Wen‐Fang Wu

72 papers and 917 indexed citations i.

About

Wen‐Fang Wu is a scholar working on Statistics, Probability and Uncertainty, Mechanics of Materials and Mechanical Engineering. According to data from OpenAlex, Wen‐Fang Wu has authored 72 papers receiving a total of 917 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Statistics, Probability and Uncertainty, 22 papers in Mechanics of Materials and 16 papers in Mechanical Engineering. Recurrent topics in Wen‐Fang Wu’s work include Probabilistic and Robust Engineering Design (24 papers), Fatigue and fracture mechanics (21 papers) and Magnetic and transport properties of perovskites and related materials (9 papers). Wen‐Fang Wu is often cited by papers focused on Probabilistic and Robust Engineering Design (24 papers), Fatigue and fracture mechanics (21 papers) and Magnetic and transport properties of perovskites and related materials (9 papers). Wen‐Fang Wu collaborates with scholars based in Taiwan, United States and China. Wen‐Fang Wu's co-authors include Lin Ye, Chow‐Shing Shin, J. G. Lin, Shien‐Kuei Liaw, Ying‐Chu Chen, Chun‐Liang Lai, Chuen-Horng Tsai, Yu‐Wei Chang, Yang‐Fang Chen and Sih‐Li Chen and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Wen‐Fang Wu i

Fields of papers citing papers by Wen‐Fang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wen‐Fang Wu. 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 Wen‐Fang Wu. The network helps show where Wen‐Fang Wu may publish in the future.

Countries citing papers authored by Wen‐Fang Wu

Since Specialization
Citations

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