NNScholar武汉衔光智能科技有限公司
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Related Products
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About
NNScholar is an AI-assisted academic research workspace for graduate students, faculty, and research teams. Its browser-based WebUse workspace supports literature discovery and screening, paper libraries, PDF reading and question answering, translation, evidence organization, and research planning. Users can search scholarly databases, filter and save candidate papers, organize references and PDFs, and review source-grounded notes. Document-writing tools help draft or revise manuscripts and DOCX files, match journal formats, ask questions about drafts, and review citations and consistency. Research agents, skills, browser access, and optional plugins extend workflows for study design, analysis, and journal-submission preparation. Free sign-up credits are available, with paid plans adding usage credits. Native macOS and Windows desktop downloads are not currently available; the browser workspace can be used now.
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About
WisPaper is an AI-driven research assistant that helps users search, filter, and synthesize academic papers and literature quickly and intelligently. Its “Scholar Search” feature acts like an agent: you issue queries about a topic and WisPaper scours research databases to surface the most relevant papers, abstracts, metrics, and insights. Rather than just returning lists, WisPaper lets you screen and filter results by relevance, date, citations, and impact, providing summaries and context to help you zero in on what matters. It also supports concept exploration, if you’re unsure of the exact terms, Wispaper can suggest related keywords or begin from broad ideas and help narrow them. The interface is built to streamline the literature review workflow, reducing the time spent manually digging through search engines, reading many abstracts, and cross-checking sources.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Not Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Graduate students, faculty, academic researchers, and research teams working with scientific literature, PDFs, and DOCX manuscripts.
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Audience
Researchers, students, and academic professionals seeking a tool to discover, sift, and summarize relevant scholarly work
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Not Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Not Supported
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Screenshots and VideosNo images available
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Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Supported
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Pricing
Free
Free Version
Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company Information武汉衔光智能科技有限公司
China
www.nnscholar.com
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Company InformationWisPaper
United States
www.wispaper.ai/
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Categories |
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Integrations
Model Context Protocol (MCP)
Not Supported
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