Academic Research

Overview

The Academic Research skill enables AI Agents to access the OpenAlex academic database for searching vast amounts of academic papers, analyzing citation relationships, and generating literature review summaries. For researchers, educators, and anyone needing rigorous academic support, this skill is an efficient research assistant.

Core Features

Academic Paper Search

Search academic papers through the OpenAlex API with support for multi-dimensional filtering by keywords, authors, journals, publication dates, and research fields. Search results include paper titles, abstracts, author information, publication journals, citation counts, and other key metadata.

Citation Network Analysis

Given a paper, the Agent can trace its cited references and citations from other papers, building a citation network map. This helps you understand the development trajectory of a research direction, identify key papers in the field, and locate core research teams.

Automated Literature Review

The Agent can automatically search for relevant papers around a specified research topic, read abstracts, summarize the current research state and major findings, identify research gaps and points of controversy, and ultimately generate a structured literature review report. While it cannot replace in-depth manual reviews, it significantly shortens preliminary research time.

Research Trend Analysis

By analyzing the number of papers published in a specific field over time, citation growth trends, and changes in popular keywords, the Agent can help you identify emerging research directions and declining research areas.

Typical Use Cases

• Research Topic Exploration: Before finalizing your research direction, quickly understand the research status, key scholars, and important papers in a field to inform your topic selection.
• Literature Review Writing: When writing the literature review section of papers or reports, the Agent helps you systematically search, filter, and synthesize relevant literature.
• Competitive Analysis: Understand the academic research activity in a technology field and discover research gaps that haven't been fully explored.
• Teaching Preparation: Teachers preparing course content can quickly access the latest research progress and authoritative papers on specific knowledge points.
• Interdisciplinary Exploration: When you need to understand an unfamiliar field, the Agent helps you quickly build a knowledge framework for that discipline.

Usage Instructions

1. Integrate the Academic Research skill into your Agent project.
2. No additional API key configuration needed. OpenAlex provides a free open academic data interface.
3. Describe your research needs in natural language to the Agent, such as "Find important papers on large language model hallucination issues from the past three years".
4. The Agent will search relevant papers, sort by relevance and impact, and provide summaries and analysis.

Data Source Description

OpenAlex is an open academic metadata database containing index information for over 200 million academic works. It integrates data from multiple authoritative sources including Crossref, PubMed, ORCID, and covers a wide range of disciplines across natural sciences, social sciences, and humanities.