Ming Yang

2.9k citations
105 papers · 1.9k · 2 hit papers · h-index 22

Impact in

Papers in

Ming Yang

94 papers receiving 1.8k citations

Ming Yang's Hit Papers

Cardiotocography Data Analysis for Fetal Health Classification Using Machine Learning Models 2024 · 34 citations
340+4+9Years since publication50100150200250

Peers

Ming Yang
Comparison fields: 5 of 131
  • Radiation 434
  • Pulmonary and Respiratory Medicine 539
  • Radiology, Nuclear Medicine and Imaging 283
  • Immunology 241
  • Biomedical Engineering 431
Replace Hamid Abdollahi with:
Hamid Abdollahi Iran
Sen Bai China
Zhen Zhang China
Sung‐Young Shin South Korea
Bo Zhou China
Benoı̂t Malassagne France
Yaping Wu China
Xin Zhen China
Mohammad Esmaeil Akbari Iran
Congjun Wang China
Ming Yang relative to Hamid Abdollahi Iran Hamid Abdollahi's profile →
Citations per field
00.5×5.6×
Hamid Abdollahi · 1×
Citations per year

Countries citing papers authored by Ming Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ming Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018315
2
Comprehensive analysis of proton range uncertainties related to patient stopping-power-ratio estimation using the stoichiometric calibration
Hit paper breakdown →
2012291
3 2010206
4 201763
5 200663
6 202043
7 201740
8 201836
9
Cardiotocography Data Analysis for Fetal Health Classification Using Machine Learning Models
Hit paper breakdown →
202434
10 201133
11 201932
12 202332
13 202130
14 201526
15 201626
16 201726
17 201825
18 201324
19 201723
20 202222

About Ming Yang

Ming Yang is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Radiation and Molecular Biology, having authored 105 papers that have together received 1.9k indexed citations. Recurring topics across this work include Radiation Therapy and Dosimetry (21 papers), Advanced Radiotherapy Techniques (16 papers), Advanced X-ray and CT Imaging (15 papers), Medical Imaging Techniques and Applications (12 papers), Cancer Immunotherapy and Biomarkers (5 papers), Radiation Dose and Imaging (5 papers), Head and Neck Cancer Studies (4 papers) and Photoacoustic and Ultrasonic Imaging (4 papers). The work is most often cited by research in Radiation (434 citations), Pulmonary and Respiratory Medicine (539 citations), Radiology, Nuclear Medicine and Imaging (283 citations), Immunology (241 citations) and Biomedical Engineering (431 citations). Ming Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Radhe Mohan, G. F. Virshup, Lei Dong, Jeffrey W. Pollard, Claire E. Lewis, Daniel J. McKay, James E. Clayton, X Zhu, U Titt and Xiangrong Zhu. Their work appears in journals such as Physics in Medicine and Biology, Medical Physics, Brachytherapy, Frontiers in Immunology and IEEE Access.

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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