Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 11 Sustainable Cities and Communities -
SDG 14 Life Below Water
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Dive into the research topics where Yongbo Li is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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A Comprehensive Review of the State of the Art in Generative Models for Aerodynamic Configuration Design of Aircraft
Zhao, H., Li, C., Zhang, X., Luo, Y., Shu, B., Gong, Z. & Li, Y., 2026, (Accepted/In press) In: Archives of Computational Methods in Engineering.Research output: Contribution to journal › Review article › peer-review
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Adaptive demodulation based spectral encoded Lempel-Ziv complexity as nonlinear measure for prognostic maintenance of rolling element bearing
Noman, K., Ashfak, K., Navid, W. U., Li, Y., Haruna, A., Wang, S., Ahmed, Z. & Jinyu, B., 30 Jan 2026, In: Measurement: Journal of the International Measurement Confederation. 258, 119440.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
A Geometric Localization-Based Lamb-Wave-Assisted Method for Precise Damage Localization in Composite Materials
Zhang, Z., Xu, J., Li, D. & Li, Y., 3 Mar 2026, Moving Integrated Product Development to Service Clouds in the Global Economy - Proceedings of the 21st ISPE Inc. International Conference on Concurrent Engineering, CE 2014. Lei, X. (ed.). IOS Press BV, p. 96-103 8 p. (Advances in Transdisciplinary Engineering; vol. 87).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
Combined use of multiple entropy and weighted square envelope for remaining useful life prediction of railway gearbox with Bayesian deep learning
Chen, Y., Wang, T., Bai, R., Li, D. & Li, Y., Jan 2026, In: JVC/Journal of Vibration and Control. 32, 1-2, p. 118-128 11 p.Research output: Contribution to journal › Article › peer-review
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Employing natural language processing to build a knowledge graph in the realm of additive manufacturing
Haruna, A., Noman, K., Li, Y., Li, L., Wang, X., Ashfak, K. & Alhassan, A. B., May 2026, In: Journal of Intelligent Manufacturing. 37, 5, p. 1931-1955 25 p.Research output: Contribution to journal › Article › peer-review
2 Scopus citations