Qin Lv

98 papers and 2.7k indexed citations i.

About

Qin Lv is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Qin Lv has authored 98 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 20 papers in Computer Vision and Pattern Recognition and 18 papers in Electrical and Electronic Engineering. Recurrent topics in Qin Lv’s work include Human Mobility and Location-Based Analysis (11 papers), Indoor and Outdoor Localization Technologies (11 papers) and Mobile Crowdsensing and Crowdsourcing (10 papers). Qin Lv is often cited by papers focused on Human Mobility and Location-Based Analysis (11 papers), Indoor and Outdoor Localization Technologies (11 papers) and Mobile Crowdsensing and Crowdsourcing (10 papers). Qin Lv collaborates with scholars based in United States, China and United Kingdom. Qin Lv's co-authors include Li Shang, Daqing Zhang, Moses Charikar, Richard Han, Shivakant Mishra, Zhe Wang, Kai Li, William Josephson, Dongsheng Li and Yingying Zhao and has published in prestigious journals such as Chemistry of Materials, Remote Sensing of Environment and Scientific Reports.

In The Last Decade

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

Fields of papers citing papers by Qin Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Qin Lv

Since Specialization
Citations

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