
Share Deep Research is an AI research assistant that searches major academic databases, synthesizes the findings it retrieves, and drafts structured research reports and papers with real, verifiable citations. It is aimed at students, academics and analysts who need to move quickly from a research question to a well-formed literature review or thesis-length document.

这是编辑给出的评估,满分 5 分,不是用户打分的平均值。 本页的各方观点由 AI 根据产品信息归纳,不是真实用户的评价。
根据 OpenAITools.app 于 2026-11-11 核对的流量数据,Share Deep Research(sharedeepresearch.ai)是一个收录在 AI Research Tool 下的 AI 平台,月访问量为 0,月度环比流量变化为 +0(0%)。其主要地理市场为全球(— 流量份额),采用免费增值定价模式。按月流量计算的主要竞争替代方案包括 ThesisAI(22.44万次访问/月),ResearchRabbit(83.16万次访问/月),Semantic Scholar(819.87万次访问/月)。
带真实学术引用的调研报告生成器,写论文救星。
偶尔会抓到一些野鸡论文,得自己把关。
做文献综述和背景调研效率翻倍。
arXiv和Semantic Scholar检索很靠谱。
以下短评基于实时网页探查、定价机制与同类产品基准由 AI 综合模拟生成,旨在呈现不同使用场景下的常见槽点与亮点,非实名真实用户评价。
The assistant queries several academic databases at once, finds relevant papers across disciplines and pulls out the key findings for you.
Output follows a proper academic structure — abstract, introduction, literature review, methodology, results, discussion and conclusion — rather than a loose summary.
Every claim is tied to real peer-reviewed sources, formatted in Harvard, APA, MLA, Chicago or IEEE to match your target venue.
Choose a standard ~3,000 word research paper or a 10,000+ word thesis/dissertation with full academic scaffolding.
Generate a document and share it publicly or with collaborators, or browse reports other users have published.
Share Deep Research is an AI research assistant that searches major academic databases, synthesizes the findings it retrieves, and drafts structured research reports and papers with real, verifiable citations. It is aimed at students, academics and analysts who need to move quickly from a research question to a well-formed literature review or thesis-length document.
Produce a structured chapter or literature review with real references, then edit it into your own writing before submission.
Generate an evidence-based briefing or systematic overview from peer-reviewed literature for internal or policy use.
Scan and synthesize the academic landscape around a topic to position a new study or identify gaps.
Compile cited market, technology or healthcare research into a client-ready report without manually gathering dozens of papers.
同一分类下同类 AI 工具的流量并排对比
| 排名 | AI 工具 | 月访问量 | 月度环比增长 | 直接流量占比 | 定价 | 头对头 |
|---|---|---|---|---|---|---|
| ● | Share Deep Research | 0 | 0% | — | 免费增值 | 当前产品 |
| 1 | ThesisAI | 22.44万 | +18.3% | 19% 直接流量 | 付费 | 对比 ThesisAI |
| 2 | ResearchRabbit | 83.16万 | +3.1% | 45% 直接流量 | 免费 | 对比 ResearchRabbit |
| 3 | Semantic Scholar | 819.87万 | +5.8% | 23% 直接流量 | 免费 | 对比 Semantic Scholar |
| 4 | CitedEvidence | 2.47万 | +20.4% | 53% 直接流量 | 付费 | 对比 CitedEvidence |
| 5 | Perplexity | 8831.02万 | -3.7% | 72% 直接流量 | 免费增值 | 对比 Perplexity |
| 6 | ResearchPal | 5.52万 | -5.2% | 41% 直接流量 | 免费增值 | 对比 ResearchPal |

ResearchRabbit is a free AI research discovery tool that maps the literature around the papers you care about. Seed it with a paper you like and it visualises related work, key authors and emerging topics, learning from your choices to surface the research you have been missing.
ResearchRabbit is a free AI research discovery tool that maps the literature around the papers you care about. Seed it with a paper you like and it visualises related work, key authors and emerging topics, learning from your choices to surface the research you have been missing.

Semantic Scholar is a free, non-commercial academic search engine built by the Allen Institute for AI (Ai2). It indexes more than 240 million papers from every field of science and uses machine learning to extract meaning from abstracts, citations, figures and tables, so researchers find relevant work faster than with keyword-only search.
Semantic Scholar is a free, non-commercial academic search engine built by the Allen Institute for AI (Ai2). It indexes more than 240 million papers from every field of science and uses machine learning to extract meaning from abstracts, citations, figures and tables, so researchers find relevant work faster than with keyword-only search.
基于 3 亿多篇真实学术论文生成研究报告,每条论断均标注并核验来源

ResearchPal is an AI research workspace that searches academic sources, generates citation-backed literature reviews, answers questions from your own PDFs, and helps draft and polish scholarly writing.
ResearchPal is an AI research workspace that searches academic sources, generates citation-backed literature reviews, answers questions from your own PDFs, and helps draft and polish scholarly writing.
用可视化论文图谱探索学术文献
基于 3 亿 + 篇学术全文的 AI 答案
Jenni is an AI research and academic writing workspace that helps students, researchers, and academics read, write, and cite in one place. Bring in PDFs or import a Zotero or Mendeley library, and Jenni's autocomplete suggests sentences grounded in your own sources, with every suggestion linked to the exact page and paragraph. A built-in writer, AI chat, citation engine covering 10,000+ styles, and a Reviews tool for catching weak or unverified claims make it a full environment for producing cited papers.
Jenni is an AI research and academic writing workspace that helps students, researchers, and academics read, write, and cite in one place. Bring in PDFs or import a Zotero or Mendeley library, and Jenni's autocomplete suggests sentences grounded in your own sources, with every suggestion linked to the exact page and paragraph. A built-in writer, AI chat, citation engine covering 10,000+ styles, and a Reviews tool for catching weak or unverified claims make it a full environment for producing cited papers.
自带真实文献与自动引文的 AI 学术写作工具
Paper Digest is an AI research platform that summarizes literature, generates literature reviews with citations, and delivers daily digests of new papers across arXiv, PubMed, bioRxiv and major conferences. Launched in 2018 and used by millions of researchers, it combines a citation-backed review engine that avoids inventing results with tools for reading PDFs, writing, question answering, claim verification and topic tracking.
Paper Digest is an AI research platform that summarizes literature, generates literature reviews with citations, and delivers daily digests of new papers across arXiv, PubMed, bioRxiv and major conferences. Launched in 2018 and used by millions of researchers, it combines a citation-backed review engine that avoids inventing results with tools for reading PDFs, writing, question answering, claim verification and topic tracking.
研究用 AI 工具与专家发表服务一站到位