Paper Review Records
All Paper Review Records
20 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.
34
days
A Bioinspired Flexible Pressure Sensor with Rigid–Flexible Coupling Featuring Simple Fabrication, Wide Pressure Range, and High Sensitivity
Authors
Zhen Tang; Xingze Chen; Xin Wang; Yangfan Yang; Shanhong Tang; Linpeng LiuShow moreShow less
Affiliations
1. School of Automotive and Energy, Xiangtan Institute of Technology, Xiangtan 411100, China; 2. State Key Laboratory of Precision Manufacturing for Extreme Service Performance, College of Mechanical and Electrical Engineering, Central South University, Changsha 410083, ChinaShow moreShow less
137
days
IPA-ANN: A Novel Framework for Optimizing Artificial Neural Network Weights and Biases Using Immune Plasma Algorithm
Authors
Sercan Demirci; Durmuş Özkan Şahin; Gülcan Yıldız; Doğan Yıldız; Samad HasanlıShow moreShow less
Affiliations
1. Department of Computer Engineering, Faculty of Engineering, Ondokuz Mayıs University, Atakum, Samsun 55139, Turkey; 2. Department of Electrical and Electronics Engineering, Faculty of Engineering, Ondokuz Mayıs University, Atakum, Samsun 55139, Turkey; 3. Department of Computer Engineering, Institute of Graduate Studies, Ondokuz Mayıs University, Atakum, Samsun 55139, TurkeyShow 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