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 58 Citations 13,286 317 World Ranking 1756 National Ranking 70
Electronics and Electrical Engineering D-index 42 Citations 8,475 184 World Ranking 1639 National Ranking 88

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Computer network
  • Artificial intelligence

Xue Liu mostly deals with Computer network, Quality of service, Distributed computing, Real-time computing and The Internet. The Computer network study combines topics in areas such as Wireless and Web server. Xue Liu has researched Distributed computing in several fields, including Web service, Dynamic voltage scaling, Server farm, Queueing theory and Web application.

Xue Liu has included themes like Crowd counting, Image, Simulation and Metric in his Real-time computing study. His study in The Internet is interdisciplinary in nature, drawing from both Power management, Cloud computing, Electricity and Smart grid. Xue Liu interconnects Computer security, Trustworthy computing and Overhead in the investigation of issues within Wireless sensor network.

His most cited work include:

  • Minimizing Electricity Cost: Optimization of Distributed Internet Data Centers in a Multi-Electricity-Market Environment (458 citations)
  • PDA: Privacy-Preserving Data Aggregation in Wireless Sensor Networks (366 citations)
  • GreenCloud: a new architecture for green data center (331 citations)

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

His scientific interests lie mostly in Computer network, Distributed computing, Real-time computing, Wireless sensor network and Artificial intelligence. His Computer network study incorporates themes from Wireless network, The Internet and Wireless ad hoc network. His The Internet research is multidisciplinary, relying on both Power management and Smart grid.

His Distributed computing research incorporates themes from Scalability, Resource allocation, Quality of service, Scheduling and Cloud computing. His studies deal with areas such as Energy consumption and Embedded system as well as Real-time computing. His studies in Wireless sensor network integrate themes in fields like Testbed, Key distribution in wireless sensor networks, Overhead and Dissemination.

He most often published in these fields:

  • Computer network (26.73%)
  • Distributed computing (26.49%)
  • Real-time computing (18.14%)

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

  • Artificial intelligence (10.50%)
  • Machine learning (5.97%)
  • Recommender system (2.86%)

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

Artificial intelligence, Machine learning, Recommender system, Distributed computing and Real-time computing are his primary areas of study. His Artificial intelligence research is multidisciplinary, incorporating elements of Computer vision and Pattern recognition. His Distributed computing research includes elements of Data modeling, Resource allocation, Power grid, Bandwidth and Renewable energy.

The concepts of his Real-time computing study are interwoven with issues in Information leakage, Global Positioning System, Cyber-physical system and Tracing. His Scalability study deals with Identification intersecting with Computer network. He is studying Mobile computing, which is a component of Computer network.

Between 2017 and 2021, his most popular works were:

  • Towards Secure Industrial IoT: Blockchain System With Credit-Based Consensus Mechanism (109 citations)
  • Adversarial Attacks and Defenses in Deep Learning (65 citations)
  • Hierarchical Gating Networks for Sequential Recommendation (50 citations)

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

  • Operating system
  • Artificial intelligence
  • Computer network

His main research concerns Artificial intelligence, Machine learning, Recommender system, Recurrent neural network and Rule-based machine translation. His Machine learning study integrates concerns from other disciplines, such as Variety, Graph neural networks, Task and Shared memory. His Recommender system research integrates issues from Ranking, Autoencoder and Key.

His study looks at the relationship between Deep learning and topics such as Wireless sensor network, which overlap with Data modeling and Wireless. His biological study spans a wide range of topics, including Computer security and Computer engineering. Xue Liu merges Distributed computing with Electronic mail in his research.

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

Minimizing Electricity Cost: Optimization of Distributed Internet Data Centers in a Multi-Electricity-Market Environment

Lei Rao;Xue Liu;Le Xie;Wenyu Liu.
international conference on computer communications (2010)

631 Citations

Cyber-Physical Systems: A New Frontier

Lui Sha;S. Gopalakrishnan;Xue Liu;Qixin Wang.
sensor networks ubiquitous and trustworthy computing (2008)

570 Citations

PDA: Privacy-Preserving Data Aggregation in Wireless Sensor Networks

Wenbo He;Xue Liu;Hoang Nguyen;K. Nahrstedt.
ieee international conference computer and communications (2007)

550 Citations

GreenCloud: a new architecture for green data center

Liang Liu;Hao Wang;Xue Liu;Xing Jin.
Proceedings of the 6th international conference industry session on Autonomic computing and communications industry session (2009)

534 Citations

A survey of multicast routing protocols for mobile Ad-Hoc networks

Luo Junhai;Ye Danxia;Xue Liu;Fan Mingyu.
IEEE Communications Surveys and Tutorials (2009)

408 Citations

Dynamic Voltage Scaling in Multitier Web Servers with End-to-End Delay Control

T. Horvath;T. Abdelzaher;K. Skadron;Xue Liu.
IEEE Transactions on Computers (2007)

340 Citations

Electronic frog eye: Counting crowd using WiFi

Wei Xi;Jizhong Zhao;Xiang Yang Li;Kun Zhao.
international conference on computer communications (2014)

312 Citations

Integrating Adaptive Components: An Emerging Challenge in Performance-Adaptive Systems and a Server Farm Case-Study

Jin Heo;D. Henriksson;Xue Liu;T. Abdelzaher.
real-time systems symposium (2007)

263 Citations

Research on multicast routing protocols for mobile ad-hoc networks

Luo Junhai;Xue Liu;Ye Danxia.
Computer Networks (2008)

226 Citations

Feedback control with queueing-theoretic prediction for relative delay guarantees in web servers

Ying Lu;T. Abdelzaher;Chenyang Lu;Lui Sha.
real time technology and applications symposium (2003)

209 Citations

Best Scientists Citing Xue Liu

Tarek Abdelzaher

Tarek Abdelzaher

University of Illinois at Urbana-Champaign

Publications: 43

Wei Dong

Wei Dong

Zhejiang University

Publications: 42

Xiaorui Wang

Xiaorui Wang

The Ohio State University

Publications: 38

Yunhao Liu

Yunhao Liu

Tsinghua University

Publications: 32

Guihai Chen

Guihai Chen

Nanjing University

Publications: 30

Cheng-Zhong Xu

Cheng-Zhong Xu

University of Macau

Publications: 26

Song Guo

Song Guo

Hong Kong Polytechnic University

Publications: 24

Tao Jiang

Tao Jiang

Huazhong University of Science and Technology

Publications: 23

Mauro Conti

Mauro Conti

University of Padua

Publications: 22

Lu Su

Lu Su

Purdue University West Lafayette

Publications: 21

Lui Sha

Lui Sha

University of Illinois at Urbana-Champaign

Publications: 21

Samee U. Khan

Samee U. Khan

Mississippi State University

Publications: 20

Jie Wu

Jie Wu

Temple University

Publications: 20

Henry Hoffmann

Henry Hoffmann

University of Chicago

Publications: 19

Jiajun Bu

Jiajun Bu

Zhejiang University

Publications: 19

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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