Gangshan Jing

About

Gangshan Jing is a scholar working on Computer Networks and Communications, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Gangshan Jing has authored 27 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Networks and Communications, 10 papers in Computational Theory and Mathematics and 7 papers in Artificial Intelligence. Recurrent topics in Gangshan Jing’s work include Distributed Multi-Agent Coordination and Control (19 papers), Adaptive Dynamic Programming Control (9 papers) and Reinforcement Learning in Robotics (6 papers). Gangshan Jing is often cited by papers focused on Distributed Multi-Agent Coordination and Control (19 papers), Adaptive Dynamic Programming Control (9 papers) and Reinforcement Learning in Robotics (6 papers). Gangshan Jing collaborates with scholars based in United States, China and Hong Kong. Gangshan Jing's co-authors include Long Wang, Kaihong Lu, Yuanshi Zheng, Guofeng Zhang, Joseph H. W. Lee, Ran Dai, Aranya Chakrabortty, Jemin George, He Bai and Jeremy R. Rea and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and IEEE Transactions on Cybernetics.

In The Last Decade

Co-authorship network of co-authors of Gangshan Jing i

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Fields of papers citing papers by Gangshan Jing

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gangshan Jing

Since Specialization

Citations

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