Runlong Wu

2.8k total citations · 2 hit papers
29 papers, 1.3k citations indexed

About

Runlong Wu is a scholar working on Biophysics, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Runlong Wu has authored 29 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Biophysics, 12 papers in Biomedical Engineering and 7 papers in Molecular Biology. Recurrent topics in Runlong Wu's work include Advanced Fluorescence Microscopy Techniques (16 papers), Optical Coherence Tomography Applications (7 papers) and Photoacoustic and Ultrasonic Imaging (5 papers). Runlong Wu is often cited by papers focused on Advanced Fluorescence Microscopy Techniques (16 papers), Optical Coherence Tomography Applications (7 papers) and Photoacoustic and Ultrasonic Imaging (5 papers). Runlong Wu collaborates with scholars based in China, United States and Norway. Runlong Wu's co-authors include Liangyi Chen, Aimin Wang, Heping Cheng, Yunfeng Zhang, Yanhui Hu, Weijian Zong, Xiaoshuai Huang, Heng Mao, Junchao Fan and Tang Li-qiang and has published in prestigious journals such as Neuron, SHILAP Revista de lepidopterología and Nano Letters.

In The Last Decade

Runlong Wu

26 papers receiving 1.2k citations

Hit Papers

Fast, long-term, super-resolution imaging with Hessian st... 2017 2026 2020 2023 2018 2017 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Runlong Wu China 13 562 403 282 255 174 29 1.3k
Jianyong Tang United States 18 704 1.3× 462 1.1× 324 1.1× 216 0.8× 81 0.5× 29 1.3k
Xiaohua Lv China 22 631 1.1× 331 0.8× 263 0.9× 261 1.0× 155 0.9× 82 1.4k
Weijian Zong China 14 369 0.7× 263 0.7× 171 0.6× 285 1.1× 206 1.2× 22 1.0k
Vincent de Sars France 15 420 0.7× 289 0.7× 150 0.5× 678 2.7× 317 1.8× 20 1.2k
Sean Quirin United States 13 441 0.8× 296 0.7× 157 0.6× 477 1.9× 381 2.2× 21 1.1k
Fabian F. Voigt Switzerland 19 567 1.0× 390 1.0× 225 0.8× 368 1.4× 341 2.0× 33 1.4k
Karsten Bahlmann Germany 12 599 1.1× 307 0.8× 239 0.8× 141 0.6× 129 0.7× 17 914
Ryosuke Kawakami Japan 18 322 0.6× 271 0.7× 274 1.0× 283 1.1× 207 1.2× 40 1.1k
Leonardo Sacconi Italy 32 942 1.7× 758 1.9× 936 3.3× 780 3.1× 247 1.4× 124 3.1k
Emiliano Ronzitti France 16 276 0.5× 207 0.5× 127 0.5× 543 2.1× 302 1.7× 27 865

