[Purpose/Significance] Against the backdrop of increasingly interconnected global financial markets and the growing complexity of counterparty credit risk contagion mechanisms, this article aims to review the core content, theoretical contributions, and practical value of Research on Counterparty Credit Risk Contagion in Financial Markets: Theory, Models and Cases, and to elucidate the academic significance of examining financial risk contagion from a systemic perspective. [Method/Process] By combining textual analysis, logical induction, and comparative review, this article systematically examined and evaluated the book’s research approach, methodological framework, and application pathways in terms of its theoretical framework, model construction, risk control strategies, and representative cases. [Result/Conclusion] The book develops an analytical framework for agent behavior in complex systems and establishes an integrated research system linking “mechanisms, models, strategies, and cases.” It systematically reveals the network interconnectedness, nonlinear thresholds, multi-channel diffusion, and dynamic evolution of counterparty credit risk. It proposes a risk governance approach that combines static prevention with dynamic intervention. By integrating finance, systems science, and complexity science, the book extends the analytical paradigm of counterparty credit risk contagion research and provides valuable theoretical references and practical implications for financial institution risk management, macroprudential regulation, and the prevention and control of systemic financial risk.