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):
-
SDG 7 Affordable and Clean Energy -
SDG 13 Climate Action
Fingerprint
Dive into the research topics where Jia Wang is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
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
-
EFFECT OF INLET ANGLE ON THE MIXING PROCESS OF HYDROGEN-BLENDED NATURAL GAS IN VENTURI TUBE
Zhang, Z., An, Y., Xu, W., Wu, L., Wang, J. & Jia, G., 2024, CSAA/IET International Conference on Aircraft Utility Systems, AUS 2024. 13 ed. Institution of Engineering and Technology, Vol. 2024. p. 610-614 5 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
-
Estimation of SOH of Lithium-Ion Batteries Based on PSO-Bi GRU-Attention Network
Hou, Z., Xu, W., Jia, G., Wang, J. & Cai, M., 1 Feb 2024, In: Journal of the Electrochemical Society. 171, 2, 020550.Research output: Contribution to journal › Article › peer-review
Open Access19 Link opens in a new tab Scopus citations -
Application of the CMOR-EfficientNetV2 Network Method in Bearing Fault Diagnosis
Hou, Z. Y., Jia, G. W., Xu, W. Q., Wang, J. & Cai, M. L., 2023, 2023 9th International Conference on Fluid Power and Mechatronics, FPM 2023. Institute of Electrical and Electronics Engineers Inc., (2023 9th International Conference on Fluid Power and Mechatronics, FPM 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
2 Link opens in a new tab Scopus citations -
Deep Learning Neural Networks for Rolling Bearing Fault Diagnostic Classification
Ji, S., An, Y., Jia, G., Xu, W., Wang, J. & Cai, M., 2022, IET Conference Proceedings. 7 ed. Institution of Engineering and Technology, Vol. 2022. p. 976-980 5 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Link opens in a new tab Scopus citations -
Inverse Design of Materials by Machine Learning
Wang, J., Wang, Y. & Chen, Y., 1 Mar 2022, In: Materials. 15, 5, 1811.Research output: Contribution to journal › Review article › peer-review
Open Access98 Link opens in a new tab Scopus citations