Ming-Jun Li

459 citations
13 papers · 345 · h-index 8

Impact in

Papers in

Ming-Jun Li

13 papers receiving 323 citations

Peers

Ming-Jun Li
Comparison fields: 5 of 57
  • Biophysics 155
  • Acoustics and Ultrasonics 7
  • Biomedical Engineering 198
  • Structural Biology 3
  • Radiology, Nuclear Medicine and Imaging 35
Replace Joey M. Jabbour with:
Joey M. Jabbour United States
Jeffrey Harmon Japan
Joshua A. Udovich United States
Gunnsteinn Hall United States
Timothy N. Ford United States
Juergen Helfmann Germany
Shen Tong China
Bertrand Viellerobe France
Jonathan A. Palero Netherlands
Jae Yon Won South Korea
Ming-Jun Li relative to Joey M. Jabbour United States Joey M. Jabbour's profile →
Citations per field
00.5×1.5×2.0×
Joey M. Jabbour · 1×
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

13 of 13 papers shown
#Work
1 2017108
2 201251
3 201150
4 200535
5 202131
6 202021
7 202219
8 202116
9 20247
10 20244
11 20241
12 20251
13 20161

About Ming-Jun Li

Ming-Jun Li is a scholar working on Biophysics, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Computer Vision and Pattern Recognition and Cellular and Molecular Neuroscience, having authored 13 papers that have together received 345 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), Photoreceptor and optogenetics research (2 papers), Video Surveillance and Tracking Methods (2 papers), Human Pose and Action Recognition (2 papers) and Advanced Fiber Optic Sensors (1 paper). The work is most often cited by research in Biophysics (155 citations), Acoustics and Ultrasonics (7 citations), Biomedical Engineering (198 citations), Structural Biology (3 citations) and Radiology, Nuclear Medicine and Imaging (35 citations). Ming-Jun Li has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Xingde Li, Wenxuan Liang, Gunnsteinn Hall, Bernhard Messerschmidt, Yuying Zhang, Kartikeya Murari, Yongping Chen, Shenping Li, Ang Li and Daniel A. Nolan. Their work appears in journals such as Optics Letters, Light Science & Applications, World Journal of Clinical Oncology, New Journal of Physics and Journal of Lightwave Technology.

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.

Explore authors with similar magnitude of impact