Ting-Feng Wen

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Total Citations

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About

Ting-Feng Wen is a leading researcher at the intersection of artificial intelligence and human-computer interaction, with a primary focus on emotion recognition and intelligent conversational agents. His most cited work, "Study on emotion recognition and companion Chatbot using deep neural network" (2020), has garnered 65 citations, establishing him as a key contributor to affective computing. In this seminal paper, Wen pioneered the integration of deep neural networks for real-time emotion detection, enabling companion chatbots to respond empathetically to users' emotional states. This breakthrough has significant implications for mental health support, elderly care, and personalized digital assistants. Beyond this flagship study, Wen's research portfolio spans natural language processing, multimodal emotion analysis, and adaptive dialogue systems. His work is widely recognized for bridging the gap between technical deep learning architectures and practical, human-centered applications. With a growing citation impact, Wen continues to shape how machines understand and respond to human emotions, making him a vital figure in the development of emotionally intelligent AI systems that enhance well-being and social interaction.