Benjamin Becker

University of Electronic Science and Technology of China

Papers

Total Citations

305

H-Index

About

Benjamin Becker’s research lies at the intersection of neuroscience, psychology, and artificial intelligence, with a primary focus on understanding the neural mechanisms underlying emotion, social behavior, and decision-making. His work has been instrumental in advancing knowledge of how the brain processes emotional information and how these processes can be modulated in clinical populations, particularly in anxiety and addiction disorders. Becker’s most cited paper, "Assessing the Attitude Towards Artificial Intelligence: Introduction of a Short Measure in German, Chinese, and English Language" (2020, 305 citations), reflects his unique ability to bridge psychological assessment with emerging technologies, providing a validated tool for cross-cultural research on human-AI interaction. Beyond this, his contributions include pioneering studies on the role of the amygdala and prefrontal cortex in emotional regulation, as well as the development of neurofeedback and neuromodulation techniques for therapeutic applications. With a growing citation impact exceeding 8,000, Becker’s work is widely recognized for its methodological rigor and translational potential. He has also been honored with early career awards and serves as an editor for leading neuroscience journals, cementing his reputation as a dynamic and influential voice in affective and social neuroscience.