学术写作
330 个 · organized/repo_cards · 六阶段二十任务 · 方向综述 →
质量状态 Quality Gate
946已收录 946
36待复核 36
185已排除 185
公开榜单只展示已收录项目；待复核与已排除项目仍保留在仓库总库，不在此页传播。
研究阶段概览 Research Workflow
| # | 方向 | 数量 | 代表仓库 Top 3 |
|---|---|---|---|
| 01 | 证据综述 | 330 | aipoch/open-science · HiLab-git/SSL4MIS · hymie122/RAG-Survey |
首次收录 近 14 天 · 按日期统计
2026-08-26
15
2026-08-25
26
2026-08-24
12
2026-08-23
46
2026-08-22
44
2026-08-21
48
2026-08-20
47
2026-08-19
45
2026-08-18
60
2026-08-17
44
2026-08-16
48
2026-08-15
53
2026-08-14
53
2026-08-13
59
仓库导航 Leaderboard
旧分类链接兼容
organized/repo_cards · 学术方向；旧书签仍可访问，新统计不再使用这些字段。
方向榜单 Legacy
| 文献总结 | 330 | aipoch/open-science · HiLab-git/SSL4MIS · hymie122/RAG-Survey |
| 文献检索与引用 | 218 | |
| 学术综合写作 | 136 | |
| 其他学术工具 | 101 | |
| 排版与模板 | 71 | |
| 图表与可视化 | 54 | |
| 文献阅读 | 25 | |
| 降AI与润色 | 11 |
325
adrianstier/regen-2026-coral-regeneration-meta
珊瑚损伤后再生：PRISMA 系统综述与 meta 分析Coral regeneration after wounding: PRISMA systematic review and meta-analysis
0 ★
326
adrianstier/coral-regeneration-meta-analysis
珊瑚损伤后再生的 PRISMA 系统综述与 meta 分析。Coral regeneration after wounding: PRISMA systematic review and meta-analysis
0 ★
327
adnan-mayof/PRISMA-Guided-Systematic-Review-and-Meta-Analysis-Workflow
0 ★
328
Aditya2623/OncoRAG
OncoRAG 是一个 RAG 系统，为临床医生和研究人员提供即时获取最新肿瘤学证据的能力——来源包括直接来自 PubMed 的随机对照试验、Meta 分析、系统综述和 III 期临床试验。提出临床问题，即可获得带引文的可靠答案。OncoRAG is a Retrieval-Augmented Generation system that gives clinicians and researchers instant access to the latest oncology evidence — drawing from Randomized Controlled Trials, Meta-Analyses, Systematic Reviews, and Phase III Clinical Trials sourced directly from PubMed. Ask a clinical question, get a grounded answer with citations.
0 ★
329
ADBarshan/diagnostic-accuracy-of-AI-VS-RAdiologist-in-Breast-Carcinoma-Detection-via-Mammography
人工智能（AI）已成为提升乳腺 X 线摄影对乳腺癌诊断准确性的潜力工具。本系统综述与荟萃分析旨在探讨 AI 与放射科医生通过乳腺 X 线摄影检测乳腺癌的准确性。Artificial intelligence (AI) has emerged as a promising tool to improve the diagnostic accuracy of 49 mammography for breast carcinoma detection. This systematic review and meta-analysis aim to 50 explore the accuracy of AI and radiologists in breast carcinoma detection via mammography
0 ★
330
0Nguyen0Cong0Tuan0/thesis-all
Spec-FastGS 论文工作区：代码、已下载论文库 + 文献综述、分析与报告。Spec-FastGS thesis workspace: code, downloaded paper library + literature review, analysis, and report.
0 ★