Objective: The present study aims to provide a comprehensive review of the literature on fit evaluation methods for filtering facepiece respirators (FFRs) and identify research directions in future. Background: Effective fit evaluation methods are needed for the design and certification of FFRs. Method: A literature review was conducted on 77 papers selected as relevant to FFR fit evaluation by screening titles, abstracts, and full texts. Results: Fit evaluation methods for FFRs were classified in the present study mainly into human-based and non-human based (using a headform or simulation) methods and their corresponding protocols and issues of validation were summarized accordingly. Furthermore, the positive and negative features of human-based and non-human based methods were compared in terms of convenience, cost-effectiveness, representativeness, and applicability. Conclusion: Non-human based fit evaluation methods need to be developed because they are more convenient, cost-effective, representative, and applicable than humanbased methods. Application: This work provides comprehensive information on FFR fit evaluation methods and can guide the development of effective fit evaluation methods for various contexts.