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Review Cycle Records

Innovation in Language Learning and Teaching

Taylor & Francis SSCI Non-OA
2026 Emerging Zone 22025 CAS Zone 32025 JCR Q1
152.9Average days
120Median days
50Fastest days
440Longest days
1602025 publications

Paper Review Records

All Paper Review Records

14 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.

440 days

How do emotions shape L2 speaking task performance? A trait-state approach to anxiety, enjoyment, and boredom

AuthorsChenxin Li; Peijian Paul Sun

Affiliations1. Zhejiang University

Source PDF DOI Publisher page
118 days

Measuring subjective family capital and examining its role in informal digital learning of English in China

AuthorsGuangxiang Leon Liu; Xian Zhao

Affiliations1. Southeast University; 2. Nanjing University

Source PDF DOI Publisher page
50 days

L2 grit in multimodal generative AI-Enhanced classes: unveiling the role of DeepSeek-V3 in shaping English learners’ passion and perseverance

AuthorsFakieh Alrabai; Ali Derakhshan

Affiliations1. King Khalid University; 2. Golestan University

Source PDF DOI Publisher page
93 days

Reconceptualising innovation in EMI: GenAI as a translanguaging space

AuthorsAbbas Hadizadeh; Emre Debreli

Affiliations1. Cyprus International University

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.

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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 review96.4 days

Median77 days

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