Ming-Jun Li

438 citations
14 papers · 318 · h-index 8

Impact in

Papers in

    • Advanced Fluorescence Microscopy Techniques 7
    • Optical Coherence Tomography Applications 3
    • Photoacoustic and Ultrasonic Imaging 3

Ming-Jun Li

14 papers receiving 301 citations

Peers

Ming-Jun Li
Comparison fields: 5 of 56
  • Biophysics 150
  • Acoustics and Ultrasonics 7
  • Biomedical Engineering 188
  • Radiology, Nuclear Medicine and Imaging 33
  • Structural Biology 2
Replace Rajan Gurjar with:
Rajan Gurjar United States
Zachary A. Steelman United States
Timothy N. Ford United States
Joshua A. Udovich United States
Marco Andreana Austria
Rohit Gurjar India
Takahiro Nishimura Japan
Jeffrey Harmon Japan
Juergen Helfmann Germany
Dushan N. Wadduwage United States
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Citations per field
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Citations per year

Countries citing papers authored by Ming-Jun Li

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Jun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming-Jun Li. 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 Ming-Jun Li. The network helps show where Ming-Jun Li may publish in the future.

Co-authors

The 25 scholars most cited alongside Ming-Jun Li, 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 Ming-Jun Li Line = papers co-authored together Ming-Jun Li links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2017102
2 201148
3 201247
4 200534
5 202125
6 202017
7 202217
8 202116
9 20245
10 20243
11 20251
12 20241
13 20161
14 20251

About Ming-Jun Li

Ming-Jun Li is a scholar working on Biophysics, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Cellular and Molecular Neuroscience, having authored 14 papers that have together received 318 indexed citations. Recurring topics across this work include Advanced Fluorescence Microscopy Techniques (7 papers), Optical Imaging and Spectroscopy Techniques (5 papers), Optical Coherence Tomography Applications (3 papers), Photoacoustic and Ultrasonic Imaging (3 papers), Video Surveillance and Tracking Methods (2 papers), Human Pose and Action Recognition (2 papers), Photoreceptor and optogenetics research (2 papers) and Hand Gesture Recognition Systems (1 paper). The work is most often cited by research in Biophysics (150 citations), Acoustics and Ultrasonics (7 citations), Biomedical Engineering (188 citations), Radiology, Nuclear Medicine and Imaging (33 citations) and Structural Biology (2 citations). Ming-Jun Li has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Xingde Li, Wenxuan Liang, Bernhard Messerschmidt, Gunnsteinn Hall, Yongping Chen, Yuying Zhang, Kartikeya Murari, Shenping Li, Ang Li and Daniel A. Nolan. Their work appears in journals such as Optics Letters, Journal of Biomedical Optics, Data in Brief, Journal of Lightwave Technology and New Journal of Physics.

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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