PR&AI Paper Topic Selection
Evaluates research topics, novelty deltas, and journal scope alignment for the Pattern Recognition and Artificial Intelligence (PR&AI) journal.
PR&AI Paper Topic Selection helps academic researchers assess whether their AI, machine learning, computer vision, or pattern recognition paper aligns with the editorial scope of the Chinese CCF-B journal 《模式识别与人工智能》(Pattern Recognition and Artificial Intelligence). It provides a structured evaluation framework to verify research delta against existing literature, determines suitable manuscript categories (research paper, survey, or special issue), checks boundaries against related sister journals like Acta Automatica Sinica or Journal of Software, and scores overall submission viability to avoid desk rejections.