Ning Chen
Impact in
- Molecular Biology top 10%
- Gut microbiota and health
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- Air Quality and Health Impacts
- Climate Change and Health Impacts
Papers in
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- Domain Adaptation and Few-Shot Learning 5
- Adversarial Robustness in Machine Learning 5
- Bayesian Methods and Mixture Models 4
- Anomaly Detection Techniques and Applications 3
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- Face and Expression Recognition 3
- Co-authors
- Ting Chen (10 shared papers)Jun Zhu (7 shared papers)Eric P. Xing (4 shared papers)Xingxing Wei (2 shared papers)Siyuan Liang (1 shared paper)Xiaochun Cao (1 shared paper)Ying Shi (2 shared papers)Haibo Wang (2 shared papers)
- Journals
- The Science of The Total Environment (2 papers)Frontiers in Microbiology (2 papers)Genomics Proteomics & Bioinformatics (1 paper)Journal of genetics and genomics (1 paper)PLoS Medicine (1 paper)
- Partner nations
- ChinaUnited StatesDenmark
In The Last Decade
Ning Chen
38 papers receiving 2.1k citations
Ning Chen's Hit Papers
Peers
Comparison fields: 5 of 146
- Molecular Biology 1.1k
- Health, Toxicology and Mutagenesis 199
- Biological Psychiatry 32
- Oncology 276
- Gastroenterology 48
Countries citing papers authored by Ning Chen
This map shows the geographic impact of Ning 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 Ning Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ning Chen more than expected).
Fields of papers citing papers by Ning Chen
This network shows the impact of papers produced by Ning 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 Ning Chen. The network helps show where Ning Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Ning 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Metagenomic analysis of faecal microbiome as a tool towards targeted non-invasive biomarkers for colorectal cancer Hit paper breakdown → | 2015 | 927 |
| 2 | 2020 | 151 | |
| 3 | 2019 | 142 | |
| 4 | 2018 | 141 | |
| 5 | 2017 | 136 | |
| 6 | 2017 | 96 | |
| 7 | 2014 | 74 | |
| 8 | 2020 | 62 | |
| 9 | 2021 | 52 | |
| 10 | 2019 | 38 | |
| 11 | 2004 | 36 | |
| 12 | 2018 | 36 | |
| 13 | 2023 | 33 | |
| 14 | 2017 | 30 | |
| 15 | 2022 | 18 | |
| 16 | 2018 | 16 | |
| 17 | 2022 | 16 | |
| 18 | 2023 | 15 | |
| 19 | 2016 | 12 | |
| 20 | 2008 | 11 |
About Ning Chen
Ning Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Infectious Diseases and Signal Processing, having authored 39 papers that have together received 2.1k indexed citations. Recurring topics across this work include Gut microbiota and health (12 papers), Domain Adaptation and Few-Shot Learning (5 papers), Adversarial Robustness in Machine Learning (5 papers), Bayesian Methods and Mixture Models (4 papers), Clostridium difficile and Clostridium perfringens research (4 papers), Face and Expression Recognition (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Microbial Community Ecology and Physiology (3 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Health, Toxicology and Mutagenesis (199 citations), Biological Psychiatry (32 citations), Oncology (276 citations) and Gastroenterology (48 citations). Ning Chen has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Ting Chen, Jun Zhu, Eric P. Xing, Xingxing Wei, Siyuan Liang, Xiaochun Cao, Ying Shi, Haibo Wang, Yifang Zhu and Zongjiu Zhang. Their work appears in journals such as The Science of The Total Environment, Frontiers in Microbiology, Genomics Proteomics & Bioinformatics, Journal of genetics and genomics and PLoS 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.