Wen‐Fang Wu

131 total papers · 1.4k total citations
80 papers, 1.0k citations indexed

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 80 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Statistics, Probability and Uncertainty, 24 papers in Mechanics of Materials and 18 papers in Mechanical Engineering. Recurrent topics in Wen‐Fang Wu's work include Probabilistic and Robust Engineering Design (25 papers), Fatigue and fracture mechanics (23 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 (25 papers), Fatigue and fracture mechanics (23 papers) and Magnetic and transport properties of perovskites and related materials (9 papers). Wen‐Fang Wu collaborates with scholars based in Taiwan, China and United States. Wen‐Fang Wu's co-authors include Lin Ye, Chow‐Shing Shin, J. G. Lin, Ying‐Chu Chen, Shien‐Kuei Liaw, Sih‐Li Chen, Yu‐Wei Chang, Yang‐Fang Chen, Chuen-Horng Tsai and Yin-Kuo Wang and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and Scientific Reports.

In The Last Decade

Wen‐Fang Wu

77 papers receiving 961 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Wen‐Fang Wu	411	370	263	261	99	80	1.0k
Zhili Sun	618 1.5×	184 0.5×	303 1.2×	297 1.1×	79 0.8×	46	1.0k
Lawrence A. Bergman	194 0.5×	224 0.6×	574 2.2×	287 1.1×	209 2.1×	65	1.2k
Noureddine Bouhaddi	283 0.7×	172 0.5×	652 2.5×	415 1.6×	212 2.1×	96	1.1k
Kai Willner	111 0.3×	619 1.7×	189 0.7×	490 1.9×	36 0.4×	94	1.1k
Yueming Li	78 0.2×	355 1.0×	270 1.0×	242 0.9×	31 0.3×	68	1.1k
Jacob Hochhalter	74 0.2×	448 1.2×	169 0.6×	569 2.2×	54 0.5×	65	1.1k
Z.G. Ying	170 0.4×	102 0.3×	868 3.3×	141 0.5×	44 0.4×	104	1.2k
Lars Beex	149 0.4×	717 1.9×	203 0.8×	310 1.2×	20 0.2×	42	1.1k
Yourui Tao	264 0.6×	261 0.7×	225 0.9×	364 1.4×	20 0.2×	67	826
J. Cante	40 0.1×	585 1.6×	414 1.6×	269 1.0×	29 0.3×	44	1.1k

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of Wen‐Fang Wu. A scholar is included among the top collaborators of Wen‐Fang Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wen‐Fang Wu. Wen‐Fang Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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