Ning Qian
About
In The Last Decade
Ning Qian
5 papers receiving 818 citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Molecular Biology 702
- Materials Chemistry 164
- Computational Theory and Mathematics 132
- Artificial Intelligence 131
- Spectroscopy 65
Countries citing papers authored by Ning Qian
This map shows the geographic impact of Ning Qian'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 Qian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ning Qian more than expected).
Fields of papers citing papers by Ning Qian
This network shows the impact of papers produced by Ning Qian. 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 Qian. The network helps show where Ning Qian may publish in the future.
Co-authorship network of co-authors of Ning Qian
This figure shows the co-authorship network connecting the top 25 collaborators of Ning Qian. A scholar is included among the top collaborators of Ning Qian 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 Ning Qian. Ning Qian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 17 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 9 | |
| 6 | Predicting the secondary structure of globular proteins using neural network models breakdown → | 859 |
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.