H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 66 Citations 16,242 217 World Ranking 1085 National Ranking 100

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • The Internet
  • Computer network

His primary scientific interests are in Real-time computing, Wireless sensor network, Distributed computing, Server and Computer network. The various areas that Jie Liu examines in his Real-time computing study include Efficient energy use, Semantic interpretation and Radar tracker. His Wireless sensor network research is multidisciplinary, relying on both Scalability, Message passing, Key distribution in wireless sensor networks, Signal processing and Semantics.

His Distributed computing study combines topics in areas such as Component-based software engineering, Programming paradigm and Asynchronous communication. The concepts of his Server study are interwoven with issues in Workload, Data center, Scheduling, Provisioning and Software quality. His Computer network research incorporates elements of Wireless, ISM band and Redundancy.

His most cited work include:

  • Taming heterogeneity - the Ptolemy approach (949 citations)
  • Energy-aware server provisioning and load dispatching for connection-intensive internet services (605 citations)
  • Virtual machine power metering and provisioning (488 citations)

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

His scientific interests lie mostly in Real-time computing, Distributed computing, Wireless sensor network, Embedded system and Computer network. Jie Liu has researched Real-time computing in several fields, including Computer hardware, Assisted GPS, Global Positioning System, Efficient energy use and Mobile device. His Distributed computing study integrates concerns from other disciplines, such as Scheduling, Modeling and simulation and Programming paradigm.

His study in Wireless sensor network is interdisciplinary in nature, drawing from both Scalability, Key distribution in wireless sensor networks, Visual sensor network, Mobile wireless sensor network and Data center. His research in Embedded system intersects with topics in Virtual machine, Cloud computing and Operating system. He interconnects Wireless and The Internet in the investigation of issues within Computer network.

He most often published in these fields:

  • Real-time computing (21.77%)
  • Distributed computing (21.03%)
  • Wireless sensor network (16.97%)

What were the highlights of his more recent work (between 2016-2020)?

  • Cloud computing (11.07%)
  • Artificial intelligence (7.75%)
  • Set (5.54%)

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

His primary areas of investigation include Cloud computing, Artificial intelligence, Set, Computer network and Server. His work carried out in the field of Cloud computing brings together such families of science as Batch processing, Reliability, Field, Real-time computing and Multi-core processor. The concepts of his Artificial intelligence study are interwoven with issues in Frame, Machine learning and Computer vision.

Jie Liu combines subjects such as GNSS applications, Global Positioning System and Database with his study of Set. His work in the fields of Computer network, such as Wireless sensor network and Asynchronous communication, intersects with other areas such as Acceleration and Work in process. His research investigates the link between Server and topics such as High availability that cross with problems in Risk analysis.

Between 2016 and 2020, his most popular works were:

  • Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours (114 citations)
  • The Microsoft Indoor Localization Competition: Experiences and Lessons Learned (84 citations)
  • Representing and Recommending Shopping Baskets with Complementarity, Compatibility and Loyalty (45 citations)

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

  • Operating system
  • The Internet
  • Computer network

Jie Liu mainly investigates Wireless sensor network, Scalability, Contextual image classification, Artificial intelligence and Data science. Wireless sensor network is a primary field of his research addressed under Computer network. The various areas that Jie Liu examines in his Computer network study include Rural area, Universal Software Radio Peripheral and Orthogonal frequency-division multiplexing.

His studies in Scalability integrate themes in fields like White spaces and Physical layer. As part of the same scientific family, Jie Liu usually focuses on Contextual image classification, concentrating on Latency and intersecting with Mobile device and Codebase. His Data science study incorporates themes from Telecommunications and Satellite broadcasting.

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

Taming heterogeneity - the Ptolemy approach

J. Eker;J.W. Janneck;E.A. Lee;Jie Liu.
Proceedings of the IEEE (2003)

1324 Citations

Energy-aware server provisioning and load dispatching for connection-intensive internet services

Gong Chen;Wenbo He;Jie Liu;Suman Nath.
networked systems design and implementation (2008)

872 Citations

Virtual machine power metering and provisioning

Aman Kansal;Feng Zhao;Jie Liu;Nupur Kothari.
symposium on cloud computing (2010)

730 Citations

Collaborative signal and information processing: an information-directed approach

Feng Zhao;Jie Liu;Juan Liu;L. Guibas.
Proceedings of the IEEE (2003)

617 Citations

SenseWeb: An Infrastructure for Shared Sensing

W.I. Grosky;A. Kansal;S. Nath;Jie Liu.
IEEE MultiMedia (2007)

482 Citations

Surviving wi-fi interference in low power ZigBee networks

Chieh-Jan Mike Liang;Nissanka Bodhi Priyantha;Jie Liu;Andreas Terzis.
international conference on embedded networked sensor systems (2010)

474 Citations

A realistic evaluation and comparison of indoor location technologies: experiences and lessons learned

Dimitrios Lymberopoulos;Jie Liu;Xue Yang;Romit Roy Choudhury.
information processing in sensor networks (2015)

367 Citations

FM-based indoor localization

Yin Chen;Dimitrios Lymberopoulos;Jie Liu;Bodhi Priyantha.
international conference on mobile systems, applications, and services (2012)

353 Citations

Fast app launching for mobile devices using predictive user context

Tingxin Yan;David Chu;Deepak Ganesan;Aman Kansal.
international conference on mobile systems, applications, and services (2012)

336 Citations

Semantic streams: a framework for composable semantic interpretation of sensor data

Kamin Whitehouse;Feng Zhao;Jie Liu.
international conference on embedded wireless systems and networks (2006)

273 Citations

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Best Scientists Citing Jie Liu

Edward A. Lee

Edward A. Lee

University of California, Berkeley

Publications: 119

Onur Mutlu

Onur Mutlu

ETH Zurich

Publications: 66

Shuvra S. Bhattacharyya

Shuvra S. Bhattacharyya

University of Maryland, College Park

Publications: 41

Yunhao Liu

Yunhao Liu

Tsinghua University

Publications: 34

Tian He

Tian He

University of Minnesota

Publications: 33

Alberto Sangiovanni-Vincentelli

Alberto Sangiovanni-Vincentelli

University of California, Berkeley

Publications: 32

Tarek Abdelzaher

Tarek Abdelzaher

University of Illinois at Urbana-Champaign

Publications: 29

Xue Liu

Xue Liu

McGill University

Publications: 27

Feng Zhao

Feng Zhao

University of Maryland, College Park

Publications: 25

Thiemo Voigt

Thiemo Voigt

Uppsala University

Publications: 25

Stavros Tripakis

Stavros Tripakis

Northeastern University

Publications: 24

Xiang-Yang Li

Xiang-Yang Li

University of Science and Technology of China

Publications: 23

David E. Culler

David E. Culler

University of California, Berkeley

Publications: 22

Samee U. Khan

Samee U. Khan

Mississippi State University

Publications: 22

Yu Gu

Yu Gu

Visa (United States)

Publications: 21

Aman Kansal

Aman Kansal

Microsoft (United States)

Publications: 21

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