AMiner

AMiner is a web-based research platform built around large-scale academic data and machine learning. It is developed in connection with Tsinghua university's Department of computer science and Technology and is AImed at researchers, students, and analysts who need to move quickly from a query to a useful set of papers, scholars, or trends. Rather than functioning as a General-purpose chatbot, it APPlies AI to the specific problem of navigating scientific literature and the people behind it.

What it does

At its core, AMiner indexes a very large body of publications and related Metadata drawn from univeRSIties, research institutes, and journals. Users enter keywords, author names, or topics and receive matched papers, patents, and researcher profiles. The platform also offers a conversational assistant that answers questions against its literature collection, so users can ask for explanations of a paper, look up a scholar, or locate relevant work without manually building complex search strings. Availability of indiVidual features may vary by region and account.

Key capabilities

• Academic search: Retrieve papers and patents across disciplines, with results oriented toward relevance.
• Research Chat Assistant: Ask natural-language questions about papers, authors, and topics and receive grounded responses.
• Scholar profiles: Review publication records and ACTivity for individual researchers.
• Recommendations and subscriptions: Receive suggested papers and updates based on stated interests or search history.
• Rankings: Explore indicator-based rankings of AI scholars and institutions through the AIOpenIndex system.
• Venue lookup: Check computer science conferences and journals, with filtering by field or condition.
• Curated reading lists: Browse AI-screened, expert-reviewed collections of must-read papers and save custom lists.
• Trend and news feed: Follow short articles that summarize emerging research hotspots.
• developer resources: Access open datasets, data APIs, and algorithm tools for experimentation and model training.

Who it is for

AMiner suits graduate students mapping a new field, faculty tracking competitors and collaborators, research teams sourcing datasets, and analysts monitoring scientific ouTPUt. Its developer offerings also appeal to engineers who need scholarly data for training or evaluation.

How to get started

Visit the AMiner website and use the search box or the chat interface to begin. Try a specific paper title, an author name, or a broad topic to see how results differ. From there, open scholar pages, follow recommended reading lists, and save items to a Personal list. Users exploring data or APIs should check the developer SECtion for documentation and any access requirements.

Pricing and access caveat

AMiner presents itself as a free-to-access research resource, but the exact limits on chat queries, API calls, and dataset downloads are not clearly documented and may change. Some functions may require registration or institutional access. Confirm current terms on the official site before relying on the platform for large-scale or commercial work.