Qing Zhou
About
In The Last Decade
Qing Zhou
55 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 149
- Molecular Biology 1.0k
- Biomedical Engineering 190
- Automotive Engineering 130
- Artificial Intelligence 121
- Genetics 103
Countries citing papers authored by Qing Zhou
This map shows the geographic impact of Qing Zhou'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 Qing Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing Zhou more than expected).
Fields of papers citing papers by Qing Zhou
This network shows the impact of papers produced by Qing Zhou. 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 Qing Zhou. The network helps show where Qing Zhou may publish in the future.
Co-authorship network of co-authors of Qing Zhou
This figure shows the co-authorship network connecting the top 25 collaborators of Qing Zhou. A scholar is included among the top collaborators of Qing Zhou 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 Qing Zhou. Qing Zhou 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 | 3 | |
| 3 | 0 | |
| 4 | 24 | |
| 5 | 38 | |
| 6 | Learning Big Gaussian Bayesian Networks: Partition, Estimation and Fusion | 2 |
| 7 | Globally optimal score-based learning of directed acyclic graphs in high-dimensions | 2 |
| 8 | Gaussian DAGs on network data. | 1 |
| 9 | Partial correlation graphs and the neighborhood lattice. | 1 |
| 10 | Deviation from Target Capital Structure, Cost of Equity and Speed of Adjustment | 0 |
| 11 | Concave Penalized Estimation of Sparse Bayesian Networks. | 0 |
| 12 | 11 | |
| 13 | 14 | |
| 14 | 4 | |
| 15 | Extracting Sequence Features to Predict\nProtein–DNA Interactions: A Comparative Study | 34 |
| 16 | 67 | |
| 17 | 170 | |
| 18 | 10 | |
| 19 | 496 | |
| 20 | 1 |
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.