Extended data:

According to the data of Essential Science Indicators (ESI) in September, 202 1 and 1 papers newly added by Dr. Wang Han's research group in our school of technology were selected as global 1% ESI papers.

Dr Wang Han is the first author and Yichun University is the first unit. The thesis "Low-complexity MIMO-FBMC Sparse Channel Parameter Estimation for Industrial Big Data Communication" was published in the top journal IEEE Transactions on Industrial Informatics in May, 20021.

ESI (Essential Science Indicators Database) is a basic analysis and evaluation tool for measuring the performance of scientific research and tracking the development trend of science, which was launched by the American Institute of Science and Technology Information, a world-famous academic information publishing institution, on 200 1.

Among them, ESI highly cited papers refer to papers published within 1% of a certain subject in recent ten years. At present, ESI highly cited papers have become one of the important evaluation index tools widely used in the world to evaluate the international academic level and influence of universities, academic institutions, countries and regions.