Lisa Tang
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Artificial Intelligence top 10%
- Molecular Biology
- Neurology top 5%
- Co-authors
- Roger TamAnthony TraboulseeYoungjin YooDavid K.B. LiTom BroschGhassan HamarnehVictor A. TronPiers Blaikie
- Topics
- Medical Image Segmentation Techniques (11 papers)Medical Imaging Techniques and Applications (6 papers)Radiomics and Machine Learning in Medical Imaging (6 papers)
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
Lisa Tang
45 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Computer Vision and Pattern Recognition 262
- Radiology, Nuclear Medicine and Imaging 247
- Artificial Intelligence 168
- Molecular Biology 146
- Neurology 140
Countries citing papers authored by Lisa Tang
This map shows the geographic impact of Lisa Tang'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 Lisa Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisa Tang more than expected).
Fields of papers citing papers by Lisa Tang
This network shows the impact of papers produced by Lisa Tang. 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 Lisa Tang. The network helps show where Lisa Tang may publish in the future.
Co-authorship network of co-authors of Lisa Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Lisa Tang. A scholar is included among the top collaborators of Lisa Tang 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 Lisa Tang. Lisa Tang 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 | 29 | |
| 3 | 19 | |
| 4 | 62 | |
| 5 | 9 | |
| 6 | 37 | |
| 7 | 3 | |
| 8 | 62 | |
| 9 | 1 | |
| 10 | 9 | |
| 11 | 25 | |
| 12 | 30 | |
| 13 | 8 | |
| 14 | 70 | |
| 15 | 57 | |
| 16 | 1 | |
| 17 | 16 | |
| 18 | 17 | |
| 19 | 5 | |
| 20 | 28 |
About Lisa Tang
Lisa Tang is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Human Factors and Ergonomics, having authored 49 papers that have together received 1.2k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (11 papers), Medical Imaging Techniques and Applications (6 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). The work is most often cited by research in Neurology (140 citations), Dermatology (131 citations) and Computer Vision and Pattern Recognition (262 citations). Lisa Tang has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Roger Tam, Anthony Traboulsee, Youngjin Yoo, David K.B. Li, Tom Brosch, Ghassan Hamarneh, Victor A. Tron, Piers Blaikie, Michael Stocking and Peter Dixon. Their work appears in journals such as Journal of Biological Chemistry, Neurology and IEEE Transactions on Power Systems.
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.