On ψ-Learning

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Cite
Shen, Xiaotong, et al. “On ψ-Learning”. Journal of the American Statistical Association, vol. 98, no. 463, 2003, pp. 724-3, https://doi.org/10.1198/016214503000000639.
Shen, X., Tseng, G. C., Zhang, X., & Wong, W. H. (2003). On ψ-Learning. Journal of the American Statistical Association, 98(463), 724-734. https://doi.org/10.1198/016214503000000639
Shen, Xiaotong, George C Tseng, Xuegong Zhang, and Wing Hung Wong. “On ψ-Learning”. Journal of the American Statistical Association 98, no. 463 (2003): 724-34. https://doi.org/10.1198/016214503000000639.
Shen X, Tseng GC, Zhang X, Wong WH. On ψ-Learning. Journal of the American Statistical Association. 2003;98(463):724-3.
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Mathematics
Science
Mathematics
Probabilities
Mathematical statistics
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Citations Analysis
Category Category Repetition
Science: Mathematics63
Science: Mathematics: Probabilities. Mathematical statistics53
Science: Mathematics: Instruments and machines: Electronic computers. Computer science36
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics23
Technology: Mechanical engineering and machinery22
Technology: Engineering (General). Civil engineering (General)20
Technology: Manufactures: Production management. Operations management16
Science: Biology (General)8
Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods8
Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry7
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks7
Technology: Technology (General): Industrial engineering. Management engineering: Information technology6
Science: Science (General): Cybernetics: Information theory6
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software6
Medicine: Medicine (General): Computer applications to medicine. Medical informatics6
Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication4
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware4
Technology: Technology (General): Industrial engineering. Management engineering3
Science: Physics3
Social Sciences3
Technology: Engineering (General). Civil engineering (General): Mechanics of engineering. Applied mechanics2
Medicine: Medicine (General)2
Medicine: Medicine (General): Medical technology2
Bibliography. Library science. Information resources2
Bibliography. Library science. Information resources: Information resources (General)2
Social Sciences: Commerce: Business: Accounting. Bookkeeping2
Social Sciences: Finance2
Science1
Geography. Anthropology. Recreation: Environmental sciences1
Science: Geology1
Geography. Anthropology. Recreation: Geography (General)1
Technology: Photography1
Science: Astronomy: Astrophysics1
Medicine: Internal medicine: Special situations and conditions: Industrial medicine. Industrial hygiene1
Science: Chemistry: Organic chemistry: Biochemistry1
Science: Chemistry: Analytical chemistry1
Social Sciences: Commerce: Business: Personnel management. Employment management1
The category Science: Mathematics 63 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled A note on margin-based loss functions in classification and was published in 2004. The most recent citation comes from a 2024 study titled Variable selection in multivariate regression models with measurement error in covariates. This article reached its peak citation in 2017, with 10 citations. It has been cited in 60 different journals, 5% of which are open access. Among related journals, the Journal of the American Statistical Association cited this research the most, with 11 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year