Articles published in Journal of Biometrics & Biostatistics have been cited by esteemed scholars and scientists all around the world.
Journal of Biometrics & Biostatistics has got h-index 15, which means every article in Journal of Biometrics & Biostatistics has got 15 average citations.
Following are the list of articles that have cited the articles published in Journal of Biometrics & Biostatistics.
Journal total citations count | 3254 |
Journal impact factor | 2.7 |
Journal 5 years impact factor | 3.19 |
Journal cite score | 3.56 |
Journal h-index | 15 |
Journal h-index since 2018 | 22 |
New Possible Targetable Genes for Future Treatment of Mixed Lineage Leukemia |
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Changes in Blood Pressure and Heart Rate Measurement Undergraduate Students During Exam Period |
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Smart criminal justice: Phenomena and normative requirements |
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Analysis of Gaucher Disease Responsible Genes in Colorectal Adenocarcinoma |
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Fairness in Biometrics: a figure of merit to assess biometric verification systems |
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Classification of Demographic Attributes from Facial Image by using CNN |
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Face Verification Across Age Progression using Enhanced Convolution Neural Network |
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"Comparison of the Hemoglobin Amount between Old and Young Persons in Bosnia and Herzegovina " |
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Comparison of MLL Fusion Genes Expression among the Cytogenetics Abnormalities of Acute Myeloid Leukemia and Their Clinical Effects |
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A Survey of Biometric Recognition Using Deep Learning |
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A Study of Gender Bias in Face Presentation Attack and Its Mitigation |
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Depiction of ethnic facial aging by forensic artists and preliminary assessment of the applicability of facial averages |
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Face Recognition by Humans and Machines: Three Fundamental Advances from Deep Learning |
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Responsible AI: Gender bias assessment in emotion recognition |
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Predictive reliability and validity of hospital cost analysis with dynamic neural network and genetic algorithm |
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Fairness in Biometrics: a figure of merit to assess biometric verification systems |
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Robustness Disparities in Commercial Face Detection |
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Facial Expressions as a Vulnerability in Face Recognition |
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QUANTIFYING THE EXTENT TO WHICH POPULAR PRE-TRAINED CONVOLUTIONAL NEURAL NETWORKS IMPLICITLY LEARN HIGH-LEVEL PROTECTED ATTRIBUTES |
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Predictive Modeling of Trait-Aging Invariant Face Recognition System Using Machine Learning |
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Journal of Biometrics & Biostatistics received 3254 citations as per Google Scholar report