H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 36 Citations 5,573 171 World Ranking 5553 National Ranking 524

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Algorithm

His primary areas of investigation include Artificial intelligence, Natural language processing, Machine learning, RDF and Graph. Artificial neural network, Parsing, Relationship extraction, Representation and Semantics are the subjects of his Artificial intelligence studies. His work on Question answering as part of general Natural language processing research is frequently linked to Metric, thereby connecting diverse disciplines of science.

His Machine learning study integrates concerns from other disciplines, such as Attention network and SemEval. His work in the fields of SPARQL, RDF/XML and RDF Schema overlaps with other areas such as RDF query language. The concepts of his Graph study are interwoven with issues in Lattice graph, Graph edit distance, Graph and Distance-hereditary graph.

His most cited work include:

  • Style Transfer in Text: Exploration and Evaluation. (229 citations)
  • gStore: answering SPARQL queries via subgraph matching (202 citations)
  • Natural language question answering over RDF: a graph data driven approach (180 citations)

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

His main research concerns Artificial intelligence, Natural language processing, Information retrieval, Theoretical computer science and Machine learning. Dongyan Zhao merges many fields, such as Artificial intelligence and Conversation, in his writings. His Natural language processing research incorporates elements of Autoencoder, Generative grammar, Dialog box and Benchmark.

His Theoretical computer science research integrates issues from Graph, Distance-hereditary graph, Knowledge graph and Subgraph isomorphism problem, Graph. Dongyan Zhao has researched Machine learning in several fields, including Relationship extraction, Training set and Inference. The Question answering study combines topics in areas such as Relation and Natural language.

He most often published in these fields:

  • Artificial intelligence (43.78%)
  • Natural language processing (27.04%)
  • Information retrieval (23.18%)

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

  • Artificial intelligence (43.78%)
  • Information retrieval (23.18%)
  • Selection (8.58%)

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

Dongyan Zhao focuses on Artificial intelligence, Information retrieval, Selection, Natural language processing and Human–computer interaction. His work carried out in the field of Artificial intelligence brings together such families of science as Consistency and Machine learning. In his study, which falls under the umbrella issue of Information retrieval, Generative grammar and Question answering is strongly linked to E-commerce.

Dongyan Zhao has included themes like Deep learning and Translation in his Natural language processing study. His Human–computer interaction study combines topics from a wide range of disciplines, such as Field, Utterance and Dialog box. His work deals with themes such as Graph and Relation, which intersect with Theoretical computer science.

Between 2019 and 2021, his most popular works were:

  • Low-Resource Knowledge-Grounded Dialogue Generation (20 citations)
  • Learning to Respond with Stickers: A Framework of Unifying Multi-Modality in Multi-Turn Dialog (11 citations)
  • A Character-Centric Neural Model for Automated Story Generation (11 citations)

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

  • Artificial intelligence
  • Machine learning
  • Algorithm

Dongyan Zhao spends much of his time researching Information retrieval, Selection, Human–computer interaction, Artificial intelligence and Structure. His research integrates issues of Frame and Dialog box in his study of Information retrieval. His studies in Artificial intelligence integrate themes in fields like Consistency and Machine learning.

Many of his research projects under Machine learning are closely connected to Scheme and Hull with Scheme and Hull, tying the diverse disciplines of science together. His Automatic summarization study incorporates themes from Web page, Focus and Search engine. His work on Natural language processing expands to the thematically related Autoencoder.

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

Style Transfer in Text: Exploration and Evaluation

Zhenxin Fu;Xiaoye Tan;Nanyun Peng;Dongyan Zhao.
national conference on artificial intelligence (2018)

334 Citations

gStore: answering SPARQL queries via subgraph matching

Lei Zou;Jinghui Mo;Lei Chen;M. Tamer Özsu.
very large data bases (2011)

276 Citations

Semantic Relation Classification via Convolutional Neural Networks with Simple Negative Sampling

Kun Xu;Yansong Feng;Songfang Huang;Dongyan Zhao.
empirical methods in natural language processing (2015)

207 Citations

Question Answering on Freebase via Relation Extraction and Textual Evidence

Kun Xu;Siva Reddy;Yansong Feng;Songfang Huang.
meeting of the association for computational linguistics (2016)

207 Citations

Natural language question answering over RDF: a graph data driven approach

Lei Zou;Ruizhe Huang;Haixun Wang;Jeffrey Xu Yu.
international conference on management of data (2014)

200 Citations

Multi-grained Attention Network for Aspect-Level Sentiment Classification

Feifan Fan;Yansong Feng;Dongyan Zhao.
empirical methods in natural language processing (2018)

159 Citations

gStore: a graph-based SPARQL query engine

Lei Zou;M. Tamer Özsu;Lei Chen;Xuchuan Shen.
very large data bases (2014)

153 Citations

Answering Natural Language Questions by Subgraph Matching over Knowledge Graphs

Sen Hu;Lei Zou;Jeffrey Xu Yu;Haixun Wang.
IEEE Transactions on Knowledge and Data Engineering (2018)

145 Citations

RUBER: An Unsupervised Method for Automatic Evaluation of Open-Domain Dialog Systems

Chongyang Tao;Lili Mou;Dongyan Zhao;Rui Yan.
national conference on artificial intelligence (2018)

132 Citations

Learning to Predict Charges for Criminal Cases with Legal Basis

Bingfeng Luo;Yansong Feng;Jianbo Xu;Xiang Zhang.
empirical methods in natural language processing (2017)

117 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.

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