Fang Zhao

559 total citations
30 papers, 413 citations indexed

About

Fang Zhao is a scholar working on Atomic and Molecular Physics, and Optics, Biomedical Engineering and Biophysics. According to data from OpenAlex, Fang Zhao has authored 30 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Atomic and Molecular Physics, and Optics, 10 papers in Biomedical Engineering and 9 papers in Biophysics. Recurrent topics in Fang Zhao's work include Orbital Angular Momentum in Optics (10 papers), Advanced Fluorescence Microscopy Techniques (9 papers) and GaN-based semiconductor devices and materials (8 papers). Fang Zhao is often cited by papers focused on Orbital Angular Momentum in Optics (10 papers), Advanced Fluorescence Microscopy Techniques (9 papers) and GaN-based semiconductor devices and materials (8 papers). Fang Zhao collaborates with scholars based in China, United States and Canada. Fang Zhao's co-authors include Jingli Zhuang, Dongdong Li, Xi Peng, Xingyu Chen, Dongmei Deng, Xiangbo Yang, Hongzhan Liu, Guanghui Wang, Liping Zhang and Peng Fei and has published in prestigious journals such as Nature Communications, Journal of Applied Physics and Scientific Reports.

In The Last Decade

Fang Zhao

28 papers receiving 374 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fang Zhao China 11 278 163 102 82 49 30 413
Jesse Amato-Grill United States 8 408 1.5× 227 1.4× 32 0.3× 29 0.4× 54 1.1× 11 457
David B. Ruffner United States 10 378 1.4× 303 1.9× 30 0.3× 29 0.4× 22 0.4× 17 471
Mike Woerdemann Germany 14 704 2.5× 491 3.0× 53 0.5× 41 0.5× 58 1.2× 27 834
Maria Dienerowitz United Kingdom 9 543 2.0× 496 3.0× 31 0.3× 28 0.3× 26 0.5× 14 688
Yasuhiro Harada Japan 4 597 2.1× 497 3.0× 22 0.2× 52 0.6× 16 0.3× 10 692
Andrew C. Richardson Denmark 9 260 0.9× 205 1.3× 38 0.4× 14 0.2× 16 0.3× 14 392
László Oroszi Hungary 8 142 0.5× 151 0.9× 23 0.2× 15 0.2× 57 1.2× 11 303
Daniel Montiel United States 6 66 0.2× 157 1.0× 86 0.8× 44 0.5× 115 2.3× 8 320
D. J. Stevenson United Kingdom 8 258 0.9× 210 1.3× 63 0.6× 24 0.3× 4 0.1× 11 459
Amber M. Beckley United States 6 395 1.4× 254 1.6× 16 0.2× 27 0.3× 12 0.2× 12 447

