Pin Lv

104 papers and 1.0k indexed citations i.

About

Pin Lv is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Pin Lv has authored 104 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Electrical and Electronic Engineering, 18 papers in Artificial Intelligence and 16 papers in Computer Networks and Communications. Recurrent topics in Pin Lv’s work include Dental materials and restorations (5 papers), Mobile Crowdsensing and Crowdsourcing (4 papers) and Recommender Systems and Techniques (4 papers). Pin Lv is often cited by papers focused on Dental materials and restorations (5 papers), Mobile Crowdsensing and Crowdsourcing (4 papers) and Recommender Systems and Techniques (4 papers). Pin Lv collaborates with scholars based in China, United States and Singapore. Pin Lv's co-authors include Jia Xu, Deke Guo, Junjie Xie, Ming Xu, Xudong Wang, Ting Jiang, Xin Yang, Jinfang Zhang, Yuan Lin and Ke Yang and has published in prestigious journals such as Journal of the American Chemical Society, Nature Neuroscience and Applied Physics Letters.

In The Last Decade

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

Fields of papers citing papers by Pin Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pin Lv

Since Specialization
Citations

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