Long Qu

37 papers and 1.0k indexed citations i.

About

Long Qu is a scholar working on Electrical and Electronic Engineering, Automotive Engineering and Materials Chemistry. According to data from OpenAlex, Long Qu has authored 37 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Electrical and Electronic Engineering, 11 papers in Automotive Engineering and 5 papers in Materials Chemistry. Recurrent topics in Long Qu’s work include Advancements in Battery Materials (26 papers), Advanced Battery Materials and Technologies (26 papers) and Advanced Battery Technologies Research (11 papers). Long Qu is often cited by papers focused on Advancements in Battery Materials (26 papers), Advanced Battery Materials and Technologies (26 papers) and Advanced Battery Technologies Research (11 papers). Long Qu collaborates with scholars based in China, United States and The Netherlands. Long Qu's co-authors include Mingtao Li, Xiaolu Tian, Yikun Yi, Pei Liu, Yang Pu, Shaohua Fang, Li Yang, Shin‐ichi Hirano, Te Wang and Bolun Yang and has published in prestigious journals such as Chemistry of Materials, Journal of Power Sources and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Long Qu i

Fields of papers citing papers by Long Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Long Qu

Since Specialization
Citations

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