Yinglong Li | Deep Learning | Research Excellence Award

Posted on by Innovator Awards

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.

Citation Metrics (Google Scholar)

240180

120

60

0

Citations
234

h-index
8

i10-index
6

Citations
h-index
i10-index


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Featured Publications

Aristide Tolok Nelem | Multicriteria optimization | Research Excellence Award

Posted on by Innovator Awards

Dr. Aristide Tolok Nelem | Multicriteria optimization | Research Excellence Award

University of Ebolowa | Cameroon

Dr. Aristide Tolok Nelem is a dedicated academic and researcher specializing in renewable energy and electrical engineering. he serves as lecturer and head of the department of renewable energy at the higher technical teachers’ training college of the University of Ebolowa, where he also leads the computer and automation research group. his scholarly interests centre on developing low-environmental-footprint energy solutions, especially solar-powered and hybrid systems, combining experimental studies with modelling and simulation to address energy deficits. among his peer-reviewed contributions are studies such as “Optimal Placement and Sizing of Distributed Energy Generation in an Electrical Network Using the Hybrid Algorithm of Bee Colonies and Newton Raphson” and “Extraction of the Parameters of a Photovoltaic Solar Cell by a Metaheuristic Method Associated With the Lambert-W Function,” reflecting his commitment to advancing solar energy technologies. as of this writing, publicly accessible databases list at least two such articles under his authorship. however, comprehensive bibliometric indicators (h-index, total document count, total citation count) are not available or cannot be reliably verified from open sources.

Profile: Orcid 

Featured Publications 

Mbakop, F. K., Assoualaye, G., Tom, A., Tolok Nelem, A., Bidias, J. B., Leontie, L., Iacomi, F., & Djongyang, N. (2024). Effect of efficiency of a thermophotovoltaic GaSb solar cell subjected to 1D photonic crystal filter and double/multi-layer anti-reflective coatings. Transactions of the Indian National Academy of Engineering.

Ndzana, N. D. M., Tolok Nelem, A., Abanda, Y. A., Pesdjock, M. J. P., Ngouagna, M. V. T., Zeh, O. F., & Ele, P. (2024). Lithium-ion point-of-care ultrasound battery joint state of charge estimation. Scientific African, 15, e02232.

Tolok Nelem, A., Ele, P., Onanena, R., Olivier, V. B., Ngo Bissé, T. J., & Pesdjock, M. J. P. (2023). An application of multicriteria decision aid in switching state control of a hybrid electric power generation network. Journal of King Saud University – Engineering Sciences, 35(4), 1–12.

Tolok Nelem, A., Ele, P., Ndiaye, P. A., Essiane, S. N., & Pesdjock, M. J. P. (2021). Dynamic optimization of switching states of a hybrid power network. International Journal of Control, Automation and Systems, 19, 1–10.