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SCI Journal Matcher Sr v2.0

Made by
FFei Fei
Installed by
20
CategoryWrite
FromYouMind

Showcase

Description

Like a senior consultant, precisely match journals to maximize your paper's acceptance rate. Data-driven evaluation ensures your research reaches the target journal directly, avoiding blind submission risks. Input your abstract, then select submission type: original/review/systematic review, OA/APC, time constraints, and prohibited journal options.

Editor's Recommendation

Why we love this skill

This skill stands out with its unique 'dual-track scoring' and 'circuit breaker rule'. It not only ensures high acceptance rates but also provides researchers with an extremely pragmatic journal matching strategy through data-driven analysis.

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Journal Needs & Topic Planning

Enter the target journal, source material (such as CNKI bibliographic records or several full-text articles), and your research area. The Skill first builds a journal needs profile using the “three-step demand distillation method” (explicit material → deeper identification → needs profile), then works backward from “potential–form–terms” and the “five-step topic selection method” to develop candidate topics and match them to the journal’s “four-step framework.” It ultimately develops a submission-ready plan including a proposed title, abstract, keywords, Chinese Library Classification number, document code, JEL classification, section-by-section outline, and source-material checklist. After the analysis, it separately produces three independent documents: Comprehensive Journal Analysis, Column Analysis, and Topic Analysis. Two modes are supported: 1) Journal analysis only (build the profile without presupposing research content); 2) Targeted topic development (the full workflow). User constraints are supported, such as using only public data, excluding certain angles, or working without internal materials. The Skill pauses for confirmation at each step and maintains a progress ledger to support resuming across sessions.

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Information

Version
v2
Last updated
Runtime credits
Usage-based
Models
Auto

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SCI Journal Matcher Sr v2.0