A Review on Video-Based Human Activity Recognition
- Journal
- Computers
In The Last Decade
doi.org/10.3390/computers2020088 →Countries where authors are citing A Review on Video-Based Human Activity Recognition
This map shows the geographic impact of A Review on Video-Based Human Activity Recognition. 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 A Review on Video-Based Human Activity Recognition with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A Review on Video-Based Human Activity Recognition more than expected).
Fields of papers citing A Review on Video-Based Human Activity Recognition
This network shows the impact of A Review on Video-Based Human Activity Recognition. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the A Review on Video-Based Human Activity Recognition.
About A Review on Video-Based Human Activity Recognition
This paper, published in 2013, received 306 indexed citations . Written by Hoang Le Uyen Thuc, Yongjin Lee, Jenq–Neng Hwang, Jang‐Hee Yoo and Kyoung-Ho Choi covering the research area of Artificial Intelligence and Computer Vision and Pattern Recognition. It is primarily cited by scholars working on Computer Vision and Pattern Recognition (259 citations), Artificial Intelligence (131 citations) and Biomedical Engineering (67 citations). Published in Computers.
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/10.3390/computers2020088.