Chi Wah Wong
- Radiology, Nuclear Medicine and Imaging top 10%
- Pulmonary and Respiratory Medicine
- Oncology
- Artificial Intelligence
- Molecular Biology
- Co-authors
- Ammar ChaudhryBihong T. ChenNingrong YeRavi SalgiaAndrei I. HolodnyRussell C. RockneIsa MambetsarievSagus Sampath
- Topics
- Radiomics and Machine Learning in Medical Imaging (10 papers)Lung Cancer Diagnosis and Treatment (5 papers)Lung Cancer Treatments and Mutations (4 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingHealth InformaticsPulmonary and Respiratory Medicine
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Chi Wah Wong
19 papers receiving 251 citations
Peers
Comparison fields: 5 of 60
- Radiology, Nuclear Medicine and Imaging 145
- Pulmonary and Respiratory Medicine 125
- Oncology 48
- Artificial Intelligence 37
- Molecular Biology 30
Countries citing papers authored by Chi Wah Wong
This map shows the geographic impact of Chi Wah Wong'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 Chi Wah Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chi Wah Wong more than expected).
Fields of papers citing papers by Chi Wah Wong
This network shows the impact of papers produced by Chi Wah Wong. 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 Chi Wah Wong. The network helps show where Chi Wah Wong may publish in the future.
Co-authorship network of co-authors of Chi Wah Wong
This figure shows the co-authorship network connecting the top 25 collaborators of Chi Wah Wong. A scholar is included among the top collaborators of Chi Wah Wong 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 Chi Wah Wong. Chi Wah Wong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 9 | |
| 3 | 0 | |
| 4 | 8 | |
| 5 | 38 | |
| 6 | 20 | |
| 7 | 1 | |
| 8 | 9 | |
| 9 | 10 | |
| 10 | 1 | |
| 11 | 8 | |
| 12 | 41 | |
| 13 | 28 | |
| 14 | 40 | |
| 15 | 1 | |
| 16 | Intrinsic brain activity changes associated with adjuvant chemotherapy in older women with breast cancer: a pilot longitudinal study | 1 |
| 17 | 12 | |
| 18 | 1 | |
| 19 | 2 | |
| 20 | Maximum Covariance Unfolding : Manifold Learning for Bimodal Data | 21 |
About Chi Wah Wong
Chi Wah Wong is a scholar working on Health Information Management, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 22 papers that have together received 255 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (10 papers), Lung Cancer Diagnosis and Treatment (5 papers) and Lung Cancer Treatments and Mutations (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (145 citations), Health Informatics (7 citations) and Pulmonary and Respiratory Medicine (125 citations). Chi Wah Wong has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Ammar Chaudhry, Bihong T. Chen, Ningrong Ye, Ravi Salgia, Andrei I. Holodny, Russell C. Rockne, Isa Mambetsariev, Sagus Sampath, Rivka R. Colen and Zikuan Chen. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research and The Oncologist.
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.