H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 57 Citations 10,066 411 World Ranking 1891 National Ranking 49

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • The Internet
  • Machine learning

Artificial intelligence, Data mining, World Wide Web, Machine learning and Computer security are his primary areas of study. His Pattern recognition research extends to Artificial intelligence, which is thematically connected. His Data mining research integrates issues from Consistency and Scalability.

As part of the same scientific family, Yanchun Zhang usually focuses on Machine learning, concentrating on Survivability and intersecting with AdaBoost, Predictive modelling, Outlier and Random forest. His work on Access control and Data security is typically connected to Reuse as part of general Computer security study, connecting several disciplines of science. His research integrates issues of Web intelligence and Information retrieval in his study of Web mapping.

His most cited work include:

  • Achieving convergence, causality preservation, and intention preservation in real-time cooperative editing systems (554 citations)
  • Algorithms and Techniques (218 citations)
  • Frontiers of WWW Research and Development - APWeb 2006 (127 citations)

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

His main research concerns Artificial intelligence, Data mining, Pattern recognition, World Wide Web and Information retrieval. His research on Artificial intelligence frequently connects to adjacent areas such as Machine learning. His research on Data mining frequently links to adjacent areas such as Cluster analysis.

Web modeling, Web intelligence, Web development, The Internet and Web navigation are subfields of World Wide Web in which his conducts study. His study in Web modeling is interdisciplinary in nature, drawing from both Web standards, Web design and Data Web. He has researched Data Web in several fields, including Social Semantic Web, Web mining and Semantic Web Stack.

He most often published in these fields:

  • Artificial intelligence (39.53%)
  • Data mining (18.92%)
  • Pattern recognition (19.26%)

What were the highlights of his more recent work (between 2018-2021)?

  • Artificial intelligence (39.53%)
  • Pattern recognition (19.26%)
  • Deep learning (7.26%)

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

His primary areas of investigation include Artificial intelligence, Pattern recognition, Deep learning, Machine learning and Feature extraction. His work deals with themes such as Identification and Natural language processing, which intersect with Artificial intelligence. The study incorporates disciplines such as Heartbeat, Frequency domain, Feature and Complex network in addition to Pattern recognition.

His work carried out in the field of Deep learning brings together such families of science as Social media and Fundus. His Social media research includes elements of Information retrieval and Data science. His research combines Graph and Machine learning.

Between 2018 and 2021, his most popular works were:

  • Exploring Tourist Dining Preferences Based on Restaurant Reviews (37 citations)
  • Epilepsy seizure detection using complete ensemble empirical mode decomposition with adaptive noise (25 citations)
  • Dynamic Connection-Based Social Group Recommendation (20 citations)

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

  • Artificial intelligence
  • The Internet
  • Machine learning

His primary scientific interests are in Artificial intelligence, Pattern recognition, Feature extraction, Support vector machine and Natural language processing. His Artificial intelligence research incorporates themes from Machine learning and Identification. His study in the field of Convolutional neural network and Classifier is also linked to topics like Signal processing and Hilbert–Huang transform.

His studies examine the connections between Classifier and genetics, as well as such issues in Arrhythmia detection, with regards to Data mining. His Feature extraction study deals with Feature intersecting with Scheme, Brain–computer interface and Linear discriminant analysis. The Deep learning study combines topics in areas such as Social media and Information retrieval.

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

Achieving convergence, causality preservation, and intention preservation in real-time cooperative editing systems

Chengzheng Sun;Xiaohua Jia;Yanchun Zhang;Yun Yang.
ACM Transactions on Computer-Human Interaction (1998)

882 Citations

Algorithms and Techniques

Guandong Xu;Yanchun Zhang;Lin Li.
(2011)

337 Citations

Frontiers of WWW Research and Development - APWeb 2006

Xiaofang Zhou;Jianzhong Li;Heng Tao Shen;Masaru Kitsuregawa.
(2006)

195 Citations

Web service composition with case-based reasoning

Benchaphon Limthanmaphon;Yanchun Zhang.
australasian database conference (2003)

171 Citations

Web Mining and Social Networking: Techniques and Applications

Guandong Xu;Yanchun Zhang;Lin Li.
(2010)

171 Citations

Effectively finding relevant Web pages from linkage information

Jingyu Hou;Yanchun Zhang.
IEEE Transactions on Knowledge and Data Engineering (2003)

164 Citations

Advanced Web Technologies and Applications

Jeffrey Xu Yu;Xuemin Lin;Hongjun Lu;Yanchun Zhang.
(2004)

156 Citations

An analytical evaluation of NIAM'S grammar for conceptual schema diagrams

Ron Weber;Yanchun Zhang.
Information Systems Journal (1996)

150 Citations

A flexible payment scheme and its role-based access control

Hua Wang;Jinli Cao;Yanchun Zhang.
IEEE Transactions on Knowledge and Data Engineering (2005)

150 Citations

Epileptic seizure detection in EEG signals using tunable-Q factor wavelet transform and bootstrap aggregating

Ahnaf Rashik Hassan;Siuly Siuly;Yanchun Zhang.
Computer Methods and Programs in Biomedicine (2016)

142 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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Contact us

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