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 -
SDG 11 Sustainable Cities and Communities -
SDG 14 Life Below Water
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Dive into the research topics where Yongqi Chang 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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Causal Meta-Learning Framework: A Co-Evolutionary Approach to Disentanglement and Generalization for Fault Diagnosis of Rotating Machinery
Yang, J., Yin, S., Chang, Y. & Li, Y., 2026, In: IEEE Transactions on Instrumentation and Measurement. 75, 3506021.Research output: Contribution to journal › Article › peer-review
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Corrosion Detection of Gearbox Based on Wavelet Time–Frequency Attention Fusion Network
Gao, T., Li, Y., Yang, J., Chang, Y., Fan, X. & Zhang, M., 2026, In: IEEE Transactions on Instrumentation and Measurement. 75, 3500113.Research output: Contribution to journal › Article › peer-review
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A multi-dictionary fusion method based on improved dynamic time warping for moveable rail damage localization
Song, S., Zhang, X., Chang, Y., Chen, Y., Cui, J., Song, Q. & Shen, Y., 28 Feb 2025, In: Measurement Science and Technology. 36, 2, 026138.Research output: Contribution to journal › Article › peer-review
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A multi-source domain feature-decision dual fusion adversarial transfer network for cross-domain anti-noise mechanical fault diagnosis in sustainable city
Wang, C., Jie, H., Yang, J., Gao, T., Zhao, Z., Chang, Y. & See, K. Y., Mar 2025, In: Information Fusion. 115, 102739.Research output: Contribution to journal › Article › peer-review
67 Link opens in a new tab Scopus citations -
An improved correlation-based adaptive joint sparse representation algorithm for multi-channel acoustic emission dynamic detection of rail damage
Song, S., Zhang, X., Shen, Y., Chen, Y., Chang, Y., Cui, J. & Song, Q., 31 Jul 2025, In: Measurement Science and Technology. 36, 7, 076101.Research output: Contribution to journal › Article › peer-review