Position in the ranking is based on each scientist’s D-index using data compiled from Microsoft Graph
by December 6th 2021.
This ranking lists all the best researchers from the Computer Science discipline and
affiliated with Chinese University of Hong Kong, Shenzhen.
There are a total of 11 researchers included with 5 of them also being included in the global ranking.
The total sum for the D-index values for the best scientists
in Chinese University of Hong Kong, Shenzhen is 707 with a mean value for
the h-index of 64.27. The total sum of
publications for the best scientists in Chinese University of Hong Kong, Shenzhen is 2,960 with the
mean value for publications per scientist of 269.09.
Chinese University of Hong Kong, Shenzhen
Chinese University of Hong Kong, Shenzhen (CUHK) is a private university in Shenzhen, Guangdong, China. It was established in 2012 as a joint venture between the Chinese University of Hong Kong and Shenzhen University. It is approved by the Ministry of Education of the People’s Republic of China. Officially recognized by the Department of Education of the Guangdong Province, CUHK is known for its comprehensive programs in management and financial engineering.
Chinese University of Hong Kong, Shenzhen Key Statistics
CUHK’s educational structure is divided into several schools. These include the School of Science and Engineering, the School of Humanities and Social Science, the School of Life and Health Sciences, and the School of Management and Economics. It offers undergraduate and postgraduate courses in diverse areas of study, including education, social science, medicine, and economics.
It has a student population of more than 3,000 undergraduates and postgraduates. The university also employs over 600 academic and administrative staff members.
Other Chinese University of Hong Kong, Shenzhen key statistics are its wide range of academic and administrative facilities that include residential halls, fitness equipment, a bookstore, dining halls, and counseling services. It also has a comprehensive library system that maintains a collection of Chinese and foreign books, journals, periodicals, magazines, course reserves, research guides, and audio-visual resources.
Chinese University of Hong Kong, Shenzhen Research
One of the most active research institutions in Guangdong Province, CUHK’s research activities are funded through grants and fellowships awarded by public and private organizations such as the National Natural Science Foundation of China, the Natural Science Foundation of Guangdong Province, and the Research Grants Council of the University Grants Commission.
The top three Chinese University of Hong Kong, Shenzhen research fields are computer science, medicine, and artificial intelligence. Its researchers, students, and faculty members have also attended global research conferences and symposiums such as Robotics and Biomimetics, the Medical Image Computing and Computer-Assisted Intervention, and the International Conference of the IEEE Engineering in Medicine and Biology Society.
Its most popular research output is Klionsky et al.’s (2016) “Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition),” which was published in Autophagy and has 4,477 citations to date. CUHK’s second most cited research work is Liu et al.’s (2015) “ICCV – Deep learning face attributes in the wild,” which was presented in the 2015 IEEE International Conference on Computer Vision and has been cited 3,935 times so far.
Furthermore, its third most cited research work is Zhang et al.’s (2016) “Joint face detection and alignment using multitask cascaded convolutional networks.” This article, which talks about the ability of multitasking cascaded convolutional networks to detect and align joint faces, was published in IEEE Signal Processing Letters and has been cited 2,768 times.
Meanwhile, there are several scientific Chinese University of Hong Kong, Shenzhen research centers and institutes on its premises. These include the Kobilka Institute of Innovative Drug Discovery, the Shenzhen Research Institute of Big Data, the Hopcroft Institute for Advanced Study in Information Sciences, and the Ciechanover Institute of Precision and Regenerative Medicine.
D-index (Discipline H-index) only includes papers and citation values for an examined discipline in
contrast to General H-index which accounts for publications across all disciplines.
Our research was coordinated by Imed Bouchrika, PhD, a computer scientist with a well-established record
of collaboration on a number of international research projects with different partners from the academic
community. His role was to make sure all data remained unbiased, accurate, and up-to-date.
We list only scientists having Microsoft Academic Graph D-Index >= 30 within the area of
Computer Science. If you or other scholars are not listed, we appreciate if you can