D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 64 Citations 13,328 338 World Ranking 1236 National Ranking 118

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Operating system
  • Computer network

His primary scientific interests are in Artificial intelligence, Computer network, World Wide Web, Wireless sensor network and Computer security. His biological study spans a wide range of topics, including Machine learning, Computer vision and Pattern recognition. While the research belongs to areas of Computer network, Chun Chen spends his time largely on the problem of Cryptography, intersecting his research to questions surrounding Node.

His study looks at the relationship between World Wide Web and topics such as Relevance, which overlap with Feature and Scheme. His work deals with themes such as Lossy compression and Base station, which intersect with Wireless sensor network. Many of his research projects under Computer security are closely connected to Security service and Smart grid with Security service and Smart grid, tying the diverse disciplines of science together.

His most cited work include:

  • Probabilistic Exposure Fusion (115 citations)
  • Efficient manifold ranking for image retrieval (106 citations)
  • Document summarization based on data reconstruction (102 citations)

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

Artificial intelligence, Computer vision, Pattern recognition, Wireless sensor network and Data mining are his primary areas of study. His Artificial intelligence research incorporates elements of Algorithm and Machine learning. His Pattern recognition research is multidisciplinary, incorporating elements of Speech recognition, Feature and Image retrieval.

His Wireless sensor network study introduces a deeper knowledge of Computer network. The study incorporates disciplines such as Wireless, Wireless network, Public-key cryptography and Computer security in addition to Computer network. His Data mining research includes elements of Scalability, Cluster analysis and k-nearest neighbors algorithm.

He most often published in these fields:

  • Artificial intelligence (44.50%)
  • Computer vision (21.74%)
  • Pattern recognition (16.62%)

What were the highlights of his more recent work (between 2015-2021)?

  • Artificial intelligence (44.50%)
  • Wireless sensor network (10.49%)
  • Machine learning (9.72%)

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

His primary areas of study are Artificial intelligence, Wireless sensor network, Machine learning, Pattern recognition and Social network. His study focuses on the intersection of Artificial intelligence and fields such as Computer vision with connections in the field of Process. Chun Chen has researched Wireless sensor network in several fields, including Wireless, Software deployment, Key distribution in wireless sensor networks, Real-time computing and Testbed.

In general Machine learning, his work in Cluster analysis and Regularization is often linked to Interaction information and Uniform distribution linking many areas of study. His study in Pattern recognition is interdisciplinary in nature, drawing from both Geometric transformation and Image retrieval. His research integrates issues of Maximization, Recommender system, Interpersonal ties, Focus and Data science in his study of Social network.

Between 2015 and 2021, his most popular works were:

  • Mosaic: A low-cost mobile sensing system for urban air quality monitoring (88 citations)
  • Social Recommendation with Strong and Weak Ties (85 citations)
  • Learning Personalized Preference of Strong and Weak Ties for Social Recommendation (51 citations)

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

  • Artificial intelligence
  • Operating system
  • Computer network

Chun Chen focuses on Artificial intelligence, Recommender system, Social influence, Preference and Machine learning. Chun Chen has included themes like Sparse matrix and Pattern recognition in his Artificial intelligence study. His studies deal with areas such as Background subtraction, Geometric transformation and Robustness as well as Pattern recognition.

His Recommender system research focuses on Social network and how it relates to Interpersonal ties, Human–computer interaction and Focus. A large part of his Machine learning studies is devoted to Cluster analysis. The concepts of his Information retrieval study are interwoven with issues in Probabilistic logic, Group and Missing data.

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.

Best Publications

Probabilistic Exposure Fusion

Mingli Song;Dacheng Tao;Chun Chen;Jiajun Bu.
IEEE Transactions on Image Processing (2012)

152 Citations

Efficient manifold ranking for image retrieval

Bin Xu;Jiajun Bu;Chun Chen;Deng Cai.
international acm sigir conference on research and development in information retrieval (2011)

149 Citations

Lightweight and provably secure user authentication with anonymity for the global mobility network

Chun Chen;Daojing He;Sammy Chan;Jiajun Bu.
International Journal of Communication Systems (2011)

134 Citations

Mapping users across networks by manifold alignment on hypergraph

Shulong Tan;Ziyu Guan;Deng Cai;Xuzhen Qin.
national conference on artificial intelligence (2014)

131 Citations

Privacy-Preserving Universal Authentication Protocol for Wireless Communications

Daojing He;Jiajun Bu;Sammy Chan;Chun Chen.
IEEE Transactions on Wireless Communications (2011)

130 Citations

ES 2 : A cloud data storage system for supporting both OLTP and OLAP

Yu Cao;Chun Chen;Fei Guo;Dawei Jiang.
international conference on data engineering (2011)

125 Citations

Using rich social media information for music recommendation via hypergraph model

Shulong Tan;Jiajun Bu;Chun Chen;Bin Xu.
acm multimedia (2011)

125 Citations

Document recommendation in social tagging services

Ziyu Guan;Can Wang;Jiajun Bu;Chun Chen.
the web conference (2010)

125 Citations

Active Learning Based on Locally Linear Reconstruction

Lijun Zhang;Chun Chen;Jiajun Bu;Deng Cai.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2011)

123 Citations

Document summarization based on data reconstruction

Zhanying He;Chun Chen;Jiajun Bu;Can Wang.
national conference on artificial intelligence (2012)

119 Citations

Best Scientists Citing Chun Chen

Dacheng Tao

Dacheng Tao

University of Sydney

Publications: 52

Jiajun Bu

Jiajun Bu

Zhejiang University

Publications: 42

Wei Dong

Wei Dong

Zhejiang University

Publications: 41

Xuelong Li

Xuelong Li

Northwestern Polytechnical University

Publications: 36

Laurence T. Yang

Laurence T. Yang

St. Francis Xavier University

Publications: 21

Can Wang

Can Wang

Tianjin University

Publications: 19

Xiaofei He

Xiaofei He

Zhejiang University

Publications: 18

Yi Yang

Yi Yang

Zhejiang University

Publications: 18

Deng Cai

Deng Cai

Zhejiang University

Publications: 18

Jun Yu

Jun Yu

Hangzhou Dianzi University

Publications: 17

Qing Li

Qing Li

Hong Kong Polytechnic University

Publications: 15

Ling Shao

Ling Shao

Inception Institute of Artificial Intelligence

Publications: 15

Ashok Kumar Das

Ashok Kumar Das

International Institute of Information Technology, Hyderabad

Publications: 14

Liqiang Nie

Liqiang Nie

Shandong University

Publications: 14

Renato Pajarola

Renato Pajarola

University of Zurich

Publications: 14

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

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