H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 62 Citations 12,389 387 World Ranking 1328 National Ranking 32

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Statistics
  • Machine learning

His main research concerns Fuzzy logic, Recommender system, Fuzzy set, Collaborative filtering and Data mining. His Fuzzy logic study improves the overall literature in Artificial intelligence. Jie Lu combines subjects such as Data modeling and Event with his study of Artificial intelligence.

His studies deal with areas such as Tree structure, Service and Product as well as Recommender system. His Fuzzy set research incorporates elements of Algorithm and Decision support system. Jie Lu has included themes like Rank, Customer preference, Component and Fuzzy clustering in his Data mining study.

His most cited work include:

  • Recommender system application developments (616 citations)
  • Tunable lifetime multiplexing using luminescent nanocrystals (406 citations)
  • Transfer learning using computational intelligence (371 citations)

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

Jie Lu spends much of his time researching Artificial intelligence, Fuzzy logic, Data mining, Machine learning and Decision support system. His research investigates the connection with Artificial intelligence and areas like Domain which intersect with concerns in Knowledge transfer. His Fuzzy logic study combines topics from a wide range of disciplines, such as Algorithm and Mathematical optimization.

The Data mining study combines topics in areas such as Recommender system, Information retrieval and Collaborative filtering. Jie Lu interconnects Data modeling and Fuzzy control system in the investigation of issues within Machine learning. His study in Decision support system is interdisciplinary in nature, drawing from both Intelligent decision support system, Operations research, Knowledge management and Decision analysis.

He most often published in these fields:

  • Artificial intelligence (24.63%)
  • Fuzzy logic (21.04%)
  • Data mining (17.46%)

What were the highlights of his more recent work (between 2017-2021)?

  • Artificial intelligence (24.63%)
  • Machine learning (15.37%)
  • Fuzzy logic (21.04%)

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

Artificial intelligence, Machine learning, Fuzzy logic, Domain and Recommender system are his primary areas of study. His work deals with themes such as Domain adaptation and Pattern recognition, which intersect with Artificial intelligence. His Machine learning research is multidisciplinary, incorporating perspectives in Function, Structure and Process.

His Fuzzy logic research integrates issues from Data modeling, Telematics and Data stream mining, Concept drift. While the research belongs to areas of Domain, he spends his time largely on the problem of Knowledge transfer, intersecting his research to questions surrounding Kernel. Recommender system is a subfield of Information retrieval that Jie Lu explores.

Between 2017 and 2021, his most popular works were:

  • Learning under Concept Drift: A Review (128 citations)
  • A Cross-Domain Recommender System With Kernel-Induced Knowledge Transfer for Overlapping Entities (45 citations)
  • Accumulating regional density dissimilarity for concept drift detection in data streams (39 citations)

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

  • Artificial intelligence
  • Statistics
  • Machine learning

His scientific interests lie mostly in Artificial intelligence, Recommender system, Domain, Algorithm and Data mining. His work carried out in the field of Artificial intelligence brings together such families of science as Machine learning and Pattern recognition. His Machine learning study incorporates themes from Space, Information overload, Process and Service.

Recommender system is a primary field of his research addressed under Information retrieval. The various areas that Jie Lu examines in his Data mining study include Multi-task learning, Task and Urban computing. His studies in Fuzzy logic integrate themes in fields like Data modeling and Cluster analysis.

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

Recommender system application developments

Jie Lu;Dianshuang Wu;Mingsong Mao;Wei Wang.
decision support systems (2015)

954 Citations

Tunable lifetime multiplexing using luminescent nanocrystals

Yiqing Lu;Jiangbo Zhao;Run Zhang;Yujia Liu;Yujia Liu;Yujia Liu.
Nature Photonics (2014)

580 Citations

Transfer learning using computational intelligence

Jie Lu;Vahid Behbood;Peng Hao;Hua Zuo.
Knowledge Based Systems (2015)

561 Citations

Multi-objective Group Decision Making: Methods, Software and Applications With Fuzzy Set Techniques

Jie Lu;Guangquan Zhang;Da Ruan.
(2007)

361 Citations

A Kernel Fuzzy c-Means Clustering-Based Fuzzy Support Vector Machine Algorithm for Classification Problems With Outliers or Noises

Xiaowei Yang;Guangquan Zhang;Jie Lu;Jun Ma.
IEEE Transactions on Fuzzy Systems (2011)

250 Citations

A Personalized e-Learning material Recommender System

J Lu.
(2004)

238 Citations

Task-Based System Load Balancing in Cloud Computing Using Particle Swarm Optimization

Fahimeh Ramezani;Jie Lu;Farookh Khadeer Hussain.
International Journal of Parallel Programming (2014)

220 Citations

Multi-Objective Group Decision Making: Methods, Software and Applications with Fuzzy Set Techniques(With CD-ROM)

Jie Lu;Guangquan Zhang;Da Ruan;Fengjie Wu.
Research Papers in Economics (2007)

206 Citations

Ontology-supported case-based reasoning approach for intelligent m-Government emergency response services

Khaled Amailef;Jie Lu.
decision support systems (2013)

189 Citations

A hybrid fuzzy-based personalized recommender system for telecom products/services

Zui Zhang;Hua Lin;Kun Liu;Dianshuang Wu.
Information Sciences (2013)

175 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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Edwin Lughofer

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