Limin Yao
Impact in
- Artificial Intelligence top 0.5%
- Topic Modeling
- Advanced Graph Neural Networks
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Semantic Web and Ontologies
-
- Complex Network Analysis Techniques
Papers in
-
- Topic Modeling 16
- Natural Language Processing Techniques 10
- Semantic Web and Ontologies 4
- Co-authors
- Jie TangJuanzi LiZhong SuJing ZhangLi ZhangSebastian RiedelAndrew McCallumDavid Mimno
- Journals
- Tsinghua Science & Technology (1 paper)ACM Transactions on Knowledge Discovery from Data (1 paper)Medicine (1 paper)BMC Pregnancy and Childbirth (1 paper)Archives of Dermatological Research (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Limin Yao
25 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Artificial Intelligence 1.9k
- Statistical and Nonlinear Physics 693
- Information Systems 807
- Computational Mathematics 12
- Computer Science Applications 109
Countries citing papers authored by Limin Yao
This map shows the geographic impact of Limin Yao'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 Limin Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Limin Yao more than expected).
Fields of papers citing papers by Limin Yao
This network shows the impact of papers produced by Limin Yao. 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 Limin Yao. The network helps show where Limin Yao may publish in the future.
Co-authors
The 25 scholars most cited alongside Limin Yao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 2 | |
| 6 | Relation Extraction with Matrix Factorization and Universal Schemas Hit paper breakdown → | 2013 | 314 |
| 7 | Universal Schema for Slot Filling and Cold Start: UMass IESL at TACKBP 2013. | 2013 | 3 |
| 8 | Probabilistic Databases of Universal Schema | 2012 | 16 |
| 9 | Unsupervised Relation Discovery with Sense Disambiguation | 2012 | 33 |
| 10 | Structured Relation Discovery using Generative Models | 2011 | 95 |
| 11 | Constraint-Driven Rank-Based Learning for Information Extraction | 2010 | 3 |
| 12 | Collective Cross-Document Relation Extraction Without Labelled Data | 2010 | 69 |
| 13 | 2010 | 110 | |
| 14 | 2009 | 62 | |
| 15 | 2009 | 2 | |
| 16 | 2008 | 21 | |
| 17 | 2007 | 87 | |
| 18 | ArnetMiner: an expertise oriented search system for web community | 2007 | 24 |
| 19 | 2007 | 1 | |
| 20 | 2005 | 13 |
About Limin Yao
Limin Yao is a scholar working on Artificial Intelligence, General Social Sciences, Toxicology, Information Systems and Pharmacology, having authored 26 papers that have together received 2.5k indexed citations. Recurring topics across this work include Topic Modeling (16 papers), Natural Language Processing Techniques (10 papers), Expert finding and Q&A systems (5 papers), Semantic Web and Ontologies (4 papers), Web Data Mining and Analysis (3 papers), Biomedical Text Mining and Ontologies (2 papers), Drug-Induced Adverse Reactions (2 papers) and Autoimmune Bullous Skin Diseases (2 papers). The work is most often cited by research in Artificial Intelligence (1.9k citations), Statistical and Nonlinear Physics (693 citations), Information Systems (807 citations), Computational Mathematics (12 citations) and Computer Science Applications (109 citations). Limin Yao has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jie Tang, Juanzi Li, Zhong Su, Jing Zhang, Li Zhang, Sebastian Riedel, Andrew McCallum, Andrew McCallum, David Mimno and Benjamin M. Marlin. Their work appears in journals such as Tsinghua Science & Technology, ACM Transactions on Knowledge Discovery from Data, Medicine, BMC Pregnancy and Childbirth and Archives of Dermatological Research.
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.