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To characterize patterns of psychological resilience in gastric cancer survivors using latent profile analyses and to explore the factors influencing these latent profiles based on Kumpfer's resilience framework. Five hundred eighty-six gastric cancer survivors were recruited between July 30, 2021, and May 1, 2023. A demographic and clinical characteristics questionnaire, Connor and Davidson's Resilience Scale (CD-RISC), Fear of Progression Questionnaire Short Form (FoP-Q-SF), General Self-efficacy Scale (GSES), Medical Coping Modes Questionnaire (MCMQ), and Social Support Rating Scale (SSRS) were used for the investigation. Latent profile analysis of the resilience of gastric cancer survivors was conducted, and the factors influencing the latent profiles were explored by multivariate logistic regression analysis. A total of 586 questionnaires were collected, and 572 were valid, with an effective recovery rate of 97.61%. The results of latent profile analysis showed that the resilience of gastric cancer survivors was divided into four subgroups, namely, the low-resilience group (18.4%), moderate-resilience group (43.2%), medium-high-resilience group (30.2%), and high-resilience group (8.2%). Multivariate logistic regression analysis showed that fear of disease progression, self-efficacy, medical coping mode and social support were influencing factors of subgroups. Psychological resilience in gastric cancer survivors is individualized. Nurses should assess risk and protective factors for survivor resilience based on Kumpfer's resilience framework, identify unique needs, and develop new approaches and interventions. • Resilience in gastric cancer survivors has individual characteristics. • Four latent profiles of resilience are identified in gastric cancer survivors. • High fear of progression and low self-efficacy are present in the low-resilience group of patients. • Patients in the high-resilience group have high social support and tend to choose confrontational coping. • Psychological interventions should be tailored according to the resilience characteristics of different subgroups. [ABSTRACT FROM AUTHOR]