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 7 Affordable and Clean Energy
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Dive into the research topics where Feng Qian 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
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Vortex-induced vibration control of wind turbine towers using a tuned mass damper-inerter: The method of multiple scales analysis
Qian, F. & Liao, Y., Apr 15 2026, In: Engineering Structures. 353, 122188.Research output: Contribution to journal › Article › peer-review
1 Link opens in a new tab Citation (SciVal) -
Predicting dynamic responses of piezoelectric energy harvesters using Long Short-Term Memory (LSTM) neural networks
Liao, Y., Qian, F., Zhang, R. & Lan, C., 2025, Active and Passive Smart Structures and Integrated Systems XIX. Li, X., Chen, Y., Huang, G., Nouh, M. A., Sugino, C., Tol, S. & Yang, J. (eds.). SPIE, 134320U. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 13432).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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VORTEX INDUCED VIBRATION CONTROL OF WIND TURBINE TOWERS USING TUNED MASS DAMPER INERTER
Qian, F. & Liao, Y., 2025, 19th International Conference on Micro- and Nanosystems (MNS); 21st International Conference on Multibody Systems, Nonlinear Dynamics, and Control (MSNDC); 37th Conference on Mechanical Vibration and Sound (VIB); 38th Fluid Power and Motion Control Symposium (FPMC). American Society of Mechanical Engineers (ASME), v006t11a017. (Proceedings of the ASME Design Engineering Technical Conference; vol. 6).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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A study on the electrically induced damping in piezoelectric energy harvesting for broadband, high-performance power generation
Liao, Y., Qian, F., Lo, Y. C. & Shu, Y. C., May 1 2024, In: Energy Conversion and Management. 307, 118374.Research output: Contribution to journal › Article › peer-review
14 Link opens in a new tab Scopus citations -
Long short-term memory (LSTM) neural networks for predicting dynamic responses and application in piezoelectric energy harvesting
Liao, Y., Qian, F., Zhang, R. & Kumar, P., Jul 2024, In: Smart Materials and Structures. 33, 7, 075005.Research output: Contribution to journal › Article › peer-review
8 Link opens in a new tab Scopus citations