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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 | 159 | Aperivue/medsci-skills · 0x11c11e/awesome-ai-research-tools · Cris223511/systematic-review-data-analysis |
| 文献检索与引用 | 51 | bcankara/BibexPy |
| 学术综合写作 | 9 | |
| 排版与模板 | 3 | |
| 图表与可视化 | 1 |
01
Aperivue/medsci-skills
面向医学研究的 Agent Skills——文献检索、报告规范与引用核查、统计、发表图表、投稿。兼容 Claude Code、Codex、Cursor 与 GitHub Copilot。由医师-研究者构建，在真实发表论文上验证。MIT 协议。Agent Skills for medical research — literature search, reporting-guideline & citation checks, statistics, publication figures, submission. Works with Claude Code, Codex, Cursor & GitHub Copilot. Built by a physician-researcher, tested on real publications. MIT.
269 ★
02
0x11c11e/awesome-ai-research-tools
一个专为辅助研究活动而精选的 AI 工具列表，涵盖文献综述、引文管理、数据分析等工具，面向希望借助 AI 提升研究工作流的研究人员、学生和从业者。A curated list of AI tools specifically designed to assist in research activities, including tools for literature reviews, citation management, data analysis, and more. This repository is intended for researchers, students, and professionals who want to leverage AI to enhance their research workflows.
+4/周
61 ★
03
bcankara/BibexPy
BibexPy 是一个基于 Python 的软件，旨在简化文献计量数据整合、去重、元数据增强和格式转换。它通过自动化传统的手动且易出错的任务，简化了高质量数据集的准备，以用于高级分析。BibexPy is a Python-based software designed to streamline bibliometric data integration, deduplication, metadata enrichment, and format conversion. It simplifies the preparation of high-quality datasets for advanced analyses by automating traditionally manual and error-prone tasks.
18 ★
04
Cris223511/systematic-review-data-analysis
系统综述数据分析仓库：基于机器学习技术的自闭症谱系障碍儿童情绪识别Data analysis repository for systematic literature review on emotion recognition in childrens with Autism Spectrum Disorder using machine learning techniques
0 ★
05
awabahmad469/composite-endpoints-audit
论文 "Composite endpoints sharing a name do not always share a definition — a registry-based audit of five systematic reviews, and why heterogeneity statistics do not detect the problem" 的配图与补充材料。Figures and supplementary materials accompanying the manuscript “Composite endpoints sharing a name do not always share a definition — a registry-based audit of five systematic reviews, and why heterogeneity statistics do not detect the problem.
0 ★