Mingwu Jin

1.1k citations
70 papers · 800 · h-index 17

Impact in

Papers in

Mingwu Jin

64 papers receiving 787 citations

Peers

Mingwu Jin
Comparison fields: 5 of 96
  • Radiology, Nuclear Medicine and Imaging 401
  • Radiation 83
  • Cognitive Neuroscience 116
  • Astronomy and Astrophysics 91
  • Computer Vision and Pattern Recognition 112
Replace Sampsa Pursiainen with:
Sampsa Pursiainen Finland
M. Louis Lauzon Canada
Patrick McClure United States
Martin Štumpf Czechia
Ian C. Atkinson United States
Munendra Singh India
Pierre Grangeat France
Imants Svalbe Australia
Emmanuel Perrin France
Mingwu Jin relative to Sampsa Pursiainen Finland Sampsa Pursiainen's profile →
Citations per field
00.5×6.4×
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 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201978
2 202068
3 201167
4 200644
5 201832
6 202028
7 201327
8 202026
9 202124
10 202123
11 201121
12 200721
13 200921
14 201921
15 201220
16 202116
17 201616
18 202116
19 201214
20 201912

About Mingwu Jin

Mingwu Jin is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Radiation, Cognitive Neuroscience and Pulmonary and Respiratory Medicine, having authored 70 papers that have together received 800 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (38 papers), Advanced MRI Techniques and Applications (26 papers), Advanced X-ray and CT Imaging (24 papers), Functional Brain Connectivity Studies (8 papers), Advanced Radiotherapy Techniques (7 papers), Radiation Detection and Scintillator Technologies (6 papers), Radiation Dose and Imaging (4 papers) and Radiation Therapy and Dosimetry (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (401 citations), Radiation (83 citations), Cognitive Neuroscience (116 citations), Astronomy and Astrophysics (91 citations) and Computer Vision and Pattern Recognition (112 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 S. Pelak, Yue Deng, Miles N. Wernick, Lifeng Yu, Zeheng Li, Junzhou Huang and Tim Curran. Their work appears in journals such as Physics in Medicine and Biology, Medical Physics, Space Weather, Magnetic Resonance Imaging and Applied Optics.

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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