AI-Powered Academic Paper Generation Using External Databases - n8n Workflow

• Academic researchers and Ph.D. students needing accelerated paper drafting.


• Technical content teams requiring detailed, cited reports.


• n8n automation specialists looking for advanced AI use cases.


• Users leveraging the Qwen-Max model for complex, long-form content generation.

Generating a well-researched academic paper, complete with proper citations, is time-consuming. This specialized n8n workflow solves this challenge by blending real-time literature search with advanced AI generation. Triggered by a title and abstract, this powerful automation simultaneously queries major academic databases (CrossRef, Semantic Scholar, and OpenAlex) to gather current, relevant references. The subsequent steps use a language model (Qwen-Max via OpenRouter) to write six distinct, citation-heavy sections—from Introduction to Conclusion—ensuring academic rigor and APA citation format. This complex n8n template showcases how to integrate multiple external APIs and AI services into a single, cohesive research assistant.

The process begins when the n8n trigger, a Webhook node, receives a POST request containing the desired paper title and abstract.

1. Input and Search: The Extract Input Data node captures the input, which immediately initiates parallel searches across three academic APIs (Search CrossRef, Search Semantic Scholar, Search OpenAlex).


2. Reference Processing: The results are combined by a Merge n8n node and passed to the Process References Code n8n node. This custom script standardizes the diverse API responses, de-duplicates them based on title, and prepares a clean, citable list of up to 35 unique references.


3. Context Preparation: The Prepare AI Context node bundles the title, abstract, and the processed reference list, creating the necessary context for the AI.


4. Sequential AI Generation: A sequence of six LangChain Agent nodes, powered by the Qwen-Max model via OpenRouter, autonomously generates each section of the paper (Introduction, Literature Review, Methodology, Results, Discussion, Conclusion). Crucially, the system message for each generation step demands proper in-text APA citation using the provided reference list.


5. Compilation: The results of the six AI sections are collected by the Merge All Sections node. Finally, the Compile Document Code n8n node assembles the full paper, formats the gathered references into a complete bibliography, and calculates the total word count, providing a cohesive final document via the initial webhook response. This complex n8n workflow demonstrates robust AI orchestration.

To deploy this comprehensive n8n workflow, follow these steps:

1. Import: Copy the provided JSON data and paste it into your n8n instance using the 'New' -> 'Import from JSON' option.


2. Webhook Setup: Activate the Webhook n8n trigger. Note the production webhook URL path (/generate-paper).


3. Credentials:

1. Testing: Execute the n8n workflow manually or by sending a POST request containing 'title' and 'abstract' fields to the configured webhook URL.

Webhook n8n Trigger: Starts the process upon receiving a POST request to /generate-paper. It serves as the primary n8n trigger for the entire automation.
Extract Input Data (Set n8n node): Extracts the title and abstract from the incoming webhook payload, making them available for subsequent nodes.
Search CrossRef / Semantic Scholar / OpenAlex (HTTP Request n8n nodes): These run in parallel to query academic APIs for relevant literature using the input title. This provides the necessary citation material for the AI generation steps.
Process References (Code n8n node): Essential custom scripting to clean, normalize, and de-duplicate the reference data from the three sources, ensuring the AI receives a usable list for in-text citations.
AI - Introduction / Literature Review / Methodology / Results / Discussion / Conclusion (LangChain Agent n8n nodes): Six sequential AI nodes that generate the main body of the paper. Each n8n node uses Qwen-Max via OpenRouter, guided by extremely specific system prompts demanding detailed, cited academic content.
Compile Document (Code n8n node): This final step in the n8n workflow combines the output from all preceding AI stages and the formatted references into a single, cohesive journal article structure.