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 36 Citations 5,623 203 World Ranking 5668 National Ranking 77

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Operating system
  • Statistics

His scientific interests lie mostly in Data mining, k-nearest neighbors algorithm, Nearest neighbor search, Artificial intelligence and Information system. His research in Data mining intersects with topics in Data stream and Pruning. His k-nearest neighbors algorithm research integrates issues from Algorithm and Range query.

In the subject of general Algorithm, his work in Tree is often linked to Fixed-radius near neighbors, thereby combining diverse domains of study. His Nearest neighbor search research is multidisciplinary, relying on both Hash join, Sort-merge join, Overhead and Aggregate. His Artificial intelligence research includes elements of Natural language processing, Machine learning and Pattern recognition.

His most cited work include:

  • iDistance: An adaptive B+-tree based indexing method for nearest neighbor search (500 citations)
  • Destination prediction by sub-trajectory synthesis and privacy protection against such prediction (188 citations)
  • Nucleation−Dissolution−Recrystallization: A New Growth Mechanism for t-Selenium Nanotubes (166 citations)

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

His primary scientific interests are in Artificial intelligence, Data mining, Information system, Natural language processing and Algorithm. The study incorporates disciplines such as Machine learning and Pattern recognition in addition to Artificial intelligence. He has researched Data mining in several fields, including Object, Process, Search engine indexing and k-nearest neighbors algorithm.

His work on Nearest neighbor search expands to the thematically related k-nearest neighbors algorithm. Rui Zhang performs multidisciplinary studies into Information system and World Wide Web in his work. His research on Algorithm focuses in particular on Computation.

He most often published in these fields:

  • Artificial intelligence (29.01%)
  • Data mining (21.60%)
  • Information system (12.35%)

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

  • Artificial intelligence (29.01%)
  • Natural language processing (9.26%)
  • Deep learning (4.63%)

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

Rui Zhang focuses on Artificial intelligence, Natural language processing, Deep learning, Algorithm and Theoretical computer science. His work on F1 score as part of general Artificial intelligence research is often related to Generalization, thus linking different fields of science. His Natural language processing research incorporates elements of Named-entity recognition, Utterance and Substring.

His study in Algorithm is interdisciplinary in nature, drawing from both Convolution and Curse of dimensionality. His biological study spans a wide range of topics, including Binary logarithm, Heuristics, Robustness and Graph. His work carried out in the field of Noise brings together such families of science as Recommender system and Data mining.

Between 2019 and 2021, his most popular works were:

  • Mining Twitter to assess the determinants of health behavior toward human papillomavirus vaccination in the United States (15 citations)
  • MALA: Cross-Domain Dialogue Generation with Action Learning (11 citations)
  • iDISK: the integrated DIetary Supplements Knowledge base (8 citations)

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

  • Artificial intelligence
  • Operating system
  • Statistics

Rui Zhang mostly deals with Artificial intelligence, Natural language processing, Machine learning, Deep learning and F1 score. His study looks at the intersection of Artificial intelligence and topics like Computer vision with Frame and Process. His work in the fields of Lexical similarity, Semantic similarity and Realization overlaps with other areas such as Transition.

Rui Zhang interconnects Encoder, BLEU, Sentence, Sentence generation and Decoding methods in the investigation of issues within Machine learning. His Deep learning research is multidisciplinary, incorporating perspectives in Information extraction, Clinical trial and Disease. His work in F1 score covers topics such as Memory module which are related to areas like 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.

Best Publications

iDistance: An adaptive B + -tree based indexing method for nearest neighbor search

H. V. Jagadish;Beng Chin Ooi;Kian-Lee Tan;Cui Yu.
ACM Transactions on Database Systems (2005)

687 Citations

Destination prediction by sub-trajectory synthesis and privacy protection against such prediction

A. Y. Xue;Rui Zhang;Yu Zheng;Xing Xie.
international conference on data engineering (2013)

260 Citations

Identifying at-risk students in massive open online courses

Jiazhen He;James Bailey;Benjamin I. P. Rubinstein;Rui Zhang.
national conference on artificial intelligence (2015)

157 Citations

The V*-Diagram: a query-dependent approach to moving KNN queries

Sarana Nutanong;Rui Zhang;Egemen Tanin;Lars Kulik.
very large data bases (2008)

151 Citations

Effective Density Queries on ContinuouslyMoving Objects

C.S. Jensen;D. Lin;Beng Chin Ooi;Rui Zhang.
international conference on data engineering (2006)

134 Citations

Inertial Sensor Based Indoor Localization and Monitoring System for Emergency Responders

Rui Zhang;F. Hoflinger;L. Reindl.
IEEE Sensors Journal (2013)

131 Citations

Multiple aggregations over data streams

Rui Zhang;Nick Koudas;Beng Chin Ooi;Divesh Srivastava.
international conference on management of data (2005)

129 Citations

Entity Alignment between Knowledge Graphs Using Attribute Embeddings

Bayu Distiawan Trisedya;Jianzhong Qi;Rui Zhang.
national conference on artificial intelligence (2019)

126 Citations

Approximate NN queries on streams with guaranteed error/performance bounds

Nick Koudas;Beng Chin Ooi;Kian-Lee Tan;Rui Zhang.
very large data bases (2004)

116 Citations

A Wireless Micro Inertial Measurement Unit (IMU)

Fabian Hoflinger;Jorg Muller;Rui Zhang;Leonhard M. Reindl.
IEEE Transactions on Instrumentation and Measurement (2013)

112 Citations

Best Scientists Citing Rui Zhang

Xiaofang Zhou

Xiaofang Zhou

Hong Kong University of Science and Technology

Publications: 45

Xuemin Lin

Xuemin Lin

UNSW Sydney

Publications: 28

Yufen Zhao

Yufen Zhao

Ningbo University

Publications: 27

Lei Chen

Lei Chen

Hong Kong University of Science and Technology

Publications: 27

Leonhard Reindl

Leonhard Reindl

University of Freiburg

Publications: 25

Man Lung Yiu

Man Lung Yiu

Hong Kong Polytechnic University

Publications: 24

Christian S. Jensen

Christian S. Jensen

Aalborg University

Publications: 23

Heng Tao Shen

Heng Tao Shen

University of Electronic Science and Technology of China

Publications: 22

Qing Li

Qing Li

Hong Kong Polytechnic University

Publications: 20

Baihua Zheng

Baihua Zheng

Singapore Management University

Publications: 20

Zi Huang

Zi Huang

University of Queensland

Publications: 19

Kai Zheng

Kai Zheng

University of Electronic Science and Technology of China

Publications: 17

Lars Kulik

Lars Kulik

University of Melbourne

Publications: 16

Ying Zhang

Ying Zhang

University of Technology Sydney

Publications: 16

Ge Yu

Ge Yu

Northeastern University

Publications: 15

Mohamed F. Mokbel

Mohamed F. Mokbel

University of Minnesota

Publications: 15

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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