Ting Chen
- Molecular Biology top 2%
- Bioinformatics and Genomic Networks 14
- Genomics and Phylogenetic Studies 13
- Gene expression and cancer classification 13
- Biomedical Engineering top 2%
- Radiation top 2%
- Advanced Radiotherapy Techniques 23
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- Medical Image Segmentation Techniques 16
- Cancer Research top 5%
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- Medical Imaging Techniques and Applications 21
- Advanced MRI Techniques and Applications 13
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- Radiation Therapy and Dosimetry 13
- Journals
- Journal of Applied Clinical Medical Physics (8 papers)Bioinformatics (7 papers)Frontiers in Oncology (5 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Ting Chen
339 papers receiving 6.9k citations
Hit Papers
Peers
Comparison fields: 5 of 203
- Molecular Biology 3.0k
- Biomedical Engineering 1.3k
- Radiation 249
- Computer Vision and Pattern Recognition 569
- Cancer Research 423
Countries citing papers authored by Ting Chen
This map shows the geographic impact of Ting 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 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 Chen more than expected).
Fields of papers citing papers by Ting Chen
This network shows the impact of papers produced by Ting 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 Chen. The network helps show where Ting Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ting 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 22 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 15 | |
| 8 | 2023 | 14 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 7 | |
| 11 | 2023 | 12 | |
| 12 | 2022 | 2 | |
| 13 | 2022 | 28 | |
| 14 | The Origins and Prevalence of Texture Bias in Convolutional Neural Networks | 2020 | 7 |
| 15 | 2018 | 11 | |
| 16 | 2017 | 3 | |
| 17 | 2017 | 1 | |
| 18 | 2016 | 60 | |
| 19 | 2015 | 73 | |
| 20 | 2001 | 338 |
About Ting Chen
Ting Chen is a scholar working on Radiation, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 374 papers that have together received 7.1k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (23 papers), Medical Imaging Techniques and Applications (21 papers), Medical Image Segmentation Techniques (16 papers), Bioinformatics and Genomic Networks (14 papers), Genomics and Phylogenetic Studies (13 papers), Radiation Therapy and Dosimetry (13 papers), Advanced MRI Techniques and Applications (13 papers) and Gene expression and cancer classification (13 papers). The work is most often cited by research in Molecular Biology (3.0k citations), Biomedical Engineering (1.3k citations), Radiation (249 citations), Computer Vision and Pattern Recognition (569 citations) and Cancer Research (423 citations). Ting Chen has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Fengzhu Sun, Minghua Deng, Debojyoti Dutta, Bingwen Lu, Zhidong Tu, Shipra Mehta, Rui Jiang, Leon Axel, Kui Zhang and Ezra G. Jennings. Their work appears in journals such as Journal of Applied Clinical Medical Physics, Bioinformatics, Frontiers in Oncology, Medical Physics and Journal of Chemical Information and Modeling.
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.