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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 deep learning in medicine: Why, how and when?
Francesco Piccialli, Vittorio Di Somma, Fabio Giampaolo, et al.
Information Fusion (2020) Vol. 66, pp. 111-137
Closed Access | Times Cited: 288

Showing 26-50 of 288 citing articles:

Influence on the accuracy in ChatGPT: Differences in the amount of information per medical field
Tatsuya Haze, Rina Kawano, Hajime Takase, et al.
International Journal of Medical Informatics (2023) Vol. 180, pp. 105283-105283
Open Access | Times Cited: 27
The past, current, and future of neonatal intensive care units with artificial intelligence: a systematic review
Elif Keleş, Ulaş Bağcı
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 23
Improving the forecasting accuracy of monthly runoff time series of the Brahmani River in India using a hybrid deep learning model
Sonali Swagatika, Jagadish Chandra Paul, Bibhuti Bhusan Sahoo, et al.
Journal of Water and Climate Change (2023) Vol. 15, Iss. 1, pp. 139-156
Open Access | Times Cited: 23
Analysis of a Deep Learning Model for 12-Lead ECG Classification Reveals Learned Features Similar to Diagnostic Criteria
Theresa Bender, Jacqueline Beinecke, Dagmar Krefting, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 4, pp. 1848-1859
Open Access | Times Cited: 22
Review of multimodal machine learning approaches in healthcare
Felix H. Krones, Umar Marikkar, Guy Parsons, et al.
Information Fusion (2024), pp. 102690-102690
Open Access | Times Cited: 10
Multi-task approach based on combined CNN-transformer for efficient segmentation and classification of breast tumors in ultrasound images
Jaouad Tagnamas, Hiba Ramadan, Ali Yahyaouy, et al.
Visual Computing for Industry Biomedicine and Art (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 9
TransSea: Hybrid CNN-Transformer with Semantic Awareness for 3D Brain Tumor Segmentation
Yü Liu, Yize Ma, Zhiqin Zhu, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 16-31
Closed Access | Times Cited: 8
Medical-informed machine learning: integrating prior knowledge into medical decision systems
Christel Sirocchi, Alessandro Bogliolo, Sara Montagna
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. S4
Open Access | Times Cited: 8
Artificial intelligence in rheumatology research: what is it good for?
José Miguel Sequí-Sabater, Diego Benavent
RMD Open (2025) Vol. 11, Iss. 1, pp. e004309-e004309
Open Access | Times Cited: 1
Exploring the Intersection of Machine Learning and Big Data: A Survey
Ηλίας Δρίτσας, Μαρία Τρίγκα
Machine Learning and Knowledge Extraction (2025) Vol. 7, Iss. 1, pp. 13-13
Open Access | Times Cited: 1
Machine learning applications on neuroimaging for diagnosis and prognosis of epilepsy: A review
Jie Yuan, Xuming Ran, Keyin Liu, et al.
Journal of Neuroscience Methods (2021) Vol. 368, pp. 109441-109441
Open Access | Times Cited: 54
Explainable framework for Glaucoma diagnosis by image processing and convolutional neural network synergy: Analysis with doctor evaluation
Ömer Deperlioğlu, Utku Köse, Deepak Gupta, et al.
Future Generation Computer Systems (2021) Vol. 129, pp. 152-169
Closed Access | Times Cited: 54
Artificial intelligence and healthcare: Forecasting of medical bookings through multi-source time-series fusion
Francesco Piccialli, Fabio Giampaolo, Edoardo Prezioso, et al.
Information Fusion (2021) Vol. 74, pp. 1-16
Closed Access | Times Cited: 47
A deep learning approach using graph convolutional networks for slope deformation prediction based on time-series displacement data
Zhengjing Ma, Gang Mei, Edoardo Prezioso, et al.
Neural Computing and Applications (2021) Vol. 33, Iss. 21, pp. 14441-14457
Open Access | Times Cited: 47
A Decision-Level Fusion Method for COVID-19 Patient Health Prediction
Abdu Gumaei, Walaa N. Ismail, Md. Rafiul Hassan, et al.
Big Data Research (2021) Vol. 27, pp. 100287-100287
Open Access | Times Cited: 46
Deep learning-based ambient assisted living for self-management of cardiovascular conditions
Maria Qureshi, Kashif Naseer Qureshi, Gwanggil Jeon, et al.
Neural Computing and Applications (2021) Vol. 34, Iss. 13, pp. 10449-10467
Open Access | Times Cited: 43
Fully-automated deep learning pipeline for segmentation and classification of breast ultrasound images
Alessandro Sebastian Podda, Riccardo Balia, Silvio Barra, et al.
Journal of Computational Science (2022) Vol. 63, pp. 101816-101816
Closed Access | Times Cited: 35
Embedded Machine Learning Using Microcontrollers in Wearable and Ambulatory Systems for Health and Care Applications: A Review
Maha S. Diab, Esther Rodriguez–Villegas
IEEE Access (2022) Vol. 10, pp. 98450-98474
Open Access | Times Cited: 34
GCW-UNet segmentation of cardiac magnetic resonance images for evaluation of left atrial enlargement
Kelvin K. L. Wong, An Zhang, Ke Yang, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 221, pp. 106915-106915
Closed Access | Times Cited: 33
Human-computer interaction based health diagnostics using ResNet34 for tongue image classification
Qingbin Zhuang, Senzhong Gan, Liangyu Zhang
Computer Methods and Programs in Biomedicine (2022) Vol. 226, pp. 107096-107096
Closed Access | Times Cited: 31
Effect of dataset size, image quality, and image type on deep learning-based automatic prostate segmentation in 3D ultrasound
Nathan Orlando, Igor Gyacskov, Derek J. Gillies, et al.
Physics in Medicine and Biology (2022) Vol. 67, Iss. 7, pp. 074002-074002
Open Access | Times Cited: 30
Diagnosing gastrointestinal diseases from endoscopy images through a multi-fused CNN with auxiliary layers, alpha dropouts, and a fusion residual block
Francis Jesmar P. Montalbo
Biomedical Signal Processing and Control (2022) Vol. 76, pp. 103683-103683
Closed Access | Times Cited: 28
Federated Learning for Healthcare Applications
Ahmad Chaddad, Yihang Wu, Christian Desrosiers
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 5, pp. 7339-7358
Closed Access | Times Cited: 21
A novel multimodal framework for early diagnosis and classification of COPD based on CT scan images and multivariate pulmonary respiratory diseases
Santosh Kumar, Vijesh Bhagat, Prakash Sahu, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 243, pp. 107911-107911
Closed Access | Times Cited: 17
KFPredict: An ensemble learning prediction framework for diabetes based on fusion of key features
Huamei Qi, Xiaomeng Song, Shengzong Liu, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 231, pp. 107378-107378
Closed Access | Times Cited: 16

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