Author: LI Mingxing 

Publisher: School of Intelligent Science and Engineering/School of Artificial Intelligence Industry 

Date: February 1st, 2024

In a remarkable achievement, the collaborative research efforts of Professor Qu Ting and Professor Li Mingxing from the esteemed School of Intelligent Science and Engineering/School of Artificial Intelligence Industry at JNU have been acknowledged with the distinction of having their paper titled Operation twins: production- intralogistics synchronization in Industry 4.0 selected as a highly cited paper in the field of ESI engineering.

(Screenshot of the paper)

Published online in July 2022 in the prestigious International Journal of Production Research, renowned for its impact factor of 9.2, the paper has garnered significant attention within the academic community. According to the latest data from Clarivate Analytics, the research findings presented in this paper have been cited an impressive 48 times by research teams worldwide in the Web of Science database since its official release. This notable achievement positions the paper within the top 1% of cited works in the global engineering domain.

Professor Li Mingxing, serving as the first author of the paper, and Professor Qu Ting, a key co-author, have demonstrated their expertise and innovative insights in the realm of ESI engineering through this groundbreaking research endeavor. Their contributions not only enrich the scholarly discourse but also underscore JNU's commitment to fostering cutting-edge research in the fields of intelligent science and artificial intelligence industry.

The research paper received funding from multiple prestigious sources, including the National Natural Science Foundation of China, the Guangdong Special Support Plan for local innovation and entrepreneurship teams, the Guangzhou Innovation Leading Team project, the national key research and development program, and the Macao Science and Technology Development Fund. 

You can access the full paper through the following link: [Research Paper Link] (https://www.tandfonline.com/doi/full/10.1080/00207543.2022.2098874)