Skill UI

A comprehensive guide for authors navigating the academic publication lifecycle, covering strategies for rebuttal windows, camera-ready revisions, and resubmission briefs for top-tier conferences. Learn how to structure arguments, maintain anonymity, focus on evidence, and calibrate tone to effectively address reviewer concerns in different submission scenarios.

This guide provides an in-depth analysis of the CIKM peer review process, which operates under double-blind rules and integrates perspectives from three distinct fields: Information Retrieval, Data Mining, and Knowledge Management. It details how authors can optimize their submissions to satisfy diverse expert standards, how to interpret complex, multi-faceted review reports, and the critical dynamics that determine a paper's acceptance status.

A comprehensive guide for authors submitting scientific papers to major conferences. It details the strategic placement of supplementary material across the main body, in-PDF appendices, and external anonymous artifacts. Learn how to maximize impact and provide necessary evidence while strictly adhering to page limits and respecting reviewer attention economics.

This comprehensive guide provides expert advice on structuring and polishing research manuscripts for multi-disciplinary academic venues like CIKM. It details how to satisfy reviewers from Information Retrieval, Data Mining, and Knowledge Management simultaneously, covering the optimal structure for the opening page, vocabulary discipline, budget compression, and effective title optimization.

This skill guides authors on assessing if their cardiovascular manuscript meets the rigorous standards of Circulation, the AHA's flagship journal. It covers the journal's specific scope, ideal research methods (e.g., RCTs, biomarker studies, epidemiology), structural requirements, and how to effectively frame the work to impact AHA guidelines and clinical practice.

A comprehensive guide for authors on crafting structured, professional response letters to academic peer reviews. It covers classifying different revision types (Minor/Major), structuring responses for top-tier journals, addressing conflicting expert opinions, and ensuring all modifications are precisely documented and verifiable for successful publication.

A comprehensive guide on structuring and writing the 'Related Work' and literature review sections for high-impact, comprehensive computer science journals. It emphasizes establishing the research gap (the 'delta'), structuring comparisons (Classification-Comparison-Gap), balancing literature coverage (classic vs. modern, local vs. global), and adhering to academic citation norms (e.g., GB/T 7714). Essential for authors needing to clearly define their novelty in a cross-disciplinary context.

This guide provides detailed rules for structuring long-form academic papers submitted to the Chinese Journal of Computers (CJC). It teaches authors how to strategically divide content into the main text, appendices, and supplementary materials. The core principle emphasizes that all decision-making evidence required for acceptance must reside in the main manuscript, while supporting details, full proofs, and extra tables belong in supplementary sections.

This comprehensive guide provides authors with detailed standards for preparing high-quality, publishable scientific manuscripts for the Chinese Journal of Computers (CJC). It covers critical academic elements, including writing the four-element reporting abstract, structuring the narrative (Introduction, Methods, Experiments), maintaining consistent terminology and symbols, adhering to Chinese legislative units, and mastering the GB/T 7714 citation format. It ensures the final submission meets the rigorous linguistic and structural demands of top-tier academic journals.

A structured guide for vetting academic manuscripts, ensuring the topic aligns with the target journal’s applied modeling mission. It guides researchers through three core checks: real-world management problems, methodological incremental value, and practical decision-making outcomes. It also provides guidance on distinguishing between different academic fields and preventing submission errors.

A comprehensive guide designed to enforce the strict structural and stylistic requirements of academic journals. It instructs users on the correct order of sections (Abstract, Keywords, Conclusion, References), ensures the abstract is self-contained by covering five key elements, and maintains a professional, verifiable academic writing tone.

A comprehensive guide to understanding the rigorous, model-driven review process at top cognitive psychology journals. Learn how editors and experts evaluate theoretical impact, methodological rigor, model identifiability, and data reproducibility. Use this guide to stress-test your manuscript before submission, preempt common rejection reasons, and shape your work to maximize its chances of acceptance in demanding academic venues.