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生物醫(yī)學微機電器件與系統(tǒng)（MEMS for Biomedical Applications） 

醫(yī)學成像技術（Medical Imaging） 

微納超聲傳感器及系統(tǒng)（Micro-machined Ultrasound Transducers） 

在國內外會議和重要學術期刊上發(fā)表多篇論文，引用合計820余次，其中一作文章單篇最高引用121次 (截至2020年10月) 

1.      Billen Margo, Hang Gao, Dries Tabruyn, Eloi Marigo, Mohan Soundara-Pandian, Philippe Helin, and Veronique Rochus. Multi-frequency imaging with a CMOS compatible scandium doped aluminum nitride pMUT array. In 2021 IEEE 34th International Conference on Micro Electro Mechanical Systems (MEMS), pp. 907-910. IEEE, 2021. 

2.      Hang Gao, Pieter Gijsenbergh, ShengPing Mao, Alexander Halbach, Yongbin Jeong, David Cheyns, Xavier Rottenberg, and Veronique Rochus. Reconstructing mid-air acoustic holograms using pMUT arrays: a simulation study. In 2019 20th International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems (EuroSimE), pp.1–4. IEEE, 2019.（獲得優(yōu)秀論文獎） 

3.      Hang Gao, Pieter Gijsenbergh, Alexandre Halbach, Clea Parcerisas Serrahima, Guilherme Brondani Torri, Yongbin Jeong, Margo Billen et al. Design of polymer-based pMUT array for multi-frequency ultrasound imaging. In 2019 IEEE International Ultrasonics Symposium (IUS), pp.1092-1095. IEEE, 2019. 

4.      Emre Gürel, Christian Prinz, Lieve Van Casteren, Hang Gao, RikWillems, Jens-Uwe Voigt. The impact of function-flow interaction on left ventricular efficiency in patients with conduction abnormalities: a particle image velocimetry and tissue Doppler study. Journal of the American Society of Echocardiography (JASE), 2016, 29(5): 431-440. 

5.      Hang Gao, Nathalie Bijnens, Damien Coisne, Mathieu Lugiez, Marcel Rutten, and Jan D’hooge. 2D left ventricular flow estimation by combining speckle tracking with navier–stokes-based regularization: An in silico, in vitro and in vivo study. Ultrasound in medicine & biology, 41(1):99–113, 2015. 

6.      Mathieu De Craene, Stephanie Marchesseau, Brecht Heyde, Hang Gao, Martino Alessandrini, Olivier Bernard, Gemma Piella, AR Porras, Lennart Tautz, Anja Hennemuth, et al. 3D strain assessment in ultrasound (straus): A synthetic comparison of five tracking methodologies. IEEE Transactions on Medical Imaging (TMI), 32(9):1632–1646, 2013.  

7.      Hang Gao, Torbjorn Hergum, Hans Torp, and Jan D’hooge. Comparison of the performance of different tools for fast simulation of ultrasound data. Ultrasonics, 52(5):573–577, 2012. 

8.      Hang Gao, Piet Claus, Mihaela-Silvia Amzulescu, Ivan Stankovic, Jan D’hooge, and Jens-Uwe Voigt. How to optimize intracardiac blood flow tracking by echocardiographic particle image velocimetry? exploring the influence of data acquisition using computer-generated data sets. European Heart Journal–Cardiovascular Imaging, 13(6):490–499, 2012. 

9.      Hang Gao, Hon Fai Choi, Piet Claus, Steven Boonen, Siegfried Jaecques, G Harry van Lenthe, Georges Van Der Perre, Walter Lauriks, and Jan D’hooge. A fast convolution-based methodology to simulate 2D/3D cardiac ultrasound images. Ultrasonics, Ferroelectrics and Frequency Control, IEEE Transactions on, 56(2):404–409, 2009. 

10.    An Elen, Hon Fai Choi, Dirk Loeckx, Hang Gao, Piet Claus, Paul Suetens, Frederik Maes, and Jan D’hooge. Three-dimensional cardiac strain estimation using spatio–temporal elastic registration of ultrasound images: A feasibility study. IEEE Transactions on Medical Imaging (TMI), 27(11):1580–1591, 2008.