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 37 Citations 5,452 301 World Ranking 5237 National Ranking 494

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Central processing unit
  • Computer network

Embedded system, Scheduling, Parallel computing, Interleaved memory and Computer memory are his primary areas of study. His Embedded system research includes themes of Chip, Software, Operating system and Computer hardware. His biological study focuses on Dynamic priority scheduling.

The concepts of his Dynamic priority scheduling study are interwoven with issues in Energy consumption, Dynamic voltage scaling and Fair-share scheduling. His Parallel computing research incorporates elements of Algorithm, Node and Control flow graph. The various areas that he examines in his Computer memory study include Registered memory and Memory map.

His most cited work include:

  • Cost minimization while satisfying hard/soft timing constraints for heterogeneous embedded systems (188 citations)
  • A novel multiplexer-based low-power full adder (152 citations)
  • Trust prediction and trust-based source routing in mobile ad hoc networks (145 citations)

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

His scientific interests lie mostly in Parallel computing, Scheduling, Embedded system, Distributed computing and Retiming. His Parallel computing research includes elements of Interleaved memory, Digital signal processing, Loop scheduling and Uniform memory access. Edwin H.-M. Sha has included themes like Schedule and Mathematical optimization in his Scheduling study.

His study in Mathematical optimization is interdisciplinary in nature, drawing from both Probabilistic logic and Real-time computing. His work carried out in the field of Embedded system brings together such families of science as Energy consumption, Non-volatile memory, Software and Dram. His research integrates issues of Data flow diagram and Software pipelining in his study of Retiming.

He most often published in these fields:

  • Parallel computing (40.63%)
  • Scheduling (33.07%)
  • Embedded system (21.35%)

What were the highlights of his more recent work (between 2012-2021)?

  • Embedded system (21.35%)
  • Scheduling (33.07%)
  • Parallel computing (40.63%)

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

The scientist’s investigation covers issues in Embedded system, Scheduling, Parallel computing, Distributed computing and Energy consumption. His study in the fields of Wear leveling under the domain of Embedded system overlaps with other disciplines such as Phase-change memory. His Scheduling study combines topics from a wide range of disciplines, such as Multiprocessing, MPSoC and Schedule.

As a member of one scientific family, he mostly works in the field of Parallel computing, focusing on Access time and, on occasion, Static random-access memory. His Distributed computing study integrates concerns from other disciplines, such as Real-time computing, Computer network, Integer programming and Routing protocol. His studies deal with areas such as Least slack time scheduling, Efficient energy use and Mobile device as well as Energy consumption.

Between 2012 and 2021, his most popular works were:

  • Trust prediction and trust-based source routing in mobile ad hoc networks (145 citations)
  • crowddeliver : Planning City-Wide Package Delivery Paths Leveraging the Crowd of Taxis (103 citations)
  • Data Allocation Optimization for Hybrid Scratch Pad Memory With SRAM and Nonvolatile Memory (61 citations)

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

  • Operating system
  • Central processing unit
  • Computer network

His primary scientific interests are in Embedded system, Phase-change memory, Wear leveling, Computer network and Parallel computing. His Embedded system research is multidisciplinary, incorporating elements of Overhead, Operating system, Energy consumption, Chip and Non-volatile memory. The Energy consumption study combines topics in areas such as Scheduling, Efficient energy use and Paging.

His Parallel computing study combines topics in areas such as Processor scheduling, Greedy algorithm, Dynamic priority scheduling and Heuristic. His Routing protocol research is multidisciplinary, incorporating perspectives in Mobile ad hoc network and Distributed computing. His work on Computer memory, Non-volatile random-access memory, Registered memory and Semiconductor memory is typically connected to Nand flash memory as part of general Computer hardware study, connecting several disciplines of science.

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

A novel multiplexer-based low-power full adder

Yingtao Jiang;A. Al-Sheraidah;Yuke Wang;E. Sha.
IEEE Transactions on Circuits and Systems Ii-express Briefs (2004)

265 Citations

Cost minimization while satisfying hard/soft timing constraints for heterogeneous embedded systems

Meikang Qiu;Edwin H. M. Sha.
ACM Transactions on Design Automation of Electronic Systems (2009)

248 Citations

Trust prediction and trust-based source routing in mobile ad hoc networks

Hui Xia;Zhiping Jia;Xin Li;Lei Ju.
ad hoc networks (2013)

234 Citations

Rotation scheduling: a loop pipelining algorithm

Liang-Fang Chao;A.S. LaPaugh;E.H.-M. Sha.
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (1997)

169 Citations

Reducing write activities on non-volatile memories in embedded CMPs via data migration and recomputation

Jingtong Hu;Chun Jason Xue;Wei-Che Tseng;Yi He.
design automation conference (2010)

150 Citations

crowddeliver : Planning City-Wide Package Delivery Paths Leveraging the Crowd of Taxis

Chao Chen;Daqing Zhang;Xiaojuan Ma;Bin Guo.
IEEE Transactions on Intelligent Transportation Systems (2017)

124 Citations

Towards energy efficient hybrid on-chip Scratch Pad Memory with non-volatile memory

Jingtong Hu;Chun Jason Xue;Qingfeng Zhuge;Wei-Che Tseng.
design, automation, and test in europe (2011)

107 Citations

Static scheduling for synthesis of DSP algorithms on various models

Liang-Fang Chao;Edwin Hsing-Mean Sha.
signal processing systems (1995)

97 Citations

Dynamic and Leakage Energy Minimization With Soft Real-Time Loop Scheduling and Voltage Assignment

Meikang Qiu;L.T. Yang;Zili Shao;E.H.-M. Sha.
IEEE Transactions on Very Large Scale Integration Systems (2010)

90 Citations

Achieving full parallelism using multidimensional retiming

N.L. Passos;E.H.-M. Sha.
IEEE Transactions on Parallel and Distributed Systems (1996)

87 Citations

Best Scientists Citing Edwin H.-M. Sha

Meikang Qiu

Meikang Qiu

Texas A&M University

Publications: 103

Keke Gai

Keke Gai

Beijing Institute of Technology

Publications: 34

Keqin Li

Keqin Li

State University of New York

Publications: 26

Laurence T. Yang

Laurence T. Yang

St. Francis Xavier University

Publications: 22

Francky Catthoor

Francky Catthoor

KU Leuven

Publications: 20

Kenli Li

Kenli Li

Hunan University

Publications: 20

Nikil Dutt

Nikil Dutt

University of California, Irvine

Publications: 19

Shuvra S. Bhattacharyya

Shuvra S. Bhattacharyya

University of Maryland, College Park

Publications: 17

Jianwei Niu

Jianwei Niu

Beihang University

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Xiao Qin

Xiao Qin

Auburn University

Publications: 17

Yiran Chen

Yiran Chen

Duke University

Publications: 12

Tei-Wei Kuo

Tei-Wei Kuo

National Taiwan University

Publications: 12

Youtao Zhang

Youtao Zhang

University of Pittsburgh

Publications: 11

Bin Guo

Bin Guo

Northwestern Polytechnical University

Publications: 11

Min Chen

Min Chen

Huazhong University of Science and Technology

Publications: 11

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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