Jin Wang

737 papers and 15.4k indexed citations i.

About

Jin Wang is a scholar working on Artificial Intelligence, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Jin Wang has authored 737 papers receiving a total of 15.4k indexed citations (citations by other indexed papers that have themselves been cited), including 196 papers in Artificial Intelligence, 190 papers in Computer Networks and Communications and 133 papers in Electrical and Electronic Engineering. Recurrent topics in Jin Wang’s work include Topic Modeling (59 papers), Energy Efficient Wireless Sensor Networks (56 papers) and IoT and Edge/Fog Computing (45 papers). Jin Wang is often cited by papers focused on Topic Modeling (59 papers), Energy Efficient Wireless Sensor Networks (56 papers) and IoT and Edge/Fog Computing (45 papers). Jin Wang collaborates with scholars based in China, United States and South Korea. Jin Wang's co-authors include Arun Kumar Sangaiah, Jianming Zhang, Yu Gao, Hye-Jin Kim, Yongjun Ren, R. Simon Sherratt, Wei Liu, Jian Shen, Xuejie Zhang and Jun Liu and has published in prestigious journals such as Nucleic Acids Research, Annals of Internal Medicine and PLoS ONE.

In The Last Decade

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

Fields of papers citing papers by Jin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jin Wang

Since Specialization
Citations

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