Zhuliang Yu
About
In The Last Decade
Zhuliang Yu
6 papers receiving 380 citations
Peers
Comparison fields: 5 of 33
- Cognitive Neuroscience 367
- Cellular and Molecular Neuroscience 216
- Human-Computer Interaction 138
- Electrical and Electronic Engineering 101
- Signal Processing 36
Countries citing papers authored by Zhuliang Yu
This map shows the geographic impact of Zhuliang 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 Zhuliang Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhuliang Yu more than expected).
Fields of papers citing papers by Zhuliang Yu
This network shows the impact of papers produced by Zhuliang 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 Zhuliang Yu. The network helps show where Zhuliang Yu may publish in the future.
Co-authorship network of co-authors of Zhuliang Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Zhuliang Yu. A scholar is included among the top collaborators of Zhuliang 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 Zhuliang Yu. Zhuliang 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 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 9 | |
| 7 | 2 | |
| 8 | 46 | |
| 9 | 323 | |
| 10 | 7 |
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.