Pinxin Long

13 papers and 857 indexed citations i.

About

Pinxin Long is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Pinxin Long has authored 13 papers receiving a total of 857 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 4 papers in Aerospace Engineering. Recurrent topics in Pinxin Long’s work include Robotic Path Planning Algorithms (8 papers), Reinforcement Learning in Robotics (5 papers) and Robotics and Sensor-Based Localization (4 papers). Pinxin Long is often cited by papers focused on Robotic Path Planning Algorithms (8 papers), Reinforcement Learning in Robotics (5 papers) and Robotics and Sensor-Based Localization (4 papers). Pinxin Long collaborates with scholars based in China, Hong Kong and United States. Pinxin Long's co-authors include Jia Pan, Wenxi Liu, Tingxiang Fan, Hao Zhang, Hui Huang, Dinesh Manocha, Xibin Song, Liangjun Zhang, Baoquan Chen and Wei Sun and has published in prestigious journals such as ACM Transactions on Graphics, The International Journal of Robotics Research and Science Robotics.

In The Last Decade

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

Fields of papers citing papers by Pinxin Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pinxin Long

Since Specialization
Citations

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