Dian Yu

1.8k citations
39 papers · 490 · h-index 13

Impact in

Papers in

Dian Yu

38 papers receiving 461 citations

Peers

Dian Yu
Comparison fields: 5 of 51
  • Artificial Intelligence 419
  • Computer Science Applications 46
  • Computer Vision and Pattern Recognition 93
  • Management Science and Operations Research 46
  • Information Systems 51
Replace Qiang Cui with:
Qiang Cui China
Hongzhao Huang United States
Chi Thang Duong Australia
Jianheng Tang China
João Vinagre Portugal
Segev Shlomov Israel
Rob Hall United States
David Vickrey United States
Austin Waters United States
Dian Yu relative to Qiang Cui China Qiang Cui's profile →
Citations per field
00.5×10×20×26×
Qiang Cui · 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 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019114
2 202137
3 201537
4
The Wisdom of Minority: Unsupervised Slot Filling Validation based on Multi-dimensional Truth-Finding
201437
5 201923
6 201920
7 201916
8
Resolving Entity Morphs in Censored Data
201315
9 202215
10
RPI BLENDER TAC-KBP2015 system description
201513
11 202013
12
Open Relation Extraction and Grounding
201712
13 202112
14 202311
15
RPI BLENDER TAC-KBP2016 System Description.
201610
16 201510
17 201610
18 20219
19 20197
20 20217

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 39 papers that have together received 490 indexed citations. Recurring topics across this work include Topic Modeling (32 papers), Natural Language Processing Techniques (26 papers), Multimodal Machine Learning Applications (8 papers), Speech and dialogue systems (7 papers), Semantic Web and Ontologies (4 papers), Data Quality and Management (4 papers), Text Readability and Simplification (4 papers) and Advanced Text Analysis Techniques (3 papers). The work is most often cited by research in Artificial Intelligence (419 citations), Computer Science Applications (46 citations), Computer Vision and Pattern Recognition (93 citations), Management Science and Operations Research (46 citations) and Information Systems (51 citations). Dian Yu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Dong Yu, Kai Sun, Jianshu Chen, Heng Ji, Claire Cardie, Yejin Choi, Jiawei Han, Shi Zhi, Panupong Pasupat and Xinya Du. 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 Journal of Sensors.

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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