Yanen Li
- Information Systems top 5%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Management Science and Operations Research
- Signal Processing
- Co-authors
- ChengXiang ZhaiYe ChenJia HuHamid Reza KarimiJiliang TangHuizhong DuanKuansan WangBo-June Hsu
- Topics
- Topic Modeling (5 papers)Web Data Mining and Analysis (4 papers)Natural Language Processing Techniques (4 papers)
- Journals
- BioinformaticsKnowledge and Information SystemsEmpirical Methods in Natural Language Processing
- Partner nations
- United StatesChinaItaly
In The Last Decade
Yanen Li
15 papers receiving 274 citations
Peers
Comparison fields: 5 of 62
- Information Systems 156
- Artificial Intelligence 148
- Computer Vision and Pattern Recognition 63
- Management Science and Operations Research 32
- Signal Processing 29
Countries citing papers authored by Yanen Li
This map shows the geographic impact of Yanen 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 Yanen Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanen Li more than expected).
Fields of papers citing papers by Yanen Li
This network shows the impact of papers produced by Yanen 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 Yanen Li. The network helps show where Yanen Li may publish in the future.
Co-authorship network of co-authors of Yanen Li
This figure shows the co-authorship network connecting the top 25 collaborators of Yanen Li. A scholar is included among the top collaborators of Yanen 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 Yanen Li. Yanen 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 | 39 | |
| 2 | 14 | |
| 3 | 6 | |
| 4 | 25 | |
| 5 | 11 | |
| 6 | 8 | |
| 7 | 9 | |
| 8 | A Discriminative Model for Query Spelling Correction with Latent Structural SVM | 10 |
| 9 | 7 | |
| 10 | 17 | |
| 11 | 21 | |
| 12 | 30 | |
| 13 | Reconstructing missing signals in multi-parameter physiologic data by mining the aligned contextual information | 2 |
| 14 | 84 | |
| 15 | Medical case-based retrieval by leveraging medical ontology and physician feedback: UIUC-IBM at ImageCLEF 2010 | 3 |
About Yanen Li
Yanen Li is a scholar working on Computer Science Applications, Toxicology and Information Systems, having authored 15 papers that have together received 286 indexed citations. Recurring topics across this work include Topic Modeling (5 papers), Web Data Mining and Analysis (4 papers) and Natural Language Processing Techniques (4 papers). The work is most often cited by research in Information Systems (156 citations), Artificial Intelligence (148 citations) and Computer Vision and Pattern Recognition (63 citations). Yanen Li has collaborated with scholars based in United States, China and Italy. Frequent co-authors include ChengXiang Zhai, Ye Chen, Jia Hu, Hamid Reza Karimi, Jiliang Tang, Huizhong Duan, Kuansan Wang, Ye Chen, ChengXiang Zhai and Bo-June Hsu. Their work appears in journals such as Bioinformatics, Knowledge and Information Systems and Empirical Methods in Natural Language 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.