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 2 Zero Hunger -
SDG 3 Good Health and Well-being -
SDG 7 Affordable and Clean Energy
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Dive into the research topics where Jinwei Sun 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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Comparison between Josephson arbitrary waveform synthesizers using a cross-correlation technique
Han, Q., Zhou, K., Zhong, Y., Lu, Q., Chen, B., Yang, Y., Shi, Y., Li, J., Liu, J., Sun, J. & Qu, J., 24 Mar 2026, In: Measurement: Journal of the International Measurement Confederation. 266, 120421.Research output: Contribution to journal › Article › peer-review
Open Access -
Human Body Modeling for Heterogenous Signal Fusion Based on ToF and Millimetre Wave
Zhao, B., Wang, Q., Liu, D., Zhang, M., Zhu, J., Mouthaan, K. & Sun, J., 2026, (Accepted/In press) In: IEEE Transactions on Instrumentation and Measurement.Research output: Contribution to journal › Article › peer-review
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Improving soil property measurement with geometric-spectral coupling-based spectral data augmentation using conditional variational autoencoders
Tang, J., Liu, D., Wang, Q., Li, J. & Sun, J., 15 Jan 2026, In: Measurement: Journal of the International Measurement Confederation. 257, 118875.Research output: Contribution to journal › Article › peer-review
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PEEG-HAR: A novel pain-evoked EEG extraction method guided by the adaptive localization of high-activation-rate pain-related EEG sources
Gao, W., Liu, D., Wang, Q., Zhao, Y. & Sun, J., 15 Jun 2026, In: Biomedical Signal Processing and Control. 119, 109725.Research output: Contribution to journal › Article › peer-review
Open Access -
RE-HPBS-IPIC: A Resting EEG- and High-Activation Pain Brain Source-Driven Framework for Inter-Subject Pain Intensity Classification
Gao, W., Liu, D., Wang, Q., Zhao, Y. & Sun, J., 2026, (Accepted/In press) In: IEEE Journal of Biomedical and Health Informatics.Research output: Contribution to journal › Article › peer-review