Hang Gao

1.8k total citations
46 papers, 754 citations indexed

About

Hang Gao is a scholar working on Computer Vision and Pattern Recognition, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Hang Gao has authored 46 papers receiving a total of 754 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 14 papers in Cardiology and Cardiovascular Medicine and 14 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Hang Gao's work include Cardiovascular Function and Risk Factors (11 papers), Advanced Steganography and Watermarking Techniques (10 papers) and Ultrasound Imaging and Elastography (9 papers). Hang Gao is often cited by papers focused on Cardiovascular Function and Risk Factors (11 papers), Advanced Steganography and Watermarking Techniques (10 papers) and Ultrasound Imaging and Elastography (9 papers). Hang Gao collaborates with scholars based in China, Belgium and United States. Hang Gao's co-authors include Jan D’hooge, Ling Tong, Hon Fai Choi, Tiegang Gao, Piet Claus, Frederik Maes, Paul Suetens, Dirk Loeckx, Xinming Wu and Guofeng Liu and has published in prestigious journals such as Geophysics, IEEE Transactions on Medical Imaging and Journal of the Franklin Institute.

In The Last Decade

Hang Gao

44 papers receiving 731 citations

Peers

Hang Gao

RNMI

CCM

CVPR

Yi Su Singapore

Vera Behar Bulgaria

Hanguang Xiao China

C.E. Hann New Zealand

Denis Friboulet France

Chien‐Cheng Chang Taiwan

Massoud Zolgharni United Kingdom

K Boone United Kingdom

Yu Ding China

Alfonso Rodríguez-Molares Norway

Yi Su Singapore

Hang Gao

113 ×0.3

RNMI

172 ×0.7

CCM

163 ×0.8

90 ×0.5

CVPR

74 ×0.5

Citations per year, relative to Hang Gao Hang Gao (= 1×) peers Yi Su

Countries citing papers authored by Hang Gao

Since Specialization

Citations

This map shows the geographic impact of Hang Gao's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hang Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hang Gao more than expected).

Fields of papers citing papers by Hang Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hang Gao. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hang Gao. The network helps show where Hang Gao may publish in the future.

Co-authorship network of co-authors of Hang Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Hang Gao. A scholar is included among the top collaborators of Hang Gao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hang Gao. Hang Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Gao, Hang, et al.. (2024). DPSG: Dynamic Propagation Social Graphs for multi-modal fake news detection. Information Fusion. 113. 102595–102595. 3 indexed citations

Gao, Hang, et al.. (2024). A secure image encryption-sharing based on different diffusion intensities by hyper-chaos according to image features. Signal Image and Video Processing. 18(11). 8119–8130. 1 indexed citations

Gao, Hang, Xinming Wu, & Guofeng Liu. (2021). ChannelSeg3D: Channel simulation and deep learning for channel interpretation in 3D seismic images. Geophysics. 86(4). IM73–IM83. 31 indexed citations

Gao, Hang, Xizhou Zhu, Stephen Lin, & Jifeng Dai. (2020). Deformable Kernels: Adapting Effective Receptive Fields for Object Deformation. arXiv (Cornell University). 8 indexed citations

Geng, Zhicheng, et al.. (2020). 3D relative geologic time estimation with deep learning. 1465–1470. 5 indexed citations

Gao, Hang & Tiegang Gao. (2020). Detection of median filtering based on ARMA model and pixel-pair histogram feature of difference image. Multimedia Tools and Applications. 79(17-18). 12551–12567. 7 indexed citations

Gao, Hang, Huazhe Xu, Qi-Zhi Cai, et al.. (2019). Disentangling Propagation and Generation for Video Prediction. 9005–9014. 55 indexed citations

Queirós, Sandro, Hang Gao, Gianluca De Santis, et al.. (2019). Three-dimensional color Doppler ultrasound simulation to mimic paravalvular regurgitation. Lirias (KU Leuven). 8. 32–32. 2 indexed citations

Gao, Hang, et al.. (2017). Double Verifiable Lossless Secret Sharing Based on Hyper-chaos Generated Random Grid.. Int. J. Netw. Secur.. 19. 1005–1015. 1 indexed citations

10.

D’hooge, Jan, Daniel Barbosa, Hang Gao, et al.. (2015). Two-dimensional speckle tracking echocardiography: standardization efforts based on synthetic ultrasound data. European Heart Journal - Cardiovascular Imaging. 17(6). 693–701. 64 indexed citations

11.

Gao, Hang, et al.. (2014). 2-D 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. 10 indexed citations

12.

Sui, Xiubao, Hang Gao, Yicheng Sun, Qian Chen, & Guohua Gu. (2013). Infrared super-resolution imaging method based on retina micro-motion. Infrared Physics & Technology. 60. 340–345. 14 indexed citations

13.

Gao, Hang, et al.. (2013). Anxiety disorders are associated with increased plasma adrenomedullin level and left ventricular hypertrophy in patients with hypertension. Clinical and Experimental Hypertension. 36(1). 27–31. 15 indexed citations

14.

Tong, Ling, Hang Gao, & Jan D’hooge. (2013). Multi-transmit beam forming for fast cardiac imaging-a simulation study. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 60(8). 1719–1731. 70 indexed citations

15.

Prinz, Christian, Réka Faludi, Andrew Walker, et al.. (2012). Can echocardiographic particle image velocimetry correctly detect motion patterns as they occur in blood inside heart chambers? A validation study using moving phantoms. Cardiovascular Ultrasound. 10(1). 24–24. 32 indexed citations

16.

Tong, Ling, Hang Gao, Hon Fai Choi, & Jan D’hooge. (2012). Comparison of conventional parallel beamforming with plane wave and diverging wave imaging for cardiac applications: a simulation study. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 59(8). 1654–1663. 65 indexed citations

17.

Gao, Hang, et al.. (2012). Comparison of the performance of different tools for fast simulation of ultrasound data. Ultrasonics. 52(5). 573–577. 13 indexed citations

18.

Craene, Mathieu De, Gemma Piella, Nicolás Duchateau, et al.. (2010). Temporal Diffeomorphic Free-Form Deformation for Strain Quantification in 3D-US Images. Lecture notes in computer science. 13(Pt 2). 1–8. 12 indexed citations

19.

Loeckx, Dirk, Hon Fai Choi, Hang Gao, et al.. (2008). Estimation of 3D cardiac deformation using spatio-temporal elastic registration of non-scanconverted ultrasound data. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6920. 69200R–69200R. 2 indexed citations

20.

Choi, Hon Fai, Dirk Loeckx, Hang Gao, et al.. (2008). Three-Dimensional Cardiac Strain Estimation Using Spatio–Temporal Elastic Registration of Ultrasound Images: A Feasibility Study. IEEE Transactions on Medical Imaging. 27(11). 1580–1591. 114 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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