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:

Meta-Health: Learning-to-Learn (Meta-learning) as a Next Generation of Deep Learning Exploring Healthcare Challenges and Solutions for Rare Disorders: A Systematic Analysis
Kuljeet Singh, Deepti Malhotra
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 7, pp. 4081-4112
Closed Access | Times Cited: 17

Showing 17 citing articles:

Meta-learning in Healthcare: A Survey
Alireza Rafiei, Ronald Moore, Sina Jahromi, et al.
SN Computer Science (2024) Vol. 5, Iss. 6
Closed Access | Times Cited: 4

The Future of Diabetes Management
M. Hassan
Advances in healthcare information systems and administration book series (2025), pp. 383-424
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

New Business Models for Meta-Health
Sonali Vyas, Sunil Gupta, Abhishek Tyagi
(2025), pp. 163-181
Closed Access

Meta-Health Data Privacy and Security
Sonali Vyas, Sunil Gupta, Abhishek Tyagi
(2025), pp. 113-141
Closed Access

Mimicking Healthcare in Meta-Health
Sonali Vyas, Sunil Gupta, Abhishek Tyagi
(2025), pp. 143-161
Closed Access

Bioinformatics in Agriculture and Ecology Using Few-Shots Learning From Field to Conservation
Jayashri Prashant Shinde, Smitha Nayak, Deepika Ajalkar, et al.
Advances in bioinformatics and biomedical engineering book series (2024), pp. 27-38
Closed Access | Times Cited: 3

Classification and Regression Using Automatic Machine Learning (AutoML) – Open Source Code for Quick Adaptation and Comparison
Oğuzhan Topsakal, Tahir Çetin Akıncı
Balkan Journal of Electrical and Computer Engineering (2023) Vol. 11, Iss. 3, pp. 257-261
Open Access | Times Cited: 9

Integrating Machine Learning in Metabolomics: A Path to Enhanced Diagnostics and Data Interpretation
Yudian Xu, Linlin Cao, Yifan Chen, et al.
Small Methods (2024)
Closed Access | Times Cited: 2

Multisource working condition recognition via nonlinear kernel learning and p-Laplacian manifold learning
Bin Zhou, Rui Niu, Shuo Yang, et al.
Heliyon (2024) Vol. 10, Iss. 5, pp. e26436-e26436
Open Access | Times Cited: 1

An Empirical Study of Meta Learning for Medical Image Segmentation with Transfer Learning
Mayank Trivedi, Ruchika, Pronab Kumar Adhikari, et al.
(2024), pp. 857-862
Closed Access | Times Cited: 1

Design and Development of Cognitive Training Systems Based on Extended Reality and BCI Technology
Pei-Jung Lin, Hsiu-Chien Ku, Li-Lun Lin
(2024), pp. 4-7
Closed Access

IRAM–NET model: image residual agnostics meta-learning-based network for rare de novo glioblastoma diagnosis
Kuljeet Singh, Deepti Malhotra
Neural Computing and Applications (2024) Vol. 36, Iss. 34, pp. 21465-21485
Closed Access

Improving Access Trust in Healthcare Through Multimodal Deep Learning for Affective Computing
I. Sakthidevi, G. Fathima
Human-Centric Intelligent Systems (2024) Vol. 4, Iss. 4, pp. 511-526
Open Access

Scaling Siamese Neural Network for Cross-Domain Few Shot Learning in Medical Imaging
Jinan Fiaidhi, Sabah Mohammed
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 6446-6451
Closed Access

Meta-learning in healthcare: A survey
Alireza Rafiei, Ronald Moore, Sina Jahromi, et al.
arXiv (Cornell University) (2023)
Open Access

Learning to Classify Cough Sounds with Dictionary-Guided Meta-Learning
Ngan Dao Hoang, Dat Tran-Anh, Tien-Dung Do, et al.
2022 RIVF International Conference on Computing and Communication Technologies (RIVF) (2023), pp. 254-259
Closed Access

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