Fengmao Lv

50 papers and 712 indexed citations i.

About

Fengmao Lv is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Fengmao Lv has authored 50 papers receiving a total of 712 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 18 papers in Computer Vision and Pattern Recognition and 8 papers in Signal Processing. Recurrent topics in Fengmao Lv’s work include Domain Adaptation and Few-Shot Learning (12 papers), Multimodal Machine Learning Applications (7 papers) and Advanced Malware Detection Techniques (4 papers). Fengmao Lv is often cited by papers focused on Domain Adaptation and Few-Shot Learning (12 papers), Multimodal Machine Learning Applications (7 papers) and Advanced Malware Detection Techniques (4 papers). Fengmao Lv collaborates with scholars based in China, Singapore and United States. Fengmao Lv's co-authors include Lixin Duan, Guosheng Lin, Boqing Gong, Guowu Yang, Wenyong Wang, Yanyong Huang, Meng Wang, Xiang Chen, Xiang Chen and Xiaosong Zhang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Geophysical Research Letters and Environmental Pollution.

In The Last Decade

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

Fields of papers citing papers by Fengmao Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fengmao 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 Fengmao Lv. The network helps show where Fengmao Lv may publish in the future.

Countries citing papers authored by Fengmao Lv

Since Specialization
Citations

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

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2025