Yue Jin

21 papers and 318 indexed citations i.

About

Yue Jin is a scholar working on Artificial Intelligence, Computer Networks and Communications and Sociology and Political Science. According to data from OpenAlex, Yue Jin has authored 21 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Computer Networks and Communications and 4 papers in Sociology and Political Science. Recurrent topics in Yue Jin’s work include Reinforcement Learning in Robotics (8 papers), Digital Marketing and Social Media (4 papers) and Distributed Multi-Agent Coordination and Control (4 papers). Yue Jin is often cited by papers focused on Reinforcement Learning in Robotics (8 papers), Digital Marketing and Social Media (4 papers) and Distributed Multi-Agent Coordination and Control (4 papers). Yue Jin collaborates with scholars based in China, United States and Macao. Yue Jin's co-authors include Dongyang Zhang, Jinghua Huang, Amy K. Ferketich, Majed Abbas, Yuk Ming Tang, Eric E. Seiber, Jian Yuan, Ling Wang, Pengcheng Wang and Shuangqing Wei and has published in prestigious journals such as Journal of Environmental Management, International Journal of Environmental Research and Public Health and Preventive Medicine.

In The Last Decade

Co-authorship network of co-authors of Yue Jin i

Fields of papers citing papers by Yue Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yue Jin

Since Specialization
Citations

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