Pinghua Gong

19 papers and 1.2k indexed citations i.

About

Pinghua Gong is a scholar working on Artificial Intelligence, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Pinghua Gong has authored 19 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 8 papers in Computational Mechanics and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Pinghua Gong’s work include Sparse and Compressive Sensing Techniques (8 papers), Face and Expression Recognition (4 papers) and Machine Learning and ELM (3 papers). Pinghua Gong is often cited by papers focused on Sparse and Compressive Sensing Techniques (8 papers), Face and Expression Recognition (4 papers) and Machine Learning and ELM (3 papers). Pinghua Gong collaborates with scholars based in China, United States and Hong Kong. Pinghua Gong's co-authors include Jieping Ye, Changshui Zhang, Jintao Ke, Yitian Jia, Fei Wu, Zhenhui Li, Siyu Lu, Huaxiu Yao, Xianfeng Tang and Zhaosong Lu and has published in prestigious journals such as PLoS ONE, Information Sciences and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Pinghua Gong i

Fields of papers citing papers by Pinghua Gong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pinghua Gong

Since Specialization
Citations

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