代表论文：
1. Xiao J, Tian J, Lu G , Peng Y, et al. Comprehensive Evaluation of Forage Provision on the Serum Biochemical Indicators, Behavior and Health of Dairy Calves[J]. Journal of Agricultural and Food Chemistry, 2025. （中科院Top1区）
2. Peng Y*, Chen Y, Yang Y, et al. A multimodal classification method: Cow behavior pattern classification with improved EdgeNeXt using an inertial measurement unit[J]. Computers and Electronics in Agriculture, 2024, 226109453-109453. （中科院Top1区）
3. Peng Y*, Peng Z, Zou H, et al. A dynamic individual yak heifer live body weight estimation method using the YOLOv8 network and body parameter detection algorithm[J]. Journal of Dairy Science, 2024, 107(8):6178-6191.（中科院Top1区）
4. Xiao J, Tian J, Peng Y, et al. Effects of forage feeding to calves on performance, rumen fermentation and nutrient digestibility: A meta-analysis[J]. Journal of Dairy Science, 2024, 108(1):430-447. （中科院Top1区）
5. Yang Y, Deng Y, Li J, Peng Y*, et al. An Effective Yak Behavior Classification Model with Improved YOLO-Pose Network Using Yak Skeleton Key Points Images[J]. Agriculture, 2024, 14 (10): 1796-1796.
6. Peng Y*, Wulandari, Kondo N, et al Japanese Black cattle call patterns classification using multiple acoustic features and machine learning models[J]. Computers and Electronics in Agriculture, 2023, 204. （中科院Top1区）
7. Liu M , Wu Y , Li G , Peng Y*, et al. Classification of cow behavior patterns using inertial measurement units and a fully convolutional network model[J]. Journal of Dairy Science, 2023, 106(2):1351-1359. （中科院Top1区）
8. Wu Y, Liu M, Peng Z, Peng Y*, et al. Recognising Cattle Behaviour with Deep Residual Bidirectional LSTM Model Using a Wearable Movement Monitoring Collar[J]. Agriculture, 2022, 12 (8): 1237-1237.
9. Peng Y*, Kondo N, Fujiura T, et al. Dam behavior patterns in Japanese black beef cattle prior to calving: Automated detection using LSTM-RNN[J]. Computers and Electronics in Agriculture, 2020, 169105178-105178. （中科院Top1区）
10. Peng Y*, Kondo N, Fujiura T, et al. Classification of multiple cattle behavior patterns using a recurrent neural network with long short-term memory and inertial measurement units [J]. Computers and Electronics in Agriculture, 2019, 157.247-253.（中科院Top1区）
