Ming Yang

2.7k citations
106 papers · 1.8k · 2 hit papers · h-index 21

Impact in

Papers in

Ming Yang

90 papers receiving 1.8k citations

Ming Yang's Hit Papers

Cardiotocography Data Analysis for Fetal Health Classification Using Machine Learning Models 2024 · 28 citations
280+4+9Years since publication50100150200250

Peers

Ming Yang
Comparison fields: 5 of 135
  • Radiation 634
  • Pulmonary and Respiratory Medicine 710
  • Radiology, Nuclear Medicine and Imaging 471
  • Immunology 252
  • Biomedical Engineering 521
Replace Francesco C. Stingo with:
Francesco C. Stingo United States
Hamid Abdollahi Iran
Xin Zhen China
Zhen Zhang China
Jinhua Huang China
Sen Bai China
William D. Wallace United States
Anthony D. Kang United States
Bo Zhou China
Congjun Wang China
Ming Yang relative to Francesco C. Stingo United States Francesco C. Stingo's profile →
Citations per field
00.5×1.5×
Francesco C. Stingo · 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 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018305
2
Comprehensive analysis of proton range uncertainties related to patient stopping-power-ratio estimation using the stoichiometric calibration
Hit paper breakdown →
2012287
3 2010205
4 200663
5 201760
6 202042
7 201740
8 201836
9 201132
10 201931
11 202330
12
Cardiotocography Data Analysis for Fetal Health Classification Using Machine Learning Models
Hit paper breakdown →
202428
13 202128
14 201526
15 201725
16 201625
17 201824
18 201324
19 201723
20 201622

About Ming Yang

Ming Yang is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Radiation, Biomedical Engineering and Molecular Biology, having authored 106 papers that have together received 1.8k indexed citations. Recurring topics across this work include Radiation Therapy and Dosimetry (26 papers), Advanced Radiotherapy Techniques (21 papers), Advanced X-ray and CT Imaging (18 papers), Medical Imaging Techniques and Applications (15 papers), Radiation Dose and Imaging (7 papers), Cancer Immunotherapy and Biomarkers (6 papers), Radiation Detection and Scintillator Technologies (5 papers) and Head and Neck Cancer Studies (4 papers). The work is most often cited by research in Radiation (634 citations), Pulmonary and Respiratory Medicine (710 citations), Radiology, Nuclear Medicine and Imaging (471 citations), Immunology (252 citations) and Biomedical Engineering (521 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, Daniel J. McKay, Claire E. Lewis, James E. Clayton, X Zhu, U Titt and Xiangrong Zhu. Their work appears in journals such as Physics in Medicine and Biology, Medical Physics, Frontiers in Immunology, IEEE Access and Food Control.

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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