H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 46 Citations 8,768 373 World Ranking 3475 National Ranking 319

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Artificial intelligence
  • Algorithm

Jianzhong Li focuses on Data mining, Wireless sensor network, Subgraph isomorphism problem, Graph and Algorithm. His Data mining research includes elements of Scalability, Tuple, Set, Semantics and Data integrity. His Wireless sensor network study combines topics in areas such as Distributed algorithm, Distributed computing, Energy consumption, Algorithm design and Key distribution in wireless sensor networks.

His Subgraph isomorphism problem research is multidisciplinary, incorporating perspectives in Time complexity, Induced subgraph isomorphism problem, Graph and Factor-critical graph. His studies in Graph integrate themes in fields like Theoretical computer science, Mathematical optimization and Bounded function. His Algorithm study incorporates themes from Linear regression, Missing data, Artificial intelligence and Pattern recognition.

His most cited work include:

  • Efficient subgraph matching on billion node graphs (256 citations)
  • Graph pattern matching: from intractable to polynomial time (246 citations)
  • Distributed Data Aggregation Scheduling in Wireless Sensor Networks (234 citations)

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

Jianzhong Li mainly focuses on Data mining, Algorithm, Wireless sensor network, Theoretical computer science and Distributed computing. His Data mining research focuses on Data quality and how it connects with Big data. His Algorithm research incorporates elements of Sampling, Data warehouse and Join.

His research integrates issues of Energy consumption, Key distribution in wireless sensor networks, Real-time computing and Approximation algorithm in his study of Wireless sensor network. His study looks at the relationship between Theoretical computer science and fields such as Graph, as well as how they intersect with chemical problems. His research investigates the connection with Distributed computing and areas like Scheduling which intersect with concerns in Schedule.

He most often published in these fields:

  • Data mining (28.65%)
  • Algorithm (22.31%)
  • Wireless sensor network (17.50%)

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

  • Algorithm (22.31%)
  • Data mining (28.65%)
  • Time complexity (6.54%)

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

His scientific interests lie mostly in Algorithm, Data mining, Time complexity, Machine learning and Artificial intelligence. His Algorithm research incorporates themes from Sampling, Distributed database and Big data. His Data mining study integrates concerns from other disciplines, such as Tuple, Missing data, Pruning, Database transaction and Data quality.

His work deals with themes such as Relational database and Set, which intersect with Tuple. The Time complexity study which covers k-nearest neighbors algorithm that intersects with Upper and lower bounds. His study in the field of Hyperparameter and Hyperparameter optimization is also linked to topics like Cash.

Between 2018 and 2021, his most popular works were:

  • Dominating Sets Construction in RF-based Battery-free Sensor Networks with Full Coverage Guarantee (12 citations)
  • Distributed Energy-Adaptive Aggregation Scheduling with Coverage Guarantee For Battery-Free Wireless Sensor Networks (12 citations)
  • The computation of optimal subset repairs (9 citations)

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

  • Operating system
  • Artificial intelligence
  • Algorithm

His primary areas of study are Data mining, Artificial intelligence, Machine learning, Algorithm and Wireless sensor network. His research in Data mining intersects with topics in Data quality, Information retrieval and Pruning. The various areas that Jianzhong Li examines in his Artificial intelligence study include Sketch, Information engineering and Measure.

His Machine learning research includes themes of Crowdsourcing, Data collection and Bayesian inference. His study in Algorithm is interdisciplinary in nature, drawing from both Control, Factor, Scale and Knowledge graph. His Wireless sensor network research is multidisciplinary, incorporating elements of Network architecture, Distributed generation, Computer engineering, Snapshot and Distributed algorithm.

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

Discovering Conditional Functional Dependencies

Wenfei Fan;F Geerts;Jianzhong Li;Ming Xiong.
IEEE Transactions on Knowledge and Data Engineering (2011)

342 Citations

Distributed Data Aggregation Scheduling in Wireless Sensor Networks

B. Yu;J. Li;Y. Li.
international conference on computer communications (2009)

337 Citations

Graph pattern matching: from intractable to polynomial time

Wenfei Fan;Jianzhong Li;Shuai Ma;Nan Tang.
very large data bases (2010)

335 Citations

Efficient subgraph matching on billion node graphs

Zhao Sun;Hongzhi Wang;Haixun Wang;Bin Shao.
very large data bases (2012)

256 Citations

Towards certain fixes with editing rules and master data

Wenfei Fan;Jianzhong Li;Shuai Ma;Nan Tang.
very large data bases (2010)

237 Citations

Indexing multi-dimensional data in a cloud system

Jinbao Wang;Sai Wu;Hong Gao;Jianzhong Li.
international conference on management of data (2010)

237 Citations

Reasoning about record matching rules

Wenfei Fan;Xibei Jia;Jianzhong Li;Shuai Ma.
very large data bases (2009)

216 Citations

A stable gene selection in microarray data analysis.

Kun Juh Yang;Zhipeng Cai;Jianzhong Li;Guohui Lin.
BMC Bioinformatics (2006)

205 Citations

Query preserving graph compression

Wenfei Fan;Jianzhong Li;Xin Wang;Yinghui Wu.
international conference on management of data (2012)

203 Citations

Mining Frequent Subgraph Patterns from Uncertain Graph Data

Zhaonian Zou;Jianzhong Li;Hong Gao;Shuo Zhang.
IEEE Transactions on Knowledge and Data Engineering (2010)

199 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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Top Scientists Citing Jianzhong Li

Zhipeng Cai

Zhipeng Cai

Georgia State University

Publications: 63

Wenfei Fan

Wenfei Fan

University of Edinburgh

Publications: 61

Lei Chen

Lei Chen

Hong Kong University of Science and Technology

Publications: 50

Jeffrey Xu Yu

Jeffrey Xu Yu

Chinese University of Hong Kong

Publications: 50

Yingshu Li

Yingshu Li

Georgia State University

Publications: 47

Jiguo Yu

Jiguo Yu

Qilu University of Technology

Publications: 34

Xuemin Lin

Xuemin Lin

UNSW Sydney

Publications: 32

Lu Qin

Lu Qin

University of Technology Sydney

Publications: 31

Ihab F. Ilyas

Ihab F. Ilyas

University of Waterloo

Publications: 25

Floris Geerts

Floris Geerts

University of Antwerp

Publications: 24

Shuai Ma

Shuai Ma

China University of Mining and Technology

Publications: 22

Mourad Ouzzani

Mourad Ouzzani

Qatar Computing Research Institute

Publications: 21

Xiaofang Zhou

Xiaofang Zhou

Hong Kong University of Science and Technology

Publications: 20

Shaojie Tang

Shaojie Tang

The University of Texas at Dallas

Publications: 18

Francesco Bonchi

Francesco Bonchi

Institute for Scientific Interchange

Publications: 17

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