Patil; Archana Patil; Krutuja ChouguleShow moreShow less
Affiliations
1. Department of Pharmaceutics, KLE College of Pharmacy, KLE Academy of Higher Education and ResearchShow 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