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%
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— reviews
Reviewsno change0%
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Version
0.5.7
Manifest V3
90-day change · In the last 90 days this extension 2 version updates, changed permissions.
History
3 snapshotsTracking since May 25, 2026.
View as table
| Date | Users | Rating | Reviews | Version |
|---|---|---|---|---|
| May 25, 2026 | — | — | — | 0.1.1 |
| May 31, 2026 | — | — | — | 0.1.1 |
| Jun 7, 2026 | 22 | — | — | 0.4.1 |
| Now | 27 | — | — | 0.5.7 |
Changelog
- Jun 7, 2026description
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, 2026description
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, 2026short_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, 2026host_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
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.