Shuihua Wang

Associate Professor

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Research activity per year

Personal profile

Personal profile

Dr. Shuihua Wang received her Ph.D. degree from Nanjing University in 2017. She worked as Assistant Professor at Nanjing Normal University (2013-2018) and served as a Research Associate at Loughborough University (2018-2019), at the University of Leicester (2019-2021) and Lecturer at the University of Leicester (2021-2023). Now, she is working as an Associate Professor at Xi'an Jiaotong-Liverpool University. Her research interests focus on Machine learning, Deep learning, Image processing, Information fusion, Data analysis, MRI sensors, CT sensors. She serves as a professional reviewer for many well-reputed journals and conferences including IEEE Transactions on Neural Networks and Learning Systems, NeuroComputing, Pattern Recognition, Scientific Reports, etc. She serves as Guest Editor of Information Processing and Management, IEEE Journal of Biomedical and Health Informatics, IEEE/ACM Transactions on Computational Biology and Bioinformatics and Measurement, Scientific Reports. She serves as Associate Editor of Information fusion, Neural Networks, and IEEE Transactions on Circuits and Systems for Video Technology (TCSVT).

Research interests

MRI sensors, CT sensors

Image processing

Multi-view data analysis

Large scale data analysis

Artificial Intelligence

Information fusion

Biomedical Data analysis


8/2023- Associate Professor, School of Sciences, Xi'an Jiaotong - Liverpool University.

11/2021-7/2023, Lecturer, School of Computing and Mathematical Sciences, University of Leicester.

5/2019-10/2021, Research Associate, School of Mathematics and Actuarial Science, University of Leicester.

7/2018-4/2019, Research Associate, School of Architecture, Building and Civil Engineering, Loughborough University.

5/2018-7/2018, Part-time Research Assistant, School of Mathematics and Actuarial Science, University of Leicester.

6/2013-5/2018, Assistant Professor, School of Computer Science and Technology, Nanjing Normal University.


BIO216 Aritificial Intelligence for Life Science

Awards and honours

Best abstract award: Implementing the use of artificial intelligence (AI) to distinguish between normal and abnormal development of the fovea, BIPOSA 2019, Edinburgh, United Kingdom.

2019, 2022, 2023 Highly cited researcher (Clarivate)

2020, 2021, 2022, 2023 Chinese Highly Cited Researcher by Elsevier

2022 Annual Best Paper Award by Journal of Information Fusion.

2023 Stanford Top 2% Scientist




Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 10 - Reduced Inequalities
  • SDG 16 - Peace, Justice and Strong Institutions

Education/Academic qualification

9/2013-9/2017, Ph.D., Electronic Engineering, Nanjing University, China.

1/2011-6/2012, M.S., Electronic Engineering, The City College of New York, USA.

9/2004-7/2008, B.S., Information Science and Technology, Southeast University, China.

Person Types

  • Staff

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Collaborations and top research areas from the last five years

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