Qwen-Max: journal paper generation from title/abstract

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

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...

Best for

Content Creation automation workflows
Multimodal AI automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.webhook, n8n-nodes-base.set, n8n-nodes-base.httprequest, n8n-nodes-base.merge, n8n-nodes-base.code, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatopenrouter, n8n-nodes-base.stickynote

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Cheng Siong Chin.

Original n8n.io source

1.1 Workflow description

Title: Qwen-Max: journal paper generation from title/abstract
Workflow name: 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

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

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Webhook

Type / Role: n8n-nodes-base.webhook - webhook
Config choices: Version 2

Block 2 - Extract Input Data

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 3 - Search CrossRef

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 4 - Search Semantic Scholar

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 5 - Search OpenAlex

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 6 - Merge Reference Sources

Type / Role: n8n-nodes-base.merge - merge
Config choices: Version 3

Block 7 - Process References

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 8 - Prepare AI Context

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 9 - AI - Introduction

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 1.7

Block 10 - AI - Literature Review

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 1.7

Block 11 - AI - Methodology

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 1.7

Block 12 - AI - Results

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 1.7

Block 13 - AI - Discussion

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 1.7

Block 14 - AI - Conclusion

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 1.7

Block 15 - Merge All Sections

Type / Role: n8n-nodes-base.merge - merge
Config choices: Version 3

Block 16 - Compile Document

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 17 - OpenRouter Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenRouter - lmChatOpenRouter
Config choices: Version 1

Block 18 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 19 - Sticky Note1

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

3. Summary Table

Workflow	Qwen-Max: journal paper generation from title/abstract
Complexity	advanced
Nodes	19
Categories	Content Creation, Multimodal AI
Author	Cheng Siong Chin
Published	30 Oct 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/10314/10314.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Content Creation workflows Multimodal AI workflows

Frequently asked questions

What does Qwen-Max: journal paper generation from title/abstract do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Content Creation, Multimodal AI use case.

Cheng Siong Chin

203 workflows

Nodes

n8n-nodes-base.webhook n8n-nodes-base.set n8n-nodes-base.httprequest n8n-nodes-base.merge n8n-nodes-base.code @n8n/n8n-nodes-langchain.agent @n8n/n8n-nodes-langchain.lmchatopenrouter n8n-nodes-base.stickynote

Complexity

advanced

Published 30 Oct 2025

Likes 0

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Install path: /data/workflows/10314/10314.json

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Qwen-Max: journal paper generation from title/abstract

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Introduction

How It Works

Workflow Template

Workflow Steps

Setup Instructions

Prerequisites

Customization

Benefits

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Webhook

Block 2 - Extract Input Data

Block 3 - Search CrossRef

Block 4 - Search Semantic Scholar

Block 5 - Search OpenAlex

Block 6 - Merge Reference Sources

Block 7 - Process References

Block 8 - Prepare AI Context

Block 9 - AI - Introduction

Block 10 - AI - Literature Review

Block 11 - AI - Methodology

Block 12 - AI - Results

Block 13 - AI - Discussion

Block 14 - AI - Conclusion

Block 15 - Merge All Sections

Block 16 - Compile Document

Block 17 - OpenRouter Chat Model

Block 18 - Sticky Note

Block 19 - Sticky Note1

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions