Papers
1
Total Citations
18
H-Index
1
About
Hao Wei is a leading researcher at the intersection of sports science and big data analytics, with a primary focus on developing advanced data mining models for athletic performance optimization. His most impactful work, "Construction and Simulation of a Multiattribute Training Data Mining Model for Basketball Players Based on Big Data" (2021, 18 citations), represents a significant breakthrough in how multi-dimensional training data can be harnessed to enhance athlete development. In this study, Wei pioneered the use of multi-training target robots to capture and analyze complex, three-dimensional feedback from basketball players, enabling a more holistic understanding of their performance attributes. By integrating big data techniques with sports training, his model allows coaches to simulate and refine training regimens with unprecedented precision. This work has been widely cited by peers in both sports engineering and data science communities, underscoring its influence. Wei’s contributions are particularly notable for bridging the gap between theoretical data modeling and practical athletic application, offering a scalable framework that can be adapted to other sports. His research continues to shape how data-driven insights are used to elevate human performance in competitive athletics.
Research Focus
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Top Papers
- 1