OnlyCCFA

Filters Google Scholar and Semantic Scholar, exports reliable BibTeX, and keeps noisy results out.

As of June 2026, OnlyCCFA has 27 users in the Productivity category.

Usersno change0%
27
27
Ratingno change0%
— reviews
Reviewsno change0%
Version
0.5.7
Manifest V3
90-day change · In the last 90 days this extension 2 version updates, changed permissions.

History

3 snapshots

Tracking since May 25, 2026.

27.424.521.6May 25, 2026Jun 7, 2026
View as table
DateUsersRatingReviewsVersion
May 25, 20260.1.1
May 31, 20260.1.1
Jun 7, 2026220.4.1
Now270.5.7

Changelog

  • Jun 7, 2026
    description
    OnlyCCFA is a Google Scholar deep-filtering and venue-rank extension for researchers, students, and engineers. It is not just a rank-label overlay: it turns Google Scholar into a practical workflow for filtering papers, checking venue signals, exporting citations, and preparing a cleaner candidate set for Zotero.
    
    OnlyCCFA shows CCF recommended ranks on Google Scholar, dblp, Connected Papers, Semantic Scholar, and Web of Science. On Google Scholar, it focuses on CCF-A results by default, while still letting you switch between ALL, CCF-A, CCF-B, and CCF-C at any time.
    
    Key features:
    - Default CCF-A filtering on Google Scholar, with quick ALL / CCF-A / CCF-B / CCF-C switching
    - Deep-scan multiple Google Scholar pages and continue loading the next result batch
    - Multi-source badges for SCI, JCR Q1/Q2, CAS partitions/TOP, EI, Chinese core journals, SWJTU lists, and field TOP venues for robotics, communications, electrical engineering, control, and mechanical engineering
    - Combine badges with “any” or “all” logic to reduce noisy search results quickly
    - Make Zotero Connector see only the currently filtered Google Scholar results by synchronizing the filtered DOM
    - Export reliable BibTeX from Google Scholar first, with Crossref / arXiv public metadata fallback when needed
    - Faster batch BibTeX export with limited concurrency, result caching, and readable multi-line formatting
    - Keep visual badges outside the paper title, so Zotero imports clean titles without CCF/JCR/SCI labels appended
    - Save local preferences for language, default filter, deep-filter size, and selected badges
    
    OnlyCCFA is designed for students and researchers in computer science, robotics, mechanical engineering, electrical engineering, communications, and related fields. The goal is to make venue-quality signals more transparent, free, and usable directly inside everyday academic search.
    
    Privacy: OnlyCCFA does not collect personally identifiable information, does not sell data, and does not upload browsing history to the developer’s server. Preferences and caches stay in the browser. Public academic metadata requests are made only when the user explicitly starts deep filtering or exports BibTeX.
    OnlyCCFA is a Google Scholar deep-filtering and venue-rank extension for researchers, students, and engineers. It is not just a rank-label overlay: it turns Google Scholar into a practical workflow for filtering papers, checking venue signals, exporting citations, and preparing a cleaner candidate set for Zotero.
    
    OnlyCCFA shows CCF recommended ranks on Google Scholar, dblp, Connected Papers, Semantic Scholar, and Web of Science. On Google Scholar, it focuses on CCF-A results by default, while still letting you switch between ALL, CCF-A, CCF-B, and CCF-C at any time.
    
    Key features:
    - Default CCF-A filtering on Google Scholar, with quick ALL / CCF-A / CCF-B / CCF-C switching
    - Deep-scan multiple Google Scholar pages and continue loading the next result batch
    - More than 22,000 JCR 2024 / CAS upgraded partition 2025 journal records, plus a fix so DBLP fallback results can show JCR/CAS badges instead of only CCF
    - Google Scholar profile-page support for publication-table badges, combined filters, single-paper BibTeX copy, and batch export
    - Multi-source badges for SCI, JCR Q1/Q2, CAS partitions/TOP, EI, Chinese core journals, NSFC Distinguished Young Scholar seed names, official CAS/CAE Chinese+English academician lists, SWJTU lists, and field TOP venues for robotics, communications, electrical engineering, control, and mechanical engineering
    - Combine badges with “any” or “all” logic to reduce noisy search results quickly
    - Make Zotero Connector see only the currently filtered Google Scholar results by synchronizing the filtered DOM
    - Export reliable BibTeX from Google Scholar first, with Crossref / arXiv public metadata fallback when needed
    - Faster batch BibTeX export with limited concurrency, result caching, and readable multi-line formatting
    - Keep visual badges outside the paper title, so Zotero imports clean titles without CCF/JCR/SCI labels appended
    - Save local preferences for language, default filter, deep-filter size, and selected badges
    
    OnlyCCFA is designed for students and researchers in computer science, robotics, mechanical engineering, electrical engineering, communications, and related fields. The goal is to make venue-quality signals more transparent, free, and usable directly inside everyday academic search.
    
    Privacy: OnlyCCFA does not collect personally identifiable information, does not sell data, and does not upload browsing history to the developer’s server. Preferences and caches stay in the browser. Public academic metadata requests are made only when the user explicitly starts deep filtering or exports BibTeX.
  • May 31, 2026
    description
    OnlyCCFA is a fork of CCFrank.
    
    It keeps the original CCF rank labels for dblp, Google Scholar, Connected Papers, Semantic Scholar and Web of Science, and adds a more focused Google Scholar workflow: by default, search results only show papers recognized as CCF A.
    
