Doctorate at Liaoning University, China
JING Yuan, also known as ζ―ζΊ, is a dedicated scholar and educator in the field of signal and information processing. With a strong background in communication engineering, he has pursued advanced studies, culminating in a Ph.D. from Dalian University of Technology. Dr. Yuan currently serves as an Associate Professor at Liaoning University, where he is actively engaged in teaching and research activities.
Author Metrics
Scopus Profile
Dr. Yuan’s academic profile is marked by a prolific publication record, with numerous papers appearing in reputable journals and conference proceedings. His work has garnered attention for its innovative approaches to addressing challenges in wireless communications, spectrum sensing, and signal processing. Additionally, he has demonstrated expertise in interdisciplinary research, as evidenced by his contributions to areas such as deep learning and acoustic source tracking.
Citations: Jing Yuan has received 92 citations from 91 documents.
Documents: There are 19 documents associated with Jing Yuan’s research.
h-index: The h-index is 6.
Education
Dr. Yuan’s academic journey began with a Bachelor’s degree in Communication Engineering from Liaoning Institute of Technology. He then pursued a Master’s degree in Communication and Information System at Yanshan University, where his research focused on image processing and signal processing techniques. Subsequently, he earned his Ph.D. in Signal and Information Processing from Dalian University of Technology, specializing in wireless communications and signal processing.
Research Focus
Throughout his career, Dr. Yuan has concentrated his research efforts on advancing the fields of wireless communications, signal processing, and related areas. His work encompasses topics such as OFDM systems, spectrum sensing algorithms, mobile primary user tracking in cognitive radio networks, and acoustic source tracking in distributed microphone networks. He has also explored the application of deep learning techniques for indoor localization and spatiotemporal feature extraction from channel state information.
Professional Journey
Since completing his Ph.D., Dr. Yuan has served as an Associate Professor at Liaoning University, where he is actively involved in teaching undergraduate and graduate courses. Concurrently, he continues to pursue research endeavors, collaborating with peers and mentoring students in the exploration of emerging technologies and methodologies in signal processing and wireless communications.
Honors & Awards
Dr. Yuan’s contributions to the field have been recognized through various honors and awards, reflecting his dedication to academic excellence and research innovation. These accolades underscore his impact on advancing knowledge and solving real-world problems in signal and information processing.
Publications Noted & Contributions
Dr. Yuan’s publications have made significant contributions to the advancement of knowledge in signal processing, wireless communications, and related fields. His research findings have been disseminated through prestigious journals such as IEEE Communications Letters and IEEE ACCESS, as well as leading conferences including IEEE SECON and IEEE ICSP. His work has been noted for its rigorous methodology, novel algorithms, and practical relevance to addressing challenges in modern communication systems.
Title: A distributed particle filter with sampling-based consensus density fusion for speaker tracking in distributed microphone networks
Journal: Applied Acoustics, 2024, 221, 110005
Abstract: The abstract for this article is currently not available.
Citations: This article has not been cited yet.
Title: Learning Spatiotemporal Features of CSI for Indoor Localization with Dual-Stream 3D Convolutional Neural Networks
Journal: IEEE Access, 2019, 7, pp. 147571β147585
Abstract: The abstract for this article is currently not available.
Citations: This article has received 18 citations.
Title: Acoustic source tracking based on adaptive distributed particle filter in distributed microphone networks
Journal: Signal Processing, 2019, 154, pp. 375β386
Abstract: The abstract for this article is currently not available.
Citations: This article has received 7 citations.
Title: Function-aware anomaly detection based on wavelet neural network for industrial control communication
Journal: Security and Communication Networks, 2018, 2018, 5103270
Abstract: The abstract for this article is currently not available.
Citations: This article has received 7 citations.
Title: Event-based anomaly detection for non-public industrial communication protocols in SDN-based control systems
Journal: Computers, Materials and Continua, 2018, 55(3), pp. 447β463
Abstract: The abstract for this article is currently not available.
Citations: This article has received 33 citations.
Research Timeline
Dr. Yuan’s research trajectory spans over a decade, beginning with his doctoral studies at Dalian University of Technology and continuing through his tenure at Liaoning University. Over the years, he has made notable contributions to various research projects, addressing key challenges in wireless communications, spectrum sensing, and signal processing. His research timeline reflects a sustained commitment to advancing knowledge and driving innovation in his field of expertise.
Collaborations and Projects
