Kaiming Kuang
- Health Informatics top 5%
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- Radiomics and Machine Learning in Medical Imaging 7
- COVID-19 diagnosis using AI 3
- Medical Imaging Techniques and Applications 1
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- Lung Cancer Diagnosis and Treatment 8
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- Advanced X-ray and CT Imaging 2
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- Food Supply Chain Traceability 2
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- Time Series Analysis and Forecasting 2
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- Artificial Intelligence in Healthcare 1
Kaiming Kuang
12 papers receiving 213 citations
Peers
Comparison fields: 5 of 54
- Health Informatics 28
- Radiology, Nuclear Medicine and Imaging 126
- Pulmonary and Respiratory Medicine 68
- Oral Surgery 11
- Biomedical Engineering 65
Countries citing papers authored by Kaiming Kuang
This map shows the geographic impact of Kaiming Kuang'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 Kaiming Kuang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaiming Kuang more than expected).
Fields of papers citing papers by Kaiming Kuang
This network shows the impact of papers produced by Kaiming Kuang. 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 Kaiming Kuang. The network helps show where Kaiming Kuang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kaiming Kuang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 7 | |
| 4 | 2023 | 5 | |
| 5 | 2023 | 15 | |
| 6 | 2023 | 8 | |
| 7 | 2022 | 18 | |
| 8 | 2022 | 10 | |
| 9 | 2022 | 2 | |
| 10 | 2022 | 19 | |
| 11 | 2022 | 3 | |
| 12 | 2021 | 15 | |
| 13 | 2020 | 113 |
About Kaiming Kuang
Kaiming Kuang is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Health Information Management, having authored 13 papers that have together received 217 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), COVID-19 diagnosis using AI (3 papers), Food Supply Chain Traceability (2 papers), Time Series Analysis and Forecasting (2 papers), Advanced X-ray and CT Imaging (2 papers), Artificial Intelligence in Healthcare (1 paper) and Medical Imaging Techniques and Applications (1 paper). The work is most often cited by research in Health Informatics (28 citations), Radiology, Nuclear Medicine and Imaging (126 citations) and Pulmonary and Respiratory Medicine (68 citations). Kaiming Kuang has collaborated with scholars based in China, Switzerland and United States. Frequent co-authors include Jiancheng Yang, Ming Li, Yingli Sun, Liang Jin, Mingyu Tan, Weiling Ma, Pan Gao, Bingbing Ni, Jiajun Chen and Caicong Wu. Their work appears in journals such as IEEE Transactions on Medical Imaging, Neural Networks and Computers and Electronics in Agriculture.
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.