Zhiqiang Wang is a dedicated researcher specializing in cyberspace security. With a Ph.D. in Information Security from Xidian University, Wang has established himself as a prominent figure in the field. His research interests lie in the intersection of deep learning, blockchain technology, and cybersecurity, with a focus on developing innovative solutions to tackle emerging threats in the digital landscape. Wang’s expertise and contributions have earned him recognition both nationally and internationally.
Author Metrics
Scopus Profile
ORCID Profile
Zhiqiang Wang’s contributions to academia are underscored by his impressive author metrics. With numerous publications in reputable journals and conferences, Wang has demonstrated his prolificacy and impact in the field of cyberspace security. His works have been cited extensively, reflecting their significance and influence within the academic community. Wang’s author metrics serve as a testament to his scholarly contributions and expertise in the domain.
- Citations: 296 citations from 286 documents
- Documents: 71 documents
- h-index: 8
Education
Zhiqiang Wang embarked on his academic journey by obtaining a Bachelor of Science degree in Computer Science and Technology from Beijing Electronic Science and Technology Institute. He further pursued his passion for research by earning a Ph.D. in Information Security from Xidian University. Wang’s academic background equipped him with a strong foundation in computer science and laid the groundwork for his subsequent contributions to cyberspace security research.
Research Focus
Wang’s research focuses on advancing the field of cyberspace security through interdisciplinary approaches. His primary interests encompass deep learning, blockchain technology, malware detection, and network security. Wang is committed to developing novel methodologies and algorithms to address the evolving challenges posed by cyber threats. By leveraging cutting-edge technologies, he aims to enhance the resilience of digital infrastructures and safeguard against malicious activities in cyberspace.
Professional Journey
Zhiqiang Wang’s professional journey is marked by a series of academic appointments and research positions. He began his career as an Assistant Professor at Beijing Electronic Science and Technology Institute, where he conducted groundbreaking research in cyberspace security. Subsequently, Wang assumed roles as an Associate Professor and Postdoctoral Researcher, further solidifying his expertise in the field. His career trajectory reflects his dedication to advancing cybersecurity knowledge and fostering academic excellence.
Honors & Awards
Throughout his career, Zhiqiang Wang has received numerous honors and awards in recognition of his contributions to cyberspace security research. His exemplary achievements have been acknowledged by prestigious institutions and organizations, underscoring his impact on the field. Wang’s accolades serve as a testament to his exceptional talent, dedication, and scholarly accomplishments in advancing cybersecurity knowledge and practices.
Publications Noted & Contributions
Zhiqiang Wang’s publications are notable for their significance and impact in the field of cyberspace security. His research contributions span a wide range of topics, including blockchain technology, malware detection, and network security. Wang’s publications have garnered attention for their innovative methodologies and practical implications, contributing to the advancement of cybersecurity knowledge and practices.
Title: A Method for Generating Geometric Image Sequences for Non-Isomorphic 3D-Mesh Sequence Compression
Authors: Gao, Y., Wang, Z., Wen, J.
Journal: Electronics (Switzerland), 2023, 12(16), 3473
Abstract: The abstract for this article is not available.
Title: Research on Medical Security System Based on Zero Trust
Authors: Wang, Z., Yu, X., Xue, P., Qu, Y., Ju, L.
Journal: Sensors, 2023, 23(7), 3774
Abstract: The abstract for this article is not available.
Title: Multi-step Review Generation Based on Masked Language Model for Cross-Domain Aspect-Based Sentiment Analysis
Authors: Ju, L., Lv, X., Wang, Z., Miao, Z.
Proceedings: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2023, 14302 LNAI, pp. 723–735
Abstract: The abstract for this conference paper is not available.
Title: Review Generation Combined with Feature and Instance-Based Domain Adaptation for Cross-Domain Aspect-Based Sentiment Analysis
Authors: Lv, X., Wang, Z., Ju, L.
Proceedings: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2023, 14303 LNAI, pp. 813–825
Abstract: The abstract for this conference paper is not available.
Title: A Few-Shot Malicious Encrypted Traffic Detection Approach Based on Model-Agnostic Meta-Learning
Authors: Wang, Z., Li, M., Ou, H., Pang, S., Yue, Z.
Journal: Security and Communication Networks, 2023, 2023, 3629831
Abstract: The abstract for this article is not available.
Research Timeline
Wang’s research timeline illustrates the evolution of his scholarly pursuits and contributions over the years. Beginning with his doctoral studies, Wang has consistently engaged in cutting-edge research projects aimed at addressing key challenges in cyberspace security. His research trajectory is characterized by a progression from foundational studies to more specialized investigations, reflecting his growing expertise and dedication to advancing the field.
Collaborations and Projects
Zhiqiang Wang has actively collaborated with peers and experts in academia and industry to tackle complex challenges in cyberspace security. Through collaborative projects, Wang has contributed to the development of innovative solutions and technologies aimed at enhancing cybersecurity resilience and mitigating emerging threats. His collaborative endeavors underscore the importance of interdisciplinary cooperation in addressing the multifaceted nature of cybersecurity challenges.
