H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 42 Citations 7,649 164 World Ranking 4154 National Ranking 388

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Artificial neural network

His primary areas of investigation include Artificial intelligence, Information retrieval, Machine learning, Natural language processing and Pattern recognition. Yangqiu Song regularly links together related areas like Collaborative filtering in his Artificial intelligence studies. His work deals with themes such as Text mining and Interactive visualization, which intersect with Information retrieval.

His research in the fields of Transfer of learning and Decision boundary overlaps with other disciplines such as Contextual image classification. His Natural language processing study combines topics in areas such as Deep learning, Convolutional neural network, Leverage and Domain knowledge. His work investigates the relationship between Pattern recognition and topics such as Cluster analysis that intersect with problems in Data set and Parallel algorithm.

His most cited work include:

  • Parallel Spectral Clustering in Distributed Systems (449 citations)
  • TextFlow: Towards Better Understanding of Evolving Topics in Text (266 citations)
  • Short text conceptualization using a probabilistic knowledgebase (182 citations)

What are the main themes of his work throughout his whole career to date?

His primary scientific interests are in Artificial intelligence, Natural language processing, Machine learning, Information retrieval and Data mining. His Artificial intelligence study frequently draws parallels with other fields, such as Pattern recognition. His Natural language processing research incorporates themes from Context, Relation, Pronoun and Coreference.

His Machine learning research is multidisciplinary, relying on both Crowdsourcing and Usability. His Information retrieval study integrates concerns from other disciplines, such as Text mining, Social media and Knowledge base. Data mining is frequently linked to Cluster analysis in his study.

He most often published in these fields:

  • Artificial intelligence (55.74%)
  • Natural language processing (23.83%)
  • Machine learning (20.00%)

What were the highlights of his more recent work (between 2019-2021)?

  • Artificial intelligence (55.74%)
  • Natural language processing (23.83%)
  • Commonsense knowledge (7.23%)

In recent papers he was focusing on the following fields of study:

Yangqiu Song focuses on Artificial intelligence, Natural language processing, Commonsense knowledge, Theoretical computer science and Benchmark. His Artificial intelligence study incorporates themes from Crowdsourcing, Machine learning and Pattern recognition. His research in Natural language processing intersects with topics in Context, Relation and Resolution.

Yangqiu Song has included themes like Language model, Representation and Data science in his Commonsense knowledge study. His biological study spans a wide range of topics, including Logical consequence, Task analysis and Directed graph. His research on Benchmark also deals with topics like

  • Margin most often made with reference to Algorithm,
  • Node and related Link,
  • Ideal, which have a strong connection to Interpretability.

Between 2019 and 2021, his most popular works were:

  • TransOMCS: From Linguistic Graphs to Commonsense Knowledge (14 citations)
  • Event detection and evolution in multi-lingual social streams (13 citations)
  • ASER: A Large-scale Eventuality Knowledge Graph (12 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Machine learning
  • Artificial neural network

His primary areas of study are Artificial intelligence, Natural language processing, Theoretical computer science, Commonsense knowledge and Data science. In most of his Artificial intelligence studies, his work intersects topics such as Pattern recognition. The study incorporates disciplines such as Discourse relation and Representation in addition to Natural language processing.

His work in the fields of Theoretical computer science, such as PageRank, overlaps with other areas such as Motif. He interconnects Categorization, Commonsense reasoning and Leverage in the investigation of issues within Commonsense knowledge. His study in Data science is interdisciplinary in nature, drawing from both Relation, Inference, Focus and Knowledge graph.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

Parallel Spectral Clustering in Distributed Systems

Wen-Yen Chen;Yangqiu Song;Hongjie Bai;Chih-Jen Lin.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2011)

673 Citations

TextFlow: Towards Better Understanding of Evolving Topics in Text

Weiwei Cui;Shixia Liu;Li Tan;Conglei Shi.
IEEE Transactions on Visualization and Computer Graphics (2011)

432 Citations

TIARA: a visual exploratory text analytic system

Furu Wei;Shixia Liu;Yangqiu Song;Shimei Pan.
knowledge discovery and data mining (2010)

288 Citations

Short text conceptualization using a probabilistic knowledgebase

Yangqiu Song;Haixun Wang;Zhongyuan Wang;Hongsong Li.
international joint conference on artificial intelligence (2011)

252 Citations

Meta-Graph Based Recommendation Fusion over Heterogeneous Information Networks

Huan Zhao;Quanming Yao;Jianda Li;Yangqiu Song.
knowledge discovery and data mining (2017)

214 Citations

Semi-Supervised Multi-label Learning by Solving a Sylvester Equation

Gang Chen;Yangqiu Song;Fei Wang;Changshui Zhang.
siam international conference on data mining (2008)

207 Citations

A unified framework for semi-supervised dimensionality reduction

Yangqiu Song;Feiping Nie;Changshui Zhang;Shiming Xiang.
Pattern Recognition (2008)

198 Citations

Maximum-Likelihood Augmented Discrete Generative Adversarial Networks

Tong Che;Yanran Li;Ruixiang Zhang;R Devon Hjelm.
arXiv: Artificial Intelligence (2017)

189 Citations

Large-Scale Hierarchical Text Classification with Recursively Regularized Deep Graph-CNN

Hao Peng;Jianxin Li;Yu He;Yaopeng Liu.
the web conference (2018)

172 Citations

TIARA: Interactive, Topic-Based Visual Text Summarization and Analysis

Shixia Liu;Michelle X. Zhou;Shimei Pan;Yangqiu Song.
ACM Transactions on Intelligent Systems and Technology (2012)

164 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

If you think any of the details on this page are incorrect, let us know.

Contact us

Top Scientists Citing Yangqiu Song

Jiawei Han

Jiawei Han

University of Illinois at Urbana-Champaign

Publications: 66

Philip S. Yu

Philip S. Yu

University of Illinois at Chicago

Publications: 47

Dan Roth

Dan Roth

University of Pennsylvania

Publications: 36

Feiping Nie

Feiping Nie

Northwestern Polytechnical University

Publications: 36

Shixia Liu

Shixia Liu

Tsinghua University

Publications: 31

Erik Cambria

Erik Cambria

Nanyang Technological University

Publications: 30

Huamin Qu

Huamin Qu

Hong Kong University of Science and Technology

Publications: 28

Haixun Wang

Haixun Wang

Instacart

Publications: 26

Chuan Shi

Chuan Shi

Beijing University of Posts and Telecommunications

Publications: 23

Xuelong Li

Xuelong Li

Northwestern Polytechnical University

Publications: 20

Jianxin Li

Jianxin Li

Tianjin Polytechnic University

Publications: 19

Chao Zhang

Chao Zhang

Beihang University

Publications: 18

Zhao Zhang

Zhao Zhang

Hefei University of Technology

Publications: 18

Heng Huang

Heng Huang

University of Pittsburgh

Publications: 16

Tat-Seng Chua

Tat-Seng Chua

National University of Singapore

Publications: 14

Something went wrong. Please try again later.