Tak‐sum Wong
- Radiology, Nuclear Medicine and Imaging top 2%
- Physiology top 10%
- Psychiatry and Mental health top 5%
- Biomedical Engineering
- Atomic and Molecular Physics, and Optics top 10%
- Co-authors
- M.S. RoosMark S. RoosThomas F. BudingerWilliam J. JagustRobert V. MulkernFerenc A. JóleszBoris RubinskyCarl S. Winalski
- Topics
- Advanced MRI Techniques and Applications (13 papers)Natural Language Processing Techniques (8 papers)NMR spectroscopy and applications (8 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingPsychiatry and Mental healthNuclear and High Energy Physics
- Partner nations
- United StatesHong KongFrance
In The Last Decade
Tak‐sum Wong
44 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 135
- Radiology, Nuclear Medicine and Imaging 799
- Physiology 195
- Psychiatry and Mental health 194
- Biomedical Engineering 191
- Atomic and Molecular Physics, and Optics 167
Countries citing papers authored by Tak‐sum Wong
This map shows the geographic impact of Tak‐sum 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 Tak‐sum Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tak‐sum Wong more than expected).
Fields of papers citing papers by Tak‐sum Wong
This network shows the impact of papers produced by Tak‐sum 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 Tak‐sum Wong. The network helps show where Tak‐sum Wong may publish in the future.
Co-authorship network of co-authors of Tak‐sum Wong
This figure shows the co-authorship network connecting the top 25 collaborators of Tak‐sum Wong. A scholar is included among the top collaborators of Tak‐sum 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 Tak‐sum Wong. Tak‐sum 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 | 3 | |
| 2 | Register-sensitive Translation: A Case Study of Mandarin and Cantonese | 4 |
| 3 | Developing Universal Dependencies for Mandarin Chinese | 10 |
| 4 | A dependency treebank of the Chinese Buddhist canon | 2 |
| 5 | Hierarchy of Characters in the Chinese Buddhist Canon | 2 |
| 6 | Glimpses of Ancient China from Classical Chinese Poems | 10 |
| 7 | The beginning of merging of the tonal categories B2 and C1 in Hong Kong Cantonese | 2 |
| 8 | 43 | |
| 9 | 48 | |
| 10 | 11 | |
| 11 | 120 | |
| 12 | 71 | |
| 13 | 107 | |
| 14 | 30 | |
| 15 | 40 | |
| 16 | 2 | |
| 17 | 197 | |
| 18 | 4 | |
| 19 | 28 | |
| 20 | 25 |
About Tak‐sum Wong
Tak‐sum Wong is a scholar working on Computer Graphics and Computer-Aided Design, Language and Linguistics and Radiology, Nuclear Medicine and Imaging, having authored 47 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (13 papers), Natural Language Processing Techniques (8 papers) and NMR spectroscopy and applications (8 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (799 citations), Psychiatry and Mental health (194 citations) and Nuclear and High Energy Physics (157 citations). Tak‐sum Wong has collaborated with scholars based in United States, Hong Kong and France. Frequent co-authors include M.S. Roos, Mark S. Roos, Thomas F. Budinger, William J. Jagust, Robert V. Mulkern, Ferenc A. Jólesz, Boris Rubinsky, Carl S. Winalski, B. R. Reed and J.C. Gilbert. Their work appears in journals such as Magnetic Resonance in Medicine, Neurobiology of Aging and IEEE Signal Processing Magazine.
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.