Yihe Deng

About

Yihe Deng is a scholar working on Artificial Intelligence, Industrial relations and Aerospace Engineering. According to data from OpenAlex, Yihe Deng has authored 2 papers receiving a total of 33 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 0 papers in Industrial relations and 0 papers in Aerospace Engineering. Recurrent topics in Yihe Deng’s work include Anomaly Detection Techniques and Applications (2 papers) and Adversarial Robustness in Machine Learning (2 papers). Yihe Deng is often cited by papers focused on Anomaly Detection Techniques and Applications (2 papers) and Adversarial Robustness in Machine Learning (2 papers). Yihe Deng collaborates with scholars based in United States and China. Yihe Deng's co-authors include Xiaosen Wang, Yichen Yang and Kun He and has published in prestigious journals such as arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Yihe Deng i

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Fields of papers citing papers by Yihe Deng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yihe Deng

Since Specialization

Citations

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