Geng Ku

7.3k total citations · 2 hit papers
62 papers, 5.7k citations indexed

About

Geng Ku is a scholar working on Biomedical Engineering, Mechanics of Materials and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Geng Ku has authored 62 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Biomedical Engineering, 37 papers in Mechanics of Materials and 30 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Geng Ku's work include Photoacoustic and Ultrasonic Imaging (56 papers), Thermography and Photoacoustic Techniques (27 papers) and Optical Imaging and Spectroscopy Techniques (23 papers). Geng Ku is often cited by papers focused on Photoacoustic and Ultrasonic Imaging (56 papers), Thermography and Photoacoustic Techniques (27 papers) and Optical Imaging and Spectroscopy Techniques (23 papers). Geng Ku collaborates with scholars based in United States, China and Taiwan. Geng Ku's co-authors include Lihong V. Wang, George Stoica, Xueding Wang, Xueyi Xie, Chun Li, Min Zhou, Qian Huang, Shaoli Song, John D. Hazle and Manojit Pramanik and has published in prestigious journals such as Nano Letters, ACS Nano and Nature Biotechnology.

In The Last Decade

Geng Ku

58 papers receiving 5.5k citations

Hit Papers

Noninvasive laser-induced photoacoustic tomography for st... 2003 2026 2010 2018 2003 2012 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Geng Ku United States 31 5.2k 2.3k 2.1k 547 542 62 5.7k
Srirang Manohar Netherlands 35 3.2k 0.6× 1.8k 0.8× 1.1k 0.5× 314 0.6× 460 0.8× 158 4.0k
Manojit Pramanik Singapore 44 6.3k 1.2× 2.0k 0.9× 1.9k 0.9× 872 1.6× 1.4k 2.7× 185 7.1k
Liang Song China 39 3.2k 0.6× 912 0.4× 916 0.4× 574 1.0× 1000 1.8× 96 4.0k
Johanna Gellermann Germany 28 3.3k 0.6× 1.5k 0.6× 294 0.1× 455 0.8× 328 0.6× 61 4.2k
Christopher Favazza United States 23 2.1k 0.4× 836 0.4× 618 0.3× 230 0.4× 361 0.7× 86 2.8k
Lei Xi China 33 3.1k 0.6× 825 0.4× 806 0.4× 405 0.7× 1.0k 1.9× 138 3.6k
Paul Kumar Upputuri Singapore 27 3.1k 0.6× 543 0.2× 475 0.2× 657 1.2× 1.1k 2.1× 60 3.6k
Srivalleesha Mallidi United States 28 3.0k 0.6× 657 0.3× 473 0.2× 476 0.9× 636 1.2× 94 3.5k
Junhui Shi China 30 2.6k 0.5× 985 0.4× 1.1k 0.5× 253 0.5× 355 0.7× 118 3.5k
Rinat O. Esenaliev United States 33 2.7k 0.5× 1.7k 0.7× 639 0.3× 279 0.5× 404 0.7× 145 3.6k

