Yuping Luo

11 papers and 72 indexed citations i.

About

Yuping Luo is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yuping Luo has authored 11 papers receiving a total of 72 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Computational Theory and Mathematics and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yuping Luo’s work include Reinforcement Learning in Robotics (5 papers), Formal Methods in Verification (3 papers) and Sparse and Compressive Sensing Techniques (2 papers). Yuping Luo is often cited by papers focused on Reinforcement Learning in Robotics (5 papers), Formal Methods in Verification (3 papers) and Sparse and Compressive Sensing Techniques (2 papers). Yuping Luo collaborates with scholars based in United States, China and Israel. Yuping Luo's co-authors include Sanjeev Arora, Wei Hu, Nadav Cohen, Ilya Sutskever, Navdeep Jaitly, Chung‐Cheng Chiu, Huazhe Xu, Roberto Calandra, Trevor Darrell and Shaoxiong Wang and has published in prestigious journals such as Energy, Journal of Intelligent & Fuzzy Systems and Chuangan jishu xuebao.

In The Last Decade

Co-authorship network of co-authors of Yuping Luo i

Fields of papers citing papers by Yuping Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yuping Luo

Since Specialization
Citations

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