Runlong Wu

2.8k citations
29 papers · 1.3k indexed · 2 hit papers · h-index 13

Runlong Wu

26 papers receiving 1.2k citations

Hit Papers

Fast, long-term, super-resolution imaging with Hessian st...4302017202620202023100200300400

Peers

Runlong Wu
Comparison fields: 5 of 112
  • Biophysics 562
  • Structural Biology 71
  • Acoustics and Ultrasonics 21
  • Cellular and Molecular Neuroscience 255
  • Biomedical Engineering 403
Replace Xiaohua Lv with:
Xiaohua Lv China
Weijian Zong China
Sean Quirin United States
Sandhiya Kalyanasundaram Switzerland
Jianyong Tang United States
Vincent de Sars France
Leonardo Sacconi Italy
Tao Jiang China
Fabian F. Voigt Switzerland
Karsten Bahlmann Germany
Runlong Wu relative to Xiaohua Lv China Xiaohua Lv's profile →
Citations per field
00.5×
Xiaohua Lv · 1×
Citations per year

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

The 25 scholars most cited alongside Runlong Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Runlong Wu Line = papers co-authored together Runlong Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 20232
4 20231
5 202339
6 20227
7 202218
8 20223
9 202110
10 2021127
11 202171
12 202112
13 20215
14 202029
15 202018
16 202039
17 201911
18
Fast, long-term, super-resolution imaging with Hessian structured illumination microscopybreakdown →
2018430
19
Fast high-resolution miniature two-photon microscopy for brain imaging in freely behaving micebreakdown →
2017349
20 201721

About Runlong Wu

Runlong Wu is a scholar working on Biophysics, Neurology and Biomedical Engineering, having authored 29 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Fluorescence Microscopy Techniques (16 papers), Optical Coherence Tomography Applications (7 papers), Photoacoustic and Ultrasonic Imaging (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Cell Image Analysis Techniques (4 papers), Photoreceptor and optogenetics research (3 papers), Retinal Development and Disorders (3 papers) and Neural dynamics and brain function (2 papers). The work is most often cited by research in Biophysics (562 citations), Structural Biology (71 citations) and Acoustics and Ultrasonics (21 citations). Runlong Wu has collaborated with scholars based in China, United States and Norway. Frequent co-authors include Liangyi Chen, Aimin Wang, Heping Cheng, Yunfeng Zhang, Yanhui Hu, Weijian Zong, Xiaoshuai Huang, Haosen Liu, Lisi Wei and Shan Tan. Their work appears in journals such as Nature Methods, Optics Express, Neuroscience Bulletin, Chinese Science Bulletin (Chinese Version) and Neurophotonics.

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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