Writing an SCI review often consumes a great deal of time on literature search, screening and reading, organizing research threads, building the article framework, manuscript polishing, and submission and revision. Many graduate students and researchers face pain points: literature search is inefficient, making it hard to precisely identify research gaps in the field; the sheer volume of literature makes intensive reading and organization highly labor-intensive; the logical framework of a review is difficult to build, and the writing style does not conform to foreign journal standards; and the entire process—from figure and table citation, journal selection, and writing a cover letter to responding to reviewer comments—involves many steps and pitfalls.

"Use Codex to Write an SCI Review from 0 to 1 2026" fully integrates AI agent tools with review research writing. The course starts with GPT account setup and Codex installation, login, and deployment, then follows the complete research workflow of a real SCI review: project initialization, search query generation, batch literature search and export, mining research gaps, building a literature benchmarking library, connecting with Zotero for batch PDF retrieval, and then intensive literature reading, review framework construction, chapter-by-chapter full-text generation, figure and table layout and citation, journal matching, in-depth manuscript polishing, image copyright application, cover letter writing, submission operations, and responding to reviewer comments—providing full-process hands-on instruction from initial conception to completing revision materials for a review.

The course does not simply teach AI to generate text; rather, it uses AI agents as research assistance tools to train researchers to control topic selection logic, literature quality, and academic rigor. Through systematic learning, you will master a reusable AI-assisted review workflow, significantly reducing the time cost of literature processing and manuscript writing, and doubling research output efficiency. Whether you are a master's or doctoral student struggling with a review or a young faculty member hoping to improve research efficiency, this course provides a complete and actionable solution.

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• 1.Preface: GPT registration and upgrade, and Codex installation and login
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• 2.Preparation Before Starting 1
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• 3.Preparation Before Starting 2
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• 4.SCI project initialization tutorial
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• 5.SCI search query generator tutorial
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• 6.SCI literature search and export tool tutorial
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• 7.SCI topic selection and research-gap identification tutorial
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• 8.Tutorial on building an SCI review benchmarking library and deep learning
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• 9.SCI topic selection and research-gap identification tutorial
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• 10.Import SCI literature into Zotero and retrieve PDFs (P1)
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• 11.Import SCI literature into Zotero and retrieve PDFs (P2)
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• 12.Import SCI literature into Zotero and retrieve PDFs (P3)
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• 13.Importing SCI into Zotero and Retrieving Literature PDFs (P4)
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• 14.SCI Literature Intensive Reader Tutorial
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• 15.Tutorial on Building a Literature Review Framework
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• 16.SCI Review Image Layout and Figure Citation Tool (P1)
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• 17.SCI Review Image Layout and Figure Citation Tool (P2)
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• 18.Tutorial on Using the SCI Review Full-Text Chapter 1 Writer
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• 19.Tutorial on Using the SCI Review Full-Text Chapter 2 Writer
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• 20.Tutorial on Using the SCI Review Subsequent Full-Text Writer
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• 21.Tutorial on Using the SCI Target Journal Selector
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• 22.Tutorial on Using the SCI Target Journal Deep Learning Tool
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• 23.Tutorial on Using the SCI Review Deep Polishing Tool
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• 24.Tutorial on Using the SCI Image Citation Permission Application Tool
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• 25.Tutorial on Using the Cover Letter Writer
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• 26.Tutorial on Using the SCI Submission Guide
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• 27.Tutorial on Using the Reviewer Response Tool (Final)
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