Deep One-Class Classification
- Journal
- International Conference on Machine Learning
In The Last Decade
doi.org/w8570343 →Countries where authors are citing Deep One-Class Classification
This map shows the geographic impact of Deep One-Class Classification. 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 Deep One-Class Classification with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deep One-Class Classification more than expected).
Fields of papers citing Deep One-Class Classification
This network shows the impact of Deep One-Class Classification. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Deep One-Class Classification.
About Deep One-Class Classification
This paper, published in 2018, received 484 indexed citations . Written by Lukas Ruff, Robert A. Vandermeulen, Lucas Deecke, Shoaib Ahmed Siddiqui, Alexander Binder, Emmanuel Müller and Marius Kloft. It is primarily cited by scholars working on Artificial Intelligence (418 citations), Computer Networks and Communications (173 citations), Computer Vision and Pattern Recognition (76 citations), Signal Processing (70 citations) and Epidemiology (64 citations). Published in International Conference on Machine Learning.
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/w8570343.