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PR&AI Peer Review Process Guide

brycewang-stanfordbybrycewang-stanford
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学习与文档

Models the end-to-end peer review workflow for the Pattern Recognition and Artificial Intelligence journal to help authors optimize submission outcomes.

The PR&AI Peer Review Process skill provides a structured roadmap of the entire peer review pipeline for the journal 'Pattern Recognition and Artificial Intelligence' (PR&AI / 《模式识别与人工智能》). It details critical checkpoints from initial editorial screening (format, length, plagiarism) and expert peer review to multi-round revisions and final editorial decisions. Authors gain strategic insights into rejection triggers, timeline expectations (including official 6-month resolution policies), and actionable levers to address reviewer feedback and ensure publication success.

主要功能

01Author leverage guidelines for expert peer review and response letters
02Comprehensive breakdown of common desk-reject and revision triggers
03Pre-submission self-assessment checklists for rigorous validation
04Full-pipeline review stage mapping from desk review to final decision
051,086 GitHub stars
06Official timeline management and over-period inquiry protocols

使用场景

01Planning submission timelines and managing official journal editorial communications
02Navigating major and minor revisions for PR&AI journal submissions
03Diagnosing desk rejection risks before submitting academic AI manuscripts