Jinyuan Jia

About

Jinyuan Jia is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Jinyuan Jia has authored 47 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 13 papers in Computational Mechanics and 10 papers in Artificial Intelligence. Recurrent topics in Jinyuan Jia’s work include 3D Shape Modeling and Analysis (11 papers), Computer Graphics and Visualization Techniques (8 papers) and Adversarial Robustness in Machine Learning (6 papers). Jinyuan Jia is often cited by papers focused on 3D Shape Modeling and Analysis (11 papers), Computer Graphics and Visualization Techniques (8 papers) and Adversarial Robustness in Machine Learning (6 papers). Jinyuan Jia collaborates with scholars based in China, United States and Hong Kong. Jinyuan Jia's co-authors include Neil Zhenqiang Gong, Binghui Wang, Zaixi Zhang, Kai Tang, Ning Xie, Xiaoyu Cao, Xiaojun Liu, Wen Zhou, Qinghua Guo and Xiaoyu Cao and has published in prestigious journals such as IEEE Access, Electronics Letters and Journal of Material Science and Technology.

In The Last Decade

Co-authorship network of co-authors of Jinyuan Jia i

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Fields of papers citing papers by Jinyuan Jia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jinyuan Jia

Since Specialization

Citations

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