Songde Liu

466 total citations
15 papers, 316 citations indexed

About

Songde Liu is a scholar working on Biomedical Engineering, Mechanics of Materials and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Songde Liu has authored 15 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Biomedical Engineering, 9 papers in Mechanics of Materials and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Songde Liu's work include Photoacoustic and Ultrasonic Imaging (11 papers), Thermography and Photoacoustic Techniques (8 papers) and Optical Imaging and Spectroscopy Techniques (7 papers). Songde Liu is often cited by papers focused on Photoacoustic and Ultrasonic Imaging (11 papers), Thermography and Photoacoustic Techniques (8 papers) and Optical Imaging and Spectroscopy Techniques (7 papers). Songde Liu collaborates with scholars based in China, United States and Poland. Songde Liu's co-authors include Chao Tian, Ting Feng, Kun Huang, Ziqin Li, Chao Tian, Dong Zhao, Kang Shen, Chenxi Zhang, Zhiming Hu and Hang Wang and has published in prestigious journals such as Advanced Functional Materials, Optics Letters and Optics Express.

In The Last Decade

Songde Liu

13 papers receiving 296 citations

Peers

Songde Liu
Tianrui Zhao United Kingdom
Hira Meidia Indonesia
Weiye Zhu China
Qian Luo China
Tianrui Zhao United Kingdom
Songde Liu
Citations per year, relative to Songde Liu Songde Liu (= 1×) peers Tianrui Zhao

Countries citing papers authored by Songde Liu

Since Specialization
Citations

This map shows the geographic impact of Songde Liu'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 Songde Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Songde Liu more than expected).

Fields of papers citing papers by Songde Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Songde Liu. 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 Songde Liu. The network helps show where Songde Liu may publish in the future.

Co-authorship network of co-authors of Songde Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Songde Liu. A scholar is included among the top collaborators of Songde Liu 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 Songde Liu. Songde Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Liu, Songde, et al.. (2024). On the imaging depth limit of photoacoustic tomography in the visible and first near-infrared windows. Optics Express. 32(4). 5460–5460. 5 indexed citations
2.
Liu, Songde, et al.. (2024). Ultrafast filtered back-projection for photoacoustic computed tomography. Biomedical Optics Express. 16(2). 362–362.
3.
Shen, Kang, et al.. (2024). Physics-driven deep learning photoacoustic tomography. Fundamental Research. 5 indexed citations
4.
Liu, Songde, et al.. (2024). Sub-Nyquist sampling-based high-frequency photoacoustic computed tomography. Optics Letters. 49(7). 1648–1648.
5.
Tian, Chao, Kang Shen, Fei Gao, et al.. (2024). Image reconstruction from photoacoustic projections. 3(3). R06–R06. 12 indexed citations
6.
Zhang, Hao, et al.. (2023). Multibeam minimum variance beamforming for ring array ultrasound imaging. Physics in Medicine and Biology. 68(13). 135005–135005. 3 indexed citations
7.
Zhao, Yiwu, Chenxi Zhang, Songde Liu, & Chao Tian. (2022). Ultrasound-guided adaptive photoacoustic tomography. Optics Letters. 47(15). 3960–3960. 8 indexed citations
8.
Zhao, Dong, et al.. (2022). Ultracompact meta-imagers for arbitrary all-optical convolution. Light Science & Applications. 11(1). 62–62. 104 indexed citations
9.
Zhu, Qing, Wei Jiang, Ke Ye, et al.. (2021). Hydrogenated Oxide Material for Self‐Targeting and Automatic‐Degrading Photothermal Tumor Therapy in the NIR‐II Bio‐Window. Advanced Functional Materials. 32(14). 25 indexed citations
10.
Shen, Kang, Songde Liu, Ting Feng, et al.. (2020). Negativity artifacts in back-projection based photoacoustic tomography. Journal of Physics D Applied Physics. 54(7). 74001–74001. 28 indexed citations
11.
Tian, Chao, et al.. (2020). Impact of System Factors on the Performance of Photoacoustic Tomography Scanners. Physical Review Applied. 13(1). 57 indexed citations
12.
Wang, Hang, et al.. (2019). Three‐dimensional interventional photoacoustic imaging for biopsy needle guidance with a linear array transducer. Journal of Biophotonics. 12(12). 27 indexed citations
13.
Liu, Songde, Hang Wang, Chenxi Zhang, et al.. (2019). In Vivo Photoacoustic Sentinel Lymph Node Imaging Using Clinically-Approved Carbon Nanoparticles. IEEE Transactions on Biomedical Engineering. 67(7). 1–1. 26 indexed citations
14.
Liu, Guangli, Songde Liu, Shuwei Shen, et al.. (2018). Fabrication of a multilayer tissue-mimicking phantom with tunable optical properties to simulate vascular oxygenation and perfusion for optical imaging technology. Applied Optics. 57(23). 6772–6772. 15 indexed citations
15.
Liu, Songde, Peng Liu, Lan Xie, et al.. (2016). Polarized hyperspectral imaging system for in vivo detection of vulvar lichen sclerosis. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9715. 97150Q–97150Q. 1 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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