Thomas Li
Impact in
-
- Advanced Neural Network Applications
- Image Enhancement Techniques
- Advanced Vision and Imaging
Papers in
-
- Human Pose and Action Recognition 6
- Multimodal Machine Learning Applications 2
-
- Anomaly Detection Techniques and Applications 5
- Co-authors
- Ge Li (10 shared papers)Shan Liu (7 shared papers)Jia-Xing Zhong (2 shared papers)Weihong Lin (1 shared paper)Wei Gao (2 shared papers)Stephen Neuendorffer (1 shared paper)Fei Song (1 shared paper)Yiting Shao (1 shared paper)
- Journals
- IEEE Transactions on Circuits and Systems for Video Technology (2 papers)Radiology Artificial Intelligence (1 paper)Cancer Biomarkers (1 paper)IEEE Access (1 paper)Nanotechnology (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Thomas Li
23 papers receiving 362 citations
Peers
Comparison fields: 5 of 83
- Computer Vision and Pattern Recognition 197
- Computer Graphics and Computer-Aided Design 22
- Media Technology 27
- Ocean Engineering 41
- Oceanography 31
Countries citing papers authored by Thomas Li
This map shows the geographic impact of Thomas Li'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 Thomas Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Li more than expected).
Fields of papers citing papers by Thomas Li
This network shows the impact of papers produced by Thomas Li. 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 Thomas Li. The network helps show where Thomas Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 109 | |
| 2 | 2017 | 41 | |
| 3 | 2021 | 36 | |
| 4 | 2023 | 33 | |
| 5 | 2021 | 27 | |
| 6 | Accelerating OpenCV Applications with Zynq-7000 All Programmable SoC using Vivado HLS Video Libraries | 2013 | 26 |
| 7 | 2019 | 20 | |
| 8 | 2021 | 15 | |
| 9 | 2022 | 12 | |
| 10 | 2005 | 10 | |
| 11 | 2018 | 7 | |
| 12 | 2019 | 6 | |
| 13 | 2017 | 5 | |
| 14 | 2020 | 4 | |
| 15 | 2017 | 3 | |
| 16 | Predicting Neonatal Encephalopathy From Maternal Data in Electronic Medical Records. | 2018 | 3 |
| 17 | 2018 | 3 | |
| 18 | 2021 | 2 | |
| 19 | 2019 | 2 | |
| 20 | 2023 | 1 |
About Thomas Li
Thomas Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering, having authored 24 papers that have together received 368 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (6 papers), Lung Cancer Diagnosis and Treatment (5 papers), Anomaly Detection Techniques and Applications (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Image Processing Techniques and Applications (2 papers), Multimodal Machine Learning Applications (2 papers), Gait Recognition and Analysis (2 papers) and Ultrasound and Cavitation Phenomena (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (197 citations), Computer Graphics and Computer-Aided Design (22 citations), Media Technology (27 citations), Ocean Engineering (41 citations) and Oceanography (31 citations). Thomas Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ge Li, Shan Liu, Jia-Xing Zhong, Weihong Lin, Wei Gao, Stephen Neuendorffer, Fei Song, Yiting Shao, Pei Zhong and Chen Yang. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, Radiology Artificial Intelligence, Cancer Biomarkers, IEEE Access and Nanotechnology.
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.