Wai Yee Chan
- Radiology, Nuclear Medicine and Imaging top 5%
- Pulmonary and Respiratory Medicine top 5%
- Artificial Intelligence top 5%
- Molecular Biology
- Oncology
- Co-authors
- U. Rajendra AcharyaAnjan GudigarU. RaghavendraChui Ping OoiPaweł PławiakK. SwarajaK. MeenakshiOliver Faust
- Topics
- AI in cancer detection (14 papers)Radiomics and Machine Learning in Medical Imaging (11 papers)Medical Imaging Techniques and Applications (5 papers)
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingPulmonary and Respiratory Medicine
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaBlood
- Partner nations
- MalaysiaUnited StatesSingapore
In The Last Decade
Wai Yee Chan
37 papers receiving 999 citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Radiology, Nuclear Medicine and Imaging 416
- Pulmonary and Respiratory Medicine 392
- Artificial Intelligence 216
- Molecular Biology 201
- Oncology 147
Countries citing papers authored by Wai Yee Chan
This map shows the geographic impact of Wai Yee Chan'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 Wai Yee Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wai Yee Chan more than expected).
Fields of papers citing papers by Wai Yee Chan
This network shows the impact of papers produced by Wai Yee Chan. 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 Wai Yee Chan. The network helps show where Wai Yee Chan may publish in the future.
Co-authorship network of co-authors of Wai Yee Chan
This figure shows the co-authorship network connecting the top 25 collaborators of Wai Yee Chan. A scholar is included among the top collaborators of Wai Yee Chan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wai Yee Chan. Wai Yee Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | 62 | |
| 4 | 4 | |
| 5 | 7 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | 2 | |
| 9 | 15 | |
| 10 | 34 | |
| 11 | 28 | |
| 12 | 3 | |
| 13 | 37 | |
| 14 | 18 | |
| 15 | 10 | |
| 16 | 1 | |
| 17 | 62 | |
| 18 | 9 | |
| 19 | 227 | |
| 20 | 54 |
About Wai Yee Chan
Wai Yee Chan is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics and Artificial Intelligence, having authored 40 papers that have together received 1.0k indexed citations. Recurring topics across this work include AI in cancer detection (14 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Medical Imaging Techniques and Applications (5 papers). The work is most often cited by research in Health Informatics (38 citations), Radiology, Nuclear Medicine and Imaging (416 citations) and Pulmonary and Respiratory Medicine (392 citations). Wai Yee Chan has collaborated with scholars based in Malaysia, United States and Singapore. Frequent co-authors include U. Rajendra Acharya, Anjan Gudigar, U. Raghavendra, Chui Ping Ooi, Paweł Pławiak, K. Swaraja, K. Meenakshi, Oliver Faust, Padmavathi Kora and Kwan Hoong Ng. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.
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.