Ethan X. Fang

23 papers and 369 indexed citations i.

About

Ethan X. Fang is a scholar working on Statistics and Probability, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Ethan X. Fang has authored 23 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Statistics and Probability, 6 papers in Artificial Intelligence and 6 papers in Computational Mechanics. Recurrent topics in Ethan X. Fang’s work include Statistical Methods and Inference (8 papers), Sparse and Compressive Sensing Techniques (6 papers) and Stochastic Gradient Optimization Techniques (4 papers). Ethan X. Fang is often cited by papers focused on Statistical Methods and Inference (8 papers), Sparse and Compressive Sensing Techniques (6 papers) and Stochastic Gradient Optimization Techniques (4 papers). Ethan X. Fang collaborates with scholars based in United States, Hong Kong and China. Ethan X. Fang's co-authors include Mengdi Wang, Han Liu, Yang Ning, Han Liu, Xiaoming Yuan, Bingsheng He, Han Liu, Ji Liu, Michael Rosenblum and Runze Li and has published in prestigious journals such as Nature Communications, Journal of the American Statistical Association and Biometrics.

In The Last Decade

Co-authorship network of co-authors of Ethan X. Fang i

Fields of papers citing papers by Ethan X. Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ethan X. Fang. 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 Ethan X. Fang. The network helps show where Ethan X. Fang may publish in the future.

Countries citing papers authored by Ethan X. Fang

Since Specialization
Citations

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