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.
80
days
Implicit integration of a Mixture of Experts neural network surrogate elasto-viscoplastic constitutive model of HT9 steel in a finite element framework: Verification, comparative assessment, and validation
Authors
K.M. Zaheen Nasir; Giang D. Huynh; Benjamin W. Spencer; Laurent Capolungo; Wen JiangShow moreShow less
Affiliations
Department of Nuclear Engineering, North Carolina State University, Raleigh, NC 27695, USA; Computational Mechanics & Materials Department, Idaho National Laboratory, Idaho Falls, ID 83415, USA; MST-8, Los Alamos National Laboratory, Los Alamos, NM 87544, USAShow moreShow less
100
days
A virtual fiber finite element framework for predicting the tensile behavior of twisted yarns with fiber property variability
Authors
Kourosh Sayar Dogahe; Ruochen Zheng; Wim Van Paepegem; Lode DaelemansShow moreShow less
Affiliations
Ghent University, Centre for Textile Science and Engineering (CTSE), Department of Materials, Textiles and Chemical Engineering (MaTCH), Technologiepark-Zwijnaarde 70 A, 9000, Ghent, Belgium; Ghent University, Mechanics of Materials and Structures (MMS), Department of Materials, Textiles and Chemical Engineering (MaTCH), Technologiepark-Zwijnaarde 46, 9000, Ghent, Belgium; FlandersMake@UGent-MIRO, 9000, Ghent, BelgiumShow moreShow less
42
days
A topology-agnostic embedded element method for mixed-dimensional coupling via node-based kinematic reconstruction
Authors
Weijie Zhang; Yiding Li; Qianqian Kou; Xi Zou; Xueliang Xiao; Ying Yan; Shibo YanShow moreShow less
Affiliations
School of Aeronautic Science and Engineering, Beihang University, Beijing, 100191, China; Department of Aerospace Engineering, Swansea University, Swansea, SA1 8EN, United Kingdom; Key Laboratory of Eco-textiles, Ministry of Education, Jiangnan University, Wuxi, 214122, ChinaShow 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