Academic search
Search academic literature using AI-assisted academic search and keyword search, with the site positioning AMiner around large-scale scholarly discovery.
AMiner est un assistant de recherche académique par IA pour rechercher, interroger des documents et rédiger des résumés cités.
AMiner is an AI-powered academic research assistant from Zhipu, built around the GLM model and positioned for scholarly search, reading, and synthesis tasks. The site describes it as a platform for finding papers, exploring research topics, and using AI to help understand academic materials.
The public pages emphasize a large scholarly dataset and a broad research workflow: academic search, keyword search, deep research, AI reading, and AI document Q&A. The site also highlights outputs such as literature reviews and opening reports with real citations, which makes the product useful for researchers who need both discovery and synthesis support.
Search academic literature using AI-assisted academic search and keyword search, with the site positioning AMiner around large-scale scholarly discovery.
Use deep research workflows to assemble outputs such as literature reviews and opening reports, with the site emphasizing real citations in the resulting reports.
Read and understand papers with AI reading tools designed to help users process dense scholarly text more efficiently.
Ask questions over documents and academic materials through AI document Q&A and related dialogue tools.
Track papers, scholars, and research activity through follow, collection, and browsing history features shown in the site navigation and policy pages.
Access AMiner through the website, an open data platform, and a WeChat mini program, with the site also referencing a browser plugin in policy text.
Look up papers and scholars using academic search and keyword search when starting a literature scan or narrowing a topic.
Use AI reading and dialogue to digest papers faster, summarize dense sections, and ask questions about a document.
Build literature reviews or opening reports that need structured synthesis and real citations.
Track papers, scholars, and browsing history through the site’s follow, collection, and history features to keep a working research trail.
Use the website, open data platform, or WeChat mini program depending on where you need to access academic search and reading tools.
AMiner is presented as an AI research assistant built on Zhipu’s GLM models. It supports academic search, keyword search, deep research, AI reading, and AI document Q&A for scholarly work.
The source shows support for web use, a WeChat mini program, and an open data platform. It also references a browser plugin in the privacy policy, but the public site does not provide full setup details on the home page.
The site says AMiner can help produce research outputs such as literature reviews and opening reports with real citations, and it includes AI reading and AI dialogue tools for understanding papers.
The privacy policy states that users can manage their information, and the site includes login, profile, follow, collections, and history functions. The source does not provide workflow details for team collaboration or export options.
A pricing page was requested but returned a 404 page not found. The source does show an 'Activate VIP' prompt and a displayed daily price on the site, but it does not provide a complete public pricing structure.
Les données de trafic sont fournies à titre indicatif uniquement.
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