Ting‐Li Chen
Impact in
- Statistics and Probability top 10%
- Markov Chains and Monte Carlo Methods
Papers in
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- Image and Signal Denoising Methods 6
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- Bayesian Methods and Mixture Models 4
- Co-authors
- Stuart Geman (3 shared papers)Asohan Amarasingham (1 shared paper)Matthew Tom Harrison (1 shared paper)David L. Sheinberg (1 shared paper)Chii-Ruey Hwang (3 shared papers)Bin Sheng (4 shared papers)Menghan Hu (1 shared paper)Fushing Hsieh (5 shared papers)
- Journals
- The Visual Computer (8 papers)Journal of Multivariate Analysis (2 papers)SIAM Journal on Control and Optimization (2 papers)Artificial Intelligence in Medicine (1 paper)International Journal of Surgery (1 paper)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Ting‐Li Chen
37 papers receiving 276 citations
Peers
Comparison fields: 5 of 93
- Health Informatics 7
- Statistics and Probability 36
- Computer Vision and Pattern Recognition 85
- Cognitive Neuroscience 61
- Media Technology 27
Countries citing papers authored by Ting‐Li Chen
This map shows the geographic impact of Ting‐Li Chen'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 Ting‐Li Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting‐Li Chen more than expected).
Fields of papers citing papers by Ting‐Li Chen
This network shows the impact of papers produced by Ting‐Li Chen. 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 Ting‐Li Chen. The network helps show where Ting‐Li Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Ting‐Li Chen, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 53 | |
| 2 | 2023 | 51 | |
| 3 | 2013 | 20 | |
| 4 | 2023 | 16 | |
| 5 | Gender-Specific Impact of Metabolic Obesity Phenotypes on the Risk of Hashimoto’s Thyroiditis: A Retrospective Data Analysis Using a Health Check-Up Database | 2022 | 11 |
| 6 | 2023 | 10 | |
| 7 | 2024 | 10 | |
| 8 | A New Clustering Algorithm Based on Self-Updating Process | 2007 | 10 |
| 9 | 2014 | 10 | |
| 10 | 2012 | 9 | |
| 11 | 2013 | 8 | |
| 12 | 2021 | 6 | |
| 13 | 2021 | 6 | |
| 14 | 2024 | 6 | |
| 15 | 2023 | 5 | |
| 16 | 2020 | 5 | |
| 17 | 2024 | 5 | |
| 18 | 2009 | 5 | |
| 19 | 2022 | 4 | |
| 20 | 2022 | 4 |
About Ting‐Li Chen
Ting‐Li Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Statistics and Probability, Radiology, Nuclear Medicine and Imaging and Ophthalmology, having authored 41 papers that have together received 286 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (7 papers), Image and Signal Denoising Methods (6 papers), Markov Chains and Monte Carlo Methods (5 papers), Glaucoma and retinal disorders (4 papers), Multidisciplinary Science and Engineering Research (4 papers), Bayesian Methods and Mixture Models (4 papers), Random Matrices and Applications (4 papers) and Retinal Diseases and Treatments (3 papers). The work is most often cited by research in Health Informatics (7 citations), Statistics and Probability (36 citations), Computer Vision and Pattern Recognition (85 citations), Cognitive Neuroscience (61 citations) and Media Technology (27 citations). Ting‐Li Chen has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Stuart Geman, Asohan Amarasingham, Matthew Tom Harrison, David L. Sheinberg, Chii-Ruey Hwang, Bin Sheng, Menghan Hu, Fushing Hsieh, Xiaoer Wei and Xiaohong Liu. Their work appears in journals such as The Visual Computer, Journal of Multivariate Analysis, SIAM Journal on Control and Optimization, Artificial Intelligence in Medicine and International Journal of Surgery.
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.