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 13 Climate Action
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Dive into the research topics where SU KIT TANG 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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A Multi-Aspect Feature Dependency Screening for Augmentation of Derivative Feature Space Boosting Deep Learning Training: A Case of Air Quality in Subtropical Areas
Tam, B. C. M., Tang, S. K. & Cardoso, A., 2026, In: IEEE Access. 14, p. 15635-15651 17 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Internet gaming disorder, attention deficit hyperactivity disorder and learning in adults: a systematic review
Zhou, X., Chen, J., Yao, J., Chui, D. T. & Tang, S. K., 2026, In: Frontiers in Psychiatry. 16, 1735922.Research output: Contribution to journal › Review article › peer-review
Open Access -
Robust Sentiment and Semantic Analysis of Small and Medium-Sized News Headline Datasets: A Study on Sports, Science, and Agricultural Domains
Liang, Z., Lai, P., Su, G., Wu, R., Tang, S. K. & Wong, D., 2026, In: IEEE Access. 14, p. 3852-3896 45 p.Research output: Contribution to journal › Article › peer-review
Open Access -
A Multi-Seasonal SS-MSTL-DR Approach With Efficient Training Using Deep Learning and LLaMA: A Case Study of 6-Element Air Quality Prediction in a Subtropical City
Tam, B. C. M., Tang, S. K. & Cardoso, A., 2025, In: IEEE Access. 13, p. 172542-172561 20 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Application of machine learning in higher education to predict students’ performance, learning engagement and self-efficacy: a systematic literature review
Chen, J., Zhou, X., Yao, J. & Tang, S. K., 25 Mar 2025, In: Asian Education and Development Studies. 14, 2, p. 205-240 36 p.Research output: Contribution to journal › Review article › peer-review
11 Citations (Scopus)