Dr. Yinglong Li | Deep Learning | Research Excellence Award
Associate Professor | Zhejiang University of Technology |China
Yinglong Li demonstrates strong academic and research excellence, supported by a solid portfolio of publications, patents, and externally funded projects. His 22 SCI/Scopus-indexed journal papers, more than 140 Web of Science citations, and a steadily increasing h-index reflect both productivity and growing scholarly influence. His contributions are further validated through documented outputs such as two published textbooks (ISBN: 9787302557425, 9787115415400), ten patents, and verified academic profiles including Google Scholar and institutional webpages. Strengths include his ability to integrate privacy protection, deep learning, and computer vision into practical AI solutions, as evidenced by consultancy projects with industry partners in marine systems and smart security. His research has consistently translated into deployable, high-impact technologies, demonstrating maturity in innovation and applied problem-solving. Areas for improvement include expanding international collaborations, enhancing cross-disciplinary engagement with emerging domains such as trustworthy AI governance, and increasing participation in editorial boards or leadership roles in prestigious conferences, which would further elevate his global visibility. Moving forward, his research has strong potential to contribute significantly to privacy-preserving intelligent systems, multimodal vision architectures, and secure data ecosystems for smart cities. With a well-documented research track record, growing citation metrics, and scalable research themes aligned with global technological needs, he is positioned for continued advancement and wider impact in the AI research community.
240180
120
60
0
234
8
6
h-index
i10-index
Featured Publications
The discovery of personally semantic places based on trajectory data mining
– Neurocomputing, 2016 (Cited 91)
Droidvecdeep: Android malware detection based on word2vec and deep belief network
– KSII Transactions on Internet & Information Systems, 2019 (Cited 45)
Clustering-based routing for top-k querying in wireless sensor networks
– EURASIP Journal on Wireless Communications and Networking, 2011 (Cited 16)
Human action recognition based on HOIRM feature fusion and AP clustering BOW
– PLOS ONE, 2019 (Cited 12)
Event-based k-nearest neighbors query processing over distributed sensory data using fuzzy sets
– Soft Computing, 2019 (Cited 11)