OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Short-term feeding behaviour sound classification method for sheep using LSTM networks
Guanghui Duan, Shengfu Zhang, Mingzhou Lu, et al.
International journal of agricultural and biological engineering (2021) Vol. 14, Iss. 2, pp. 43-54
Open Access | Times Cited: 15

Showing 15 citing articles:

A Recognition Method of Ewe Estrus Crawling Behavior Based on Multi-Target Detection Layer Neural Network
Longhui Yu, Jianjun Guo, Yuhai Pu, et al.
Animals (2023) Vol. 13, Iss. 3, pp. 413-413
Open Access | Times Cited: 19

Review of deep learning-based methods for non-destructive evaluation of agricultural products
Zhenye Li, Dongyi Wang, Tingting Zhu, et al.
Biosystems Engineering (2024) Vol. 245, pp. 56-83
Closed Access | Times Cited: 7

Livestock feeding behaviour: A review on automated systems for ruminant monitoring
José O. Chelotti, Luciano S. Martinez-Rau, Mariano Ferrero, et al.
Biosystems Engineering (2024) Vol. 246, pp. 150-177
Open Access | Times Cited: 6

Automated identification of chicken distress vocalizations using deep learning models
Axiu Mao, Claire Giraudet, Kai Liu, et al.
Journal of The Royal Society Interface (2022) Vol. 19, Iss. 191
Open Access | Times Cited: 27

A Lightweight Neural Network-Based Method for Detecting Estrus Behavior in Ewes
Longhui Yu, Yuhai Pu, Honglei Cen, et al.
Agriculture (2022) Vol. 12, Iss. 8, pp. 1207-1207
Open Access | Times Cited: 17

Identification of oestrus cows based on vocalisation characteristics and machine learning technique using a dual-channel-equipped acoustic tag
Jun Wang, Haoran Chen, Jianping Wang, et al.
animal (2023) Vol. 17, Iss. 6, pp. 100811-100811
Open Access | Times Cited: 7

Leaf‐density estimation for fruit‐tree canopy based on wind‐excited audio
Wenwei Li, Shijie Jiang, Shenghui Yang, et al.
Journal of Field Robotics (2024) Vol. 41, Iss. 5, pp. 1469-1479
Closed Access | Times Cited: 2

Is Deep Learning useful for decision making in pig production?
Yun Bao, Pol Llagostera, Lluís M. Plà‐Aragonès
Internet of Things (2024) Vol. 26, pp. 101229-101229
Open Access | Times Cited: 2

Multiple Sclerosis Recognition by Biorthogonal Wavelet Features and Fitness-Scaled Adaptive Genetic Algorithm
Shuihua Wang‎, Xianwei Jiang, Yudong Zhang
Frontiers in Neuroscience (2021) Vol. 15
Open Access | Times Cited: 12

Sound-Based Improved DenseNet Conveyor Belt Longitudinal Tear Detection
Di Miao, Yimin Wang, Shixin Li
IEEE Access (2022) Vol. 10, pp. 123801-123808
Open Access | Times Cited: 8

AudioRepInceptionNeXt: A lightweight single-stream architecture for efficient audio recognition
Kin Wai Lau, Yasar Abbas Ur Rehman, Lai-Man Po
Neurocomputing (2024) Vol. 578, pp. 127432-127432
Open Access | Times Cited: 1

Recognition of Sheep Feeding Behavior in Sheepfolds Using Fusion Spectrogram Depth Features and Acoustic Features
Youxin Yu, Wenbo Zhu, Xiaoli Ma, et al.
Animals (2024) Vol. 14, Iss. 22, pp. 3267-3267
Open Access | Times Cited: 1

Deep learning method for leaf-density estimation based on wind-excited audio of fruit-tree canopies
Wenwei Li, Shenghui Yang, Hangxing Zhao, et al.
Computers and Electronics in Agriculture (2024) Vol. 222, pp. 109062-109062
Closed Access

Automated identification of steel weld defects, a convolutional neural network improved machine learning approach
Zhan Shu, Ao Wu, Yuning Si, et al.
Frontiers of Structural and Civil Engineering (2024) Vol. 18, Iss. 2, pp. 294-308
Closed Access

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