[Aim] Ecological niche modeling is widely used in studies of biological invasion and conservation. Among available models, MaxEnt is the most popular and widely used model. Recent studies, nonetheless, showed that MaxEnt models tend to overfitting, and it may not be the ideal model when using default setting, especially for species with small sampling size.[Method] We investigated the influence of three parameters (i.e. feature combination, regularization multiplier, and maximum number of background points) on MaxEnt modeling of ecological niche and geographic distributions using the marmorated stink bug (Halyomorpha halys, Heteroptera) as a case study. Native niche models were calibrated for H. halys in eastern Asia and transferred worldwide for comparison and evaluation. Response curves of the species to environmental variables, projections of potential distribution in ecological spaces, and the variation of these potential distributions were used to investigate the effects.[Result] Feature combinations had significant effects on MaxEnt modeling outcomes of ecological niches and geographic distributions, followed by the regularization multiplier; the maximum number of background points had the least effect. We found that response curves based on features of hinge and threshold were more complicated than that based on the others; the response curves became more smooth as the regularization multipliers increased.[Conclusion] Ecological requirement of the species in its ecological space should be considered when fitting a MaxEnt model, the influence of the Maxent parameters on modeling ecological niches and geographical distributions should also be considered, rather than simply based on default settings.