Scientist

The petition was approved based on the satisfaction of at least three EB-1A criteria, including 16 peer-reviewed journal articles and 4 book chapters. The petitioner demonstrated significant influence through 456 citations and the completion of at least 10 peer reviews for scholarly journals. The evidence established that the petitioner's AI-powered computational methods are actively used by leading research institutions worldwide.

The petition was approved based on the petitioner's authorship of 23 peer-reviewed journal articles and 10 conference abstracts, which garnered 576 citations. Additionally, the petitioner demonstrated significant professional standing by completing at least 54 manuscript reviews for high-impact journals. The evidence satisfied the EB-1A criteria for scholarly articles, judging the work of others, and original contributions of major significance.

The petition was approved based on the satisfaction of at least three EB-1A criteria: authorship of 16 peer-reviewed journal articles, a high citation count of 1,042 according to Google Scholar, and the completion of 21 peer reviews for scientific journals. Additionally, the work was supported by competitive funding from the National Science Foundation of China (NSFC) and the Science and Technology Program of Guangzhou.

The petition was approved based on a scholarly portfolio of 15 peer-reviewed publications in top-tier journals like Nature Methods and PNAS, which garnered 254 citations. The petitioner demonstrated professional standing through over 18 peer reviews for high-impact journals and service on editorial boards. Additionally, the research attracted funding from prestigious bodies including the NIH, NSF, and National Cancer Institute.