Yanran Li
About
In The Last Decade
Yanran Li
22 papers receiving 290 citations
Peers
Comparison fields: 5 of 65
- Artificial Intelligence 226
- Computer Vision and Pattern Recognition 42
- Social Psychology 31
- Experimental and Cognitive Psychology 29
- Materials Chemistry 25
Countries citing papers authored by Yanran Li
This map shows the geographic impact of Yanran 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 Yanran Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanran Li more than expected).
Fields of papers citing papers by Yanran Li
This network shows the impact of papers produced by Yanran 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 Yanran Li. The network helps show where Yanran Li may publish in the future.
Co-authorship network of co-authors of Yanran Li
This figure shows the co-authorship network connecting the top 25 collaborators of Yanran Li. A scholar is included among the top collaborators of Yanran 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 Yanran Li. Yanran 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 | 1 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 20 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 41 | |
| 11 | 8 | |
| 12 | 36 | |
| 13 | 4 | |
| 14 | 6 | |
| 15 | 1 | |
| 16 | 37 | |
| 17 | 8 | |
| 18 | AttSum: Joint learning of focusing and summarization with neural attention | 35 |
| 19 | Query-focused Multi-Document Summarization: Combining a Topic Model with Graph-based Semi-supervised Learning | 21 |
| 20 | 4 |
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.