
Using Codex to Complete an SCI Review From 0 to 1 is a practice course designed around the full AI-assisted SCI literature-review flow. Starting from GPT-account prep and Codex install/login, it gradually leads students through the complete SCI-review workflow from topic to submission and revision. It first initializes the SCI project, learning to generate professional literature search strings, search and export related papers, use AI to analyze the research direction, identify research gaps, and build a high-quality benchmark-review library for deep learning. In the literature-management stage it focuses on Zotero import, literature-PDF acquisition and AI close-reading, raising material-organization and reading efficiency. In the formal writing stage it teaches review-framework building, image layout, chart citation, and writing chapter 1, chapter 2 and the rest step by step. After the draft, it teaches target-journal screening, deep journal analysis, full-text polishing, image-citation permission applications, Cover-Letter writing and SCI submission. Finally it extends to handling and replying to reviewer comments post-submission, forming the full flow: project initialization, literature search, topic and research ...
This course comes with a materials pack. Members receive the access link by email after requesting the course.