Countries citing papers authored by Runlong Wu

Since Specialization
Citations

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

Fields of papers citing papers by Runlong Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Runlong Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Runlong Wu. A scholar is included among the top collaborators of Runlong Wu 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 Runlong Wu. Runlong Wu 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.
Wu, Runlong, Yufei Zhu, Lifeng Zhang, et al.. (2025). A versatile miniature two-photon microscope enabling multicolor deep-brain imaging. Nature Methods. 22(9). 1935–1943. 2 indexed citations
2.
3.
Liu, Huilan, Yijun Li, Yuqian Gao, et al.. (2023). Lensed Fiber-Optic Two-Photon Endomicroscopy for Field-of-View Enhancement. Photonics. 10(3). 342–342. 2 indexed citations
5.
Chen, Shiyuan, Lifeng Zhang, Dong Zhang, et al.. (2023). Miniature three-photon microscopy maximized for scattered fluorescence collection. Nature Methods. 20(4). 617–622. 39 indexed citations
6.
Zhen, Zhen, Yanqing Wang, Runlong Wu, et al.. (2022). Non-Invasive Skin Imaging Assessment of Human Stress During Head-Down Bed Rest Using a Portable Handheld Two-Photon Microscope. Frontiers in Physiology. 13. 899830–899830. 3 indexed citations
7.
Zhao, Zhe, Runlong Wu, Liping Chen, et al.. (2022). Encoding of social novelty by sparse GABAergic neural ensembles in the prelimbic cortex. Science Advances. 8(35). eabo4884–eabo4884. 18 indexed citations
8.
Cui, Haodong, Yijun Li, Yuqian Gao, et al.. (2022). Two-photon endomicroscopy with microsphere-spliced double-cladding antiresonant fiber for resolution enhancement. Optics Express. 30(15). 26090–26090. 7 indexed citations
9.
Cui, Haodong, Yijun Li, Danlei Wu, et al.. (2021). Spiral scanning fiber-optic two-photon endomicroscopy with a double-cladding antiresonant fiber. Optics Express. 29(26). 43124–43124. 10 indexed citations
10.
Zong, Weijian, Runlong Wu, Shiyuan Chen, et al.. (2021). Miniature two-photon microscopy for enlarged field-of-view, multi-plane and long-term brain imaging. Nature Methods. 18(1). 46–49. 127 indexed citations
11.
Han, Yaning, Kang Huang, Ke Chen, et al.. (2021). MouseVenue3D: A Markerless Three-Dimension Behavioral Tracking System for Matching Two-Photon Brain Imaging in Free-Moving Mice. Neuroscience Bulletin. 38(3). 303–317. 12 indexed citations
12.
Zhu, Hong, Zheyi Ni, Tingting Zhou, et al.. (2021). Dynamics of a disinhibitory prefrontal microcircuit in controlling social competition. Neuron. 110(3). 516–531.e6. 71 indexed citations
13.
Zong, Weijian, Runlong Wu, Shiyuan Chen, et al.. (2021). Publisher Correction: Miniature two-photon microscopy for enlarged field-of-view, multi-plane and long-term brain imaging. Nature Methods. 18(2). 220–220. 5 indexed citations
14.
Kumar, Vineet, et al.. (2020). Room-temperature vulcanized silicone rubber/barium titanate–based high-performance nanocomposite for energy harvesting. Materials Today Chemistry. 16. 100232–100232. 29 indexed citations
15.
Zong, Weijian, Xin Li, Jinghang Li, et al.. (2020). Long-term, in toto live imaging of cardiomyocyte behaviour during mouse ventricle chamber formation at single-cell resolution. Nature Cell Biology. 22(3). 332–340. 39 indexed citations
16.
Chen, Shiyuan, Zichen Wang, Dong Zhang, et al.. (2020). Miniature Fluorescence Microscopy for Imaging Brain Activity in Freely-Behaving Animals. Neuroscience Bulletin. 36(10). 1182–1190. 18 indexed citations
17.
Wu, Danlei, et al.. (2019). Femtosecond fiber laser at 780 nm for two-photon autofluorescence imaging. Chinese Optics Letters. 17(7). 71405–71405. 11 indexed citations
18.
Huang, Xiaoshuai, Junchao Fan, Liuju Li, et al.. (2018). Fast, long-term, super-resolution imaging with Hessian structured illumination microscopy. Nature Biotechnology. 36(5). 451–459. 430 indexed citations breakdown →
19.
Chen, Bingying, Xiaoshuai Huang, Runlong Wu, et al.. (2017). Robust hollow-fiber-pigtailed 930 nm femtosecond Nd:fiber laser for volumetric two-photon imaging. Optics Express. 25(19). 22704–22704. 21 indexed citations
20.
Zong, Weijian, Runlong Wu, Mingli Li, et al.. (2017). Fast high-resolution miniature two-photon microscopy for brain imaging in freely behaving mice. Nature Methods. 14(7). 713–719. 349 indexed citations breakdown →

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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