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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:

Early myocardial infarction detection over multi-view echocardiography
Aysen Degerli, Serkan Kıranyaz, Tahir Hamid, et al.
Biomedical Signal Processing and Control (2023) Vol. 87, pp. 105448-105448
Open Access | Times Cited: 18

Showing 18 citing articles:

FedHNR: Federated hierarchical resilient learning for echocardiogram segmentation with annotation noise
Yiwen Wang, Wanli Ding, W.H. Lin, et al.
Expert Systems with Applications (2025), pp. 126841-126841
Closed Access | Times Cited: 1
External validation of a deep learning algorithm for automated echocardiographic strain measurements
Peder L. Myhre, Chung‐Lieh Hung, Matthew Frost, et al.
European Heart Journal - Digital Health (2023) Vol. 5, Iss. 1, pp. 60-68
Open Access | Times Cited: 11
SPEMix: a lightweight method via superclass pseudo-label and efficient mixup for echocardiogram view classification
Shoudong Ma, Yifeng Zhang, Delong Li, et al.
Frontiers in Artificial Intelligence (2025) Vol. 7
Open Access
One-Shot Medical Video Object Segmentation via Temporal Contrastive Memory Networks
Yaxiong Chen, Junjian Hu, Chunlei Li, et al.
Lecture notes in computer science (2025), pp. 241-251
Closed Access
A Light-Weight Universal Medical Segmentation Network for Laptops Based on Knowledge Distillation
Songxiao Yang, Yizhou Li, Ye Chen, et al.
Lecture notes in computer science (2025), pp. 83-100
Closed Access
Machine Learning and Deep Learning Methods for Fast and Accurate Assessment of Transthoracic Echocardiogram Image Quality
Wojciech Nazar, Krzysztof Nazar, Ludmiła Daniłowicz‐Szymanowicz
Life (2024) Vol. 14, Iss. 6, pp. 761-761
Open Access | Times Cited: 2
Deep learning-based approaches for myocardial infarction detection: A comprehensive review recent advances and emerging challenges
Elshafey Radwa, Ridha Hamila, Fayçal Bensaali
Medicine in Novel Technology and Devices (2024) Vol. 23, pp. 100322-100322
Open Access | Times Cited: 2
Early Myocardial Infarction Detection with One-Class Classification over Multi-view Echocardiography
Aysen Degerli, Fahad Sohrab, Serkan Kıranyaz, et al.
Computing in cardiology (2022)
Open Access | Times Cited: 7
Cardiac Ultrasonic Tissue Characterization in Myocardial Infarction Based on Deep Transfer Learning and Radiomics Features
Ankush D. Jamthikar, Quincy A. Hathaway, Kameswari Maganti, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Enhancing left ventricular segmentation in echocardiography with a modified mixed attention mechanism in SegFormer architecture
Hanqiong Wu, Gangrong Qu, Zhifeng Xiao, et al.
Heliyon (2024) Vol. 10, Iss. 15, pp. e34845-e34845
Open Access | Times Cited: 1
CC-SAM: SAM with Cross-Feature Attention and Context for Ultrasound Image Segmentation
Shreyank N Gowda, David A. Clifton
Lecture notes in computer science (2024), pp. 108-124
Closed Access
Myocardial Segmentation of 2D Echocardiography Based on the Improved Self-Attention Mechanism
Delong Li, Yixin Sun, Xue Han, et al.
(2024), pp. 33-37
Closed Access
Adaptive EfficientNet-DeeplabV3+ for Left Ventricular Wall Segmentation
Yoga Aji Sukma, Nur Iriawan, Irhamah Irhamah
(2023)
Closed Access | Times Cited: 1
GAMe-BiLSTM: a novel modified metaheuristic deep learning technique for non-ST-segment elevation myocardial infarction classification
Sachin Sambhaji Patil, Tanajirao Bapuso Mohite-Patil, Murali Kalipindi, et al.
International Journal of Information Technology (2024)
Closed Access
Uncertainty-Based Multi-modal Learning for Myocardial Infarction Diagnosis Using Echocardiography and Electrocardiograms
Yingyu Yang, Marie Rocher, Pamela Moceri, et al.
Lecture notes in computer science (2024), pp. 177-186
Open Access
Miyokard Enfarktüsü Hastalarının Tespitinde Doğrusal Olmayan Özniteliklerin Performans Analizi
Ali Narin, Merve Keser
Afyon Kocatepe University Journal of Sciences and Engineering (2024) Vol. 24, Iss. 6, pp. 1499-1505
Open Access
Dense-UNet with Network-Based Transfer Learning for Left Ventricular Wall Segmentation
Didik Bani Unggul, Nur Iriawan, Heri Kuswanto
(2023), pp. 1-6
Closed Access
Echocardiogram Image Quality Enhancement using Upsampling and Histogram Matching Methods
Zendi Zakaria Raga Permana, Ira Puspasari
Jurnal Teknik Elektro (2023) Vol. 14, Iss. 2, pp. 59-66
Open Access
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