Yizhou Yu
- Health, Toxicology and Mutagenesis top 5%
- Global and Planetary Change top 10%
- Modeling and Simulation top 2%
- Radiology, Nuclear Medicine and Imaging
- Pulmonary and Respiratory Medicine
- Co-authors
- L. Miguel MartinsNuno Santos LealRebeka PopovicMarco TravaglioLiza SelleyGiorgio FedeleSamantha H. Y. LohIvana Celardo
- Topics
- Mitochondrial Function and Pathology (6 papers)Radiomics and Machine Learning in Medical Imaging (6 papers)COVID-19 diagnosis using AI (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaEnvironmental PollutionInternational Journal of Molecular Sciences
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
Yizhou Yu
29 papers receiving 739 citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Health, Toxicology and Mutagenesis 256
- Global and Planetary Change 255
- Modeling and Simulation 131
- Radiology, Nuclear Medicine and Imaging 86
- Pulmonary and Respiratory Medicine 83
Countries citing papers authored by Yizhou Yu
This map shows the geographic impact of Yizhou Yu'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 Yizhou Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yizhou Yu more than expected).
Fields of papers citing papers by Yizhou Yu
This network shows the impact of papers produced by Yizhou Yu. 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 Yizhou Yu. The network helps show where Yizhou Yu may publish in the future.
Co-authorship network of co-authors of Yizhou Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Yizhou Yu. A scholar is included among the top collaborators of Yizhou Yu 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 Yizhou Yu. Yizhou Yu 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 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 7 | |
| 7 | 3 | |
| 8 | 8 | |
| 9 | 21 | |
| 10 | 7 | |
| 11 | 13 | |
| 12 | 8 | |
| 13 | 23 | |
| 14 | 48 | |
| 15 | 33 | |
| 16 | 3 | |
| 17 | 36 | |
| 18 | Links between air pollution and COVID-19 in Englandbreakdown → | 411 |
| 19 | 7 | |
| 20 | 24 |
About Yizhou Yu
Yizhou Yu is a scholar working on Aging, Health Informatics and Biological Psychiatry, having authored 34 papers that have together received 749 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and COVID-19 diagnosis using AI (5 papers). The work is most often cited by research in Modeling and Simulation (131 citations), Health, Toxicology and Mutagenesis (256 citations) and Health Informatics (20 citations). Yizhou Yu has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include L. Miguel Martins, Nuno Santos Leal, Rebeka Popovic, Marco Travaglio, Liza Selley, Giorgio Fedele, Samantha H. Y. Loh, Ivana Celardo, Zhen Zhou and Zheming Li. Their work appears in journals such as SHILAP Revista de lepidopterología, Environmental Pollution and International Journal of Molecular Sciences.
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.