Dian Yu

1.9k citations
41 papers · 575 · h-index 14

Impact in

Papers in

Dian Yu

40 papers receiving 542 citations

Peers

Dian Yu
Comparison fields: 5 of 58
  • Artificial Intelligence 483
  • Computer Science Applications 53
  • Computer Vision and Pattern Recognition 113
  • Management Science and Operations Research 47
  • Information Systems 63
Replace Jingwei Sun with:
Jingwei Sun United States
Seung-won Hwang South Korea
David Vickrey United States
Qinglong Li South Korea
Segev Shlomov Israel
Amit Somech Israel
Hongzhao Huang United States
Da Luo China
Kevin Dela Rosa United States
Austin Waters United States
Dian Yu relative to Jingwei Sun United States Jingwei Sun's profile →
Citations per field
00.5×10×20×26×
Jingwei Sun · 1×
Citations per year

Countries citing papers authored by Dian Yu

Since Specialization
Citations

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

Fields of papers citing papers by Dian Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dian Yu, 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 Dian Yu Line = papers co-authored together Dian Yu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019126
2
The Wisdom of Minority: Unsupervised Slot Filling Validation based on Multi-dimensional Truth-Finding
201442
3 202140
4 201539
5 201926
6 201925
7 202021
8 202319
9 201918
10
Resolving Entity Morphs in Censored Data
201317
11 202417
12 202215
13
RPI BLENDER TAC-KBP2015 system description
201513
14 202113
15
Open Relation Extraction and Grounding
201713
16 201613
17 201513
18 202111
19
RPI BLENDER TAC-KBP2016 System Description.
201610
20
RPI-BLENDER TAC-KBP2013 Knowledge Base Population System
20137

About Dian Yu

Dian Yu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Management Science and Operations Research, Information Systems and Computer Networks and Communications, having authored 41 papers that have together received 575 indexed citations. Recurring topics across this work include Topic Modeling (33 papers), Natural Language Processing Techniques (26 papers), Multimodal Machine Learning Applications (8 papers), Speech and dialogue systems (7 papers), Data Quality and Management (4 papers), Semantic Web and Ontologies (4 papers), Text Readability and Simplification (4 papers) and Advanced Graph Neural Networks (3 papers). The work is most often cited by research in Artificial Intelligence (483 citations), Computer Science Applications (53 citations), Computer Vision and Pattern Recognition (113 citations), Management Science and Operations Research (47 citations) and Information Systems (63 citations). Dian Yu has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Dong Yu, Jianshu Chen, Heng Ji, Kai Sun, Claire Cardie, Yejin Choi, Jiawei Han, Shi Zhi, Luheng He and Panupong Pasupat. Their work appears in journals such as Theory and applications of categories, Transactions of the Association for Computational Linguistics, Environmental Science and Pollution Research, ISPRS Journal of Photogrammetry and Remote Sensing and Lecture notes in computer science.

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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