Countries citing papers authored by Fang Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Fang Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Fang Zhao. A scholar is included among the top collaborators of Fang Zhao 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 Fang Zhao. Fang Zhao 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
2.
He, Yingji, et al.. (2025). (3+1)-dimensional Airyprime-Laguerre-Gaussian wave packets in strongly nonlocal nonlinear media. Optics Express. 33(3). 5746–5746. 2 indexed citations
3.
Liu, Jiaxuan, et al.. (2025). NeRF dynamic scene reconstruction based on motion, semantic information and inpainting. Neurocomputing. 630. 129653–129653.
4.
Chen, Liting, Meng Jiao, Fang Zhao, et al.. (2023). Efficient 3D imaging and pathological analysis of the human lymphoma tumor microenvironment using light-sheet immunofluorescence microscopy. Theranostics. 14(1). 406–419. 2 indexed citations
5.
Li, Dongyang, Qingbo Xu, Fang Zhao, et al.. (2023). Highly sensitive and selective detection of nitrite using a fiber optofluidic laser. Optics Express. 31(20). 31982–31982. 2 indexed citations
6.
Yu, Yuxin, Yinhui Xu, Fang Zhao, et al.. (2023). TSA-PACT: a method for tissue clearing and immunofluorescence staining on zebrafish brain with improved sensitivity, specificity and stability. Cell & Bioscience. 13(1). 97–97. 3 indexed citations
7.
Guo, Xinyi, et al.. (2023). Rapid 3D isotropic imaging of whole organ with double-ring light-sheet microscopy and self-learning side-lobe elimination. Biomedical Optics Express. 14(12). 6206–6206. 4 indexed citations
8.
Yu, Tingting, Tingting Chu, Fang Zhao, et al.. (2021). Minutes-timescale 3D isotropic imaging of entire organs at subcellular resolution by content-aware compressed-sensing light-sheet microscopy. Nature Communications. 12(1). 107–107. 37 indexed citations
9.
Zhao, Fang, Yicong Yang, Yi Li, et al.. (2020). Efficient and cost‐effective 3D cellular imaging by sub‐voxel‐resolving light‐sheet add‐on microscopy. Journal of Biophotonics. 13(6). e201960243–e201960243. 12 indexed citations
10.
Zhao, Fang, et al.. (2020). Deep-learning super-resolution light-sheet add-on microscopy (Deep-SLAM) for easy isotropic volumetric imaging of large biological specimens. Biomedical Optics Express. 11(12). 7273–7273. 27 indexed citations
11.
Nie, Jun, Sa Liu, Tingting Yu, et al.. (2019). Fast, 3D Isotropic Imaging of Whole Mouse Brain Using Multiangle‐Resolved Subvoxel SPIM. Advanced Science. 7(3). 1901891–1901891. 22 indexed citations
12.
Chen, Xingyu, Dongmei Deng, Jingli Zhuang, et al.. (2018). Focusing properties of circle Pearcey beams. Optics Letters. 43(15). 3626–3626. 140 indexed citations
13.
Zhuang, Jingli, Dongmei Deng, Xingyu Chen, et al.. (2018). Spatiotemporal sharply autofocused dual-Airy-ring Airy Gaussian vortex wave packets. Optics Letters. 43(2). 222–222. 25 indexed citations
14.
Peng, Xi, Jingli Zhuang, Yulian Peng, et al.. (2018). Spatiotemporal Airy Ince–Gaussian wave packets in strongly nonlocal nonlinear media. Scientific Reports. 8(1). 4174–4174. 10 indexed citations
15.
Chen, Xingyu, Jingli Zhuang, Dongdong Li, et al.. (2018). Spatiotemporal rapidly autofocused ring Pearcey Gaussian vortex wavepackets. Journal of Optics. 20(7). 75607–75607. 14 indexed citations
16.
Peng, Xi, Yulian Peng, Dongdong Li, et al.. (2017). Propagation properties of spatiotemporal chirped Airy Gaussian vortex wave packets in a quadratic index medium. Optics Express. 25(12). 13527–13527. 22 indexed citations
17.
Zhao, Fang, et al.. (2013). Performance enhancement of an InGaN light-emitting diode with an AlGaN/InGaN superlattice electron-blocking layer. Chinese Physics B. 22(10). 108505–108505. 3 indexed citations
18.
Zhao, Fang, Guanghan Fan, Xiaoping Liu, et al.. (2013). Efficiency enhancement of an InGaN light-emitting diode with a p-AlGaN/GaN superlattice last quantum barrier. Chinese Physics B. 22(11). 118504–118504. 9 indexed citations
19.
Zheng, Shuwen, Fang Zhao, Binbin Ding, et al.. (2013). Advantages of GaN based light-emitting diodes with p-AlGaN/InGaN superlattice last quantum barrier. Optics Communications. 312. 85–88. 14 indexed citations
20.
Fan, Guanghan, Xin Li, Taiping Lü, et al.. (2012). Advantage of dual wavelength light-emitting diodes with dip-shaped quantum wells. Chinese Science Bulletin. 57(20). 2562–2566. 2 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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