Zi Kang
Impact in
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- Influenza Virus Research Studies
- Respiratory viral infections research
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- interferon and immune responses
Papers in
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- Adversarial Robustness in Machine Learning 4
- Anomaly Detection Techniques and Applications 3
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- Immune Cell Function and Interaction 3
- T-cell and B-cell Immunology 3
- Co-authors
- Nicole C. Robb (1 shared paper)Amanda D. Stuart (1 shared paper)Helen Wise (1 shared paper)Julia R. Gog (1 shared paper)Andrew E. Firth (1 shared paper)Ervin Fodor (1 shared paper)Brett W. Jagger (1 shared paper)Edward Hutchinson (1 shared paper)
- Journals
- Journal of Virology (5 papers)Information Sciences (1 paper)PLoS Pathogens (1 paper)IEEE Internet of Things Journal (1 paper)IEEE Transactions on Consumer Electronics (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Zi Kang
10 papers receiving 299 citations
Peers
Comparison fields: 5 of 49
- Epidemiology 179
- Immunology 100
- Infectious Diseases 62
- Agronomy and Crop Science 25
- Cell Biology 40
Countries citing papers authored by Zi Kang
This map shows the geographic impact of Zi Kang'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 Zi Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zi Kang more than expected).
Fields of papers citing papers by Zi Kang
This network shows the impact of papers produced by Zi Kang. 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 Zi Kang. The network helps show where Zi Kang may publish in the future.
Co-authors
The 25 scholars most cited alongside Zi Kang, 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 | 2012 | 181 | |
| 2 | 2017 | 57 | |
| 3 | 2019 | 26 | |
| 4 | 2024 | 7 | |
| 5 | 2014 | 7 | |
| 6 | 2018 | 7 | |
| 7 | 2018 | 6 | |
| 8 | 2018 | 6 | |
| 9 | 2014 | 5 | |
| 10 | 2023 | 1 | |
| 11 | 2024 | 0 | |
| 12 | 2024 | 0 | |
| 13 | 2024 | 0 | |
| 14 | 2024 | 0 |
About Zi Kang
Zi Kang is a scholar working on Artificial Intelligence, Immunology, Computer Networks and Communications, Computer Vision and Pattern Recognition and Epidemiology, having authored 14 papers that have together received 303 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (4 papers), Immune Cell Function and Interaction (3 papers), T-cell and B-cell Immunology (3 papers), Anomaly Detection Techniques and Applications (3 papers), HIV Research and Treatment (2 papers), Advanced Malware Detection Techniques (2 papers), Virus-based gene therapy research (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Epidemiology (179 citations), Immunology (100 citations), Infectious Diseases (62 citations), Agronomy and Crop Science (25 citations) and Cell Biology (40 citations). Zi Kang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Nicole C. Robb, Amanda D. Stuart, Helen Wise, Julia R. Gog, Andrew E. Firth, Ervin Fodor, Brett W. Jagger, Edward Hutchinson, Paul Digard and John C. Kash. Their work appears in journals such as Journal of Virology, Information Sciences, PLoS Pathogens, IEEE Internet of Things Journal and IEEE Transactions on Consumer Electronics.
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.