Objective The auditory evoked potentials (AEP) of cochlear implant (CI) users contained CI-related artifact, which restrict the assessment for implantation effect. Functional imaging methods are not suitable for CI users due to the safety and invasiveness. The primary objective of this study is to investigate noise-reduction of event-related potentials (ERP) for CI users based on independent component analysis (ICA). It can provide more information on assessment for speech perception and implantation effect of CI users with AEP. Methods The standard (/ba/) and deviant stimuli (/da/) were presented in an oddball paradigm and the ERPs of cochlear implant users were recorded. ICA was used to remove the cochlear implant artifacts in ERP. The characteristic of waveform and brain topographic map of cochlear implant artifacts were analyzed. Ten CI users with device ‘switch on’ for six months took part in this experiment and the effect of artifacts removal with Infomax and Jade algorithms were compared. Results The cochlear implant artifacts could be recognized by the characteristic of the waveform and brain topographic maps of independent components. The waveform of cochlear implant artifacts resembled a pedestal and its brain topographic map showed higher potential on the implantation side. The ERP waveforms displayed reasonable morphologies after the removal of cochlear implant artifacts. The Imfomax algorithm was better to remove the CI-related artifacts in ERP. Conclusions The cochlear implant artifacts could be removed from ERP of cochlear implant users based on ICA.