Joint Load Balancing and Offloading in Vehicular Edge Computing and Networks
Impact in
Classified as
- Journal
- IEEE Internet of Things Journal
In The Last Decade
doi.org/10.1109/jiot.2018.2876298 →Countries where authors are citing Joint Load Balancing and Offloading in Vehicular Edge Computing and Networks
This map shows the geographic impact of Joint Load Balancing and Offloading in Vehicular Edge Computing and Networks. 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 Joint Load Balancing and Offloading in Vehicular Edge Computing and Networks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joint Load Balancing and Offloading in Vehicular Edge Computing and Networks more than expected).
Fields of papers citing Joint Load Balancing and Offloading in Vehicular Edge Computing and Networks
This network shows the impact of Joint Load Balancing and Offloading in Vehicular Edge Computing and Networks. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Joint Load Balancing and Offloading in Vehicular Edge Computing and Networks.
About Joint Load Balancing and Offloading in Vehicular Edge Computing and Networks
This paper, published in 2018, received 393 indexed citations . Written by Yueyue Dai, Du Xu, Sabita Maharjan and Yan Zhang covering the research area of Artificial Intelligence, Computer Networks and Communications and Information Systems. It is primarily cited by scholars working on Computer Networks and Communications (346 citations), Electrical and Electronic Engineering (208 citations), Information Systems (157 citations), Artificial Intelligence (95 citations) and Computer Vision and Pattern Recognition (44 citations). Published in IEEE Internet of Things Journal.
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/jiot.2018.2876298.