Countries citing papers authored by Geng Ku

Since Specialization
Citations

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

Fields of papers citing papers by Geng Ku

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geng Ku

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

All Works

20 of 20 papers shown
1.
Cao, Qizhen, Wanqin Wang, Min Zhou, et al.. (2020). Induction of antitumor immunity in mice by the combination of nanoparticle-based photothermolysis and anti-PD-1 checkpoint inhibition. Nanomedicine Nanotechnology Biology and Medicine. 25. 102169–102169. 30 indexed citations
2.
Song, Shaoli, Min Zhou, Geng Ku, et al.. (2011). [64Cu]CuS nanoparticles as a dual PET/CT and photoacoustic imaging agent for sentinel lymph nodes mapping. 52. 1506–1506. 1 indexed citations
3.
Song, Shaoli, Chiyi Xiong, Min Zhou, et al.. (2011). Small-Animal PET of Tumor Damage Induced by Photothermal Ablation with 64Cu-Bis-DOTA-Hypericin. Journal of Nuclear Medicine. 52(5). 792–799. 45 indexed citations
4.
Li, Li, Konstantin Maslov, Geng Ku, & Lihong V. Wang. (2009). Three-dimensional combined photoacoustic and optical coherence microscopy for in vivo microcirculation studies. Optics Express. 17(19). 16450–16450. 83 indexed citations
5.
Lü, Wei, Qian Huang, Geng Ku, et al.. (2009). Photoacoustic imaging of living mouse brain vasculature using hollow gold nanospheres. Biomaterials. 31(9). 2617–2626. 242 indexed citations
6.
Pramanik, Manojit, Geng Ku, & Lihong V. Wang. (2009). Tangential resolution improvement in thermoacoustic and photoacoustic tomography using a negative acoustic lens. Journal of Biomedical Optics. 14(2). 24028–24028. 50 indexed citations
7.
Li, Changhui, Geng Ku, & Lihong V. Wang. (2008). Negative lens concept for photoacoustic tomography. Physical Review E. 78(2). 21901–21901. 39 indexed citations
8.
Xie, Yao, et al.. (2008). Adaptive and Robust Methods of Reconstruction (ARMOR) for Thermoacoustic Tomography. IEEE Transactions on Biomedical Engineering. 55(12). 2741–2752. 32 indexed citations
9.
Li, Changhui, Manojit Pramanik, Geng Ku, & Lihong V. Wang. (2008). Image distortion in thermoacoustic tomography caused by microwave diffraction. Physical Review E. 77(3). 31923–31923. 41 indexed citations
10.
Wang, Lihong V., Xueding Wang, Geng Ku, Xueyi Xie, & George Stoica. (2005). High-resolution ultrasound-aided biophotonic imaging. PubMed. 4. 5307–5310.
11.
Ku, Geng, Xueding Wang, Xueyi Xie, George Stoica, & Lihong V. Wang. (2005). Imaging of tumor angiogenesis in rat brains in vivo by photoacoustic tomography. Applied Optics. 44(5). 770–770. 168 indexed citations
12.
Anastasio, Mark A., Jin Zhang, Xiaochuan Pan, et al.. (2005). Half-time image reconstruction in thermoacoustic tomography. IEEE Transactions on Medical Imaging. 24(2). 199–210. 102 indexed citations
13.
Ku, Geng, Xueding Wang, George Stoica, & Lihong V. Wang. (2004). Multiple-bandwidth photoacoustic tomography. Physics in Medicine and Biology. 49(7). 1329–1338. 158 indexed citations
14.
Wang, Xueding, et al.. (2004). Noninvasive photoacoustic angiography of animal brains in vivo with near-infrared light and an optical contrast agent. Optics Letters. 29(7). 730–730. 194 indexed citations
15.
Wang, Xueding, et al.. (2003). Noninvasive laser-induced photoacoustic tomography for structural and functional in vivo imaging of the brain. Nature Biotechnology. 21(7). 803–806. 1283 indexed citations breakdown →
16.
Wang, Xueding, et al.. (2003). Three-dimensional laser-induced photoacoustic tomography of mouse brain with the skin and skull intact. Optics Letters. 28(19). 1739–1739. 157 indexed citations
17.
Li, Jun, Geng Ku, & Lihong V. Wang. (2002). Ultrasound-modulated optical tomography of biological tissue by use of contrast of laser speckles. Applied Optics. 41(28). 6030–6030. 77 indexed citations
18.
Ku, Geng & Lihong V. Wang. (2001). Scanning microwave-induced thermoacoustic tomography: Signal, resolution, and contrast. Medical Physics. 28(1). 4–10. 133 indexed citations
19.
Xu, Minghua, Geng Ku, & Lihong V. Wang. (2001). Microwave‐induced thermoacoustic tomography using multi‐sector scanning. Medical Physics. 28(9). 1958–1963. 49 indexed citations
20.
Ku, Geng & Lihong V. Wang. (2000). Scanning thermoacoustic tomography in biological tissue. Medical Physics. 27(5). 1195–1202. 122 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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