Ruoxi Jia

35 papers and 867 indexed citations i.

About

Ruoxi Jia is a scholar working on Artificial Intelligence, Building and Construction and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ruoxi Jia has authored 35 papers receiving a total of 867 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 6 papers in Building and Construction and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ruoxi Jia’s work include Adversarial Robustness in Machine Learning (14 papers), Privacy-Preserving Technologies in Data (14 papers) and Building Energy and Comfort Optimization (5 papers). Ruoxi Jia is often cited by papers focused on Adversarial Robustness in Machine Learning (14 papers), Privacy-Preserving Technologies in Data (14 papers) and Building Energy and Comfort Optimization (5 papers). Ruoxi Jia collaborates with scholars based in United States, China and Denmark. Ruoxi Jia's co-authors include Costas J. Spanos, Ming Jin, Dawn Song, Tianzhen Hong, Yuheng Zhang, Bo Li, Wenxiao Wang, Hengzhi Pei, Yi Zeng and Won Park and has published in prestigious journals such as Proceedings of the IEEE, Applied Energy and Sensors.

In The Last Decade

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

Fields of papers citing papers by Ruoxi Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ruoxi Jia

Since Specialization
Citations

This map shows the geographic impact of Ruoxi 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 Ruoxi Jia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruoxi 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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2025