\nWriting an SCI review often consumes huge time on literature gathering, screening/reading, mapping research threads, building the article framework, polishing, submission and revision. Many grad students and researchers face pain points: inefficient literature search that can't precisely identify research gaps; a huge volume of literature making close reading exhausting; a review framework that's hard to build with prose not meeting foreign-journal norms; and many steps from chart citation, journal choice and cover-letter writing to replying to reviewers, full of pitfalls. Use Codex to Complete an SCI Review From 0 to 1 (2026) fully combines AI agent tools with review research writing. Starting from GPT-account config and Codex install/login/deployment, it follows the real SCI-review research chain: project initialization, search-string generation, batch literature search/export, mining research gaps, building a benchmark-review library, connecting Zotero to batch-get PDFs, then literature close reading, framework building, chapter-by-chapter full-text generation, chart layout/citation, journal matching, deep manuscript polishing, image copyright application, Cover-Letter writing, submission, and reviewer-comment replies - achieving full-flow practice teaching from a review's zero-conception to finished revision material. Videos: preface - GPT registration/upgrade, Codex install/login (tutorial); L1 prep 1; L2 prep 2; L3 SCI project initialization usage tutorial; L4 ...
This course comes with a materials pack. Members receive the access link by email after requesting the course.