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Author

Ye Bi

Observed names: Bi, Ye, Y. Bi
Observed institutions: Iowa State University, Chinese Academy of Agricultural Sciences, Institute of Animal Sciences, State Key Laboratory of Animal Nutrition, University of California, Davis, Virginia Tech
ORCID: 0000-0001-7871-5856
Observed ORCID: 0000-0001-7871-5856
OpenAlex ID: A5071439569
An atlas of regulatory elements in chicken: A resource for chicken genetics and genomics
2023 · Zhangyuan Pan, Ying Wang, et al. · Science Advances · 85
Review of sheep breeding and genetic research in Türkiye
2024 · Kenan Burak Aydin, Ye Bi, et al. · Frontiers in Genetics · 40
Depth video data-enabled predictions of longitudinal dairy cow body weight using thresholding and Mask R-CNN algorithms
2023 · Ye Bi, Leticia M. Campos, et al. · Smart Agricultural Technology · 23
Automated acquisition of top-view dairy cow depth image data using an RGB-D sensor camera
2022 · Robert Kadlec, Sam Indest, et al. · Translational Animal Science · 17
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Effects of dietary threonine and immune stress on growth performance, carcass trait, serum immune parameters, and intestinal muc2 and NF-κb gene expression in Pekin ducks from hatch to 21 days
2017 · Y. Bi, X.M. Nan, et al. · Poultry Science · 17
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Leveraging genomics and temporal high‐throughput phenotyping to enhance association mapping and yield prediction in sesame
2024 · Idan Sabag, Ye Bi, et al. · The Plant Genome · 15
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Multi-environment analysis enhances genomic prediction accuracy of agronomic traits in sesame
2023 · Idan Sabag, Ye Bi, et al. · Frontiers in Genetics · 14
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Industry-scale prediction of video-derived pig body weight using efficient convolutional neural networks and vision transformers
2025 · Ye Bi, Yijian Huang, et al. · Biosystems Engineering · 10
Predicting Dairy Calf Body Weight from Depth Images Using Deep Learning (YOLOv8) and Threshold Segmentation with Cross-Validation and Longitudinal Analysis
2025 · Mingsi Liao, Gota Morota, et al. · Animals · 10
Functional annotation of regulatory elements in rainbow trout uncovers roles of the epigenome in genetic selection and genome evolution
2024 · Mohamed Salem, Rafet Al-Tobasei, et al. · GigaScience · 9
Evaluating metabolic and genomic data for predicting grain traits under high night temperature stress in rice
2023 · Ye Bi, Rafael Massahiro Yassue, et al. · G3 Genes Genomes Genetics · 7
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465 Comparative analysis of semantic segmentation and deep regression models with supervised pre-training for accurate prediction of pig body weight from video data: Insights from industry-scale datasets
2024 · Ye Bi, Jianhua Xuan, et al. · Journal of Animal Science · 3
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Genomic prediction of metabolic content in rice grain in response to warmer night conditions
2024 · Ye Bi, Harkamal Walia, et al. · Crop Science · 2
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Depth video data-enabled predictions of longitudinal dairy cow body weight using thresholding and Mask R-CNN algorithms
2023 · Bi, Ye, Campos, Leticia M., et al. · arXiv (Cornell University) · 2
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88 The impact of trait measurement error on quantitative genetic analysis
2024 · Ye Bi, Yijian Huang, et al. · Journal of Animal Science · 1
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Cell phone image analysis as a proxy for laboratory egg quality measurements
2026 · Anna Wolc, Usamah Kabuye, et al. · Poultry Science
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Impact of Trait Measurement Error on Quantitative Genetic Analysis of Computer Vision-Derived Traits
2026 · Ye Bi, Yijian Huang, et al. · Genes
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Non-Invasive Pig Weight Prediction using SAM-Enhanced Deep Learning and Depth Imaging
2025 · Sanjana Bharadwaj, Pranjal Ranjan, et al. · IEEE SoutheastCon
151 Depth Video Data-Enabled Predictions of Longitudinal Dairy Cow Body Weight Using Thresholding and Mask R-Cnn Algorithms
2023 · Ye Bi, Leticia Campos, et al. · Journal of Animal Science
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593. Functional annotations of regulatory elements in the chicken genome
2022 · Z. Pan, Y. Wang, et al. · World Congress on Genetics Applied to Livestock Production (WCGALP)
PSIV-A-8 Development of Automated Computer Vision Systems for Evaluating Dairy cow Body Weight and Body Condition Scores
2022 · Ye Bi, Robert Kadlec, et al. · Journal of Animal Science
Works count: 21
Citation count: 255
H-index: 9
I10-index: 9
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