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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:

A survey on few-shot class-incremental learning
Songsong Tian, Lusi Li, Weijun Li, et al.
Neural Networks (2023) Vol. 169, pp. 307-324
Open Access | Times Cited: 60

Showing 1-25 of 60 citing articles:

Learning optimal inter-class margin adaptively for few-shot class-incremental learning via neural collapse-based meta-learning
Hang Ran, Weijun Li, Lusi Li, et al.
Information Processing & Management (2024) Vol. 61, Iss. 3, pp. 103664-103664
Open Access | Times Cited: 20
A novel blockchain-based digital forensics framework for preserving evidence and enabling investigation in industrial Internet of Things
Nan Xiao, Zhaoshun Wang, Xiaoxue Sun, et al.
Alexandria Engineering Journal (2023) Vol. 86, pp. 631-643
Open Access | Times Cited: 26
Enhancing few-shot image classification through learnable multi-scale embedding and attention mechanisms
Fatemeh Askari, Amirreza Fateh, Mohammad Reza Mohammadi
Neural Networks (2025) Vol. 187, pp. 107339-107339
Open Access | Times Cited: 1
A conditioned feature reconstruction network for few-shot classification
Bin Song, Hong Zhu, Yuandong Bi
Applied Intelligence (2024) Vol. 54, Iss. 8, pp. 6592-6605
Closed Access | Times Cited: 5
Optimization and evaluation of porous ablative composites driven by porosity distribution using neural networks
Haibo Xu, Lin Tian, Zeng-Yao Li
International Journal of Thermal Sciences (2025) Vol. 211, pp. 109714-109714
Closed Access
KDN: A class-added continual learning framework for cross-machine fault diagnosis with limited samples
Jipu Li, Ke Yue, Zhaoqian Wu, et al.
Mechanical Systems and Signal Processing (2025) Vol. 227, pp. 112379-112379
Closed Access
A novel loss function for early event detection based on infinite mixture prototypes for facial expressions
Zhifang Yang, Heng Chu
Pattern Recognition Letters (2025)
Closed Access
Prompt-based learning for few-shot class-incremental learning
Jingjie Yuan, Hang Chen, Songsong Tian, et al.
Alexandria Engineering Journal (2025) Vol. 120, pp. 287-295
Closed Access
Hyperdimensional Representation Learning for Node Classification and Link Prediction
Abhishek Dalvi, Vasant Honavar
(2025), pp. 88-97
Closed Access
The Application of Machine Learning and Optimisation Algorithm for Magnetorheological Damper Dynamics Behaviour: A Review
Mohd Syahril Ramadhan Mohd Saufi, Mat Hussin Ab Talib, Mohd Zain
Journal of Vibration Engineering & Technologies (2025) Vol. 13, Iss. 4
Closed Access
Recent Advances of Continual Learning in Computer Vision: An Overview
Haoxuan Qu, Hossein Rahmani, Li Xu, et al.
IET Computer Vision (2025) Vol. 19, Iss. 1
Open Access
An innovative study of category incremental learning algorithms for arrhythmia detection
Jianchao Feng, Yujuan Si, Yu Zhang, et al.
Knowledge-Based Systems (2025), pp. 113346-113346
Closed Access
Advances in meta-learning and zero-shot learning for multi-label classification: A review
Luis-Carlos Quiñonez-Baca, Graciela Ramírez-Alonso, Abimael Guzman‐Pando, et al.
Digital Signal Processing (2025), pp. 105220-105220
Closed Access
A prompt regularization approach to enhance few-shot class-incremental learning with Two-Stage Classifier
Meilan Hao, Y. T. Gu, Kejian Dong, et al.
Neural Networks (2025), pp. 107453-107453
Closed Access
A reliable and adaptive prediction framework for nuclear power plant system through an improved Transformer model and Bayesian uncertainty analysis
Xiao Xiao, Meiqi Song, Xiaojing Liu
Reliability Engineering & System Safety (2025), pp. 111076-111076
Closed Access
Multimodal Data Fusion for Tabular and Textual Data: Zero-Shot, Few-Shot, and Fine-Tuning of Generative Pre-Trained Transformer Models
Shadi Jaradat, Mohammed Elhenawy, Richi Nayak, et al.
AI (2025) Vol. 6, Iss. 4, pp. 72-72
Open Access
Continual learning in inertial measurement unit-based human activity recognition with user-centric class-incremental learning scenario
Suguru Kanoga, Yuya Tsukiji, Ryo Karakida
Expert Systems with Applications (2025) Vol. 280, pp. 127469-127469
Open Access
Integrating Synaptic Synergy Prompt and Optimized Prototype Classifiers to Enhance Few-Shot Class-Incremental Learning
Meilan Hao, Yong Cai, Xiaoqing Lv, et al.
(2025)
Closed Access
Ethnographic Records, Folklore, and Ai
Stelios Michalopoulos
SSRN Electronic Journal (2025)
Closed Access
Notion meta-learner: A technique for few-shot learning in music genre recognition
Jinhong Shi, Francisco Hernando-Gallego, Diego Martín, et al.
Entertainment Computing (2025) Vol. 54, pp. 100961-100961
Closed Access
Meta-XAI: Explainable AI Techniques for Meta Learners with Domain-wise Explanations of Sarcastic Text
Shraddha Vaidya, Jatinderkumar R. Saini
Procedia Computer Science (2025) Vol. 259, pp. 209-218
Open Access
Optimizing Supply Chain Management Through BO-CNN-LSTM for Demand Forecasting and Inventory Management
Rong Liu, Vinay Vakharia
Journal of Organizational and End User Computing (2024) Vol. 36, Iss. 1, pp. 1-25
Open Access | Times Cited: 3
Class similarity weighted knowledge distillation for few shot incremental learning
Feidu Akmel, Fanman Meng, Qingbo Wu, et al.
Neurocomputing (2024) Vol. 584, pp. 127587-127587
Closed Access | Times Cited: 3
A class-incremental learning approach for learning feature-compatible embeddings
Hongchao An, Jing Yang, Xiuhua Zhang, et al.
Neural Networks (2024) Vol. 180, pp. 106685-106685
Closed Access | Times Cited: 3
Barley disease recognition using deep neural networks
Masoud Rezaei, Sanjiv Gupta, Dean Diepeveen, et al.
European Journal of Agronomy (2024) Vol. 161, pp. 127359-127359
Open Access | Times Cited: 3
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