Shen Tong

413 total citations
29 papers, 300 citations indexed

About

Shen Tong is a scholar working on Biophysics, Biomedical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Shen Tong has authored 29 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Biophysics, 15 papers in Biomedical Engineering and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Shen Tong's work include Advanced Fluorescence Microscopy Techniques (18 papers), Optical Coherence Tomography Applications (9 papers) and Photoacoustic and Ultrasonic Imaging (8 papers). Shen Tong is often cited by papers focused on Advanced Fluorescence Microscopy Techniques (18 papers), Optical Coherence Tomography Applications (9 papers) and Photoacoustic and Ultrasonic Imaging (8 papers). Shen Tong collaborates with scholars based in China, United States and Poland. Shen Tong's co-authors include Ping Qiu, Ke Wang, Xiangquan Deng, Chen He, Weixin Xie, Hui Cheng, Hongji Liu, Hui Cheng, Xinlin Chen and Hongji Liu and has published in prestigious journals such as Nano Letters, ACS Nano and Advanced Functional Materials.

In The Last Decade

Shen Tong

28 papers receiving 283 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shen Tong China	10	180	164	73	50	42	29	300
Tatyana Polyakova Czechia	12	152 0.8×	117 0.7×	30 0.4×	32 0.6×	37 0.9×	28	521
Bingying Chen China	12	154 0.9×	153 0.9×	46 0.6×	14 0.3×	104 2.5×	31	353
Chao J. Liu United States	11	129 0.7×	122 0.7×	49 0.7×	39 0.8×	32 0.8×	23	317
Maxwell Zimmerley United States	8	190 1.1×	251 1.5×	19 0.3×	25 0.5×	18 0.4×	9	418
Marco Bianco Italy	8	137 0.8×	38 0.2×	32 0.4×	23 0.5×	54 1.3×	21	309
Lina L. Streich Germany	4	221 1.2×	74 0.5×	175 2.4×	26 0.5×	35 0.8×	5	327
Iván Coto Hernández United States	12	137 0.8×	245 1.5×	23 0.3×	22 0.4×	51 1.2×	33	375
Li-Chung Cheng Taiwan	9	279 1.6×	253 1.5×	48 0.7×	12 0.2×	21 0.5×	11	368
Noémie Danné France	8	72 0.4×	24 0.1×	113 1.5×	15 0.3×	26 0.6×	8	262

Countries citing papers authored by Shen Tong

Since Specialization

Citations

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

Fields of papers citing papers by Shen Tong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shen Tong

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

All Works

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20 of 20 papers shown

Bai, Huanhuan, et al.. (2025). Overview of rough surface construction technology for cotton fabrics used in oil/water separation. RSC Sustainability. 3(2). 676–697. 3 indexed citations

Tong, Shen, Haowei Hu, Ran Zhang, et al.. (2025). A novel EEG artifact removal algorithm based on an advanced attention mechanism. Scientific Reports. 15(1). 19419–19419. 1 indexed citations

Tong, Shen, Hongji Liu, Jie Huang, et al.. (2024). In vivo three-photon fluorescence imaging of mouse brain vasculature labeled by Evans blue excited at the NIR-III window. Biomedical Optics Express. 16(1). 257–257. 1 indexed citations

Li, Ruiqian, et al.. (2024). Psychological empowerment and job burnout in Chinese kindergarten teachers: The mediating effect of occupational stress. Journal of Psychology in Africa. 34(4). 350–359. 2 indexed citations

Chen, Xinlin, Shen Tong, Xiangquan Deng, et al.. (2024). In vivo deep brain multiphoton fluorescence imaging emitting at NIR‐I and NIR‐II and excited at NIR‐IV. Journal of Biophotonics. 17(4). e202300422–e202300422. 3 indexed citations

Huang, Jie, et al.. (2024). In vivo 3-photon fluorescence microscopy of white matter in mouse brain excited at the 1700 nm window. Journal of Innovative Optical Health Sciences. 17(5).

Huang, Jie, Shen Tong, Hui Cheng, et al.. (2023). Resolving arteriolar wall structures in mouse brain in vivo with three‐photon microscopy. Journal of Biophotonics. 16(5). e202200365–e202200365. 1 indexed citations

Tong, Shen, Xinlin Chen, Xiangquan Deng, et al.. (2023). In Vivo Deep-Brain 3- and 4-Photon Fluorescence Imaging of Subcortical Structures Labeled by Quantum Dots Excited at the 2200 nm Window. ACS Nano. 17(4). 3686–3695. 23 indexed citations

Tong, Shen, György Lür, Xiangmin Xu, & Zhaoxia Yu. (2021). To deconvolve, or not to deconvolve: Inferences of neuronal activities using calcium imaging data. Journal of Neuroscience Methods. 366. 109431–109431. 2 indexed citations

10.

Wang, Ke, et al.. (2021). Deep-skin multiphoton microscopy of lymphatic vessels excited at the 1700-nm window in vivo. Biomedical Optics Express. 12(10). 6474–6474. 5 indexed citations

11.

Wang, Ke, Yi Pan, Xinlin Chen, et al.. (2021). 3-photon fluorescence and third-harmonic generation imaging of myelin sheaths in mouse digital skin in vivo: A comparative study. Journal of Innovative Optical Health Sciences. 15(1). 7 indexed citations

12.

Tong, Shen, et al.. (2021). Ridge‐penalized adaptive Mantel test and its application in imaging genetics. Statistics in Medicine. 40(24). 5313–5332. 2 indexed citations

13.

Liu, Hongji, Xinlin Chen, Xiangquan Deng, et al.. (2020). In vivo deep-brain blood flow speed measurement through third-harmonic generation imaging excited at the 1700-nm window. Biomedical Optics Express. 11(5). 2738–2738. 12 indexed citations

14.

Chen, Xinlin, Hui Cheng, Xiangquan Deng, et al.. (2020). Self‐phase‐modulated femtosecond laser source at 1603 nm and its application to deep‐brain 3‐photon microscopy in vivo. Journal of Biophotonics. 14(3). e202000349–e202000349. 1 indexed citations

15.

Tong, Shen, et al.. (2020). Manipulating Soliton Polarization in Soliton Self-Frequency Shift and Its Application to 3-Photon Microscopy in Vivo. Journal of Lightwave Technology. 38(8). 2450–2455. 12 indexed citations

16.

Deng, Xiangquan, et al.. (2020). 3‐photon microscopy of myelin in mouse digital skin excited at the 1700‐nm window. Journal of Biophotonics. 13(12). e202000321–e202000321. 4 indexed citations

17.

Tong, Shen, Hongji Liu, Hui Cheng, et al.. (2019). Deep‐brain three‐photon microscopy excited at 1600 nm with silicone oil immersion. Journal of Biophotonics. 12(6). e201800423–e201800423. 5 indexed citations

18.

Cheng, Hui, Shen Tong, Xiangquan Deng, et al.. (2019). Deep-brain 2-photon fluorescence microscopy in vivo excited at the 1700 nm window. Optics Letters. 44(17). 4432–4432. 35 indexed citations

19.

Chen, Yage, Shaojun Liu, Shen Tong, et al.. (2019). Coherent Raman Scattering Unravelling Mechanisms Underlying Skull Optical Clearing for Through-Skull Brain Imaging. Analytical Chemistry. 91(15). 9371–9375. 26 indexed citations

20.

Wu, S.K., et al.. (2007). Low-frequency damping properties of dual-phase Mg–xLi–0.5Zn alloys. Journal of Alloys and Compounds. 465(1-2). 210–215. 17 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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