Kai Yang

3.3k citations
142 papers · 2.7k · h-index 27

Impact in

    • Medical Imaging Techniques and Applications
    • Radiation Dose and Imaging
    • Radiomics and Machine Learning in Medical Imaging
  • Radiation top 1%
    • Advanced Radiotherapy Techniques
    • Advanced X-ray Imaging Techniques

Papers in

Kai Yang

136 papers receiving 2.6k citations

Peers

Kai Yang
Comparison fields: 5 of 118
  • Radiology, Nuclear Medicine and Imaging 1.5k
  • Radiation 439
  • Pulmonary and Respiratory Medicine 844
  • Biomedical Engineering 945
  • Artificial Intelligence 181
Replace Bob Liu with:
Bob Liu United States
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Sabee Molloi United States
Nicholas Marshall Belgium
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Gregory M. Sturgeon United States
George A. Sandison United States
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Kai Yang relative to Bob Liu United States Bob Liu's profile →
Citations per field
00.5×1.5×2.1×
Bob Liu · 1×
Citations per year

Countries citing papers authored by Kai Yang

Since Specialization
Citations

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

Fields of papers citing papers by Kai Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 142 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008294
2 2006186
3 2019133
4 2006129
5 2006113
6 2008105
7 200998
8 201195
9 201864
10 201759
11 201559
12 200855
13 200752
14 201650
15 201150
16 201547
17 201445
18 200945
19 201238
20 200736

About Kai Yang

Kai Yang is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Biomedical Engineering, Radiation and Artificial Intelligence, having authored 142 papers that have together received 2.7k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (54 papers), Digital Radiography and Breast Imaging (49 papers), Advanced X-ray and CT Imaging (47 papers), Radiation Dose and Imaging (44 papers), Advanced Radiotherapy Techniques (17 papers), Radiomics and Machine Learning in Medical Imaging (11 papers), MRI in cancer diagnosis (7 papers) and AI in cancer detection (7 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.5k citations), Radiation (439 citations), Pulmonary and Respiratory Medicine (844 citations), Biomedical Engineering (945 citations) and Artificial Intelligence (181 citations). Kai Yang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include John M. Boone, Alexander L. C. Kwan, Karen K. Lindfors, Bob Liu, Thomas R. Nelson, Nathan J. Packard, George W. Burkett, Madan M. Rehani, Xinhua Li and Simon Yiu. Their work appears in journals such as Medical Physics, Physics in Medicine and Biology, European Radiology, Journal of Applied Clinical Medical Physics and Physica Medica.

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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