Kun Dong

About

Kun Dong is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Molecular Biology. According to data from OpenAlex, Kun Dong has authored 47 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 10 papers in Electrical and Electronic Engineering and 8 papers in Molecular Biology. Recurrent topics in Kun Dong’s work include Reinforcement Learning in Robotics (5 papers), Genomics and Phylogenetic Studies (5 papers) and Gyrotron and Vacuum Electronics Research (4 papers). Kun Dong is often cited by papers focused on Reinforcement Learning in Robotics (5 papers), Genomics and Phylogenetic Studies (5 papers) and Gyrotron and Vacuum Electronics Research (4 papers). Kun Dong collaborates with scholars based in China, United States and Russia. Kun Dong's co-authors include Zehui Zhang, Zongbao K. Zhao, Gejiao Wang, Fang Chen, Yan Du, Hong‐Can Liu, Yu‐Hua Xin, Yu‐Guang Zhou, Jianli Zhang and Haiyun Xu and has published in prestigious journals such as Journal of Cleaner Production, IEEE Transactions on Industrial Electronics and Physical Chemistry Chemical Physics.

In The Last Decade

Co-authorship network of co-authors of Kun Dong i

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Fields of papers citing papers by Kun Dong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kun Dong

Since Specialization

Citations

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