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.

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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

Host permissions:

*://dblp.org/*

Size: 1.91M

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

URLs: Privacy policy

Full description: See detailed description

Ranking

# 6,248 ▲ 61

Other rankings

#1548 in Tools #275 in firefox keyword 21

Other platforms

Not available on Android

CCFrank (v4.5.1)

473 5.00

(3)

CCFrank (v4.5.3)

15,017+ 4.60

(8)

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 Chrome Web Store does not verify user reviews, so some user reviews may be inaccurate, spammy, or outdated.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

插件很不错，使用过程中很有帮助
很棒的插件，功能强大
非常好用，尽管有小瑕疵

Cons

多个会议的CCF评级错误
谷歌学术上无法正常显示CCF评级
显示的CCF评级不一致，同一会议/期刊在不同时间或不同文章间显示不同评级

Most mentioned

CCF none显示问题
需要更新和修复的BUG
建议改进匹配机制

User reviews

很多会议显示不出来ccf级别，都是none

张桓, 2024-11-10

Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation是ccf-b会议也没有显示

hy x, 2024-04-26

IWQos这个ccf b类会议居然显示CCF none实在是。。。。建议作者更改下，bug太多了，应该更新为字义相似识别，更近一步的筛选等读者一搜论文名即可

杨雨辰, 2024-04-02

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Extension safety

Risk impact

CCFrank requires very minimum permissions.

Risk impact analysis details

High Injects scripts into web pages, which may alter or extract site contents, resulting in a substantial risk.
Low ******* ****** ** *** ********* ******** ********

Risk likelihood

We don't have sufficient data to confidently determine the risk likelihood of CCFrank. Use it at your own risk.

Risk likelihood analysis details

High This extension has low user count. Unpopular extensions may not be stable or safe.
Low **** ********* *** ******* **** **** * ****** **** ***** ******** *** **** ****** ** ** ****** *** *****
Low **** ********* *** ***** **** **** * ****** **** ***** ********** *** **** ****** ** ** ****** *** *****
Good **** ********* ** * ******** ********* ** ****** *** *****
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