H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 60 Citations 13,456 385 World Ranking 1573 National Ranking 150

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • The Internet

His primary areas of study are Artificial intelligence, Machine learning, Data mining, Natural language processing and Theoretical computer science. His biological study spans a wide range of topics, including Matching, Relevance and Pattern recognition. He has included themes like Database transaction and Representation in his Machine learning study.

The various areas that Xueqi Cheng examines in his Data mining study include Embedding, Feature selection, Statistical model and Robustness. His Natural language processing study which covers Context that intersects with Matching, Viterbi algorithm and Sequence. His research integrates issues of CURE data clustering algorithm, Locality, Random graph and Clique percolation method, Community structure in his study of Theoretical computer science.

His most cited work include:

  • A biterm topic model for short texts (557 citations)
  • Detect overlapping and hierarchical community structure in networks (535 citations)
  • Significance and Challenges of Big Data Research (377 citations)

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

Xueqi Cheng mainly focuses on Artificial intelligence, Machine learning, Information retrieval, Data mining and Natural language processing. His study on Artificial intelligence is mostly dedicated to connecting different topics, such as Pattern recognition. His study in the field of Leverage also crosses realms of Rank and Process.

His Information retrieval study integrates concerns from other disciplines, such as Web page and The Internet. Xueqi Cheng regularly links together related areas like Word in his Natural language processing studies. His studies link Ranking with Ranking.

He most often published in these fields:

  • Artificial intelligence (42.59%)
  • Machine learning (20.56%)
  • Information retrieval (20.19%)

What were the highlights of his more recent work (between 2017-2021)?

  • Artificial intelligence (42.59%)
  • Natural language processing (13.33%)
  • Machine learning (20.56%)

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

Xueqi Cheng mainly investigates Artificial intelligence, Natural language processing, Machine learning, Theoretical computer science and Information retrieval. His work on Sentence as part of his general Natural language processing study is frequently connected to Structure, thereby bridging the divide between different branches of science. Many of his research projects under Machine learning are closely connected to Popularity, Function and Mechanism with Popularity, Function and Mechanism, tying the diverse disciplines of science together.

The concepts of his Theoretical computer science study are interwoven with issues in Embedding, Graph and Relation. Xueqi Cheng combines subjects such as Ranking and Natural language with his study of Information retrieval. In his research on the topic of Question answering, Word is strongly related with Matching.

Between 2017 and 2021, his most popular works were:

  • Learning to Control the Specificity in Neural Response Generation (60 citations)
  • A Deep Look into neural ranking models for information retrieval (51 citations)
  • Graph Wavelet Neural Network. (49 citations)

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

  • Artificial intelligence
  • Machine learning
  • The Internet

Xueqi Cheng spends much of his time researching Artificial intelligence, Information retrieval, Embedding, Natural language processing and Machine learning. His Artificial intelligence study frequently links to adjacent areas such as Graph. His work on Relevance as part of general Information retrieval study is frequently linked to Distribution, therefore connecting diverse disciplines of science.

His Embedding research includes themes of Data modeling, Theoretical computer science, Reliability, Space and Translation. His research in the fields of Sentence overlaps with other disciplines such as Structure. He interconnects Node, Representation, Conversation and Metric in the investigation of issues within Machine learning.

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

A biterm topic model for short texts

Xiaohui Yan;Jiafeng Guo;Yanyan Lan;Xueqi Cheng.
the web conference (2013)

824 Citations

Detect overlapping and hierarchical community structure in networks

Huawei Shen;Xueqi Cheng;Kai Cai;Mao-Bin Hu.
Physica A-statistical Mechanics and Its Applications (2009)

762 Citations

Significance and Challenges of Big Data Research

Xiaolong Jin;Benjamin W. Wah;Xueqi Cheng;Yuanzhuo Wang.
Big Data Research (2015)

738 Citations

A survey on sentiment detection of reviews

Huifeng Tang;Songbo Tan;Xueqi Cheng.
Expert Systems With Applications (2009)

529 Citations

Named entity recognition in query

Jiafeng Guo;Gu Xu;Xueqi Cheng;Hang Li.
international acm sigir conference on research and development in information retrieval (2009)

390 Citations

BTM: Topic Modeling over Short Texts

Xueqi Cheng;Xiaohui Yan;Yanyan Lan;Jiafeng Guo.
IEEE Transactions on Knowledge and Data Engineering (2014)

387 Citations

Learning Hierarchical Representation Model for NextBasket Recommendation

Pengfei Wang;Jiafeng Guo;Yanyan Lan;Jun Xu.
international acm sigir conference on research and development in information retrieval (2015)

256 Citations

Adapting Naive Bayes to Domain Adaptation for Sentiment Analysis

Songbo Tan;Xueqi Cheng;Yuefen Wang;Hongbo Xu.
european conference on information retrieval (2009)

241 Citations

Chinese Lexical Analysis Using Hierarchical Hidden Markov Model

Hua-Ping Zhang;Qun Liu;Xue-Qi Cheng;Hao Zhang.
Proceedings of the Second SIGHAN Workshop on Chinese Language Processing (2003)

192 Citations

Survey and taxonomy of feature selection algorithms in intrusion detection system

You Chen;Yang Li;Xue-Qi Cheng;Li Guo.
information security and cryptology (2006)

191 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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