Ming-Can Fan

About

Ming-Can Fan is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, Ming-Can Fan has authored 19 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Networks and Communications, 8 papers in Control and Systems Engineering and 3 papers in Mechanical Engineering. Recurrent topics in Ming-Can Fan’s work include Distributed Multi-Agent Coordination and Control (16 papers), Neural Networks Stability and Synchronization (9 papers) and Adaptive Control of Nonlinear Systems (5 papers). Ming-Can Fan is often cited by papers focused on Distributed Multi-Agent Coordination and Control (16 papers), Neural Networks Stability and Synchronization (9 papers) and Adaptive Control of Nonlinear Systems (5 papers). Ming-Can Fan collaborates with scholars based in China, Australia and United States. Ming-Can Fan's co-authors include Hai‐Tao Zhang, Zhiyong Chen, Miaomiao Wang, Yue Wu, Guanrong Chen, Zongli Lin, Dan Wang, Dinggen Li, Venkataramana Ajjarapu and Tao Zhou and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Cybernetics and New Journal of Physics.

In The Last Decade

Co-authorship network of co-authors of Ming-Can Fan i

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Gravity: 0.05 Iterations: 100 Initial Temp: 1000 Cooling: 0.99 Min Temp: 1

Fields of papers citing papers by Ming-Can Fan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming-Can Fan. 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 Ming-Can Fan. The network helps show where Ming-Can Fan may publish in the future.

Countries citing papers authored by Ming-Can Fan

Since Specialization

Citations

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