Yu Chen
- Molecular Biology top 5%
- Biomedical Engineering top 5%
- Artificial Intelligence top 5%
- Biotechnology top 2%
- Food Science top 5%
- Co-authors
- Jens NielsenTom DiethePeter FlachFeiran LiKate CampbellYun ChenEduard J. KerkhovenLe Yuan
- Topics
- Microbial Metabolic Engineering and Bioproduction (37 papers)Biofuel production and bioconversion (16 papers)Bioinformatics and Genomic Networks (13 papers)
In The Last Decade
Yu Chen
137 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 190
- Molecular Biology 1.9k
- Biomedical Engineering 623
- Artificial Intelligence 373
- Biotechnology 221
- Food Science 190
Countries citing papers authored by Yu Chen
This map shows the geographic impact of Yu 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 Yu Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Chen more than expected).
Fields of papers citing papers by Yu Chen
This network shows the impact of papers produced by Yu 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 Yu Chen. The network helps show where Yu Chen may publish in the future.
Co-authorship network of co-authors of Yu Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Yu Chen. A scholar is included among the top collaborators of Yu Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yu Chen. Yu Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 45 | |
| 8 | 33 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | Deep learning-based kcat prediction enables improved enzyme-constrained model reconstructionbreakdown → | 235 |
| 12 | 27 | |
| 13 | 19 | |
| 14 | 33 | |
| 15 | Regulatory Effect of Anwulignan on the Immune Function Through Its Antioxidation and Anti-Apoptosis in D-Galactose-Induced Aging Mice | 1 |
| 16 | 207 | |
| 17 | 98 | |
| 18 | Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligencebreakdown → | 570 |
| 19 | Study on different extraction process of polysaccharides from chrysanthemum | 1 |
| 20 | Detection of texture properties of kiwi fruits by texture profile analysis and simulation of manual chewing | 2 |
About Yu Chen
Yu Chen is a scholar working on Computational Mathematics, Molecular Biology and Biotechnology, having authored 146 papers that have together received 3.5k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (37 papers), Biofuel production and bioconversion (16 papers) and Bioinformatics and Genomic Networks (13 papers). The work is most often cited by research in Molecular Biology (1.9k citations), Biotechnology (221 citations) and Biomedical Engineering (623 citations). Yu Chen has collaborated with scholars based in China, Sweden and Denmark. Frequent co-authors include Jens Nielsen, Tom Diethe, Peter Flach, Feiran Li, Kate Campbell, Yun Chen, Eduard J. Kerkhoven, Le Yuan, Xiaowei Li and Tao Yu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.
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.