Yunyao Li

1.6k citations
43 papers · 642 indexed · h-index 12

Yunyao Li

40 papers receiving 586 citations

Peers

Yunyao Li
Comparison fields: 5 of 86
  • Artificial Intelligence 410
  • Management Science and Operations Research 121
  • Information Systems 179
  • Software 15
  • Computer Networks and Communications 71
Replace C. Maria Keet with:
C. Maria Keet South Africa
Dong‐Kyu Chae South Korea
Panos Constantopoulos Greece
Anxiang Zeng China
Hyuckchul Jung United States
Jiakai Tang China
Melinda Gervasio United States
Djallel Bouneffouf United States
Xiao Bai United States
Swaroop Mishra United States
Yunyao Li relative to C. Maria Keet South Africa C. Maria Keet's profile →
Citations per field
00.5×2.8×
C. Maria Keet · 1×
Citations per year

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

The 25 scholars most cited alongside Yunyao Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yunyao Li Line = papers co-authored together Yunyao Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20243
4 20240
5 20242
6 20241
7 20231
8 20222
9 202120
10 202013
11 20192
12
Exploiting Structure in Representation of Named Entities using Active Learning.
20186
13
K-SRL: Instance-based Learning for Semantic Role Labeling
20166
14
Multilingual Aliasing for Auto-Generating Proposition Banks
20166
15
Multilingual Information Extraction with PolyglotIE
20165
16 201519
17
Domain Adaptation of Rule-Based Annotators for Named-Entity Recognition Tasks
201087
18
SystemT: An Algebraic Approach to Declarative Information Extraction
2010100
19 20104
20 20092

About Yunyao Li

Yunyao Li is a scholar working on Artificial Intelligence, Management Science and Operations Research and Information Systems, having authored 43 papers that have together received 642 indexed citations. Recurring topics across this work include Topic Modeling (19 papers), Natural Language Processing Techniques (18 papers), Web Data Mining and Analysis (9 papers), Semantic Web and Ontologies (7 papers), Data Quality and Management (7 papers), Advanced Database Systems and Queries (4 papers), Text Readability and Simplification (3 papers) and Information Retrieval and Search Behavior (3 papers). The work is most often cited by research in Artificial Intelligence (410 citations), Management Science and Operations Research (121 citations) and Information Systems (179 citations). Yunyao Li has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Shivakumar Vaithyanathan, Rajasekar Krishnamurthy, Laura Chiticariu, Sriram Raghavan, Frederick Reiss, H. V. Jagadish, Alan Akbik, Huaiyu Zhu, Marina Danilevsky and Yiwei Liu. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Colloids and Surfaces A Physicochemical and Engineering Aspects.

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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