Mingwu Jin

1.2k citations
76 papers · 917 · h-index 17

Impact in

Papers in

Mingwu Jin

71 papers receiving 900 citations

Peers

Mingwu Jin
Comparison fields: 5 of 103
  • Radiology, Nuclear Medicine and Imaging 414
  • Radiation 82
  • Astronomy and Astrophysics 110
  • Geophysics 80
  • Cognitive Neuroscience 114
Replace Sampsa Pursiainen with:
Sampsa Pursiainen Finland
Nikolaos Uzunoglu Greece
Patrick McClure United States
Martin Štumpf Czechia
Ahmed E. Fakhry Egypt
Michel Louis Lauzon Canada
Zbisław Tabor Poland
Meng Cui United States
Zhiyi Zhou China
Mingwu Jin relative to Sampsa Pursiainen Finland Sampsa Pursiainen's profile →
Citations per field
00.5×2×4×6.3×
Sampsa Pursiainen · 1×
Citations per year

Countries citing papers authored by Mingwu Jin

Since Specialization
Citations

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

Fields of papers citing papers by Mingwu Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201990
2 202079
3 201172
4 200646
5 201837
6 202031
7 201330
8 202129
9 202028
10 202127
11 201925
12 200725
13 201124
14 201223
15 200922
16 202118
17 201917
18 201616
19 202115
20 201214

About Mingwu Jin

Mingwu Jin is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation, Biomedical Engineering, Cognitive Neuroscience and Computer Vision and Pattern Recognition, having authored 76 papers that have together received 917 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (39 papers), Advanced MRI Techniques and Applications (24 papers), Advanced X-ray and CT Imaging (23 papers), Advanced Radiotherapy Techniques (7 papers), Functional Brain Connectivity Studies (7 papers), Radiation Detection and Scintillator Technologies (6 papers), Optical Polarization and Ellipsometry (5 papers) and Radiation Therapy and Dosimetry (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (414 citations), Radiation (82 citations), Astronomy and Astrophysics (110 citations), Geophysics (80 citations) and Cognitive Neuroscience (114 citations). Mingwu Jin has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Yongyi Yang, Dietmar Cordes, Michael A. King, Victoria Susan Pelak, Yue Deng, Miles N. Wernick, Lifeng Yu, Junzhou Huang, Zeheng Li and Shun‐Rong Zhang. Their work appears in journals such as Physics in Medicine and Biology, Space Weather, Applied Optics, Medical Physics and Magnetic Resonance Imaging.

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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