Abstract: With the breakthrough progress and accelerated industrial expansion of brain-computer interface (BCI) technology, its ethical implications have increasingly garnered academic attention. Based on scientometrics and combined with interdisciplinary and risk-evolution analytical perspectives, this study examines the landscape, knowledge base, and research hotspots in international BCI ethics: (1) Publications on BCI ethics demonstrate a three-stage evolutionary trajectory, with fluctuations closely linked to technological cycles, social events, and policy shifts, culminating in 2024 as a window of explosive growth. (2) Bioethics, cognitive neuroscience, and machine ethics form a modular interdisciplinary citation network spanning normative values, technical pathways, and human-machine collaboration frameworks, thereby supporting a multidimensional theoretical foundation. (3) Research hotspots have formed clusters in the fields of subject, technology, and society, highlighting the dynamic characteristics of risk evolution. (4) With the deepening of brain-computer integration, issues concerning the neural rights of integrated subjects and social acceptance urgently require attention. Based on the assessment of the current situation, future research should focus on interdisciplinary empirical collaboration, driving industrial optimization and upgrading, and promoting decentralized network governance, so as to contribute to the improvement and development of global research on BCI ethics.