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 30 Citations 5,999 134 World Ranking 8302 National Ranking 3870

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Central processing unit
  • Computer network

Youtao Zhang mostly deals with Embedded system, Computer hardware, Phase-change memory, Scalability and Memory architecture. The study incorporates disciplines such as Schedule, Scheduling and Chip in addition to Embedded system. His Computer hardware study frequently draws parallels with other fields, such as Overhead.

His studies examine the connections between Overhead and genetics, as well as such issues in Electronic engineering, with regards to Cache. His research in Scalability intersects with topics in Network planning and design, Latency, Error detection and correction and Access time. His Non-volatile memory study combines topics in areas such as Memory refresh, Semiconductor memory, Computer memory, Universal memory and Non-volatile random-access memory.

His most cited work include:

  • A durable and energy efficient main memory using phase change memory technology (793 citations)
  • Phase-Change Technology and the Future of Main Memory (337 citations)
  • Energy reduction for STT-RAM using early write termination (293 citations)

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

Youtao Zhang mainly focuses on Embedded system, Computer hardware, Parallel computing, Dram and Computer network. His Memory architecture study in the realm of Embedded system connects with subjects such as Register file. Many of his research projects under Computer hardware are closely connected to Phase-change memory with Phase-change memory, tying the diverse disciplines of science together.

Youtao Zhang has included themes like Memory refresh, Non-volatile random-access memory and Semiconductor memory in his Non-volatile memory study. His studies in Parallel computing integrate themes in fields like Scheduling, Data structure and Data compression. His work focuses on many connections between Dram and other disciplines, such as Energy consumption, that overlap with his field of interest in Computer engineering.

He most often published in these fields:

  • Embedded system (24.42%)
  • Computer hardware (18.60%)
  • Parallel computing (18.60%)

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

  • Embedded system (24.42%)
  • Latency (11.05%)
  • Dram (18.02%)

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

His primary scientific interests are in Embedded system, Latency, Dram, Random access memory and Computer hardware. His Embedded system research incorporates elements of Server and Memory bandwidth. The concepts of his Latency study are interwoven with issues in Context switch, Queueing theory and Implementation.

His research integrates issues of Energy consumption, Overhead, Bitwise operation and Memory protection in his study of Dram. His Random access memory research is multidisciplinary, incorporating perspectives in Parallel computing, Cache, Non-volatile memory, Static random-access memory and Garbage collection. His Computer hardware research includes themes of Scalability, Interleaving, Row and Resistive random-access memory.

Between 2018 and 2021, his most popular works were:

  • A Framework for Memory Oversubscription Management in Graphics Processing Units (26 citations)
  • Smart connected electronic gastroscope system for gastric cancer screening using multi-column convolutional neural networks (16 citations)
  • ELP2IM: Efficient and Low Power Bitwise Operation Processing in DRAM (10 citations)

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

  • Operating system
  • Central processing unit
  • Computer network

His scientific interests lie mostly in Embedded system, Artificial intelligence, Parallel computing, Artificial neural network and Dram. His research in Embedded system is mostly concerned with Flash memory. Server, Encryption, Deep learning and Upload is closely connected to Pattern recognition in his research, which is encompassed under the umbrella topic of Artificial intelligence.

In Parallel computing, he works on issues like Random access memory, which are connected to Exploit and Latency. His Artificial neural network research is multidisciplinary, relying on both Feature extraction, CMOS, Resistive random-access memory and Crossbar switch. Youtao Zhang has researched Dram in several fields, including Energy consumption, Logic gate, Charge sharing, Decoding methods and Electrical efficiency.

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 durable and energy efficient main memory using phase change memory technology

Ping Zhou;Bo Zhao;Jun Yang;Youtao Zhang.
international symposium on computer architecture (2009)

1104 Citations

Phase-Change Technology and the Future of Main Memory

B.C. Lee;Ping Zhou;Jun Yang;Youtao Zhang.
IEEE Micro (2010)

418 Citations

Energy reduction for STT-RAM using early write termination

Ping Zhou;Bo Zhao;Jun Yang;Youtao Zhang.
international conference on computer aided design (2009)

398 Citations

Precise dynamic slicing algorithms

Xiangyu Zhang;Rajiv Gupta;Youtao Zhang.
international conference on software engineering (2003)

284 Citations

Frequent value compression in data caches

Jun Yang;Youtao Zhang;Rajiv Gupta.
international symposium on microarchitecture (2000)

269 Citations

Frequent value locality and value-centric data cache design

Youtao Zhang;Jun Yang;Rajiv Gupta.
architectural support for programming languages and operating systems (2000)

237 Citations

Emerging non-volatile memories: opportunities and challenges

Chun Jason Xue;Guangyu Sun;Youtao Zhang;J. Joshua Yang.
international conference on hardware/software codesign and system synthesis (2011)

212 Citations

Fast secure processor for inhibiting software piracy and tampering

Jun Yang;Youtao Zhang;Lan Gao.
international symposium on microarchitecture (2003)

206 Citations

Improving write operations in MLC phase change memory

Lei Jiang;Bo Zhao;Youtao Zhang;Jun Yang.
high performance computer architecture (2012)

206 Citations

Dynamic Thermal Management through Task Scheduling

Jun Yang;Xiuyi Zhou;M. Chrobak;Youtao Zhang.
international symposium on performance analysis of systems and software (2008)

173 Citations

Best Scientists Citing Youtao Zhang

Onur Mutlu

Onur Mutlu

ETH Zurich

Publications: 119

Yuan Xie

Yuan Xie

University of California, Santa Barbara

Publications: 68

Yiran Chen

Yiran Chen

Duke University

Publications: 55

Rami Melhem

Rami Melhem

University of Pittsburgh

Publications: 51

Edwin H.-M. Sha

Edwin H.-M. Sha

East China Normal University

Publications: 38

Rajiv Gupta

Rajiv Gupta

University of California, Riverside

Publications: 36

Hai Li

Hai Li

Duke University

Publications: 29

Dan Feng

Dan Feng

Huazhong University of Science and Technology

Publications: 29

Mahmut Kandemir

Mahmut Kandemir

Pennsylvania State University

Publications: 27

Yan Solihin

Yan Solihin

University of Central Florida

Publications: 27

Kaushik Roy

Kaushik Roy

Purdue University West Lafayette

Publications: 26

Guangyu Sun

Guangyu Sun

Peking University

Publications: 23

Anand Raghunathan

Anand Raghunathan

Purdue University West Lafayette

Publications: 23

Xiangyu Zhang

Xiangyu Zhang

Purdue University West Lafayette

Publications: 23

Mehdi B. Tahoori

Mehdi B. Tahoori

Karlsruhe Institute of Technology

Publications: 20

Chita R. Das

Chita R. Das

Pennsylvania State University

Publications: 20

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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