CCFrank

Displays CCF recommended rank of conferences/journals in dblp, Google Scholar, Connected Papers and WoS.

CCFrank: Chrome Extension for Conference/Journal Ranking

CCFrank is a user-friendly Chrome extension designed to facilitate academic research. This tool displays the categorization of academic articles according to the 'Chinese Computer Society's Recommended International Academic Conference and Journal Directory'. Its functionality spans across platforms such as dblp, Google Scholar, Connected Papers, Semantic Scholar, and Web of Science, providing an easy and efficient way for researchers to identify the ranking and credibility of journals and conferences.

Download

Extension stats

By: Wenyan Liu

Users: 20,000+

Rating: 4.33

(33)

Version: 4.5.3 (Last updated: 2024-12-05)

Creation date: 2020-11-06

Risk impact: Low risk impact

Risk likelihood:

Very low risk likelihood

Manifest version: 3

Host permissions:

*://dblp.org/*

Size: 1.91M

Email: f.*****@hotmail.com

URLs: Privacy policy

Ranking

# 6,543 ▲ 48

Other rankings

#1500 in Tools #296 in firefox keyword 84 ▼ 67

Other platforms

Not available on Android

CCFrank (v4.5.1)

5.00

(2) 455

CCFrank (v4.5.2)

4.60

(8) 14,722+

Want to check extension ranking and stats more quickly for other Chrome extensions? Install Chrome-Stats extension to view Chrome-Stats data as you browse the Chrome Web Store.

Extension summary

Analyze keywords

此扩展程序会添加一个网页标记，以便用户可以从 dblp、Google 学术、Connected Papers、Semantic Scholar 和 Web of Science 轻松查询学术文章的类别（即其在《中国计算机学会推荐国际学术会议和期刊目录》2022年拟定版(2022年12月)中的类别）。CCFrank 可执行以下操作：

在 dblp 的 publication、person、conferences 和 journals 搜索结果中标记论文的类别；适配 dblp 各镜像站点。
在 Google 学术的 articles 和 author 搜索结果中标记论文的类别；适配 Google 学术各镜像站点；
在 Connected Papers 的搜索结果中标记论文的类别。
在 Web of Science 的搜索结果中标记论文的类别。
在 Semantic Scholar 的 search results、citations 和 references 中标记会议和期刊论文的类别。

您的 Star 是我更新的动力 <3：https://github.com/WenyanLiu/CCFrank4dblp

版本历史：https://github.com/WenyanLiu/CCFrank4dblp#whats-new

User reviews

These summaries are automatically generated weekly using AI based on recent user reviews. Chrome Web Store does not verify user reviews, so some user reviews may be inaccurate, spammy, or outdated.

Pros