Fengjun Lv

8 papers and 524 indexed citations i.

About

Fengjun Lv is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Fengjun Lv has authored 8 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 1 paper in Aerospace Engineering and 1 paper in Artificial Intelligence. Recurrent topics in Fengjun Lv’s work include Video Surveillance and Tracking Methods (5 papers), Human Pose and Action Recognition (3 papers) and Video Analysis and Summarization (1 paper). Fengjun Lv is often cited by papers focused on Video Surveillance and Tracking Methods (5 papers), Human Pose and Action Recognition (3 papers) and Video Analysis and Summarization (1 paper). Fengjun Lv collaborates with scholars based in United States, China and Singapore. Fengjun Lv's co-authors include Ramakant Nevatia, Tao Zhao, R. Nevatia, Yihong Gong, Liangliang Cao, Thomas S. Huang, Shuicheng Yan, Yuxiao Hu, Qingshan Liu and Yihong Gong and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Fuel and Remote Sensing.

In The Last Decade

Co-authorship network of co-authors of Fengjun Lv i

Fields of papers citing papers by Fengjun Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fengjun Lv. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Fengjun Lv. The network helps show where Fengjun Lv may publish in the future.

Countries citing papers authored by Fengjun Lv

Since Specialization
Citations

This map shows the geographic impact of Fengjun Lv's research. 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 Fengjun Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fengjun Lv more than expected).

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025