Zhunan Li
About
In The Last Decade
Zhunan Li
13 papers receiving 393 citations
Hit Papers
Peers
Comparison fields: 5 of 68
- Cognitive Neuroscience 231
- Experimental and Cognitive Psychology 215
- Artificial Intelligence 60
- Human-Computer Interaction 51
- Epidemiology 38
Countries citing papers authored by Zhunan Li
This map shows the geographic impact of Zhunan 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 Zhunan Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhunan Li more than expected).
Fields of papers citing papers by Zhunan Li
This network shows the impact of papers produced by Zhunan 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 Zhunan Li. The network helps show where Zhunan Li may publish in the future.
Co-authorship network of co-authors of Zhunan Li
This figure shows the co-authorship network connecting the top 25 collaborators of Zhunan Li. A scholar is included among the top collaborators of Zhunan 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 Zhunan Li. Zhunan 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 | 0 | |
| 2 | 2 | |
| 3 | 95 | |
| 4 | MS-MDA: Multisource Marginal Distribution Adaptation for Cross-Subject and Cross-Session EEG Emotion Recognition breakdown → | 141 |
| 5 | 22 | |
| 6 | 0 | |
| 7 | 15 | |
| 8 | 8 | |
| 9 | 3 | |
| 10 | 10 | |
| 11 | 14 | |
| 12 | 30 | |
| 13 | 1 | |
| 14 | 25 | |
| 15 | 29 |
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.