Qwen-Max: Journal Paper Generation from Title/Abstract

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Built by Cheng Siong Chin Cheng Siong Chin
Created on June 05, 2026

Description

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
Input & Search: Webhook receives title/abstract; searches CrossRef, Semantic Scholar, OpenAlex; merges and processes references
AI Generation: OpenAI generates six sections with in-text citations using retrieved references
Assembly: Merges sections; compiles formatted document with reference list
Setup Instructions
Trigger & APIs: Configure webhook URL; add OpenAI API key; customize prompts
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

Nodes Used (4)

AI Agent
@n8n/n8n-nodes-langchain.agent
Code
n8n-nodes-base.code
HTTP Request
n8n-nodes-base.httpRequest
OpenRouter Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenRouter