The Chinese Computer Federation (CCF) has officially released the seventh edition of its Recommended International Academic Conferences and Journals Directory for 2026. This authoritative publication serves as an essential reference for computer science researchers, academic institutions, and professionals seeking to identify high-quality publication venues in the field of computing and information technology.

Understanding the CCF Recommended Directory

The CCF Recommended Directory represents one of the most respected and widely recognized classification systems for computer science publications in China and increasingly across Asia. Since its inception, the directory has provided objective, expert-driven evaluations of international conferences and journals, helping researchers make informed decisions about where to submit their work.

Purpose and Significance

The directory serves multiple critical functions in the academic ecosystem:

Research Quality Assessment: By categorizing publications into tiers based on rigorous evaluation criteria, the directory helps researchers identify venues that maintain high standards of peer review, editorial quality, and academic impact. This classification assists in evaluating the significance of published work for tenure decisions, grant applications, and academic promotions.

Submission Guidance: Early-career researchers and graduate students often struggle to identify appropriate publication venues. The CCF directory provides clear guidance on conference and journal quality, helping authors target their submissions effectively and maximize the impact of their research.

Institutional Benchmarking: Universities and research institutions use the directory to establish publication expectations, evaluate faculty performance, and allocate resources. Many Chinese universities have incorporated CCF rankings into their evaluation criteria for hiring, promotion, and reward decisions.

Field Development: By highlighting high-quality venues across different subdisciplines, the directory encourages balanced development across all areas of computer science, preventing concentration of research effort in only the most visible areas.

Classification System

The CCF directory employs a three-tier classification system:

Class A: Represents the most prestigious and influential venues in each subdiscipline. These conferences and journals demonstrate exceptional selectivity, rigorous peer review, significant impact on the field, and consistent quality over time. Publication in Class A venues is considered a major achievement and often required for top academic positions.

Class B: Includes high-quality venues that maintain strong standards but may have slightly lower selectivity or impact than Class A. Class B publications are respected contributions to the field and represent solid venues for disseminating research findings.

Class C: Encompasses reputable venues that provide valuable outlets for research publication. While less selective than Class A or B venues, Class C conferences and journals maintain acceptable standards and contribute to the academic discourse.

This tiered system provides nuanced guidance while recognizing that venue quality varies across subdisciplines and that different research goals may warrant different publication strategies.

2026 Seventh Edition Updates

The 2026 seventh edition introduces several important updates reflecting the evolving landscape of computer science research and publication.

Expanded Coverage

The new edition expands coverage to include emerging subdisciplines and rapidly growing research areas:

Artificial Intelligence and Machine Learning: Reflecting the explosive growth in AI research, the 2026 edition adds numerous venues focused on deep learning, reinforcement learning, natural language processing, computer vision, and AI applications. This expansion acknowledges AI's central role in contemporary computer science research.

Cybersecurity and Privacy: With increasing attention to security concerns, the directory now includes additional venues dedicated to cybersecurity, privacy-enhancing technologies, and secure systems. This expansion supports the growing community of security researchers.

Data Science and Analytics: New venues covering big data, data mining, knowledge discovery, and analytics reflect the data-driven transformation of research and industry.

Quantum Computing: Recognizing the emergence of quantum computing as a significant research area, the directory adds venues focused on quantum algorithms, quantum systems, and quantum information science.

Sustainable Computing: New categories address green computing, energy-efficient systems, and sustainability in technology, reflecting growing environmental consciousness in the field.

Revised Classifications

Based on ongoing monitoring and evaluation, the 2026 edition revises classifications for numerous venues:

Promotions: Several conferences and journals have been promoted to higher tiers based on improved selectivity, increased impact, and enhanced reputation. These promotions recognize venues that have demonstrated sustained quality improvement.

Demotions: Some venues have been reclassified to lower tiers due to declining selectivity, quality concerns, or reduced impact. These changes ensure the directory accurately reflects current venue quality.

New Additions: Completely new venues meeting CCF quality standards have been added across all tiers, providing additional publication options for researchers.

Removals: Venues that no longer meet quality standards or have ceased operation have been removed, maintaining the directory's integrity and usefulness.

Evaluation Methodology

The CCF employs rigorous methodology for evaluating and classifying venues:

Expert Committees: Each subdiscipline has a dedicated committee of recognized experts who evaluate venues based on their knowledge and experience. These committees include researchers from academia, industry, and research institutions.

Quantitative Metrics: Objective metrics including acceptance rates, citation impact, h-index, and other bibliometric indicators inform classification decisions. These metrics provide data-driven insights into venue quality and impact.

Community Feedback: Input from the research community through surveys, public comments, and direct feedback helps ensure classifications reflect community perceptions and needs.

Longitudinal Analysis: Venues are evaluated over multi-year periods to identify trends and ensure classifications reflect sustained quality rather than temporary fluctuations.

International Perspective: While focused on serving Chinese researchers, the evaluation process considers international reputation and impact, ensuring global relevance.

Accessing the Directory

The CCF Recommended Directory is available through official channels:

PDF Download

The complete directory is available as a downloadable PDF document from the official CCF website. The PDF format provides:

  • Complete listing of all classified venues
  • Detailed classification by subdiscipline
  • Historical classification changes
  • Explanation of evaluation methodology
  • Guidelines for appropriate use

The PDF is optimized for both screen reading and printing, with hyperlinks for easy navigation between sections.

Online Access

An interactive online version provides enhanced functionality:

  • Searchable database of all venues
  • Filtering by subdiscipline, tier, and other criteria
  • Historical classification tracking
  • Venue detail pages with additional information
  • Regular updates between major editions

The online version ensures researchers always access the most current information.

Official Source

Researchers should obtain the directory only from official CCF channels to ensure accuracy and authenticity. The official website provides the authoritative version, while unofficial copies may contain errors or outdated information.

Using the Directory Effectively

Maximizing the value of the CCF directory requires understanding its appropriate application and limitations.

For Researchers

Publication Strategy: Use the directory to develop a publication strategy aligned with career goals. Early-career researchers might target a mix of Class A and B venues to build a strong publication record, while established researchers may focus primarily on Class A venues.

Venue Selection: Consider factors beyond classification when selecting venues, including:

  • Specific topic fit and audience
  • Publication timeline and review speed
  • Geographic location for conferences
  • Open access policies
  • Community engagement and networking opportunities

Realistic Expectations: Understand that Class A venues typically have acceptance rates below 20-25%, requiring high-quality submissions and often multiple revision cycles. Plan submission strategies accordingly.

For Institutions

Evaluation Policies: When incorporating CCF classifications into evaluation policies, consider:

  • Disciplinary differences in publication practices
  • Career stage variations in expectations
  • Balance between quantity and quality
  • Recognition of other impactful contributions beyond publications

Flexible Application: Apply classifications flexibly, recognizing that excellent research may appear in venues outside the highest tiers, particularly in emerging areas or interdisciplinary work.

Limitations and Considerations

Not Absolute Quality Measure: CCF classifications provide guidance but don't absolutely determine research quality. Excellent papers appear in Class B and C venues, while weaker papers occasionally appear in Class A venues.

Subdiscipline Variation: Classification criteria and competitiveness vary across subdisciplines. A Class A venue in one area may differ significantly from Class A in another.

Temporal Dynamics: Venue quality evolves over time. The directory is updated periodically, but classifications may lag behind rapid changes in the publication landscape.

Complementary Metrics: Use CCF classifications alongside other metrics including citation counts, h-index, and qualitative assessments for comprehensive evaluation.

International Context: While respected internationally, the CCF directory is one of several classification systems. Consider Scopus, Web of Science, and other indices for global perspective.

Impact on Computer Science Research

The CCF Recommended Directory has significantly influenced computer science research in China and beyond:

Quality Improvement

By clearly identifying high-quality venues, the directory has encouraged researchers to target more selective publication outlets, raising overall research quality. The aspiration to publish in Class A venues has motivated more rigorous research methodologies and higher presentation standards.

Field Development

The directory's comprehensive coverage across subdisciplines has supported balanced development of computer science research. Researchers in less visible areas have recognized venues for quality publication, encouraging work across the full spectrum of computing research.

International Engagement

By highlighting international venues, the directory has encouraged Chinese researchers to engage with the global research community, increasing international collaboration and visibility of Chinese research contributions.

Standardization

The directory has provided common standards for research evaluation, reducing ambiguity in hiring, promotion, and funding decisions. This standardization has improved fairness and transparency in academic evaluation.

Summary

The CCF Recommended International Academic Conferences and Journals Directory 2026 Seventh Edition represents an essential resource for computer science researchers, institutions, and professionals. By providing expert-driven, evidence-based classifications of publication venues, the directory supports informed decision-making about research dissemination, evaluation, and career development. The 2026 edition's expanded coverage, revised classifications, and enhanced accessibility reflect the evolving landscape of computer science research. Researchers should use the directory as a valuable guide while recognizing its appropriate role within a broader ecosystem of research evaluation. The directory is available through official CCF channels, ensuring access to accurate and authoritative information. As computer science continues to advance and diversify, the CCF Recommended Directory will remain a cornerstone of research quality assessment and publication strategy in the field.