Yunyao Li

1.9k total citations
55 papers, 944 citations indexed

About

Yunyao Li is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Yunyao Li has authored 55 papers receiving a total of 944 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Artificial Intelligence, 16 papers in Information Systems and 14 papers in Management Science and Operations Research. Recurrent topics in Yunyao Li's work include Topic Modeling (28 papers), Natural Language Processing Techniques (20 papers) and Semantic Web and Ontologies (17 papers). Yunyao Li is often cited by papers focused on Topic Modeling (28 papers), Natural Language Processing Techniques (20 papers) and Semantic Web and Ontologies (17 papers). Yunyao Li collaborates with scholars based in United States, Canada and China. Yunyao Li's co-authors include Frederick Reiss, Laura Chiticariu, Huahai Yang, H. V. Jagadish, H. V. Jagadish, Cong Yu, Huaiyu Zhu, Sriram Raghavan, Magesh Jayapandian and Aaron Elkiss and has published in prestigious journals such as Nucleic Acids Research, Proceedings of the VLDB Endowment and ACM SIGMOD Record.

In The Last Decade

Yunyao Li

50 papers receiving 875 citations

Peers

Yunyao Li
Comparison fields: 5 of 84
  • Artificial Intelligence 614
  • Information Systems 268
  • Computer Networks and Communications 260
  • Management Science and Operations Research 157
  • Signal Processing 146
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Citations per field, relative to Yunyao Li
Yunyao Li · 1×
Citations per year, relative to Yunyao Li
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Countries citing papers authored by Yunyao Li

Since Specialization
Citations

This map shows the geographic impact of Yunyao 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 Yunyao Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yunyao Li more than expected).

Fields of papers citing papers by Yunyao Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yunyao 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 Yunyao Li. The network helps show where Yunyao Li may publish in the future.

Co-authorship network of co-authors of Yunyao Li

This figure shows the co-authorship network connecting the top 25 collaborators of Yunyao Li. A scholar is included among the top collaborators of Yunyao 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 Yunyao Li. Yunyao Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 2
3 4
4 3
5 6
6 5
7 0
8 6
9 0
10
Ontology Mediated Information Extraction with MASTRO SYSTEM-T.
0
11 4
12
A Study on Interaction in Human-in-the-Loop Machine Learning for Text Analytics.
9
13 2
14
Transparent Machine Learning for Information Extraction: State-of-the-Art and the Future
3
15 125
16
Adaptive Parser-Centric Text Normalization
25
17
Automatic Term Ambiguity Detection
4
18
SystemT: A Declarative Information Extraction System
21
19 43
20
Enabling domain-awareness for a generic natural language interface
5

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.

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