CrushSCI.com
403.9Average days
349Median days
101Fastest days
915Longest days
682025 publications

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.

230 days

A meta-analysis of 50 years of work centrality research: Antecedents, consequences, and boundary conditions

Authors
Su Cui; Rui Han; Yina Mao; Yan LiuShow moreShow less
Affiliations
School of Business, Nanjing University, Nanjing, 210008, China; School of Economics and Management, Wuhan University, Wuhan, 430072, ChinaShow moreShow less
Source PDF DOI Publisher page
231 days

Development of career wisdom: A time-lagged examination of the role of MORE resources

Authors
Hui XuShow moreShow less
Affiliations
Department of Psychology, University of Macau, MacauShow moreShow less
Source PDF DOI Publisher page
398 days

The rise and fall of AI's benefits: Investigating the curvilinear relationship between employee-AI collaboration and successful aging at work

Authors
Mingyan Han; Jingyou ZhaoShow moreShow less
Affiliations
Business School, Nanjing Normal University, Nanjing, China; College of Business Administration, Shandong Technology and Business University, Yantai, ChinaShow moreShow less
Source PDF DOI Publisher page

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.

We will reply within 30 minutes.

CrushSCI online

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

SampleLatest 5 valid paper samples from 2026

Average review62 days

Median65 days

Contact CrushSCI

Contact CrushSCI

Leave your email address to discuss academic polishing, structural refinement, or one-to-one guidance.

We will reply within 30 minutes.

Selected service: Academic Consulting Service

Leave your email address

Or email us directly at [email protected]

Enter your email address so we can reply. Your details will remain private.