Fong‐Jung Yu

47 total papers · 413 total citations
35 papers, 336 citations indexed

About

Fong‐Jung Yu is a scholar working on Statistics, Probability and Uncertainty, Industrial and Manufacturing Engineering and Management Information Systems. According to data from OpenAlex, Fong‐Jung Yu has authored 35 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Statistics, Probability and Uncertainty, 10 papers in Industrial and Manufacturing Engineering and 9 papers in Management Information Systems. Recurrent topics in Fong‐Jung Yu's work include Advanced Statistical Process Monitoring (29 papers), Manufacturing Process and Optimization (9 papers) and Scientific Measurement and Uncertainty Evaluation (9 papers). Fong‐Jung Yu is often cited by papers focused on Advanced Statistical Process Monitoring (29 papers), Manufacturing Process and Optimization (9 papers) and Scientific Measurement and Uncertainty Evaluation (9 papers). Fong‐Jung Yu collaborates with scholars based in Taiwan, Singapore and Malaysia. Fong‐Jung Yu's co-authors include Zhang Wu, Jiang‐Liang Hou, Chinyao Low, Michael B. C. Khoo, Chih‐Ming Hsu, Salah Haridy, Mei Yang, A.H.M.A. Rahim, Mohammad Shamsuzzaman and Yanjing Ou and has published in prestigious journals such as European Journal of Operational Research, International Journal of Production Research and Computers & Industrial Engineering.

In The Last Decade

Fong‐Jung Yu

32 papers receiving 324 citations

Author Peers

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

Author Last Decade Papers Cites
Fong‐Jung Yu 286 137 69 59 49 35 336
Chau‐Chen Torng 280 1.0× 125 0.9× 54 0.8× 78 1.3× 34 0.7× 23 356
V. Kuralmani 300 1.0× 140 1.0× 50 0.7× 68 1.2× 44 0.9× 13 313
Anan Tang 325 1.1× 168 1.2× 86 1.2× 48 0.8× 22 0.4× 32 340
Yanjing Ou 352 1.2× 160 1.2× 106 1.5× 46 0.8× 18 0.4× 22 398
Bartholomew P.K. Leung 200 0.7× 76 0.6× 63 0.9× 82 1.4× 53 1.1× 21 326
To‐Cheng Wang 362 1.3× 116 0.8× 68 1.0× 94 1.6× 123 2.5× 39 397
Ali Hussein AL-Marshadi 228 0.8× 160 1.2× 48 0.7× 92 1.6× 22 0.4× 42 321
V. Soundararajan 264 0.9× 97 0.7× 49 0.7× 112 1.9× 110 2.2× 44 381
P. C. Lin 336 1.2× 128 0.9× 48 0.7× 153 2.6× 96 2.0× 21 393
Thomas P. McWilliams 219 0.8× 133 1.0× 18 0.3× 93 1.6× 49 1.0× 25 393

Countries citing papers authored by Fong‐Jung Yu

Since Specialization
Citations

This map shows the geographic impact of Fong‐Jung Yu'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 Fong‐Jung Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fong‐Jung Yu more than expected).

Fields of papers citing papers by Fong‐Jung Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fong‐Jung Yu. 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 Fong‐Jung Yu. The network helps show where Fong‐Jung Yu may publish in the future.

Co-authorship network of co-authors of Fong‐Jung Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Fong‐Jung Yu. A scholar is included among the top collaborators of Fong‐Jung Yu 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 Fong‐Jung Yu. Fong‐Jung Yu 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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