Long Cheng

28 papers and 279 indexed citations i.

About

Long Cheng is a scholar working on Biomedical Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Long Cheng has authored 28 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Biomedical Engineering, 8 papers in Artificial Intelligence and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Long Cheng’s work include Robotic Locomotion and Control (8 papers), Reinforcement Learning in Robotics (5 papers) and Robot Manipulation and Learning (5 papers). Long Cheng is often cited by papers focused on Robotic Locomotion and Control (8 papers), Reinforcement Learning in Robotics (5 papers) and Robot Manipulation and Learning (5 papers). Long Cheng collaborates with scholars based in China, Germany and United States. Long Cheng's co-authors include Alois Knoll, Zhenshan Bing, Kai Huang, Florian Röhrbein, Guang Chen, Mingchuan Zhou, Steven L. Wolf, Thanassis Rikakis, Zhongliang Jiang and Margaret Duff and has published in prestigious journals such as IEEE Access, IEEE Transactions on Neural Networks and Learning Systems and Neural Networks.

In The Last Decade

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

Fields of papers citing papers by Long Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Long Cheng

Since Specialization
Citations

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