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This guide provides authors with a comprehensive framework for preparing manuscript revisions and rebuttal letters for top-tier academic journals. It details how to structure point-by-point responses to reviewer comments, effectively incorporating new evidence (such as rendering comparisons, geometric error maps, and ablation studies), and maintaining a professional, structured tone necessary for successfully navigating the re-review process.

This comprehensive guide assists authors in navigating the critical steps after manuscript acceptance in academic journals, particularly in CAD and Graphics. It covers de-anonymization (adding acknowledgments, funding, and real links), meticulous formatting checks, ensuring high print quality (resolution, color fidelity), rigorous proofreading protocols, and managing copyright requirements to ensure a smooth transition to final publication.

A comprehensive guide for structuring robust, peer-review-proof experiments for journals focusing on Computer Graphics and CAD. It guides users on moving from research questions to actionable evidence, covering geometric metrics (Chamfer, Hausdorff), rendering quality, ablation studies, and mandatory visual evidence presentation to ensure scientific rigor.

A comprehensive guide for structuring the 'Related Work' section of academic papers in the field of Computer Graphics and CAD. It emphasizes 'delta-first' writing, requiring authors to clearly articulate how their work differentiates from the most similar existing research, proving novelty rather than simply listing literature. Covers organization by technical contribution (Geometry, Rendering, CAD, etc.) and rigorous citation standards.

This guide provides a comprehensive checklist and systematic approach for enhancing the reproducibility of research in Computer Graphics and CAD. It addresses the inherent sensitivity of graphics and geometry results to environment variables, random seeds, rendering parameters, and data versions, ensuring that published results can be reliably replicated by reviewers and readers.

This comprehensive guide outlines the entire peer-review pipeline for the Journal of Computer-Aided Design & Computer Graphics (JCAD&CG). It details every stage, from initial editor screening and double-blind expert review, through major/minor revisions, to final acceptance. It helps authors understand their current status, expected next steps, and how to manage the academic submission timeline effectively.

This guide helps researchers properly structure graphical and CAD papers submitted to academic journals. It details the separation of core, 'decisive' evidence (main results, key figures) that must reside in the main text, versus 'extensive' supplementary materials (videos, extra data, full derivations). It emphasizes maintaining the self-sufficiency of the main article while ensuring all necessary evidence is presented.

This guide assists researchers in validating if their proposed topic aligns with the scope of the Journal of Computer-Aided Design & Computer Graphics (JCAD&CG). It systematically checks the core contribution, focusing on graphics, geometry, visualization, VR/AR, and CAD/CAE techniques, helping authors ensure sufficient technical increment and preventing rejection due to scope mismatch.

A comprehensive workflow guide mapping the entire academic submission lifecycle for JCAD&CG, from initial topic selection to final camera-ready stage. It organizes 12 key stages, identifying critical deliverables, decision points, and necessary steps at every phase to ensure a smooth and systematic publication process.

This guide provides a comprehensive checklist and style manual for authors submitting papers to the Journal of Computer-Aided Design & Computer Graphics (JCAD&CG). It covers all necessary formatting details, including the four elements of a reportative abstract, the problem-gap-contribution structure, adherence to GB/T 7714 citation standards, and specific rules for graphical evidence presentation in CAD and graphics research.

This guide helps authors sharpen the stated contribution of an academic manuscript, particularly in corporate finance. It instructs users on how to transform research findings into a crisp, compelling claim that clearly states 'what is new and why it matters.' It is essential for drafting abstracts, introductions, and cover letters to maximize the chance of passing an editor's initial screening.

A comprehensive guide for conducting advanced empirical analysis required for top-tier finance journals. It covers assembling multi-source firm panels (Compustat, CRSP, etc.), constructing complex corporate finance variables, implementing advanced econometric techniques (high-dimensional fixed effects, clustered errors), and systematically planning robustness checks and replication strategies.