Qwen-Max: Journal Paper Generation from Title/Abstract

Introduction

Generates complete scientific papers from title and abstract using AI. Designed for researchers, automating literature search, content generation, and citation formatting.

How It Works

Extracts input, searches academic databases (CrossRef, Semantic Scholar, OpenAlex), merges sources, processes citations, generates AI sections (Introduction, Literature Review, Methodology, Results, Discussion, Conclusion), compiles document.

Workflow Template

Webhook → Extract Data → Search (CrossRef + Semantic Scholar + OpenAlex) → Merge Sources → Process References → Prepare Context → AI Generate (Introduction + Literature Review + Methodology + Results + Discussion + Conclusion via OpenAI) → Merge Sections → Compile Document

Workflow Steps

1. Input & Search: Webhook receives title/abstract; searches CrossRef, Semantic Scholar, OpenAlex; merges and processes references
2. AI Generation: OpenAI generates six sections with in-text citations using retrieved references
3. Assembly: Merges sections; compiles formatted document with reference list

Setup Instructions

1. Trigger & APIs: Configure webhook URL; add OpenAI API key; customize prompts
2. Databases: Set up CrossRef, Semantic Scholar, OpenAlex API access; configure search parameters

Prerequisites

OpenAI API, CrossRef API, Semantic Scholar API, OpenAlex API, webhook platform, n8n instance

Customization

Adjust reference limits, modify prompts for research fields, add citation styles (APA/IEEE), integrate databases (PubMed, arXiv), customize outputs (DOCX/LaTeX/PDF)

Benefits

Automates paper drafting, comprehensive literature integration, proper citations