    Features:
    - Display CCF recommended ranks for international conferences and journals
    - Filter Google Scholar results to CCF-A papers by default
    - Switch between ALL, CCF A, CCF B and CCF C
    - Improve Google Scholar venue matching with local CCF venue recognition
    
    This project is based on CCFrank. Many thanks to the original authors and contributors.
    OnlyCCFA is a Google Scholar deep-filtering and venue-rank extension for researchers, students, and engineers. It is not just a rank-label overlay: it turns Google Scholar into a practical workflow for filtering papers, checking venue signals, exporting citations, and preparing a cleaner candidate set for Zotero.
    
    OnlyCCFA shows CCF recommended ranks on Google Scholar, dblp, Connected Papers, Semantic Scholar, and Web of Science. On Google Scholar, it focuses on CCF-A results by default, while still letting you switch between ALL, CCF-A, CCF-B, and CCF-C at any time.
    
    Key features:
    - Default CCF-A filtering on Google Scholar, with quick ALL / CCF-A / CCF-B / CCF-C switching
    - Deep-scan multiple Google Scholar pages and continue loading the next result batch
    - Multi-source badges for SCI, JCR Q1/Q2, CAS partitions/TOP, EI, Chinese core journals, SWJTU lists, and field TOP venues for robotics, communications, electrical engineering, control, and mechanical engineering
    - Combine badges with “any” or “all” logic to reduce noisy search results quickly
    - Make Zotero Connector see only the currently filtered Google Scholar results by synchronizing the filtered DOM
    - Export reliable BibTeX from Google Scholar first, with Crossref / arXiv public metadata fallback when needed
    - Faster batch BibTeX export with limited concurrency, result caching, and readable multi-line formatting
    - Keep visual badges outside the paper title, so Zotero imports clean titles without CCF/JCR/SCI labels appended
    - Save local preferences for language, default filter, deep-filter size, and selected badges
    
    OnlyCCFA is designed for students and researchers in computer science, robotics, mechanical engineering, electrical engineering, communications, and related fields. The goal is to make venue-quality signals more transparent, free, and usable directly inside everyday academic search.
    
    Privacy: OnlyCCFA does not collect personally identifiable information, does not sell data, and does not upload browsing history to the developer’s server. Preferences and caches stay in the browser. Public academic metadata requests are made only when the user explicitly starts deep filtering or exports BibTeX.
  • May 31, 2026
    short_description
    Displays CCF ranks and filters Google Scholar search results to CCF-A papers by default.
    Filters Google Scholar and Semantic Scholar, exports reliable BibTeX, and keeps noisy results out.
  • May 31, 2026
    host_permissions
    https://dblp.org/*
    https://dblp.org/*, https://api.crossref.org/*, https://export.arxiv.org/*, https://scholar.googleusercontent.com/*

Permissions & access

Permissions
None declared
Host access
https://dblp.org/*, https://api.crossref.org/*, https://export.arxiv.org/*, https://scholar.googleusercontent.com/*

Screenshots

OnlyCCFA screenshot 1OnlyCCFA screenshot 2OnlyCCFA screenshot 3OnlyCCFA screenshot 4OnlyCCFA screenshot 5

About

OnlyCCFA is a Google Scholar deep-filtering and venue-rank extension for researchers, students, and engineers. It is not just a rank-label overlay: it turns Google Scholar into a practical workflow for filtering papers, checking venue signals, exporting citations, and preparing a cleaner candidate set for Zotero.

OnlyCCFA shows CCF recommended ranks on Google Scholar, dblp, Connected Papers, Semantic Scholar, and Web of Science. On Google Scholar, it focuses on CCF-A results by default, while still letting you switch between ALL, CCF-A, CCF-B, and CCF-C at any time.

Key features:
- Default CCF-A filtering on Google Scholar, with quick ALL / CCF-A / CCF-B / CCF-C switching
- Deep-scan multiple Google Scholar pages and continue loading the next result batch
- More than 22,000 JCR 2024 / CAS upgraded partition 2025 journal records, plus a fix so DBLP fallback results can show JCR/CAS badges instead of only CCF
- Google Scholar profile-page support for publication-table badges, combined filters, single-paper BibTeX copy, and batch export
- Multi-source badges for SCI, JCR Q1/Q2, CAS partitions/TOP, EI, Chinese core journals, NSFC Distinguished Young Scholar seed names, official CAS/CAE Chinese+English academician lists, SWJTU lists, and field TOP venues for robotics, communications, electrical engineering, control, and mechanical engineering
- Combine badges with “any” or “all” logic to reduce noisy search results quickly
- Make Zotero Connector see only the currently filtered Google Scholar results by synchronizing the filtered DOM
- Export reliable BibTeX from Google Scholar first, with Crossref / arXiv public metadata fallback when needed
- Faster batch BibTeX export with limited concurrency, result caching, and readable multi-line formatting
- Keep visual badges outside the paper title, so Zotero imports clean titles without CCF/JCR/SCI labels appended
- Save local preferences for language, default filter, deep-filter size, and selected badges

OnlyCCFA is designed for students and researchers in computer science, robotics, mechanical engineering, electrical engineering, communications, and related fields. The goal is to make venue-quality signals more transparent, free, and usable directly inside everyday academic search.

Privacy: OnlyCCFA does not collect personally identifiable information, does not sell data, and does not upload browsing history to the developer’s server. Preferences and caches stay in the browser. Public academic metadata requests are made only when the user explicitly starts deep filtering or exports BibTeX.

Technical

Version
0.5.7
Manifest
V3
Size
585KiB
Min Chrome
88
Languages
2
Featured
No

Metadata

ID
cgbjdimlhdcjinagiacapnkmhpjkeabh
Developer ID
u72027873bde9a949b9159cd184463f6d
Developer Email
[email protected]
Created
May 24, 2026
Last Updated (Store)
Jun 5, 2026
Last Scraped
Jun 7, 2026
Website
Support URL
Privacy Policy

Data sourced from the Chrome Web Store · last verified Jun 7, 2026.