Xian Li
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 5%
- Statistical and Nonlinear Physics top 5%
- Signal Processing top 10%
- Electrical and Electronic Engineering
- Co-authors
- Naman GoyalJiatao GuMarjan GhazvininejadSergey EdunovYinhan LiuLuke ZettlemoyerMike LewisBiao Li
- Topics
- Natural Language Processing Techniques (8 papers)Model Reduction and Neural Networks (7 papers)Topic Modeling (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Computational PhysicsIEEE Transactions on Image Processing
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Xian Li
64 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Artificial Intelligence 781
- Computer Vision and Pattern Recognition 296
- Statistical and Nonlinear Physics 152
- Signal Processing 97
- Electrical and Electronic Engineering 82
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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 5 | |
| 10 | 1 | |
| 11 | 23 | |
| 12 | 23 | |
| 13 | 29 | |
| 14 | 2 | |
| 15 | 6 | |
| 16 | 6 | |
| 17 | 17 | |
| 18 | Cross-Modal Transfer Learning for Multilingual Speech-to-Text Translation. | 2 |
| 19 | 13 | |
| 20 | MultiBoost with SVM-based ensemble classification method and application | 5 |
About Xian Li
Xian Li is a scholar working on Statistical and Nonlinear Physics, Modeling and Simulation and Molecular Medicine, having authored 70 papers that have together received 1.4k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (8 papers), Model Reduction and Neural Networks (7 papers) and Topic Modeling (6 papers). The work is most often cited by research in Artificial Intelligence (781 citations), Computer Vision and Pattern Recognition (296 citations) and Modeling and Simulation (64 citations). Xian Li has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Naman Goyal, Jiatao Gu, Marjan Ghazvininejad, Sergey Edunov, Yinhan Liu, Luke Zettlemoyer, Mike Lewis, Biao Li, Yao Wang and Juan Pino. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and IEEE Transactions on Image Processing.
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.