Fusing Blockchain and AI With Metaverse: A Survey
Impact in
Classified as
- Journal
- IEEE Open Journal of the Computer Society
In The Last Decade
doi.org/10.1109/ojcs.2022.3188249 →Countries where authors are citing Fusing Blockchain and AI With Metaverse: A Survey
This map shows the geographic impact of Fusing Blockchain and AI With Metaverse: A Survey. 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 Fusing Blockchain and AI With Metaverse: A Survey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fusing Blockchain and AI With Metaverse: A Survey more than expected).
Fields of papers citing Fusing Blockchain and AI With Metaverse: A Survey
This network shows the impact of Fusing Blockchain and AI With Metaverse: A Survey. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Fusing Blockchain and AI With Metaverse: A Survey.
About Fusing Blockchain and AI With Metaverse: A Survey
This paper, published in 2022, received 406 indexed citations . Written by Qinglin Yang, Huawei Huang, Zehui Xiong, Jiawen Kang and Zibin Zheng covering the research area of Computer Networks and Communications, Information Systems and Human-Computer Interaction. It is primarily cited by scholars working on Information Systems (190 citations), Human-Computer Interaction (134 citations), Computer Networks and Communications (103 citations), Artificial Intelligence (73 citations) and Computer Vision and Pattern Recognition (68 citations). Published in IEEE Open Journal of the Computer Society.
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/ojcs.2022.3188249.