Ting Chen
Impact in
- Health Informatics top 2%
- Periodontics top 2%
Papers in
-
- Gut microbiota and health 33
- Gene expression and cancer classification 13
- Genomics and Phylogenetic Studies 12
- Co-authors
- Rui JiangJames Kai‐sing KungFengzhu SunMichael S. WatermanKui ZhangMinghua DengYang BaiXu Zhang
- Journals
- Bioinformatics (6 papers)Scientific Reports (6 papers)The Science of The Total Environment (3 papers)Briefings in Bioinformatics (3 papers)Medicine (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ting Chen
187 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 201
- Health Informatics 72
- Periodontics 155
- Renewable Energy, Sustainability and the Environment 508
- Molecular Biology 2.0k
- Artificial Intelligence 729
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 | 2025 | 0 | |
| 3 | 2025 | 7 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 12 | |
| 9 | 2024 | 24 | |
| 10 | 2024 | 2 | |
| 11 | 2024 | 3 | |
| 12 | 2024 | 0 | |
| 13 | 2024 | 9 | |
| 14 | 2023 | 80 | |
| 15 | 2021 | 2 | |
| 16 | 2020 | 137 | |
| 17 | 2019 | 13 | |
| 18 | 2018 | 1 | |
| 19 | mLDM: A New Hierarchical Bayesian Statistical Model for Sparse Microbial Association Discovery. | 2016 | 2 |
| 20 | 2015 | 12 |
About Ting Chen
Ting Chen is a scholar working on Health Informatics, Molecular Biology, Artificial Intelligence, Family Practice and Health Information Management, having authored 203 papers that have together received 5.3k indexed citations. Recurring topics across this work include Gut microbiota and health (33 papers), Gene expression and cancer classification (13 papers), Genomics and Phylogenetic Studies (12 papers), Machine Learning in Healthcare (11 papers), Microbial Community Ecology and Physiology (9 papers), Genetic Associations and Epidemiology (9 papers), Topic Modeling (8 papers) and Probiotics and Fermented Foods (8 papers). The work is most often cited by research in Health Informatics (72 citations), Periodontics (155 citations), Renewable Energy, Sustainability and the Environment (508 citations), Molecular Biology (2.0k citations) and Artificial Intelligence (729 citations). Ting Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Rui Jiang, James Kai‐sing Kung, Fengzhu Sun, Michael S. Waterman, Kui Zhang, Minghua Deng, Yang Bai, Xu Zhang, Ning Chen and Li Wang. Their work appears in journals such as Bioinformatics, Scientific Reports, The Science of The Total Environment, Briefings in Bioinformatics and Medicine.
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.