Irene Li
Impact in
- Health Informatics top 5%
- Artificial Intelligence top 2%
- Topic Modeling
- Natural Language Processing Techniques
- Semantic Web and Ontologies
- Advanced Text Analysis Techniques
- Advanced Graph Neural Networks
Papers in
-
- Topic Modeling 21
- Natural Language Processing Techniques 12
- Advanced Graph Neural Networks 6
- Machine Learning in Healthcare 5
- Text Readability and Simplification 3
-
- Recommender Systems and Techniques 4
- Co-authors
- Dragomir Radev (10 shared papers)Michihiro Yasunaga (2 shared papers)Dongxu Wang (1 shared paper)Zilin Zhang (1 shared paper)Rui Zhang (1 shared paper)Tao Yu (1 shared paper)Kai Yang (1 shared paper)Zifan Li (1 shared paper)
- Journals
- Journal of Medical Internet Research (2 papers)Macromolecules (1 paper)BMC Psychology (1 paper)Computer Science Review (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesJapanSingapore
In The Last Decade
Irene Li
27 papers receiving 906 citations
Irene Li's Hit Papers
Peers
Comparison fields: 5 of 103
- Health Informatics 43
- Artificial Intelligence 677
- Health Information Management 41
- Information Systems 164
- General Social Sciences 17
Countries citing papers authored by Irene Li
This map shows the geographic impact of Irene 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 Irene Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Irene Li more than expected).
Fields of papers citing papers by Irene Li
This network shows the impact of papers produced by Irene 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 Irene Li. The network helps show where Irene Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Irene Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task Hit paper breakdown → | 2018 | 385 |
| 2 | 2022 | 118 | |
| 3 | 1995 | 112 | |
| 4 | 2019 | 102 | |
| 5 | 2020 | 84 | |
| 6 | 2019 | 29 | |
| 7 | 2024 | 20 | |
| 8 | 2023 | 16 | |
| 9 | 2024 | 14 | |
| 10 | 2020 | 14 | |
| 11 | 2022 | 9 | |
| 12 | 2021 | 8 | |
| 13 | 2024 | 7 | |
| 14 | 2021 | 7 | |
| 15 | 2022 | 6 | |
| 16 | 2024 | 5 | |
| 17 | 2024 | 5 | |
| 18 | 2024 | 4 | |
| 19 | 2012 | 4 | |
| 20 | 2024 | 3 |
About Irene Li
Irene Li is a scholar working on Artificial Intelligence, Information Systems, Molecular Biology, Mechanical Engineering and Civil and Structural Engineering, having authored 31 papers that have together received 968 indexed citations. Recurring topics across this work include Topic Modeling (21 papers), Natural Language Processing Techniques (12 papers), Advanced Graph Neural Networks (6 papers), Machine Learning in Healthcare (5 papers), Recommender Systems and Techniques (4 papers), Biomedical Text Mining and Ontologies (3 papers), Text Readability and Simplification (3 papers) and Structural Integrity and Reliability Analysis (2 papers). The work is most often cited by research in Health Informatics (43 citations), Artificial Intelligence (677 citations), Health Information Management (41 citations), Information Systems (164 citations) and General Social Sciences (17 citations). Irene Li has collaborated with scholars based in United States, Japan and Singapore. Frequent co-authors include Dragomir Radev, Michihiro Yasunaga, Dongxu Wang, Zilin Zhang, Rui Zhang, Tao Yu, Kai Yang, Zifan Li, James Ma and Alexander R. Fabbri. Their work appears in journals such as Journal of Medical Internet Research, Macromolecules, BMC Psychology, Computer Science Review and arXiv (Cornell University).
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.