Gliding Vertex on the Horizontal Bounding Box for Multi-Oriented Object Detection
Impact in
- Media Technology 277
Classified as
- Authors
- Yongchao XuQimeng WangYukang WangKai ChenGui-Song Xia
In The Last Decade
doi.org/10.1109/tpami.2020.2974745 →Countries where authors are citing Gliding Vertex on the Horizontal Bounding Box for Multi-Oriented Object Detection
This map shows the geographic impact of Gliding Vertex on the Horizontal Bounding Box for Multi-Oriented Object Detection. 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 Gliding Vertex on the Horizontal Bounding Box for Multi-Oriented Object Detection with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gliding Vertex on the Horizontal Bounding Box for Multi-Oriented Object Detection more than expected).
Fields of papers citing Gliding Vertex on the Horizontal Bounding Box for Multi-Oriented Object Detection
This network shows the impact of Gliding Vertex on the Horizontal Bounding Box for Multi-Oriented Object Detection. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Gliding Vertex on the Horizontal Bounding Box for Multi-Oriented Object Detection.
About Gliding Vertex on the Horizontal Bounding Box for Multi-Oriented Object Detection
This paper, published in 2020, received 764 indexed citations . Written by Yongchao Xu, Qimeng Wang, Yukang Wang, Kai Chen, Gui-Song Xia and Xiang Bai covering the research area of Computer Vision and Pattern Recognition. It is primarily cited by scholars working on Computer Vision and Pattern Recognition (606 citations), Media Technology (277 citations), Aerospace Engineering (266 citations), Artificial Intelligence (59 citations) and Industrial and Manufacturing Engineering (44 citations). Published in IEEE Transactions on Pattern Analysis and Machine Intelligence.
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/tpami.2020.2974745.