Long Cheng

240 papers and 6.8k indexed citations i.

About

Long Cheng is a scholar working on Control and Systems Engineering, Biomedical Engineering and Computer Networks and Communications. According to data from OpenAlex, Long Cheng has authored 240 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Control and Systems Engineering, 61 papers in Biomedical Engineering and 39 papers in Computer Networks and Communications. Recurrent topics in Long Cheng’s work include Distributed Multi-Agent Coordination and Control (33 papers), Muscle activation and electromyography studies (26 papers) and Adaptive Control of Nonlinear Systems (24 papers). Long Cheng is often cited by papers focused on Distributed Multi-Agent Coordination and Control (33 papers), Muscle activation and electromyography studies (26 papers) and Adaptive Control of Nonlinear Systems (24 papers). Long Cheng collaborates with scholars based in China, United States and Canada. Long Cheng's co-authors include Zeng‐Guang Hou, Min Tan, Chenguang Yang, Min Tan, Wenjun Zhang, Yingzi Lin, Zhijun Li, Junzhi Yu, Weichuan Liu and Wei He and has published in prestigious journals such as Advanced Materials, PLoS ONE and The Science of The Total Environment.

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