Soochow University


Soochow University is located in Suzhou, Jiangsu Province, bordering Shanghai on the east. Emerged in the rich cultural heritage of the region, Soochow University is carrying on its century-long traditions to join the city’s growth, striving to be a multi-disciplinary, research-based university with distinct features.

Leading academically and enhancing talent training

As a comprehensive university, Soochow University consists of 30 schools, covering a wide variety of subjects. Among them, 13 subjects (Chemistry, Physical Sciences, Material Science, Clinical Medicine, Engineering, Pharmacology and Toxicology, Biology and Biochemistry, Neuroscience and Behavioura Science, Molecular Biology and Genetics, Immunology, Mathematics, Computing Science and Agricultural Science) are listed among the global top 1% in Essential Science Indicators (ESI) field ranking, with Chemistry and Materials Science among the top 1‰, ranking 19th in China. In 2019, 19 researchers made the Global Highly Cited Researchers list, ranking the 5th among Chinese universities.

The university is committed to exploring new ways to foster top-notch talents and advancing education reform. It has established a Teachers College, Dongwu College, Jingwen Academy and Ziqing Academy to pilot reform on talent fostering. Together with the Red Cross Society of China and the International Federation of Red Cross and Red Crescent Societies, the university co-established the world’s first International Academy of Red Cross & Red Crescent in 2019, contributing to building a community of a shared future for all mankind.

Driving scientific innovation and cooperation

The university implements a ‘sky and ground’ strategy for science and technology development. It focuses on the frontiers of science and technology to conduct fundamental, cutting-edge research; while is also engaged in applied studies to address national and regional strategic needs. In 2014, it led the establishment of the Collaborative Innovation Center of Suzhou Nano Science and Technology (NANO-CIC), one of the first 14 approved national collaborative innovation centres. The university boasts 13 flagship innovation platforms, including the State Key Laboratory of Radiation Medicine and Protection, China National Clinical Research Centre for Haematological Diseases. It also established 22 international joint laboratories, such as the CAM-SU Genomic Resource Centre, in collaboration with Cambridge University. Through these platforms, Soochow University has gained a foothold in research on biomedicine, intelligent manufacturing and environmental protection, with breakthroughs in key technologies including hematopoietic stem cell transplantation, artificial hearts using magnetic levitation, and OLED lighting.

For eight consecutive years, the university was ranked among the top 20 universities domestically in the number of grant projects funded by the National Natural Science Foundation of China. According to a Nature Index supplement published in 2016, Soochow University was among the world’s fastest rising universities. It now ranks 39th worldwide in Nature Index.

Promoting university-industry collaboration to serve local development

Rooted in Suzhou, Soochow University is exploring a model to thrive with the city. The National University Science Park of Soochow University, launched in 2007, serves as a key platform for research transformation and innovation within the region.

Against the backdrop of the national strategies to enhance the integration of the Yangtze River Delta region and promote the Free Trade Zone, the university is seizing these unprecedented opportunities to integrate university and regional resources by establishing an integrated research centre in the Free Trade Zone’. Working with some of the best-known companies, including Huawei, Baidu and Qualcomm, it has co-founded 18 innovation platforms, and established 388 enterprise-based graduate student workstations, driving a total output value of over 30 billion RMB for enterprises. The NANO-CIC has incubated three companies and helped them go public, whose relevant products are widely used by renowned companies like Huawei, Microsoft and Xiaomi, and driving tens of billions RMB’s output value in the nanotechnology industry for the Suzhou Industrial Park.

Soochow University’s Custom Publishing on Nature.

Soochow University retains sole responsibility for content © 2020 Soochow University.

1 December 2019 - 30 November 2020

Region: Global
Subject/journal group: All

The table to the right includes counts of all research outputs for Soochow University published between 1 December 2019 - 30 November 2020 which are tracked by the Nature Index.

Hover over the donut graph to view the FC output for each subject. Below, the same research outputs are grouped by subject. Click on the subject to drill-down into a list of articles organized by journal, and then by title.

Note: Articles may be assigned to more than one subject area.

Count Share
422 194.03

Outputs by subject (Share)

Subject Count Share
Chemistry 252 133.49
Physical Sciences 206 76.09
Life Sciences 51 19.52
1 0.05
3 1.05
2 0.24
1 0.06
1 0.04
1 0.06
1 0.03
7 3.76
1 0.19
1 0.20
2 1.26
1 0.44
2 0.08
1 0.06
10 4.29
1 0.05
1 0.88
2 0.27
3 1.29
1 0.08
7 4.20
1 0.97
Earth & Environmental Sciences 3 1.04

Highlight of the month

Smart gloves that touch back

© Artur Kolomiyets/EyeEm/Getty Images

© Artur Kolomiyets/EyeEm/Getty Images

Smart gloves that give the wearer the physical sensations of touching virtual objects could enable remote training for precision tasks, such as performing surgery.

The complexity of the hand, from its myriad motions to the subtle senses at our fingertips, makes designing affordable yet high-performance gloves for human–machine interactions very challenging.

Now, a team that included researchers from Soochow University in China has built a stretchy smart glove with electric sensors along each finger and across the palm. One set of sensors detects the motion of picking up a virtual object, while another applies pressure to the hand to simulate touching that object.

The team used machine learning to teach the glove to recognize different shaped objects. They also tested it as a virtual computer mouse, to hold and swing a virtual baseball bat, and in virtual surgical training.

This touch technology could complement voice and image recognition to create a fuller virtual reality experience.

Supported content

  1. Science Advances 6, eaaz8693 (2020). doi: 10.1126/sciadv.aaz8693

View the article on the Nature Index

See more research highlights from Soochow University

More research highlights from Soochow University

1 December 2019 - 30 November 2020

International vs. domestic collaboration by Share

  • 56.84% Domestic
  • 43.16% International

Note: Hover over the graph to view the percentage of collaboration.

Note: Collaboration is determined by the fractional count (Share), which is listed in parentheses.

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