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
Engineering and Technology D-index 30 Citations 10,920 182 World Ranking 6714 National Ranking 462

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Software
  • Programming language

His scientific interests lie mostly in Software engineering, Condensed matter physics, Goal modeling, Monolayer and Field-effect transistor. His studies deal with areas such as Software development, Software system, Software requirements, Software development process and Software construction as well as Software engineering. His work on Superconductivity, Ferromagnetism, Phase transition and State of matter as part of general Condensed matter physics research is frequently linked to van der Waals force, bridging the gap between disciplines.

His biological study spans a wide range of topics, including Management science, Configuration management, Knowledge management and Traceability. His Monolayer study frequently links to related topics such as Transition temperature. His Field-effect transistor investigation overlaps with other areas such as Optoelectronics, Doping, Phase diagram and Saturation.

His most cited work include:

  • Black phosphorus field-effect transistors (4646 citations)
  • Gate-tunable room-temperature ferromagnetism in two-dimensional Fe 3 GeTe 2 (567 citations)
  • Gate-tunable room-temperature ferromagnetism in two-dimensional Fe 3 GeTe 2 (567 citations)

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

The scientist’s investigation covers issues in Software engineering, Software system, Computer security, Software and Artificial intelligence. The study incorporates disciplines such as Software development, Software requirements, Software construction, Goal modeling and Systems engineering in addition to Software engineering. In Systems engineering, Yijun Yu works on issues like Requirement, which are connected to Business requirements.

His Software system research is multidisciplinary, incorporating perspectives in Software quality and Data mining. In his research on the topic of Computer security, Security through obscurity and Asset is strongly related with Security testing. His Artificial intelligence study deals with Source code intersecting with Code, Java, Abstract syntax and Deep learning.

He most often published in these fields:

  • Software engineering (23.83%)
  • Software system (14.47%)
  • Computer security (13.62%)

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

  • Artificial intelligence (10.64%)
  • Source code (10.21%)
  • Code (8.09%)

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

His primary areas of investigation include Artificial intelligence, Source code, Code, Condensed matter physics and Machine learning. His research investigates the connection with Artificial intelligence and areas like Natural language processing which intersect with concerns in Process, Representation and Set. The various areas that Yijun Yu examines in his Source code study include Program comprehension, Application programming interface, Artificial neural network, Abstract syntax and Deep learning.

His Code study combines topics from a wide range of disciplines, such as Signature, Programming language, Realization, Task and Matching. His Condensed matter physics study frequently draws parallels with other fields, such as Monolayer. His Monolayer research incorporates elements of Electronic structure and Transition temperature.

Between 2018 and 2021, his most popular works were:

  • Quantum anomalous Hall effect in intrinsic magnetic topological insulator MnBi2Te4 (241 citations)
  • High-temperature superconductivity in monolayer Bi 2 Sr 2 CaCu 2 O 8+δ (73 citations)
  • Text Filtering and Ranking for Security Bug Report Prediction (15 citations)

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

  • Operating system
  • Software
  • Programming language

His main research concerns Condensed matter physics, Superconductivity, Artificial neural network, Quantum anomalous Hall effect and Topological insulator. His study of Meissner effect is a part of Condensed matter physics. His Superconductivity research integrates issues from Optoelectronics and Vacancy defect.

Yijun Yu combines subjects such as Statistical classification, Source code, Algorithm, Convolutional neural network and Data structure with his study of Artificial neural network. His Source code research is multidisciplinary, relying on both Program comprehension, Discriminative model, Data mining and Interpretability. Ferromagnetism, van der Waals force, Axion and State of matter are fields of study that overlap with his Quantum anomalous Hall effect 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

Black phosphorus field-effect transistors

Likai Li;Yijun Yu;Guo Jun Ye;Qingqin Ge.
Nature Nanotechnology (2014)

5889 Citations

Gate-tunable room-temperature ferromagnetism in two-dimensional Fe 3 GeTe 2

Yujun Deng;Yijun Yu;Yichen Song;Jingzhao Zhang.
Nature (2018)

666 Citations

Gate-tunable phase transitions in thin flakes of 1T-TaS2

Yijun Yu;Fangyuan Yang;Xiu Fang Lu;Ya Jun Yan.
Nature Nanotechnology (2015)

432 Citations

Quantum anomalous Hall effect in intrinsic magnetic topological insulator MnBi2Te4

Yujun Deng;Yijun Yu;Meng Zhu Shi;Zhongxun Guo.
Science (2020)

273 Citations

From goals to aspects: discovering aspects from requirements goal models

Yijun Yu;J.C.S.P. Leite;J. Mylopoulos.
ieee international conference on requirements engineering (2004)

244 Citations

On Goal-based Variability Acquisition and Analysis

S. Liaskos;A. Lapouchnian;Yijun Yu;E. Yu.
ieee international conference on requirements engineering (2006)

202 Citations

Requirements-driven design and configuration management of business processes

Alexei Lapouchnian;Yijun Yu;John Mylopoulos.
business process management (2007)

185 Citations

Adaptive Model-Driven User Interface Development Systems

Pierre A. Akiki;Arosha K. Bandara;Yijun Yu.
ACM Computing Surveys (2014)

145 Citations

A metallic mosaic phase and the origin of Mott-insulating state in 1T-TaS2.

Liguo Ma;Cun Ye;Yijun Yu;Xiu Fang Lu.
Nature Communications (2016)

144 Citations

Requirements-driven design of autonomic application software

Alexei Lapouchnian;Yijun Yu;Sotirios Liaskos;John Mylopoulos.
computer science and software engineering (2006)

139 Citations

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Best Scientists Citing Yijun Yu

Han Zhang

Han Zhang

Shenzhen University

Publications: 163

Kenji Watanabe

Kenji Watanabe

National Institute for Materials Science

Publications: 101

Takashi Taniguchi

Takashi Taniguchi

National Institute for Materials Science

Publications: 81

John Mylopoulos

John Mylopoulos

University of Ottawa

Publications: 66

Yong-Wei Zhang

Yong-Wei Zhang

Institute of High Performance Computing

Publications: 50

Zheng Liu

Zheng Liu

Nanyang Technological University

Publications: 42

Jinlong Yang

Jinlong Yang

University of Science and Technology of China

Publications: 42

Tianyou Zhai

Tianyou Zhai

Huazhong University of Science and Technology

Publications: 41

Yuping Sun

Yuping Sun

Chinese Academy of Sciences

Publications: 40

Gang Zhang

Gang Zhang

Agency for Science, Technology and Research

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Fengnian Xia

Fengnian Xia

Yale University

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Wei Ji

Wei Ji

Renmin University of China

Publications: 39

Tony Low

Tony Low

University of Minnesota

Publications: 39

Xue-Feng Yu

Xue-Feng Yu

Chinese Academy of Sciences

Publications: 38

Haibo Zeng

Haibo Zeng

Nanjing University of Science and Technology

Publications: 38

Peide D. Ye

Peide D. Ye

Purdue University West Lafayette

Publications: 38

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