Long Quan

275 papers and 6.9k indexed citations i.

About

Long Quan is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering and Control and Systems Engineering. According to data from OpenAlex, Long Quan has authored 275 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 117 papers in Computer Vision and Pattern Recognition, 116 papers in Mechanical Engineering and 76 papers in Control and Systems Engineering. Recurrent topics in Long Quan’s work include Hydraulic and Pneumatic Systems (102 papers), Advanced Vision and Imaging (83 papers) and Robotics and Sensor-Based Localization (34 papers). Long Quan is often cited by papers focused on Hydraulic and Pneumatic Systems (102 papers), Advanced Vision and Imaging (83 papers) and Robotics and Sensor-Based Localization (34 papers). Long Quan collaborates with scholars based in China, Hong Kong and France. Long Quan's co-authors include Maxime Lhuillier, Zixin Luo, Zhong-Dan Lan, Tian Fang, Yao Yao, Lei Zhou, Lu Yuan, Lei Ge, Tianwei Shen and Heung‐Yeung Shum and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

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

Fields of papers citing papers by Long Quan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Long Quan

Since Specialization
Citations

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