12 citations as recorded by crossref.

1. PI controller scheme for charge balance in implantable electrical stimulators C. RATHNA https://doi.org/10.1007/s12046-016-0461-3
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3. Modular Current Stimulation System for Pre-clinical Studies S. Mottaghi et al. https://doi.org/10.3389/fnins.2020.00408
4. Characterization of the stimulus waveforms generated by implantable pulse generators for deep brain stimulation S. Lempka et al. https://doi.org/10.1016/j.clinph.2018.01.015
5. A biphasic current-mode stimulator integrated circuit with a novel residual charge compensation mechanism B. Nath et al. https://doi.org/10.1016/j.vlsi.2023.03.003
6. A Chronically Implantable Neural Coprocessor for Investigating the Treatment of Neurological Disorders S. Stanslaski et al. https://doi.org/10.1109/TBCAS.2018.2880148
7. Hybrid neuroelectronics: towards a solution-centric way of thinking about complex problems in neurostimulation tools S. Drakopoulou et al. https://doi.org/10.3389/felec.2023.1250655
8. Flexible Charge Balanced Stimulator With 5.6 fC Accuracy for 140 nC Injections S. Nag et al. https://doi.org/10.1109/TBCAS.2012.2205574
9. The software defined implantable modular platform (STELLA) for preclinical deep brain stimulation research in rodents F. Plocksties et al. https://doi.org/10.1088/1741-2552/ac23e1
10. Retinal Stimulator ASIC Architecture Based on a Joint Power and Data Optical Link W. Lemaire et al. https://doi.org/10.1109/JSSC.2020.3045141
11. Moving Fast-Scan Cyclic Voltammetry toward FDA Compliance with Capacitive Decoupling Patient Protection J. Siegenthaler et al. https://doi.org/10.1021/acssensors.9b02249
12. Does a coupling capacitor enhance the charge balance during neural stimulation? An empirical study M. van Dongen & W. Serdijn https://doi.org/10.1007/s11517-015-1312-9