Dianhai Yu

2.8k total citations · 1 hit paper
28 papers, 1.1k citations indexed

About

Dianhai Yu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Dianhai Yu has authored 28 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Information Systems. Recurrent topics in Dianhai Yu's work include Topic Modeling (10 papers), Natural Language Processing Techniques (9 papers) and Speech Recognition and Synthesis (6 papers). Dianhai Yu is often cited by papers focused on Topic Modeling (10 papers), Natural Language Processing Techniques (9 papers) and Speech Recognition and Synthesis (6 papers). Dianhai Yu collaborates with scholars based in China, United States and France. Dianhai Yu's co-authors include Daxiang Dong, Hua Wu, Wei He, Haifeng Wang, Yanjun Ma, Haifeng Wang, Xiangyang Zhou, Ying Chen, Li Lü and Yi Liu and has published in prestigious journals such as IEEE Transactions on Cybernetics, Neurocomputing and Neural Networks.

In The Last Decade

Dianhai Yu

27 papers receiving 995 citations

Hit Papers

Multi-Task Learning for Multiple Language Translation 2015 2026 2018 2022 2015 100 200 300

Peers

Dianhai Yu
Comparison fields: 5 of 101
  • Artificial Intelligence 846
  • Computer Vision and Pattern Recognition 301
  • Information Systems 129
  • Computer Networks and Communications 51
  • Signal Processing 32
Replace Jiajun Chen with:
Jiajun Chen China
Yue Hu China
Mingming Sun China
Kurt Driessens Netherlands
Xiubo Geng China
Jianpeng Cheng United Kingdom
Gongshen Liu China
Misha Denil United Kingdom
Jiajun Chen China View profile →
Citations per field, relative to Dianhai Yu
Dianhai Yu · 1×
Citations per year, relative to Dianhai Yu
Dianhai Yu · 1×

Countries citing papers authored by Dianhai Yu

Since Specialization
Citations

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

Fields of papers citing papers by Dianhai Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dianhai Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Dianhai Yu. A scholar is included among the top collaborators of Dianhai Yu 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 Dianhai Yu. Dianhai Yu 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 3
2 1
3 29
4 25
5 4
6 3
7 24
8 12
9 0
10 13
11 5
12
A New Method of Region Embedding for Text Classification
31
13 184
14 130
15
Multi-Task Learning for Multiple Language Translation breakdown →
316
16
Cross-lingual Projections between Languages from Different Families
3
17
Generalization of Words for Chinese Dependency Parsing
4
18
Compound Embedding Features for Semi-supervised Learning
17
19 4
20
An Improved CRF based Chinese Language Processing System for SIGHAN Bakeoff 2007
3

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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