Paper Review Records
All Paper Review Records
21 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.
648
days
Optimized federated deep reinforcement learning with trust-aware blockchain security in underwater IoT networks
Authors
G. A. Senthil; R. Renuka Devi; R. Prabha; L. SharmilaShow moreShow less
Affiliations
1. Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, India; 2. School of Computer Science and Engineering, Vit University - Chennai Campus, Chennai, India; 3. Department of Electronics and Communication Engineering, Sri Sairam Institute of Technology, Chennai, India; 4. Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, IndiaShow moreShow less
200
days
Design and assessment of an innovative hybrid encryption model for safe cloud storage: an emphasis on performance
Authors
Bhagyashree Sunil Patil; Pooja SapraShow moreShow less
Affiliations
1. Department of Computer Science and Engineering, Parul University, Vadodara, India; 2. Associate Professor and Head of Department, Department of Information Technology, Parul University, Vadodara, IndiaShow moreShow less
473
days
Rad- \({2}^{2}\) Beetle: an enhanced lightweight hash function for resource-constrained environments in blockchain technology
Authors
V. Akshaya Keerthi; V. VijayalakshmiShow moreShow less
Affiliations
1. Department of Electronics and Communication Engineering, Puducherry Technological University, Puducherry, IndiaShow 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