IoT Security Techniques Based on Machine Learning: How Do IoT Devices Use AI to Enhance Security?
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- IEEE Signal Processing Magazine
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doi.org/10.1109/msp.2018.2825478 →Countries where authors are citing IoT Security Techniques Based on Machine Learning: How Do IoT Devices Use AI to Enhance Security?
This map shows the geographic impact of IoT Security Techniques Based on Machine Learning: How Do IoT Devices Use AI to Enhance Security?. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by IoT Security Techniques Based on Machine Learning: How Do IoT Devices Use AI to Enhance Security? with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites IoT Security Techniques Based on Machine Learning: How Do IoT Devices Use AI to Enhance Security? more than expected).
Fields of papers citing IoT Security Techniques Based on Machine Learning: How Do IoT Devices Use AI to Enhance Security?
This network shows the impact of IoT Security Techniques Based on Machine Learning: How Do IoT Devices Use AI to Enhance Security?. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the IoT Security Techniques Based on Machine Learning: How Do IoT Devices Use AI to Enhance Security?.
About IoT Security Techniques Based on Machine Learning: How Do IoT Devices Use AI to Enhance Security?
This paper, published in 2018, received 540 indexed citations . Written by Liang Xiao, Xiaoyue Wan, Xiaozhen Lu, Yanyong Zhang and Di Wu covering the research area of Control and Systems Engineering, Computer Networks and Communications and Signal Processing. It is primarily cited by scholars working on Computer Networks and Communications (386 citations), Artificial Intelligence (209 citations), Signal Processing (202 citations), Information Systems (142 citations) and Electrical and Electronic Engineering (94 citations). Published in IEEE Signal Processing Magazine.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.
This paper is also available at doi.org/10.1109/msp.2018.2825478.