Pei-Kai Huang
- Infectious Diseases top 5%
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- COVID-19 diagnosis using AI 3
- Radiation Dose and Imaging 2
- Radiomics and Machine Learning in Medical Imaging 1
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- Biometric Identification and Security 6
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- Face recognition and analysis 5
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- Asthma and respiratory diseases 4
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- Reconstructive Facial Surgery Techniques 2
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- User Authentication and Security Systems 2
- Co-authors
- Lesheng HuangXiaolu HuMing LeiTianzhu LiuJun ChenHailong LiuBo LiuQingling Zhang
- Cited by
- Infectious DiseasesRadiology, Nuclear Medicine and ImagingCritical Care and Intensive Care Medicine
- Journals
- SHILAP Revista de lepidopterología (2 papers)Radiology (1 paper)European Respiratory Journal (1 paper)
In The Last Decade
Pei-Kai Huang
19 papers receiving 603 citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Infectious Diseases 255
- Radiology, Nuclear Medicine and Imaging 260
- Critical Care and Intensive Care Medicine 43
- Health Informatics 7
- Neurology 63
Countries citing papers authored by Pei-Kai Huang
This map shows the geographic impact of Pei-Kai Huang'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 Pei-Kai Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pei-Kai Huang more than expected).
Fields of papers citing papers by Pei-Kai Huang
This network shows the impact of papers produced by Pei-Kai Huang. 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 Pei-Kai Huang. The network helps show where Pei-Kai Huang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pei-Kai Huang, 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 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 34 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 6 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 4 | |
| 9 | 2022 | 1 | |
| 10 | 2022 | 0 | |
| 11 | 2022 | 0 | |
| 12 | 2022 | 5 | |
| 13 | 2021 | 32 | |
| 14 | 2020 | 26 | |
| 15 | Use of Chest CT in Combination with Negative RT-PCR Assay for the 2019 Novel Coronavirus but High Clinical Suspicionbreakdown → | 2020 | 370 |
| 16 | 2020 | 2 | |
| 17 | 2019 | 28 | |
| 18 | 2019 | 31 | |
| 19 | 2019 | 39 | |
| 20 | 2018 | 33 |
About Pei-Kai Huang
Pei-Kai Huang is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Nephrology, having authored 22 papers that have together received 623 indexed citations. Recurring topics across this work include Biometric Identification and Security (6 papers), Face recognition and analysis (5 papers), Asthma and respiratory diseases (4 papers), COVID-19 diagnosis using AI (3 papers), Radiation Dose and Imaging (2 papers), Reconstructive Facial Surgery Techniques (2 papers), User Authentication and Security Systems (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Infectious Diseases (255 citations), Radiology, Nuclear Medicine and Imaging (260 citations) and Critical Care and Intensive Care Medicine (43 citations). Pei-Kai Huang has collaborated with scholars based in China, Taiwan and Canada. Frequent co-authors include Lesheng Huang, Xiaolu Hu, Ming Lei, Tianzhu Liu, Jun Chen, Hailong Liu, Bo Liu, Qingling Zhang, Shuyu Chen and Rongchang Chen. Their work appears in journals such as SHILAP Revista de lepidopterología, Radiology and European Respiratory Journal.
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.