Long Feng

66 papers and 597 indexed citations i.

About

Long Feng is a scholar working on Statistics and Probability, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Long Feng has authored 66 papers receiving a total of 597 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Statistics and Probability, 11 papers in Electrical and Electronic Engineering and 9 papers in Artificial Intelligence. Recurrent topics in Long Feng’s work include Statistical Methods and Inference (20 papers), Advanced Statistical Methods and Models (13 papers) and Spatial and Panel Data Analysis (7 papers). Long Feng is often cited by papers focused on Statistical Methods and Inference (20 papers), Advanced Statistical Methods and Models (13 papers) and Spatial and Panel Data Analysis (7 papers). Long Feng collaborates with scholars based in China, United States and Taiwan. Long Feng's co-authors include Changliang Zou, Zhaojun Wang, L.C. Tsao, Shih‐Ying Chang, Tung‐Han Chuang, H.K. Lin, Lixing Zhu, Lina Yao, Lina Yao and Jiwen Liu and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Materials Science and Engineering A.

In The Last Decade

Co-authorship network of co-authors of Long Feng i

Fields of papers citing papers by Long Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Long Feng

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025