Guanjin Wang

About

Guanjin Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Guanjin Wang has authored 55 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Guanjin Wang’s work include Imbalanced Data Classification Techniques (9 papers), Domain Adaptation and Few-Shot Learning (8 papers) and Face and Expression Recognition (6 papers). Guanjin Wang is often cited by papers focused on Imbalanced Data Classification Techniques (9 papers), Domain Adaptation and Few-Shot Learning (8 papers) and Face and Expression Recognition (6 papers). Guanjin Wang collaborates with scholars based in Australia, Hong Kong and China. Guanjin Wang's co-authors include Kup‐Sze Choi, Zhaohong Deng, Kok Wai Wong, Jie Lü, Shitong Wang, Stephen Wai Hang Kwok, Wendell P. Ela, Fu-Lai Chung, Pengjiang Qian and Yizhang Jiang and has published in prestigious journals such as Journal of Applied Mechanics, Expert Systems with Applications and Cement and Concrete Composites.

In The Last Decade

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

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Fields of papers citing papers by Guanjin Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Guanjin Wang

Since Specialization

Citations

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