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 60 Citations 11,851 345 World Ranking 1552 National Ranking 866

Research.com Recognitions

Awards & Achievements

2017 - ACM Senior Member


What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer network
  • The Internet

His main research concerns Computer network, Computer security, Wireless sensor network, Distributed computing and Big data. Houbing Song specializes in Computer network, namely Network packet. His study in the fields of Authentication under the domain of Computer security overlaps with other disciplines such as Reputation.

His Wireless sensor network study integrates concerns from other disciplines, such as Wireless, Energy consumption, Real-time computing, Simulation and Efficient energy use. His biological study spans a wide range of topics, including Utility computing, Scalability, Cloud computing and Dynamic priority scheduling. Houbing Song usually deals with Big data and limits it to topics linked to World Wide Web and Data science, Tourism and Ubiquitous network.

His most cited work include:

  • Internet of Things and Big Data Analytics for Smart and Connected Communities (420 citations)
  • ART: An Attack-Resistant Trust Management Scheme for Securing Vehicular Ad Hoc Networks (212 citations)
  • Imperfect Information Dynamic Stackelberg Game Based Resource Allocation Using Hidden Markov for Cloud Computing (187 citations)

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

Houbing Song spends much of his time researching Computer network, Artificial intelligence, Computer security, Distributed computing and Wireless sensor network. Houbing Song studied Computer network and Energy consumption that intersect with Efficient energy use. His research integrates issues of Machine learning, Computer vision and Pattern recognition in his study of Artificial intelligence.

Computer security connects with themes related to Cyber-physical system in his study. Within one scientific family, he focuses on topics pertaining to Cloud computing under Distributed computing, and may sometimes address concerns connected to Big data. His Wireless sensor network study incorporates themes from Node and Key distribution in wireless sensor networks.

He most often published in these fields:

  • Computer network (24.11%)
  • Artificial intelligence (15.60%)
  • Computer security (12.06%)

What were the highlights of his more recent work (between 2019-2021)?

  • Artificial intelligence (15.60%)
  • Computer network (24.11%)
  • Deep learning (4.96%)

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

Artificial intelligence, Computer network, Deep learning, Distributed computing and Real-time computing are his primary areas of study. His study on Artificial intelligence also encompasses disciplines like

  • Pattern recognition that connect with fields like Feature,
  • Identification together with Wireless, Class and Code. In most of his Computer network studies, his work intersects topics such as Energy consumption.

His Energy consumption study combines topics in areas such as Scalability, Resource, Node, Cloud computing and Server. His study in Distributed computing is interdisciplinary in nature, drawing from both Relay, Throughput and Smart city. The various areas that Houbing Song examines in his Real-time computing study include Data transmission and Air traffic control.

Between 2019 and 2021, his most popular works were:

  • Security of the Internet of Things: Vulnerabilities, Attacks, and Countermeasures (90 citations)
  • A Compressive Sensing-Based Approach to End-to-End Network Traffic Reconstruction (89 citations)
  • Rethinking Behaviors and Activities of Base Stations in Mobile Cellular Networks Based on Big Data Analysis (76 citations)

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

  • Artificial intelligence
  • Computer network
  • Operating system

The scientist’s investigation covers issues in Computer network, Artificial intelligence, Deep learning, Distributed computing and Data mining. The concepts of his Computer network study are interwoven with issues in Energy consumption, Information privacy and Cognitive radio. His Energy consumption study combines topics from a wide range of disciplines, such as Latency and Cloud computing.

His Artificial intelligence research includes elements of Machine learning, Task analysis and Natural language processing. His Distributed computing research is multidisciplinary, relying on both Node, Wireless ad hoc network and Cluster analysis. His study of Big data is a part of Data mining.

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

Internet of Things and Big Data Analytics for Smart and Connected Communities

Yunchuan Sun;Houbing Song;Antonio J. Jara;Rongfang Bie.
IEEE Access (2016)

594 Citations

Industrial Internet of Things: Cybermanufacturing Systems

Sabina Jeschke;Christian Brecher;Houbing Song;Danda B. Rawat.

551 Citations

ART: An Attack-Resistant Trust Management Scheme for Securing Vehicular Ad Hoc Networks

Wenjia Li;Houbing Song.
IEEE Transactions on Intelligent Transportation Systems (2016)

285 Citations

Imperfect Information Dynamic Stackelberg Game Based Resource Allocation Using Hidden Markov for Cloud Computing

Wei Wei;Xunli Fan;Houbing Song;Xiumei Fan.
IEEE Transactions on Services Computing (2018)

253 Citations

Next-Generation Big Data Analytics: State of the Art, Challenges, and Future Research Topics

Zhihan Lv;Houbing Song;Pablo Basanta-Val;Anthony Steed.
IEEE Transactions on Industrial Informatics (2017)

246 Citations

A Scalable and Quick-Response Software Defined Vehicular Network Assisted by Mobile Edge Computing

Jianqi Liu;Jiafu Wan;Bi Zeng;Qinruo Wang.
IEEE Communications Magazine (2017)

227 Citations

Ubiquitous WSN for Healthcare: Recent Advances and Future Prospects

Yuan Zhang;Limin Sun;Houbing Song;Xiaojun Cao.
IEEE Internet of Things Journal (2014)

201 Citations

A Self-Assessment Stereo Capture Model Applicable to the Internet of Things.

Yancong Lin;Jiachen Yang;Zhihan Lv;Wei Wei.
Sensors (2015)

196 Citations

A New Deep-Q-Learning-Based Transmission Scheduling Mechanism for the Cognitive Internet of Things

Jiang Zhu;Yonghui Song;Dingde Jiang;Houbing Song.
IEEE Internet of Things Journal (2018)

169 Citations

Mobile Cloud Computing Model and Big Data Analysis for Healthcare Applications

Lo'ai A. Tawalbeh;Rashid Mehmood;Elhadj Benkhlifa;Houbing Song.
IEEE Access (2016)

168 Citations

Best Scientists Citing Houbing Song

Anfeng Liu

Anfeng Liu

Central South University

Publications: 54

Tian Wang

Tian Wang

Huaqiao University

Publications: 37

Zhihan Lv

Zhihan Lv

Qingdao University

Publications: 35

Burak Kantarci

Burak Kantarci

University of Ottawa

Publications: 31

Dingde Jiang

Dingde Jiang

University of Electronic Science and Technology of China

Publications: 28

Mohsen Guizani

Mohsen Guizani

Qatar University

Publications: 24

Tie Qiu

Tie Qiu

Tianjin University

Publications: 17

Wei Yu

Wei Yu

Towson University

Publications: 16

Jaime Lloret

Jaime Lloret

Universitat Politècnica de València

Publications: 14

Lei Shu

Lei Shu

Nanjing Agricultural University

Publications: 14

Jiafu Wan

Jiafu Wan

South China University of Technology

Publications: 12

Joel J. P. C. Rodrigues

Joel J. P. C. Rodrigues

Federal University of Piauí

Publications: 11

Arun Kumar Sangaiah

Arun Kumar Sangaiah

Vellore Institute of Technology University

Publications: 11

Lui Sha

Lui Sha

University of Illinois at Urbana-Champaign

Publications: 10

Guangjie Han

Guangjie Han

Hohai University

Publications: 10

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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