Jinzhou Li
- Modeling and Simulation top 5%
- Molecular Biology
- Artificial Intelligence
- Computer Science Applications top 10%
- Materials Chemistry
- Co-authors
- Marloes H. MaathuisJana S. HuismanTanja StadlerDaniel C. AngstSebastian BonhoefferJérémie ScireFuli ZhangXiaomei Bai
- Topics
- Process Optimization and Integration (3 papers)COVID-19 epidemiological studies (2 papers)Advanced Multi-Objective Optimization Algorithms (2 papers)
- Journals
- Journal of the American Statistical AssociationApplied Catalysis B: EnvironmentalChemical Engineering Science
- Partner nations
- ChinaSwitzerlandAustralia
In The Last Decade
Jinzhou Li
23 papers receiving 278 citations
Peers
Comparison fields: 5 of 105
- Modeling and Simulation 47
- Molecular Biology 44
- Artificial Intelligence 44
- Computer Science Applications 27
- Materials Chemistry 25
Countries citing papers authored by Jinzhou Li
This map shows the geographic impact of Jinzhou Li'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 Jinzhou Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinzhou Li more than expected).
Fields of papers citing papers by Jinzhou Li
This network shows the impact of papers produced by Jinzhou Li. 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 Jinzhou Li. The network helps show where Jinzhou Li may publish in the future.
Co-authorship network of co-authors of Jinzhou Li
This figure shows the co-authorship network connecting the top 25 collaborators of Jinzhou Li. A scholar is included among the top collaborators of Jinzhou Li 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 Jinzhou Li. Jinzhou Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 12 | |
| 8 | 2 | |
| 9 | 0 | |
| 10 | 32 | |
| 11 | 3 | |
| 12 | 50 | |
| 13 | 6 | |
| 14 | 6 | |
| 15 | 1 | |
| 16 | 49 | |
| 17 | 22 | |
| 18 | 12 | |
| 19 | 10 | |
| 20 | Nodewise Knockoffs: False Discovery Rate Control for Gaussian Graphical Models | 3 |
About Jinzhou Li
Jinzhou Li is a scholar working on Statistics and Probability, Modeling and Simulation and Statistics, Probability and Uncertainty, having authored 26 papers that have together received 284 indexed citations. Recurring topics across this work include Process Optimization and Integration (3 papers), COVID-19 epidemiological studies (2 papers) and Advanced Multi-Objective Optimization Algorithms (2 papers). The work is most often cited by research in Modeling and Simulation (47 citations), Computer Science Applications (27 citations) and Statistics and Probability (19 citations). Jinzhou Li has collaborated with scholars based in China, Switzerland and Australia. Frequent co-authors include Marloes H. Maathuis, Jana S. Huisman, Tanja Stadler, Daniel C. Angst, Sebastian Bonhoeffer, Jérémie Scire, Fuli Zhang, Xiaomei Bai, Jie Dang and Teng Guo. Their work appears in journals such as Journal of the American Statistical Association, Applied Catalysis B: Environmental and Chemical Engineering Science.
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.