Xingjun Ma

49 papers and 1.9k indexed citations i.

About

Xingjun Ma is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Safety Research. According to data from OpenAlex, Xingjun Ma has authored 49 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 5 papers in Safety Research. Recurrent topics in Xingjun Ma’s work include Adversarial Robustness in Machine Learning (21 papers), Anomaly Detection Techniques and Applications (13 papers) and Privacy-Preserving Technologies in Data (9 papers). Xingjun Ma is often cited by papers focused on Adversarial Robustness in Machine Learning (21 papers), Anomaly Detection Techniques and Applications (13 papers) and Privacy-Preserving Technologies in Data (9 papers). Xingjun Ma collaborates with scholars based in Australia, China and United States. Xingjun Ma's co-authors include James Bailey, Yisen Wang, Jinfeng Yi, Yu–Gang Jiang, Yuan Luo, Jingjing Chen, Lingjuan Lyu, Lin Gu, Feng Lu and Yitian Zhao and has published in prestigious journals such as Journal of Materials Science, Pattern Recognition and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Co-authorship network of co-authors of Xingjun Ma i

Fields of papers citing papers by Xingjun Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Xingjun Ma

Since Specialization
Citations

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