
專項更強Offers broad general reasoning and document upload capabilities, but lacks specialized academic indexing and citation databases.
SciSpace 每月有 4,464,111 次造訪,月增率 +8.6%,定價模式為免費增值。WisPaper 每月有 107,817 次造訪,成長率 +0.1%,定價模式為免費增值。

WisPaper is an AI literature discovery and deep-search assistant for researchers. It screens large sets of academic papers and narrows them to the studies that actually matter, helping you find relevant work and track research trends without reading everything yourself.
| 面向/指標 | ![]() | ![]() |
|---|---|---|
| 官方網域 | scispace.com | wispaper.ai |
| 定價模式 | 免費增值 | 免費增值 |
| 每月造訪次數 | 446.41萬 (4,464,111) | 10.78萬 (107,817) |
| 月流量變化量 | +35.54萬 (+8.6%) | +116 (+0.1%) |
| 主要市場與市佔 | 🇺🇸 美國 (13.2%) | 🇨🇳 中國 (41.5%) |
| 每月直接造訪 | 131.51萬 | 3.05萬 |
| 使用者評分 | 4.6 | 4.3 |
| 支援平台 | 網站 | 網站 |

用來閱讀、理解與撰寫科學論文的 AI 研究平台
開啟或上傳論文後直接提問,對標亮段落取得白話解釋,並以對話方式梳理方法、結果與限制。
在涵蓋 Google Scholar、PubMed 與 arXiv 的大型學術索引中檢索,並據此產生結構化的文獻回顧與相關研究段落。
提供起草用的 AI Writer、維持學術語氣的改寫器,以及支援常見格式的引用產生器。
把論文中的表格與結果整理成結構化資料,並用內建偵測器判斷稿件是否帶有 AI 生成痕跡。

WisPaper is an AI literature discovery and deep-search assistant for researchers. It screens large sets of academic papers and narrows them to the studies that actually matter, helping you find relevant work and track research trends without reading everything yourself.
Rapidly screen a large pool of candidate papers down to a small set of core studies, so you skip the reading you do not need to do.
Search academic literature by topic and get AI-ranked results that surface the most relevant work for your research question.
Follow research trends and see what is newly published from major journals and venues, so you stay current in your field.
Browse personalised AI Feeds that adapt to your interests and research area over time.

專項更強Offers broad general reasoning and document upload capabilities, but lacks specialized academic indexing and citation databases.

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.
專項更強Focuses heavily on assisted academic drafting and autocomplete, whereas SciSpace centers more on reading and analysis.
專項更強Focuses heavily on assisted academic drafting and autocomplete, whereas SciSpace centers more on reading and analysis.
Rayyan is an AI-assisted systematic review platform that helps research teams import, deduplicate, screen, extract data from, and report on literature across the full evidence synthesis workflow.

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.
用視覺化論文圖譜探索學術文獻
為文獻回顧與可稽核系統性回顧打造的 AI 原生研究工作台
研究用 AI 工具與專家發表服務一站到位
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.