Congratulations to Mengyuan Liu's doctoral dissertation for being selected as the ESI Highly Cited

Congratulations to Dr. Mengyuan Liu for his article "Enhanced skeleton visualization for view invariant human action recognition", which was selected as one of the top 1% highly cited papers by ESI.

Note: In order to let the teachers and students of our school better understand the scientific research results of the university town, Shenzhen University Town Library will regularly push the "Shenzhen University Town ESI Data Newsletter" in the form of emails. According to the ESI update time, it will be issued every two months. For the fourth issue of 2019, please refer to it. ESI (Essential Science Indicators) is an indicator library and performance research tool based on the core collection of Web of Science database, with its unique discipline classification (22 disciplines). ESI collects statistics on papers in the SCIE and SSCI databases of all universities and scientific research institutions in the world for the past 10 years (updated every two months), and determines the thresholds for measuring research performance according to the frequency of citations, ranking them among the world’s top 1% of research institutions, scientists, and research papers, the top 50% of countries/regions in the world, and the top 0.1% of hot papers, the top 1% of ESI disciplines have become recognized indicators for evaluating the academic international influence of research universities. ESI Highly Cited Papers are papers that are ranked within the top 1% of the corresponding 22 subject areas by ESI statistics. It reflects the influence of the paper from a literature perspective. The number of ESI highly cited papers has now become a measure of scientific research by schools or researchers. One of the important indicators of influence. ESI database address: https://esi.clarivate.com

  Pattern Recognition (PR) is the top international journal in the field of pattern recognition, with an impact factor (IF): 3.707.

Mengyuan Liu/b>：Direct PhD student of 2012
Research direction：Computer vision
Contributed paper：Enhanced skeleton visualization for view invariant human action recognition
Journal of Contribution：Pattern Recognition(PR)