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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:

Few-shot imbalanced classification based on data augmentation
Xuewei Chao, Lixin Zhang
Multimedia Systems (2021) Vol. 29, Iss. 5, pp. 2843-2851
Closed Access | Times Cited: 49

Showing 1-25 of 49 citing articles:

A survey of few-shot learning in smart agriculture: developments, applications, and challenges
Jiachen Yang, Xiaolan Guo, Yang Li, et al.
Plant Methods (2022) Vol. 18, Iss. 1
Open Access | Times Cited: 103
A CNN-BiLSTM-Attention approach for EHA degradation prediction based on time-series generative adversarial network
Zhonghai Ma, Yiwen Sun, Hui Ji, et al.
Mechanical Systems and Signal Processing (2024) Vol. 215, pp. 111443-111443
Closed Access | Times Cited: 19
Few-shot cotton leaf spots disease classification based on metric learning
Xihuizi Liang
Plant Methods (2021) Vol. 17, Iss. 1
Open Access | Times Cited: 57
Distance-Entropy: An Effective Indicator for Selecting Informative Data
Yang Li, Xuewei Chao
Frontiers in Plant Science (2022) Vol. 12
Open Access | Times Cited: 56
Disturbed-entropy: A simple data quality assessment approach
Yang Li, Xuewei Chao, Sezai Erċışlı
ICT Express (2022) Vol. 8, Iss. 3, pp. 309-312
Open Access | Times Cited: 44
Toward Sustainability: Trade-Off Between Data Quality and Quantity in Crop Pest Recognition
Yang Li, Xuewei Chao
Frontiers in Plant Science (2021) Vol. 12
Open Access | Times Cited: 49
Data-efficient crop pest recognition based on KNN distance entropy
Yang Li, Sezai Erċışlı
Sustainable Computing Informatics and Systems (2023) Vol. 38, pp. 100860-100860
Closed Access | Times Cited: 21
IPORF: A combined improved parrot optimizer algorithm and random forest for fault diagnosis in AUV
Kangzheng Huang, Wei Bo Li, Fang Hualiang, et al.
Ocean Engineering (2024) Vol. 313, pp. 119665-119665
Closed Access | Times Cited: 7
A compression strategy to accelerate LSTM meta-learning on FPGA
NianYi Wang, Jing Nie, Jingbin Li, et al.
ICT Express (2022) Vol. 8, Iss. 3, pp. 322-327
Open Access | Times Cited: 25
Towards open-world recognition: Critical problems and challenges
Ke Wang, Zhikang Li, Chen Yang, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 143, pp. 110042-110042
Closed Access
Social bot detection using variational generative adversarial networks with hidden Markov models in Twitter network
Greeshma Lingam, Sajal K. Das
Knowledge-Based Systems (2025), pp. 113019-113019
Closed Access
Few-shot Learning: Methods and Applications
Jiaxiang Li, Mingyang Li
ITM Web of Conferences (2025) Vol. 70, pp. 02012-02012
Open Access
Adaptive multi-task convolutional neural network for optical performance monitoring
Qinghui Zeng, Yibu Kong, Peng Zhou, et al.
Optics Communications (2025), pp. 131702-131702
Closed Access
Semantic Web-Based Small Sample Data Recommendation Algorithm Using Weighted Mutual Information
Lifeng Liu, Qinneng Xu, Xuxia Zhao, et al.
International Journal on Semantic Web and Information Systems (2025) Vol. 21, Iss. 1, pp. 1-27
Open Access
Multiple adaptive over-sampling for imbalanced data evidential classification
Zhen Zhang, Hongpeng Tian, Jin-shuai Jin
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108532-108532
Closed Access | Times Cited: 3
Meta-learning prediction of physical and chemical properties of magnetized water and fertilizer based on LSTM
Jing Nie, Nianyi Wang, Jingbin Li, et al.
Plant Methods (2021) Vol. 17, Iss. 1
Open Access | Times Cited: 21
Majority-to-minority resampling for boosting-based classification under imbalanced data
Gaoshan Wang, Jian Wang, Kejing He
Applied Intelligence (2022) Vol. 53, Iss. 4, pp. 4541-4562
Closed Access | Times Cited: 15
Monitoring Endangered and Rare Wildlife in the Field: A Foundation Deep Learning Model Integrating Human Knowledge for Incremental Recognition with Few Data and Low Cost
Chao Mou, Aokang Liang, Chunying Hu, et al.
Animals (2023) Vol. 13, Iss. 20, pp. 3168-3168
Open Access | Times Cited: 7
Artificial Intelligence-Based Detection of Light Points: An Aid for Night-Time Visibility Observations
Zuzana Gáborčíková, Juraj Bartók, Irina Malkin Ondík, et al.
Atmosphere (2024) Vol. 15, Iss. 8, pp. 890-890
Open Access | Times Cited: 2
Numerical computation based few-shot learning for intelligent sea surface temperature prediction
Zhengjian Li, Jingyi He, Tianlei Ni, et al.
Multimedia Systems (2022) Vol. 29, Iss. 5, pp. 3001-3013
Closed Access | Times Cited: 9
An adaptive Bagging algorithm based on lightweight transformer for multi-class imbalance recognition
Junyi Wang, Xuezheng Jiang, Hailian Liu, et al.
Multimedia Systems (2024) Vol. 30, Iss. 2
Closed Access | Times Cited: 1
Llmovertab: Tabular Data Augmentation with Language Model-Driven Oversampling
Tokimasa Isomura, Ryotaro Shimizu, Masayuki Goto
(2024)
Closed Access | Times Cited: 1
Ultrafast‐and‐Ultralight ConvNet‐Based Intelligent Monitoring System for Diagnosing Early‐Stage Mpox Anytime and Anywhere
Yubiao Yue, Xiaoqiang Shi, Qin Li, et al.
Advanced Intelligent Systems (2024)
Open Access | Times Cited: 1
Ozone exceedance forecasting with enhanced extreme instance augmentation: A case study in Germany
Tuo Deng, Astrid Manders, Arjo Segers, et al.
Environmental Modelling & Software (2024) Vol. 181, pp. 106162-106162
Open Access | Times Cited: 1
A load classification method based on data augmentation and few‐shot machine learning
Haoran Liu, Huaqiang Li, Xueying Yu, et al.
IET Renewable Power Generation (2024)
Open Access | Times Cited: 1
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