A.K.-W. Wu
Impact in
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Antimicrobial Resistance in Staphylococcus
- Neurology top 10%
- Long-Term Effects of COVID-19
Papers in
- Co-authors
- Y.O.Y. Soo (1 shared paper)CM Yu (1 shared paper)Gabriel Wai‐Kwok Yip (1 shared paper)Nelson Lee (1 shared paper)Eugene B. Wu (1 shared paper)Janus Siu Him Wong (1 shared paper)David S.C. Hui (1 shared paper)Raymond Wong (1 shared paper)
- Journals
- Clinical Neurology and Neurosurgery (1 paper)IEEE Transactions on Aerospace and Electronic Systems (1 paper)Postgraduate Medical Journal (1 paper)International Journal of Clinical Pharmacology and Therapeutics (1 paper)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
A.K.-W. Wu
8 papers receiving 341 citations
Peers
Comparison fields: 5 of 72
- Infectious Diseases 208
- Neurology 125
- Microbiology 28
- Cardiology and Cardiovascular Medicine 62
- Computer Science Applications 12
Countries citing papers authored by A.K.-W. Wu
This map shows the geographic impact of A.K.-W. Wu'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 A.K.-W. Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A.K.-W. Wu more than expected).
Fields of papers citing papers by A.K.-W. Wu
This network shows the impact of papers produced by A.K.-W. Wu. 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 A.K.-W. Wu. The network helps show where A.K.-W. Wu may publish in the future.
Co-authors
The 17 scholars most cited alongside A.K.-W. Wu, 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 | 2006 | 250 | |
| 2 | 2004 | 72 | |
| 3 | 2003 | 16 | |
| 4 | 2012 | 8 | |
| 5 | 2004 | 7 | |
| 6 | 2003 | 3 | |
| 7 | 2003 | 1 | |
| 8 | 2002 | 1 | |
| 9 | 2025 | 0 |
About A.K.-W. Wu
A.K.-W. Wu is a scholar working on Information Systems, Cardiology and Cardiovascular Medicine, Sociology and Political Science, Ocean Engineering and Artificial Intelligence, having authored 9 papers that have together received 358 indexed citations. Recurring topics across this work include Online and Blended Learning (1 paper), Intelligent Tutoring Systems and Adaptive Learning (1 paper), Virtual Reality Applications and Impacts (1 paper), Bacterial Infections and Vaccines (1 paper), Advanced SAR Imaging Techniques (1 paper), Semantic Web and Ontologies (1 paper), Speech and dialogue systems (1 paper) and Multimedia Communication and Technology (1 paper). The work is most often cited by research in Infectious Diseases (208 citations), Neurology (125 citations), Microbiology (28 citations), Cardiology and Cardiovascular Medicine (62 citations) and Computer Science Applications (12 citations). A.K.-W. Wu has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Y.O.Y. Soo, CM Yu, Gabriel Wai‐Kwok Yip, Nelson Lee, Eugene B. Wu, Janus Siu Him Wong, David S.C. Hui, Raymond Wong, Joseph J.�Y. Sung and Ka Sing Wong. Their work appears in journals such as Clinical Neurology and Neurosurgery, IEEE Transactions on Aerospace and Electronic Systems, Postgraduate Medical Journal and International Journal of Clinical Pharmacology and Therapeutics.
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.