D-Index & Metrics Best Publications

Philip S. Yu

University of Illinois at Chicago
United States

Computer Science

USA

2023

D-Index & Metrics 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.

Discipline name Citations Publications World Ranking National Ranking

Computer Science D-index 166 Citations 131,899 1,814 World Ranking 6 National Ranking 4

Best Scientists D-index 166 Citations 132,164 1,837 World Ranking 654 National Ranking 422

Research.com Recognitions

Awards & Achievements

2023 - Research.com Best Scientist Award

2023 - Research.com Computer Science in United States Leader Award

2022 - Research.com Best Scientist Award

2022 - Research.com Computer Science in United States Leader Award

1997 - ACM Fellow For contributions to the theory and practice of analytical performance modeling of database sytems.

1993 - IEEE Fellow For contributions to the theory and practice of analytical performance modeling of database systems.

Overview

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

His studies link Argument (complex analysis) with Biochemistry. His study in Biochemistry extends to Argument (complex analysis) with its themes. His Artificial intelligence study often links to related topics such as Federated learning. Machine learning and Reinforcement learning are two areas of study in which Philip S. Yu engages in interdisciplinary work. In his study, he carries out multidisciplinary Reinforcement learning and Machine learning research. He carries out multidisciplinary research, doing studies in Data science and Artificial intelligence. He undertakes interdisciplinary study in the fields of Gene and Robustness (evolution) through his works. He integrates Robustness (evolution) and Gene in his studies. Philip S. Yu integrates Computer security with Exploit in his research.

Philip S. Yu most often published in these fields:

Biochemistry (100.00%)
Artificial intelligence (100.00%)
Machine learning (66.67%)

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

Top 10 algorithms in data mining

Xindong Wu;Vipin Kumar;J. Ross Quinlan;Joydeep Ghosh.
Knowledge and Information Systems (2007)

6343 Citations

Data mining: an overview from a database perspective

Ming-Syan Chen;Jiawei Han;P.S. Yu.
IEEE Transactions on Knowledge and Data Engineering (1996)

3778 Citations

An effective hash-based algorithm for mining association rules

Jong Soo Park;Ming-Syan Chen;Philip S. Yu.
international conference on management of data (1995)

2559 Citations

A framework for clustering evolving data streams

Charu C. Aggarwal;Jiawei Han;Jianyong Wang;Philip S. Yu.
very large data bases (2003)

2537 Citations

A Comprehensive Survey on Graph Neural Networks

Zonghan Wu;Shirui Pan;Fengwen Chen;Guodong Long.
IEEE Transactions on Neural Networks (2021)

2451 Citations

Privacy-preserving data publishing: A survey of recent developments

Benjamin C. M. Fung;Ke Wang;Rui Chen;Philip S. Yu.
ACM Computing Surveys (2010)

2096 Citations

Mining concept-drifting data streams using ensemble classifiers

Haixun Wang;Wei Fan;Philip S. Yu;Jiawei Han.
knowledge discovery and data mining (2003)

1829 Citations

A holistic lexicon-based approach to opinion mining

Xiaowen Ding;Bing Liu;Philip S. Yu.
web search and data mining (2008)

1672 Citations

Outlier detection for high dimensional data

Charu C. Aggarwal;Philip S. Yu.
international conference on management of data (2001)

1621 Citations

PathSim: meta path-based top-K similarity search in heterogeneous information networks

Yizhou Sun;Jiawei Han;Xifeng Yan;Philip S. Yu.
very large data bases (2011)

1598 Citations

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Philip S. Yu

D-Index & Metrics 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.

Research.com Recognitions

Awards & Achievements

Overview

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

Philip S. Yu most often published in these fields:

Best Publications

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