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.
303
days
Unearthing implicit biases: a scenario-based evaluation of open-source LLMs
Authors
Yuan Yao; Liu Hao; He Rong; Wu Dan; Xueqin ZhaoShow moreShow less
Affiliations
1. School of Computer Science and Engineering, Wuhan Institute of Technology , ,; 2. Hubei Province Key Laboratory of Intelligent Robots, Wuhan Institute of Technology , ,; 3. Wuhan Institute of Technology , ,; 4. Wuchang Institute of Technology , ,; 5. Hubei University , ,Show moreShow less
185
days
From unstructured reviews to managerial knowledge: a text mining framework for analyzing dynamic customer priorities in e-commerce
Authors
Mingming Zhai; Zhe HuangShow moreShow less
Affiliations
1. Shenyang Pharmaceutical University , ,Show moreShow less
276
days
Intent, impact and integrity: clarifying fake data and information in digital systems
Authors
Mariam Elhussein; Samiha Brahimi; Reem Osman; Suhier ElfakiShow moreShow less
Affiliations
1. Faculty of Science and Technology, Mount Royal University , ,; 2. University of Lethbridge – Calgary Campus , ,; 3. College of Science, Imam Abdulrahman Bin Faisal University , ,; 4. College of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University , ,Show 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