Ke Si

1.8k total citations
69 papers, 1.3k citations indexed

About

Ke Si is a scholar working on Biomedical Engineering, Biophysics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Ke Si has authored 69 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Biomedical Engineering, 35 papers in Biophysics and 18 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Ke Si's work include Advanced Fluorescence Microscopy Techniques (35 papers), Optical Coherence Tomography Applications (27 papers) and Photoacoustic and Ultrasonic Imaging (19 papers). Ke Si is often cited by papers focused on Advanced Fluorescence Microscopy Techniques (35 papers), Optical Coherence Tomography Applications (27 papers) and Photoacoustic and Ultrasonic Imaging (19 papers). Ke Si collaborates with scholars based in China, Singapore and United States. Ke Si's co-authors include Wei Gong, Meng Cui, Reto Fiolka, Colin J. R. Sheppard, Lejia Hu, Shuwen Hu, Yao Zheng, Shumin Duan, Jiahao Wang and Ying Xue and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Applied Physics Letters and Nature Photonics.

In The Last Decade

Ke Si

64 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ke Si China 20 654 386 344 280 231 69 1.3k
Jonghee Yoon South Korea 24 913 1.4× 487 1.3× 918 2.7× 232 0.8× 213 0.9× 56 2.2k
Xiaodong Tao United States 21 512 0.8× 356 0.9× 270 0.8× 121 0.4× 304 1.3× 98 1.6k
Cheng Ma China 20 1.0k 1.5× 130 0.3× 340 1.0× 578 2.1× 327 1.4× 55 1.7k
Timothy R. Hillman Australia 17 718 1.1× 310 0.8× 695 2.0× 314 1.1× 183 0.8× 30 1.3k
Tae-Seok Yang South Korea 14 766 1.2× 205 0.5× 556 1.6× 732 2.6× 63 0.3× 35 1.4k
Moonseok Kim South Korea 16 674 1.0× 187 0.5× 544 1.6× 798 2.9× 93 0.4× 26 1.3k
Meng Cui United States 22 1.1k 1.6× 675 1.7× 677 2.0× 1.0k 3.7× 131 0.6× 67 2.1k
Jung‐Hoon Park South Korea 19 601 0.9× 241 0.6× 470 1.4× 615 2.2× 51 0.2× 69 1.3k
Giannis Zacharakis Greece 20 777 1.2× 226 0.6× 200 0.6× 237 0.8× 537 2.3× 104 1.4k

Countries citing papers authored by Ke Si

Since Specialization
Citations

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

Fields of papers citing papers by Ke Si

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ke Si

This figure shows the co-authorship network connecting the top 25 collaborators of Ke Si. A scholar is included among the top collaborators of Ke Si 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 Ke Si. Ke Si 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.
Si, Ke, Zhipeng Sun, Huaxin Song, Xiangfen Jiang, & Xuebin Wang. (2025). Machine learning-assisted design and prediction of materials for batteries based on alkali metals. Physical Chemistry Chemical Physics. 27(11). 5423–5442. 2 indexed citations
2.
Chen, Zequn, Yiheng Tang, Maoliang Wei, et al.. (2025). Development of yellow-light TiO2 integrated photonics. Optics Letters. 50(11). 3489–3489.
3.
Si, Ke, et al.. (2024). Mechanistic insight into the synthesis and morphological evolution of yttrium oxide nanotubes. Ceramics International. 50(11). 20441–20446.
4.
Chen, Zequn, Maoliang Wei, Yang Weng, et al.. (2023). Flexible waveguide integrated thermo-optic switch based on TiO2 platform. Optics Letters. 48(12). 3239–3239. 3 indexed citations
5.
Shao, Ji, Kai Jin, Xiaojun Guan, et al.. (2023). End-to-End Deep-Learning-Based Diagnosis of Benign and Malignant Orbital Tumors on Computed Tomography Images. Journal of Personalized Medicine. 13(2). 204–204. 12 indexed citations
6.
Zhang, Chenshuang, Bin Yu, Fangrui Lin, et al.. (2023). Deep tissue super-resolution imaging with adaptive optical two-photon multifocal structured illumination microscopy. PhotoniX. 4(1). 24 indexed citations
7.
Chen, Zequn, Maoliang Wei, Ye Luo, et al.. (2022). Efficient and compact sol-gel TiO2 thermo-optic microring resonator modulator. Optical Materials Express. 12(10). 4061–4061. 7 indexed citations
8.
Liu, Xuanting, Yongxian Xu, Xiaojing Li, et al.. (2022). Long-term microglial phase-specific dynamics during single vessel occlusion and recanalization. Communications Biology. 5(1). 841–841. 2 indexed citations
9.
Sun, Nian X., Xiaobin Xu, Yongxian Xu, et al.. (2022). Contextual Fear Learning and Extinction in the Primary Visual Cortex of Mice. Neuroscience Bulletin. 39(1). 29–40. 2 indexed citations
10.
He, Zewei, Zeinab Abdelrahman, Ke Si, et al.. (2021). A biocompatible two-photon absorbing fluorescent mitochondrial probe for deepin vivobioimaging. Journal of Materials Chemistry B. 10(6). 887–898. 12 indexed citations
11.
Chen, Yiwen, Sen Jin, Li Lin, et al.. (2021). Organizational principles of amygdalar input-output neuronal circuits. Molecular Psychiatry. 26(12). 7118–7129. 31 indexed citations
12.
Hu, Shuwen, et al.. (2021). Deep learning based wavefront sensor for complex wavefront detection in adaptive optical microscopes. Frontiers of Information Technology & Electronic Engineering. 22(10). 1277–1288. 6 indexed citations
13.
Chen, Jiajia, et al.. (2020). Wavefront reconstruction based on deep transfer learning for microscopy. Optics Express. 28(14). 20738–20738. 12 indexed citations
14.
Lin, Li, et al.. (2020). Genetically encoded sensors enable micro- and nano-scopic decoding of transmission in healthy and diseased brains. Molecular Psychiatry. 26(2). 443–455. 11 indexed citations
15.
Zheng, Yao, et al.. (2019). Ultrafast optical clearing method for three-dimensional imaging with cellular resolution. Proceedings of the National Academy of Sciences. 116(23). 11480–11489. 78 indexed citations
16.
Li, Xiaotong, Kaiwei Wang, Ke Si, & Qing Yang. (2017). Light-based science and technologies and human civilization: an optical course for general education. 77–77. 1 indexed citations
17.
Si, Ke, Wei Gong, Nanguang Chen, & Colin J. R. Sheppard. (2010). Enhanced background rejection in thick tissue using focal modulation microscopy with quadrant apertures. Optics Communications. 284(5). 1475–1480. 8 indexed citations
18.
Sheppard, Colin J. R., Wei Gong, & Ke Si. (2010). Polarization effects in 4Pi microscopy. Micron. 42(4). 353–359. 8 indexed citations
19.
Gong, Wei, Ke Si, & Colin J. R. Sheppard. (2009). Optimization of axial resolution in a confocal microscope with D-shaped apertures. Applied Optics. 48(20). 3998–3998. 23 indexed citations
20.
Gong, Wei, Ke Si, Nanguang Chen, & Colin J. R. Sheppard. (2009). Improved spatial resolution in fluorescence focal modulation microscopy. Optics Letters. 34(22). 3508–3508. 26 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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