Gang Jin

About

Gang Jin is a scholar working on Electrical and Electronic Engineering, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Gang Jin has authored 53 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Electrical and Electronic Engineering, 15 papers in Aerospace Engineering and 12 papers in Artificial Intelligence. Recurrent topics in Gang Jin’s work include Infrared Target Detection Methodologies (13 papers), Advanced Measurement and Detection Methods (12 papers) and Radio Frequency Integrated Circuit Design (10 papers). Gang Jin is often cited by papers focused on Infrared Target Detection Methodologies (13 papers), Advanced Measurement and Detection Methods (12 papers) and Radio Frequency Integrated Circuit Design (10 papers). Gang Jin collaborates with scholars based in China, United States and Italy. Gang Jin's co-authors include Zhengzhou Li, Hongxia Fu, Yiqi Zhuang, Jing Chen, Ru Han, Ming Wei, Bing Liu, Cong Li, Yue Yin and Lutao Wang and has published in prestigious journals such as Journal of Cleaner Production, Sensors and IEEE Journal of Solid-State Circuits.

In The Last Decade

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

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Fields of papers citing papers by Gang Jin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gang Jin

Since Specialization

Citations

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