Xian Li
About
In The Last Decade
Xian Li
35 papers receiving 371 citations
Peers
Comparison fields: 5 of 92
- Sociology and Political Science 88
- Artificial Intelligence 75
- Cognitive Neuroscience 55
- Education 54
- Pathology and Forensic Medicine 51
Countries citing papers authored by Xian Li
This map shows the geographic impact of Xian 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 Xian Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xian Li more than expected).
Fields of papers citing papers by Xian Li
This network shows the impact of papers produced by Xian 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 Xian Li. The network helps show where Xian Li may publish in the future.
Co-authorship network of co-authors of Xian Li
This figure shows the co-authorship network connecting the top 25 collaborators of Xian Li. A scholar is included among the top collaborators of Xian 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 Xian Li. Xian 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 | 7 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 6 | |
| 8 | 0 | |
| 9 | 4 | |
| 10 | 2 | |
| 11 | Deep Transformers with Latent Depth | 3 |
| 12 | Cross-lingual Retrieval for Iterative Self-Supervised Training | 16 |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 63 | |
| 16 | CVTE at IJCNLP-2017 Task 1: Character Checking System for Chinese Grammatical Error Diagnosis Task | 1 |
| 17 | Deep Voice: Real-time Neural Text-to-Speech | 39 |
| 18 | 7 | |
| 19 | 7 | |
| 20 | Can verb classifiers be borrowed from nouns | 0 |
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.